Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
⛳ Places
🚶 Insights
👥 GeoPersona
📍Location SDK
At Echo Analytics, we specialize in curating the most precise and reliable point of interest (POI) datasets on a global scale, empowering our clients with invaluable location intelligence.
Serving as the reference for the physical world, our Places data presents an up-to-date repository of precise POI locations, enriched with comprehensive details such as:
Brands
Parent organization
Normalized addresses
Industries
Our dedication to transparency and data integrity is reflected in our robust metrics, which are readily available for evaluation.
In a world experiencing exponential growth in location data, the challenge lies in seamlessly integrating and managing diverse datasets to extract meaningful insights. We rely on our unified data schema and in-house methodology to take on this challenge and ensure high data quality and consistency.
With our solutions, location intelligence becomes accessible across all data silos, bridging any existing gaps.
For companies involved in multi-sourcing POIs from across the globe, like us, transparency in quality KPIs is paramount. Our data is sourced from diverse suppliers, and each country presents a different challenge. This diversity makes transparency not just a choice but a necessity, as it contributes to making informed decisions.
It allows us to assess our data and help our customers determine its suitability for their specific needs. To benchmark our data, we provide the KPI of our POI but also of key attributes and set quality thresholds for each country.
Trust and confidence in our data can be achieved by leveraging the country's confidence score, a tool that offers in-depth insights into the reliability and quality of the data we provide. This score is computed based on the three quality pillars of volume, accuracy, and completeness.
We assess the strength of our offering in terms of the sheer volume of valuable data we provide. This, in turn, allows us to confidently serve the needs of our clients across various industries and markets.
What is it?
Our accuracy grade is tailored to assess the coverage of brands in a country, to be within our acceptable range. For each well-known brand within a country, we compute the coverage by comparing the actual number of POIs available within our dataset to the expected number of POIs that were benchmarked through conducting market research.
What is it?
The completeness grade evaluates how well the essential attributes that help identify and define a POI are covered.
We defined our core attributes to be the website, opening hours, phone number, postal code, and administrative boundary.
Number of POI per country
Number of countries: 211
Completeness of website: 47%
Shapes coverage: 80%
Opening hours: 60%
Addresses: 100%
At Echo, our commitment to providing the most accurate and comprehensive POIs begins with a rigorous selection process. We understand the critical importance of data quality and precision, and we've developed a systematic approach to ensure that our POI products meet and exceed customer expectations.
Many countries have met our offering standards, including the number of POIs, data quality, and the number of brands.
Below is a sample of the countries we currently offer, but please inquire directly if you have additional coverage questions.
At Echo Analytics, we recognize the importance of trust in our data as a fundamental element in effectively expressing our uniqueness. Our focus extends beyond mere quantity; we place a significant emphasis on ensuring quality.
Our methodology for establishing the confidence score revolves around four core pillars: volume, brand accuracy, completeness and freshness. These standard pillars can be used on a country, industry, or POI Level. However, the scope of the V1 of the Confidence Score is limited to a country level.
GeoPersona is a cutting-edge solution analytical framework designed to decode complex visitation patterns and geospatial behaviors, transforming raw mobility data into actionable insights.
By leveraging advanced data processing techniques and geospatial analytics, GeoPersona provides businesses with a deep understanding of consumer movements and preferences, enhancing decision-making for marketing strategies, site selection, and customer experience optimization.
Brazil
8,299,221
IN
India
5,123,226
DE
Germany
4,384,555
MX
Mexico
3,897,393
FR
France
3,789,129
IT
Italy
3,425,677
GB
United Kingdom
3,376,990
ES
Spain
2,556,516
PL
Poland
1,878,732
CA
Canada
1,729,813
AU
Australia
1,612,083
AR
Argentina
1,279,325
NL
Netherlands
1,269,842
CO
Colombia
1,257,582
ZA
South Africa
913,238
RU
Russia
986,545
VN
Vietnam
854,735
BE
Belgium
719,736
UA
Ukraine
714,383
JP
Japan
689,268
CH
Switzerland
658,032
PT
Portugal
646,988
SE
Sweden
596,148
PH
Philippines
576,086
CZ
Czech Republic
536,874
RO
Romania
523,722
TW
Taiwan
472,005
AT
Austria
469,378
CL
Chile
420,638
TR
Turkey
407,658
GR
Greece
376,318
TH
Thailand
363,987
HU
Hungary
351,418
MY
Malaysia
345,134
CN
China
342,713
DK
Denmark
318,285
FI
Finland
302,246
NO
Norway
287,963
PK
Pakistan
259,692
SK
Slovakia
235,880
NZ
New Zealand
229,813
To ensure that our POI data is of the highest quality, we start by evaluating each country individually. This meticulous assessment involves several key criteria:
Market Research: We conduct extensive market research to benchmark the brand and industry coverage within a specific country. This involves identifying the presence of well-known brands and assessing industry prominence.
Number of POIs: We assess our total number of POIs within a country. This includes a thorough examination of data distribution across different industries and categories.
For example, we monitor our brand data quality for every country:
US
SUBWAY
in coverage
21 148
21 226
100%
US
Once we've gathered this valuable information, we use it to assign a quality grade to the country in question. This grade is determined by our internal quality thresholds, which are carefully designed to meet the highest industry standards.
A country enters our “offering” list when it successfully meets our established quality thresholds, which are stringent quality standards, guaranteeing that you will receive accurate, up-to-date, and comprehensive POI data.
Our meticulous approach to selecting our POI products by country is crucial for several reasons:
Accuracy: By evaluating data quality at the country level, we ensure that the POI information you receive is highly accurate and reliable.
Relevance: Our market research helps us understand the local business landscape, ensuring that our data covers the most pertinent and sought-after information.
Comprehensiveness: Our assessment of the number and distribution of POI ensures that you have access to a comprehensive dataset, empowering you with valuable insights.
At Echo, we take pride in our commitment to data quality and our dedication to providing you with the best POI products available. Our systematic selection process is just one example of how we prioritize precision and accuracy in everything we do.
US
United States
19,264,356
BR
We have recently made updates with brand matching and the integration of machine learning. These enhancements significantly improve the precision and efficiency of our data offerings, ensuring we deliver higher-quality results to our customers.
Key Improvements and Performance Gains
ML-Driven Matching: We've adopted an ML-based approach, allowing for more precise and flexible brand matching. This new system learns and iterates over time, providing better accuracy.
Brand Matching Confidence Score: We are now calculating a Brand Matching Confidence Score to provide insight into the confidence level of each branded POI, helping teams better assess data reliability.
Performances: We’ve seen a 27% improvement in precision. This leap is a game-changer for the accuracy of our data.
Reduced False Positives: We've significantly reduced the number of false positives (incorrectly branded POIs), a major issue for geolocation data providers, further improving overall data quality.
Configurable Thresholds: We’ve introduced configurable thresholds that allow us to fine-tune data quality controls, ensuring that we maintain the highest standards across different datasets.
Impact Across Industries
Industry-Specific Lists: Precision has improved across all countries and all industries.
Overall Impact on Branded POIs: While we have a slightly lower total number of branded POIs than before (since we reduced the number of false positives), the precision is much higher, leading to better data quality.
Why This is a Positive Change
This improvement means we have greater confidence in the accuracy of the brands we deliver, offering our customers higher-quality data.
Validation Efforts
To ensure quality, we’ve manually checked and annotated thousands of POIs, confirming the reliability of our results.
STARBUCKS
in coverage
15 444
15 540
101%
US
MCDONALD'S
in coverage
13 438
13 404
100%
US
DUNKIN'
in coverage
9 260
8 968
97%
US
TACO BELL
in coverage
7 823
7 925
101%
US
PIZZA HUT
in coverage
6 600
6 720
102%
Our coverage currently extends to:
Canada
France
Germany
Great Britain
Italy
Spain
United States
However, the availability of our Insights data is not limited to these countries, and as we grow our coverage, we will be opening new countries that meet our high-quality requirements. Reach out to Echo directly for more information.
Please note that to be included in our offering, a country must meet our stringent criteria of data quality and coverage.
We provide brands by country, with over 750 total brands across six geographies, allowing you to uncover brand affinities across audiences and markets.
The list is always being improved upon and brands are always being added.
Our advanced data ingestion and transformation workflow stands out from standard processes by incorporating machine learning (ML) for deduplication and detailed transformation steps to ensure the highest data quality. Here's a simplified description of the workflow:
Ingestion:
Sources: Data is initially ingested from our different sources, including open source and external providers.
Loading:
After ingestion, the data is loaded to be used in the next (and most complex) step.
Transformation:
The loaded data undergoes several meticulous transformation steps to standardize, match, and enhance it:
Deduplication by Pair: Every data source is deduplicated with a paired source using machine learning (ML) techniques. The order of pairing has been thoughtfully evaluated and tested, demonstrating our expertise in this area. This step identifies and removes duplicates.
Analytics:
The final stage involves in-depth analytics on the processed data:
: Calculates confidence scores for each country to assess data quality based on our internal methodology.
Place Analytics: Performs detailed analytics specific to POIs for actionable insights.
Machine Learning Deduplication: Unlike standard workflows, our deduplication process leverages machine learning to accurately identify and remove duplicates. This significantly improves data reliability and allows us to iterate and improve through continuous model training.
Detailed Transformation Steps: We implement comprehensive transformation steps, including brand, category, and shape matching, to ensure the highest level of data precision and consistency.
Multi-Source Integration: Our workflow seamlessly integrates data from multiple sources, ensuring a comprehensive and unified dataset.
This enhanced workflow ensures that data from multiple sources is ingested, deduplicated, standardized, matched, and formatted before being thoroughly analyzed and published, ultimately offering superior data quality and reliability.
GeoPersona employs a rigorous methodology to transform anonymized mobility data into actionable business insights, focusing on consumer behavior relative to points of interest (POIs). The process includes:
This stage involves gathering high-quality, anonymized location data from a wide range of mobile devices, ensuring diverse coverage that spans various demographics and geographies.
In December 2023, Echo Analytics location SDK company Roam.ai.
For the moment, please refer to our for additional information about our Location SDK offering.
Through advanced algorithms, this phase filters out noise from the raw data, honing in on signals that accurately depict intentional visitation patterns to POIs.
Machine learning models are utilized to attribute visitation signals to specific POIs, carefully distinguishing between meaningful visits and incidental pass-by traffic.
Analysis at this stage focuses on uncovering patterns based on the frequency of visits. This approach underpins the segmentation process, identifying unique behavioral trends.
Drawing from the behavioral analysis, geoprofiles are crafted to encapsulate the frequency and nature of interactions with POIs. These profiles provide insights into consumer habits, preferences, and inferred lifestyle segments, serving as a basis for segmentation.
The actionable insights derived from the segments are then leveraged to inform various strategic initiatives. This could range from targeted marketing campaigns to optimizing store placements, all designed to resonate with the distinct behaviors identified through the analysis.
This methodology offers a structured approach to understanding consumer visitation behaviors, focusing on the critical elements of frequency and visitor authenticity. By eschewing temporal details for a concentration on visit patterns, GeoPersona provides businesses with the nuanced insights needed to tailor their strategies effectively to consumer behaviors and preferences.
Brand Matching: Matches POIs with corresponding brands to ensure brand consistency. This step combines our internal knowledge (collected in our Master Data Management system) with ML methodologies to assign a brand to a POI.
Category Matching: Associates POIs with appropriate categories for better classification. The categories are classified according to our internal (Echo category) or NAICS (industry standard).
Shape Matching: Combines our Shapes and POI data based on our internal methodology to ensure geographical accuracy.
Format Standardization: Standardizes the data format for uniformity.
Cleaning: Removes irrelevant information from POIs to maintain privacy and consistency.
Publish: Finalizes and publishes the transformed data, ready for use by our customers and for further analysis.
High-Quality Analytics: Post-transformation, our data undergoes advanced analytics to provide valuable insights, improving decision-making processes.
Echo’s Insights transforms raw mobility signals into clean, structured, and privacy-compliant datasets for commercial analysis. Every metric, from visits to cross-brand interactions is accurate.
Our datasets originate from anonymized mobile location signals collected through third-party SDKs. These signals are filtered using multiple quality controls:
Spatial accuracy thresholds to exclude low-precision pings
Temporal validation to ensure consistent dwell and movement sequences
Device behavior modeling to detect real-world activity versus noise or spoofed signals
All signals are fully GDPR and CCPA compliant, and no personally identifiable information (PII) is ever included.
Echo identifies real-world visits using a combination of location signals and POI geometries. Visit detection requires:
Minimum dwell thresholds within a POI polygon
Temporal continuity (e.g., repeated pings over a sustained time)
Spatial alignment with POI centroids and boundaries
Echo strives to remove any false positives, such as passerbys with low dwell times or inaccurate lat-longs.
The Visits dataset captures the number of unique visit events per POI, per day. All visit counts are normalized across the platform to allow for relative comparisons across time and geography. Normalization includes:
Sample bias correction using panel calibration models
Device penetration rate estimation per country or region
Rolling average smoothing for trend analysis
Echo does not recommend using raw visit counts for absolute foot traffic volumes. Instead, our strength lies in directional, comparative, and time-normalized trends.
Dwell Time measures how long visitors remain at a location. We compute:
Median and average dwell duration
Distribution across dwell time buckets (e.g., 5–10 mins, 30–60 mins, etc.)
Visit segmentation by duration bands to support use cases like engagement analysis or queue detection
Dwell is calculated using high-frequency ping sessions within POI boundaries, validated across multiple days.
Catchment Areas define the home and work origins of visitors to a POI. Echo uses long-term signal clustering to determine:
Inferred home locations (based on night-time behavior)
Inferred work locations (based on weekday daytime patterns)
We aggregate and spatialize these locations using privacy-preserving H3 grids (Level 8), then generate trade area polygons reflecting the actual geographic pull of each POI.
Cross Visits measure the overlap between visitor sets for any two POIs, brands, or categories. Metrics include:
Shared visitor index: The percentage of visitors who go to both entities
Exclusive visitation rates: Measuring loyalty and brand differentiation
Category-level affinities: To detect latent brand connections
Cross-visitation is computed using de-duplicated, device-level visit logs and supports filters by time range, location, or visit frequency.
Visits Heatmaps spatially aggregate visit density into H3 Level 9 hexes. These are normalized by:
Device sampling rates
Total population baselines
Urban vs. rural weighting
Heatmaps help analysts understand neighborhood-level mobility patterns, detect points of interest without needing individual POIs, and support area-based demand modeling.
Visits and Dwell Time: Updated weekly
Catchment and Cross-visits: Refreshed monthly or quarterly, depending on country
Heatmaps: Recalculated monthly, with 3-month rolling averages available
All datasets are timestamped, versioned, and traceable to their processing pipeline version.
Echo Analytics uses only privacy-compliant data sources. All datasets are anonymized, aggregated, and subjected to minimum threshold filters to ensure no individual behavior is ever exposed.
GeoPersona is currently available in the following countries:
United States
Canada
France
Germany
Italy
Spain
United Kingdom
tier1_category
Echo Analytics has its own taxonomy, which indicates which industry the POI falls under. Tier 1 indicates the least granular category, E.g Retail
string
tier2_category
Echo Analytics has its own taxonomy, which indicates which business the POI operates in. Tier 2 indicates the most granular category level, E.g. Clothing Stores
string
tier1_naics_code
The code that belongs to the highest level tier of the North American Industry Classification System
integer
tier1_naics_category
The category that belongs to the highest level tier of the North American Industry Classification System
string
tier2_naics_code
The code that belongs to the second highest level tier of the North American Industry Classification System
integer
tier2_naics_category
The category that belongs to the second highest level tier of the North American Industry Classification System
string
tier3_naics_code
The code that belongs to the third highest level tier of the North American Industry Classification System
integer
tier3_naics_category
The category that belongs to the third highest level tier of the North American Industry Classification System
string
tier4_naics_code
The code belongs to the second to last level tier of the North American Industry Classification System
integer
tier4_naics_category
The category that belongs to the second to last level tier of the North American Industry Classification System
string
tier5_naics_code
The code that belongs to the lowest level tier of the North American Industry Classification System
integer
tier5_naics_category
The category that belongs to the lowest level tier of the North American Industry Classification System
string
business_status
This indicates whether the POI is operational, temporarily closed, or permanently closed
string
full_address
Full address of the POI, it contains all available information about the address. (street name, street number, admin boundaries, zip code, etc.)
string
street_address
Street number, street name
string
zip_code
Zip code
string
admin_boundary_1
State, region
string
admin_boundary_2
Municipality, Suburb, County
string
admin_boundary_3
City, village, town
string
admin_boundary_4
Smaller municipalities, Communes
string
admin_boundary_5
Neighborhoods, Wards, Sub-municipal boundaries
string
admin_boundary_6
Fine sub-divisions: Postal sectors, Census tracts
string
country_code
The country where the POI is located in a 2-letter ISO code format
string
latitude
The standard latitude in decimal degrees, truncated to 5 digits (approx. 1.11 meter accuracy)
float
longitude
The standard longitude in decimal degrees, truncated to 5 digits (approx. 1.11 meter accuracy)
float
geo_h3_id_level_10
A unique identifier for each H3 area (H3 = Uber's Hexagonal Hierarchical Spatial Index, a grid system with different granularity levels). At Echo, we use Level 10, which has an area of approximately 15 meters
string
parent_organization
A legal entity that runs the stated brand/franchise. This is the indicator of the business group that the company is listed under, Eg: Esso is owned by the Parent Organization Exxon Mobil Corporation
string
stock_ticker
The stock ticker symbol is a unique series of letters associated with publicly listed parent organisations E.g. McDonald's = MCD
string
opening_hours
Indicates the operating hours of the POI business (if applicable). Operating hours formatting can vary for each POI. E.g. (Mo-Fr 09:00-19:30; Sa 10:00-17:00)
string
phone_number
The phone number of the POI business (if applicable). E.g. +33673647563
string
website
URL of the official website tied to the POI business. Can sometimes be just the domain name of the company itself, can be a Facebook page associated to the business, or can be a detailed URL of the specific store of that chain
string
echo_poi_id
A POI's unique and consistent Identification code created by Echo Analytics
string
poi_name
Specific name of the physical place of interest
string
brand
A label indicating which chain/franchise the entity is operated by, if any. At Echo, an entity is only considered a brand if it has more than 3 physical locations and has a proprietary website
string
At Echo, we've adeptly leveraged the expansive scope of human mobility attributes to empower your analyses and provide invaluable insights into the world around you. Additionally, we offer aggregated historical data for certain countries, thereby significantly enhancing the depth and richness of your analytical insights.
Uncover the hidden secrets of human movement with our groundbreaking product, Insights (previously known as Activity). Moving forward, Echo's Insights products will be divided into sub-products based on their use case and the specific attributes central to those sub-products.
Revealing the World Through Mobility Attributes:
Insights is a robust dataset combined with our proprietary cleaning and normalization methodology, to ensure precision and depth in your analyses.
Let's explore the wealth of sub-products available:
Visits
This sub-product measures foot traffic to a POI over a given time period. Each record links visits to a specific POI, enabling temporal analysis of customer activity.
Visits Heatmap
This sub-product provides a spatial view of mobility patterns by aggregating visits into hexagonal cells (H3 Level 9). Normalized counts allow comparisons across geographies, revealing the density of visits at the neighborhood scale.
Catchment Area
This product defines the geographic footprint of a POI by showing where its visitors live and work. The dataset highlights the distribution of home and work locations and builds polygons that represent a POI’s effective trade area.
Dwell Time
Captures how long visitors stay at a POI. The dataset includes average dwell duration and statistical distributions across time buckets, with flexibility to analyze at the POI or brand level.
Cross Visits
Analyzes visitor overlap between brands, POIs, or categories. It quantifies both shared visitors and exclusive visitors, helping assess loyalty, competition, and brand affinity.
Working with Admin Boundaries and Uber H3 Geospatial Grid:
Our data isn't just insightful; it's structured for seamless integration. We work with admin boundaries and H3 grids, simplifying the process of incorporating our data into your existing systems and analyses.
Discover Deeper Insights with Historical Insights:
Echo is not just a data provider; with Insights, we provide a powerful tool for understanding human behavior and movement patterns. Whether you're a business optimizing location strategy, a city planner enhancing urban mobility, or a researcher unveiling behavioral trends, Insights has you covered.
Insights is your gateway to a world of historical human mobility data. Join the future of data-driven decision-making today and dive into the depths of human behavior and movement.
Our normalization validation exercises encompass several tests, each with a specific focus on the fidelity of our footfall data for ranking and time series analysis. By applying these tests, we aim to affirm that our normalization method not only provides a static snapshot of location footfall but is also capable of tracking and representing the dynamic nature of footfall activity over time. This temporal analysis is key for applications that require understanding and predicting patterns of movement and occupancy in specific areas.
The first test examines whether our normalized data can accurately reproduce the actual rankings of UK museums based on their visitation volumes, averaged monthly. This test is crucial to ensure that our normalization process can reliably reflect the relative popularity of locations based on visitor activity.
Ranking correlation score of 0.9 (Spearman’s rank coefficient)
In the second test, we perform a detailed month-to-month visit comparison for each UK museum. This step is intended to verify that our normalization is consistent over different time periods and that it accurately reflects the actual visits, ensuring that the process is robust across time without introducing temporal distortions.
The third test is focused on the Liverpool Business Improvement District (BID), where we analyze the weekly footfall counts to evaluate the performance of our normalization in time series analysis. This allows us to assess whether our normalized counts can maintain temporal integrity and accurately reflect footfall trends over time within the same location. It tests the ability of the normalization process to capture and represent the nuanced changes in visitor patterns that occur from week to week.
6
IMPERIAL WAR MUSEUM LONDON
5
4
NATIONAL RAILWAY MUSEUM
6
7
HORNIMAN MUSEUM
7
11
WALLACE COLLECTION
8
9
ROYAL ARMOURIES LEEDS
9
8
IMPERIAL WAR MUSEUM NORTH
10
10
NATURAL HISTORY MUSEUM SOUTH KENSINGTON
1
1
VICTORIA AND ALBERT MUSEUM
2
2
ROYAL MUSEUMS GREENWICH
3
3
TATE BRITAIN
4
Our volume grade considers the extent of coverage across various countries and regions, ensuring that our offerings aren't confined to particular areas.
The key elements we consider when calculating our volume score include the quantity of POIs, the count of unique brands, and the quantity of branded POIs.
The volume grade serves as a KPI crafted to compare our offerings across various countries. To facilitate this comparison, we needed to create a standardized method for evaluating the values.
Let's begin with an illustrative example.
BE
11,921,271
707,791
56,691
US
342,267,302
15,738,553
1,576,535
IMPORTANT: The POI count DOES NOT represent all the POIs available within a country, at Echo we focus solely on the commercial POIs.
When we examine countries like the United States (US) and Belgium (BE), it becomes apparent that the United States has a population roughly 29 times larger than Belgium’s. Therefore, a straightforward comparison based on the raw number of POIs would result in an inaccurate assessment.
The volume score is attained by computing the scores for the POI, branded POI and brand offering for each country. In order to allow for comparison, we adjusted the POIs, branded POIs and the Brands by the population. This allows us to account for crowded and highly populated areas.
NOTE: The Volume Grade is computed using the pillars of POI, Branded POI and Brand Offering.
Furthermore, by continuously expanding and enriching our dataset, ensuring its accuracy, and providing global coverage, we assess the strength of our offering in terms of the sheer volume of valuable data we provide. This, in turn, allows us to confidently serve the needs of our clients in various industries and markets.
The brand accuracy grade is the evaluation of the brands with a coverage within 80% - 120%. The brands used for this evaluation are attained from top brands. This list of brands is composed of 2 parts:
Global brand list: this is a list built from multiple sources (customer, historical data) not necessary consistent with our brand development strategy yet valuable from a customer standpoint. (any brand with an MRV, not part of the country specific brand list)
Country-specific brand list: this is an industry-specific brand list oriented built to meet country-level specificities.
This approach enables us to effectively evaluate the coverage performance for these highly influential brands.
We compute a score for each of the above list and we combine both score to provide the Brand Accuracy grade.
For each brand, we calculate the coverage rate by comparing the actual number of POIs available within our dataset to the expected number of POIs identified through comprehensive market research.
This analysis empowers us to evaluate the extent of coverage, pinpoint any potential coverage gaps, and make well-informed decisions based on the assigned coverage grades.
The completeness grade focuses on assessing the completeness of attributes that assist in identifying and defining a POI. We classify a POI as "complete" only when it possesses all the core attributes, which encompass the website, opening hours, phone number, postal code, and administrative boundary. These attributes collectively constitute the core identity of a POI.
So, how do we determine a completeness grade? We use algorithms to compute the status of each individual POI within a country, allowing us to attain a completeness % for the entire country. Therefore, if we have a completeness rate of 50% in the United States, it indicates that 50% of all the POIs available within the country have all the core attributes filled in.
By establishing a clearly defined set of core attributes, we can pinpoint areas that require improvement and ensure a more robust evaluation of POIs.
It's important to recognize that not every POI will possess all these attributes. The assessment of completeness applies to all POIs within the country; however since not all POIs are commercial POIs, the completion rate for attributes like website, contact number, and business hours might be lower. Hence we have adapted our Completeness Thresholds to reflect this.
The Freshness Score for our POI data is a strategic element aiming at enhancing the quality and reliability of the information we provide. By regularly assessing the freshness of our POIs, we can ensure that our data remains up-to-date, relevant, and valuable to our customers.
This score helps us balancing the cost and timing our data refresh. Regularly updating our data involves costs, and our goal is to strike the right balance between maintaining up-to-date information and managing those expenses efficiently.
For each POI, we assess when it was created and last updated, comparing these dates to the present. This enables us to calculate a freshness score at the POI level, which we then aggregate to provide insights at the country level.
The country score provides comprehensive insights into the confidence in the offering and quality of the data that is offered within the country.
The score is computed by combining the Volume, Brand Accuracy, Completeness and Freshness Grades. Given the varying significance of each of these grading criteria, we have thoughtfully incorporated a weightage system that meticulously computes and allocates weights according to their respective levels of importance.
Within our assessment framework, countries are assigned one of five potential ratings. Ratings of A+, A, and B indicate a strong confidence level in both the data quality and the available offerings within the respective country. A Grade of C indicates countries with some room for improvement but still deemed acceptable. Grade D is assigned to countries considered a work in progress.
Automobile Dealers
AUDI
Automobile Dealers
BMW
Automobile Dealers
CITROEN
Automobile Dealers
DACIA
Automobile Dealers
HYUNDAI
postal_code
The Postal Code for the area the data is for. For eg - ‘20001’
integer
postal_code_name
The assigned name for the Postal Code. For eg - ‘Inveruno’
string
region_name
The name of the region the Postal Code belongs to. For eg - ‘Lombardy’
string
Automobile Dealers
MERCEDES-BENZ
Automobile Dealers
PEUGEOT
Automobile Dealers
RENAULT
Automobile Dealers
SKODA
Automobile Dealers
TOYOTA
Automobile Dealers
VOLKSWAGEN
Clothing and Clothing Accessories Retailers
ARMAND THIERY
Clothing and Clothing Accessories Retailers
BERSHKA
Clothing and Clothing Accessories Retailers
BURBERRY
Clothing and Clothing Accessories Retailers
CELIO
Clothing and Clothing Accessories Retailers
CHANEL
Clothing and Clothing Accessories Retailers
DIOR
Clothing and Clothing Accessories Retailers
ETAM LINGERIE
Clothing and Clothing Accessories Retailers
FENDI
Clothing and Clothing Accessories Retailers
GEMO
Clothing and Clothing Accessories Retailers
GUCCI
Clothing and Clothing Accessories Retailers
H&M
Clothing and Clothing Accessories Retailers
HERMES
Clothing and Clothing Accessories Retailers
LOUIS VUITTON
Clothing and Clothing Accessories Retailers
MANGO
Clothing and Clothing Accessories Retailers
PRADA
Clothing and Clothing Accessories Retailers
PRIMARK
Clothing and Clothing Accessories Retailers
PULL AND BEAR
Clothing and Clothing Accessories Retailers
SAINT LAURENT
Clothing and Clothing Accessories Retailers
STRADIVARIUS
Clothing and Clothing Accessories Retailers
VERSACE
Clothing and Clothing Accessories Retailers
ZARA
Grocery and Convenience Retailers
ALDI
Grocery and Convenience Retailers
AUCHAN
Grocery and Convenience Retailers
CARREFOUR
Grocery and Convenience Retailers
CASINO SUPERMARCHE
Grocery and Convenience Retailers
FRANPRIX
Grocery and Convenience Retailers
INTERMARCHE
Grocery and Convenience Retailers
LIDL
Grocery and Convenience Retailers
MONOPRIX
Grocery and Convenience Retailers
NATURALIA
Grocery and Convenience Retailers
SUPER U
Restaurants and Other Eating Places
BUFFALO GRILL
Restaurants and Other Eating Places
BURGER KING
Restaurants and Other Eating Places
DOMINO'S
Restaurants and Other Eating Places
HIPPOPOTAMUS
Restaurants and Other Eating Places
KFC
Restaurants and Other Eating Places
MCDONALD'S
Restaurants and Other Eating Places
O'TACOS
Specialty Food Retailers
BRIOCHE DOREE
Specialty Food Retailers
MARIE BLACHERE
Specialty Food Retailers
PAUL
Traveler Accommodation
B&B HOTEL
Traveler Accommodation
CAMPANILE
Traveler Accommodation
GOLDEN TULIP
Traveler Accommodation
HILTON
Traveler Accommodation
IBIS
Traveler Accommodation
IBIS BUDGET
Traveler Accommodation
IBIS STYLES
Traveler Accommodation
MARRIOTT
Traveler Accommodation
MERCURE
Traveler Accommodation
NOVOTEL
Traveler Accommodation
PREMIERE CLASSE
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
E.LECLERC
country_code
The country code for the country the Postal Code belongs to. For eg - Italy is ‘IT’
string
geopersona_segment
The GeoPersona audience segmenting tag
string
brand_name
The brand for which affinity is being measured
string
affinity_index_regional
The affinity index of inhabitants for a particular postal code, as compared to the regional average (1 = Average, >1 = Over-Indexed/High Interest, <1 = Under-Indexed/Low interest)
float
affinity_index_national
The affinity index of inhabitants for a particular postal code, as compared to the national average (1 = Average, >1 = Over-Indexed/High Interest, <1 = Under-Indexed/Low interest)
float
quarter_range_start
Indicates the starting date of the quarter the data was computed (2023-01-01 would indicate the beginning of Q1 2023)
date object
quarter_range_end
Indicates the ending date of the quarter the data was computed (2023-03-31 would indicate the end of Q1 2023)
date object
population
The number of inhabitants in the given postal code
integer
households
The number of households in the given postal code
integer
purchasing_power_per_capita_in_euros
The individual level disposable income for the given postal code
integer
purchasing_power_per_household_in_euros
The household level disposable income for the given postal code
integer
pop_age_0_to_20_years
Population between 0 to 20 years
integer
pop_0_to_20_years_male
Male population between 0 to 20 years
integer
pop_0_to_20_years_female
Female population between 0 to 20 years
integer
pop_age_20_to_35_years
Population between 20 to 35 years
integer
pop_20_to_35_years_male
Male population between Population between 20 to 35 years
integer
pop_20_to_35_years_female
Female population between Population between 20 to 35 years
integer
pop_age_35_to_45_years
Population between 35 to 45 years
integer
pop_35_to_45_years_male
Male population between 35 to 45 years
integer
pop_35_to_45_years_female
Female population between 35 to 45 years
integer
pop_age_45_to_60_years
Population between 45 to 60 years
integer
pop_45_to_60_years_male
Male population between 45 to 60 years
integer
pop_45_to_60_years_female
Female population between 45 to 60 years
integer
pop_age_60_and_older
Population 60 and older
integer
pop_60_and_older_male
Male population 60 and older
integer
pop_60_and_older_female
Female population 60 and older
integer
echo_poi_id
A POI's unique and consistent identification code created by Echo Analytics
string
*Dwell time can also be aggregated at a brand level, available on a custom basis. Please reach out to Echo for more information.
*Echo can provide this analysis at a POI level (comparing POIs versus POIs). Moreover, cross-visits can be assessed not only with individual brands or POIs but also with broader POI categories (such as fast food, clothing, and other retail segments). Please reach out to Echo for more information.
At Echo Analytics, we take pride in our data workflow, which is built on industry best practices and implementing our own algorithm rooted in machine learning methodologies.
Ingestion: When it comes to ingesting POI data for our location intelligence, we employ a multi-sourcing approach. There are two primary reasons for this:
Data validation: Cross-referencing data from multiple sources allows for data validation. Inconsistent or conflicting information can be identified and resolved, ensuring the data provided is reliable and trustworthy.
Dealing with complexity: POI data can be intricate. Businesses open, close, or relocate, and data types vary. Multi-sourcing allows us to stay up to date, allowing us to provide a diverse dataset.
Deduplication: Duplicates are a common occurrence in geospatial data domains, and this issue is magnified when we integrate data from multiple sources and undergo regular data refresh cycles. This phenomenon is perfectly normal in our data landscape, but its significance cannot be underestimated.
At Echo Analytics, one of our primary objectives is to provide POI with a comprehensive and highly valuable range of attributes. We achieve this by harnessing data from diverse sources.
Thanks to our machine learning algorithms, we can deliver precise, additional insights on brands and taxonomy.
Brands
Determining whether a given POI is affiliated with a brand is a complex topic. Relying on the specific information collected about the POI and the brands themselves, we establish a connection which is then used by our system to enrich the POI by appending key brand-related information, such as:
Website links
Stock tickers
Parent organization details
Understanding the intricate industry landscape through POIs can be a complex task, especially given the multitude of existing standards.
To simplify this, we've:
Crafted our own taxonomy
Aligned with established industry standards like NAICS
This ensures our data is:
Comprehensive
Universally accessible
Adaptable for a wide array of applications
How do we determine a place's uniqueness?
Echo_POI_ID: A location can have multiple names, addresses, or IDs across different datasets. Sometimes this information can be messy, change over time, or not be unique (e.g., multiple businesses at one address).
Example: Imagine a popular coffee shop located at 123 Main Street, which has undergone a few changes over the years:
Originally named “Cafe Main”,
It was later changed into “Cafe 123”.
Without a standardized identifier, it could be challenging to track these changes and connect the data accurately.
Therefore, we need to find a unique and persistent solution to identify a place over time, ensuring POI unique IDs are designed to possess certain key characteristics:
Uniqueness: The ID is a readable sequence of characters that serves as a distinctive identifier for a POI. This uniqueness is essential to avoid any confusion when working with various data sources.
Consistency: The ID remains consistent over time and across different updates from various sources. This ensures that it remains reliable regardless of changes in data or source variations.
Independence: The ID is not influenced by “Mix and Match” rules or deduplication processes. It stands independently, unaffected by these operations, providing a stable reference point.
Because we prefer using industry standards to simplify data adoption for our customers, we decided to implement a solution inspired by PlaceKey.
Why not PlaceKey? The PlaceKey solution has limited coverage worldwide, while we currently offer POI across 62 countries.
Our Echo_POI_ID consists of two distinct parts:
“What”: Found on the left side of the '@' symbol, this part provides details about the actual Place name and its associated address. It helps us identify the POI.
“Where”: Located to the right of the '@' symbol, this part describes the specific H3 hexagons of resolution (e.g., 2, 5, and 10) where the Place is situated. This spatial information allows us to precisely locate a POI.
Addresses often come in myriad formats due to variations in how people and organizations write addresses. This diversity can include different abbreviations, spellings, and conventions, making it challenging to establish a consistent format. Address normalization offers several benefits, including:
Data Quality: It enhances our ability to comprehend and assess addresses, enabling us to rectify errors, standardize formats, and eliminate irregularities. This is fundamental for ensuring dependable location-based analysis.
Data Integration: When working with POI data from multiple sources, each source may have its own address format and conventions. Normalizing addresses standardizes the data, making it easier to integrate and compare information from various sources.
In order to provide a better insight to our customers, in December 2022, we decided to implement the first version of our address normalization:
What are the benefits of our POI? An improved data completeness for geographical attributes:
ZIP code: 90%
Admin boundary 1: 90%
Admin boundary 2: 100%
Admin boundary 3: 90%
date_range_end
The end date of data collection for data delivered
date
Num_of_visits_per_1M_observed_users
Visits to the analyzed POI, expressed per one million devices observed across the country. A nationally normalized count
integer
The country where the POI is located in a 2-letter ISO code format
string
latitude
The standard latitude in decimal degrees, truncated to 5 digits (approx. 1.11 meter accuracy)
float
longitude
The standard longitude in decimal degrees, truncated to 5 digits (approx. 1.11 meter accuracy)
float
geo_h3_id_level_10
A unique identifier for each H3 area (H3 = Uber's Hexagonal Hierarchical Spatial Index, a grid system with different granularity levels). At Echo, we use Level 10, which has an area of approximately 0,015 squared km
string
date_range_start
The start date of data collection for data delivered
date
date_range_end
The end date of data collection for data delivered
date
home_hex_id/home_zip_code/home_iris_code
The top 10 hexagons level 10/zip codes/IRIS containing the POI visitors' home locations. Insights at IRIS code level are available only in France
integer
home_percent
The percentage of visitors with home locations in a given hexagon / zip code / IRIS
float
work_hex_id
The top 10 hexagons level 10/zip codes/IRIS containing the POI visitors' work locations
string
work_percent
The percentage of visitors with work locations in a given hexagon / zip code / IRIS
float
catchment_area_polygon
The geometric shape built using the Top 10 home & work hexagons / zip codes / IRIS of visitors of a given POI
geography
latitude
The standard latitude in decimal degrees, truncated to 5 digits (approx. 1.11 meter accuracy)
float
longitude
The standard longitude in decimal degrees, truncated to 5 digits (approx. 1.11 meter accuracy)
float
geo_h3_id_level_10
A unique identifier for each H3 area (H3 = Uber's Hexagonal Hierarchical Spatial Index, a grid system with different granularity levels). At Echo, we use Level 10, which has an area of approximately 0,015 squared km
string
date_range_start
The start date of data collection for data delivered
date
date_range_end
The end date of data collection for data delivered
date
avgDuration (s)
Average dwell time in seconds
integer
distribution
Statistical distribution of dwell times in pre defined buckets (range 1 : from 0 to 15 minutes, range 2: from 15 minutes to 30 minutes, range 3: from 30 minutes to 45 minutes, range 4: from 45 minutes to 60 minutes, range 5: more than 60 minutes)
float
percent_shared_visitors
Percentage of shared visitors with selected target brands
float
percent_exclusive_visitors
The percentage of visitors who were observed exclusively at the selected brand and did not appear at the target brands during the observation period. This metric reflects the level of visit exclusivity
float
poi_name
Specific name of the point of interest
string
brand
A label indicating which chain/franchise the entity is operated by, if any. At Echo, an entity is only considered a brand if it has more than 3 physical locations and has a proprietary website
string
country_code
The country where the POI is located in a 2-letter ISO code format
string
latitude
The standard latitude in decimal degrees, truncated to 5 digits (approx. 1.11 meter accuracy)
float
longitude
The standard longitude in decimal degrees, truncated to 5 digits (approx. 1.11 meter accuracy)
float
geo_h3_id_level_10
A unique identifier for each H3 area (H3 = Uber's Hexagonal Hierarchical Spatial Index, a grid system with different granularity levels). At Echo, we use Level 10, which has an area of approximately 0,015 squared km
string
date_range_start
The start date of data collection for data delivered
date
date_range_end
The end date of data collection for data delivered
date
Num_of_ unique_visitors_per_1M_observed_users
Unique devices visiting the analyzed POI, expressed per one million devices observed across the country. A nationally normalized count
integer
Num_of_visits_per_1M_observed_users
Visits to the analyzed POI, expressed per one million devices observed across the country. A nationally normalized count
integer
geo_h3_id_level_9
A unique identifier for each H3 area level 9 (H3 = Uber's Hexagonal Hierarchical Spatial Index, a grid system with different granularity levels). Level 9 has an area of approximately 0,10 squared km
string
latitude
The standard latitude in decimal degrees, truncated to 5 digits (approx. 1.11 meter accuracy)
float
longitude
The standard longitude in decimal degrees, truncated to 5 digits (approx. 1.11 meter accuracy)
float
date_range_start
The start date of data collection for data delivered
date
echo_poi_id
A POI's unique and consistent identification code created by Echo Analytics
string
poi_name
Specific name of the point of interest
string
brand
A label indicating which chain/franchise the entity is operated by, if any. At Echo, an entity is only considered a brand if it has more than 3 physical locations and has a proprietary website
string
echo_poi_id
A POI's unique and consistent identification code created by Echo Analytics
string
poi_name
Specific name of the point of interest
string
brand
A label indicating which chain/franchise the entity is operated by, if any. At Echo, an entity is only considered a brand if it has more than 3 physical locations and has a proprietary website
string
country_code
The country where the POI is located in a 2-letter ISO code format
string
brand
Main Brand of the analysis
string
country_code
The country where the POI is located in a 2-letter ISO code format
string
date_range_start
The start date of data collection for data delivered
date
date_range_end
The end date of data collection for data delivered
date
country_code
-74.0067
Central Park
212-555-4321
59th St & 5th Ave
40.7648
-73.9720
Central Park
59th Street & Fifth Ave
40.7651
-73.9723
Coffee
555-789-0123
456 Java Ave
34.0522
-118.2437
Coffee Haven
555-789-0123
456 Java Avenue
34.0522
-118.2436
Joe's Pizza
555-123-4567
123 Main St, Suite 101
40.7128
-74.0061
Pizzeria
555-123-4567
123 Main St, Suite 101
40.7130
Accounting, Tax Preparation, Bookkeeping, and Payroll Services
H&R BLOCK
Activities Related to Real Estate
CENTURY 21
Activities Related to Real Estate
RE/MAX
Activities Related to Real Estate
ROYAL LEPAGE
Automobile Dealers
CHEVROLET
Automobile Dealers
DODGE
Automobile Dealers
FORD
Automobile Dealers
HONDA
Automobile Dealers
HYUNDAI
Automobile Dealers
KIA
Automobile Dealers
MAZDA
Automobile Dealers
NISSAN
Automobile Dealers
TOYOTA
Automotive Equipment Rental and Leasing
AVIS
Automotive Equipment Rental and Leasing
BUDGET
Automotive Parts, Accessories, and Tire Retailers
CARQUEST
Automotive Parts, Accessories, and Tire Retailers
KAL TIRE
Automotive Parts, Accessories, and Tire Retailers
NAPA AUTO PARTS
Automotive Repair and Maintenance
FIX AUTO WORLDWIDE
Beer, Wine, and Liquor Retailers
LCBO
Building Material and Supplies Dealers
HOME DEPOT
Building Material and Supplies Dealers
HOME HARDWARE
Building Material and Supplies Dealers
RONA
Building Material and Supplies Dealers
SHERWIN-WILLIAMS
Building Material and Supplies Dealers
THE BRICK
Clothing and Clothing Accessories Retailers
ARDENE
Clothing and Clothing Accessories Retailers
REITMANS
Clothing and Clothing Accessories Retailers
SUNGLASS HUT
Couriers and Express Delivery Services
THE UPS STORE
Department Stores
CANADIAN TIRE
Department Stores
WALMART
Department Stores
WINNERS
Depository Credit Intermediation
CIBC
Depository Credit Intermediation
HSBC
Depository Credit Intermediation
NATIONAL BANK
Depository Credit Intermediation
ROYAL BANK OF CANADA
Depository Credit Intermediation
SCOTIA BANK
Depository Credit Intermediation
TD
Electronic and Precision Equipment Repair and Maintenance
CANADA POST
Electronics and Appliance Retailers
BEST BUY
Electronics and Appliance Retailers
GAMESTOP
Gasoline Stations
ESSO
Gasoline Stations
HUSKY
Gasoline Stations
PETRO CANADA
General Medical and Surgical Hospitals
MIDAS
Grocery and Convenience Retailers
7-ELEVEN
Grocery and Convenience Retailers
ALIMENTATION COUCHE-TARD
Grocery and Convenience Retailers
CIRCLE K
Grocery and Convenience Retailers
IGA
Grocery and Convenience Retailers
METRO
Grocery and Convenience Retailers
ON THE RUN
Grocery and Convenience Retailers
SAFEWAY
Grocery and Convenience Retailers
SOBEY'S
Grocery and Convenience Retailers
THE BEER STORE
Health and Personal Care Retailers
FAMILIPRIX
Health and Personal Care Retailers
NO FRILLS
Health and Personal Care Retailers
PHARMASAVE
Health and Personal Care Retailers
REXALL
Health and Personal Care Retailers
SHOPPERS DRUG MART
Management, Scientific, and Technical Consulting Services
EDWARD JONES
Other Amusement and Recreation Industries
GOODLIFE FITNESS
Other Miscellaneous Retailers
PET VALU
Other Miscellaneous Retailers
PETSMART
Other Miscellaneous Retailers
STAPLES
Other Personal Services
INDIGO
Postal Service
UPS
Professional and Commercial Equipment and Supplies Merchant Wholesalers
COSTCO
Restaurants and Other Eating Places
A&W CANADA
Restaurants and Other Eating Places
BOOSTER JUICE
Restaurants and Other Eating Places
BOSTON PIZZA
Restaurants and Other Eating Places
BURGER KING
Restaurants and Other Eating Places
COUNTRY STYLE
Restaurants and Other Eating Places
DAIRY QUEEN
Restaurants and Other Eating Places
DOMINO'S
Restaurants and Other Eating Places
HARVEY'S
Restaurants and Other Eating Places
KFC
Restaurants and Other Eating Places
MCDONALD'S
Restaurants and Other Eating Places
PAPA JOHN'S
Restaurants and Other Eating Places
PITA PIT
Restaurants and Other Eating Places
PIZZA HUT
Restaurants and Other Eating Places
PIZZA PIZZA
Restaurants and Other Eating Places
POPEYES
Restaurants and Other Eating Places
STARBUCKS
Restaurants and Other Eating Places
SUBWAY
Restaurants and Other Eating Places
SUSHI SHOP
Restaurants and Other Eating Places
TACO BELL
Restaurants and Other Eating Places
THAI EXPRESS
Restaurants and Other Eating Places
TIM HORTONS
Restaurants and Other Eating Places
WENDY'S
Specialized Design Services
LIBERTY TAX
Specialty Food Retailers
BULK BARN
Sporting Goods, Hobby, and Musical Instrument Retailers
SPORTSCHECK
Traveler Accommodation
DAYS INN
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
DOLLAR TREE
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
DOLLARAMA
Wired and Wireless Telecommunications (except Satellite)
BELL
Wired and Wireless Telecommunications (except Satellite)
FIDO
Wired and Wireless Telecommunications (except Satellite)
FREEDOM MOBILE
Wired and Wireless Telecommunications (except Satellite)
ROGERS
Wired and Wireless Telecommunications (except Satellite)
TELUS
Activities Related to Credit Intermediation
MONEYGRAM
Automobile Dealers
AUDI
Automobile Dealers
BMW
Automobile Dealers
CITROEN
Automobile Dealers
DACIA
Agencies, Brokerages, and Other Insurance Related Activities
AXA
Agencies, Brokerages, and Other Insurance Related Activities
LVM VERSICHERUNG
Agencies, Brokerages, and Other Insurance Related Activities
SIGNAL IDUNA
Automobile Dealers
AUDI
Automobile Dealers
BMW
Below you'll find a list of the countries with the highest level of quality (A+, A, and B). Please to learn more about any countries not listed.
Automobile Dealers
FORD
Automobile Dealers
HONDA
Automobile Dealers
HYUNDAI
Automobile Dealers
KIA
Automobile Dealers
MERCEDES-BENZ
Automobile Dealers
MINI
Automobile Dealers
NISSAN
Automobile Dealers
PEUGEOT
Automobile Dealers
SKODA
Automobile Dealers
TOYOTA
Automobile Dealers
VAUXHALL
Automobile Dealers
VOLKSWAGEN
Automotive Equipment Rental and Leasing
ENTERPRISE RENT-A-CAR
Automotive Parts, Accessories, and Tire Retailers
HALFORDS
Automotive Parts, Accessories, and Tire Retailers
KWIK-FIT
Book Retailers and News Dealers
THE WORKS
Building Material and Supplies Dealers
B&Q
Building Material and Supplies Dealers
EURONICS
Building Material and Supplies Dealers
JEWSON
Building Material and Supplies Dealers
SCREWFIX
Building Material and Supplies Dealers
TOOLSTATION
Building Material and Supplies Dealers
TRAVIS PERKINS
Building Material and Supplies Dealers
WILKO
Civic and Social Organizations
RED CROSS
Civic and Social Organizations
SALVATION ARMY
Clothing and Clothing Accessories Retailers
ADIDAS
Clothing and Clothing Accessories Retailers
BURBERRY
Clothing and Clothing Accessories Retailers
CHANEL
Clothing and Clothing Accessories Retailers
CLAIRE'S STORES
Clothing and Clothing Accessories Retailers
DIOR
Clothing and Clothing Accessories Retailers
FENDI
Clothing and Clothing Accessories Retailers
GUCCI
Clothing and Clothing Accessories Retailers
H&M
Clothing and Clothing Accessories Retailers
HERMES
Clothing and Clothing Accessories Retailers
LEVI'S
Clothing and Clothing Accessories Retailers
LOUIS VUITTON
Clothing and Clothing Accessories Retailers
MANGO
Clothing and Clothing Accessories Retailers
NEW LOOK
Clothing and Clothing Accessories Retailers
PEACOCKS
Clothing and Clothing Accessories Retailers
PRADA
Clothing and Clothing Accessories Retailers
PRIMARK
Clothing and Clothing Accessories Retailers
SAINT LAURENT
Clothing and Clothing Accessories Retailers
SPORTS DIRECT
Clothing and Clothing Accessories Retailers
THE NORTH FACE
Clothing and Clothing Accessories Retailers
VERSACE
Clothing and Clothing Accessories Retailers
ZARA
Couriers and Express Delivery Services
UPS
Department Stores
ARGOS
Department Stores
MARKS AND SPENCER
Department Stores
NEXT
Department Stores
TK MAXX
Depository Credit Intermediation
BANK OF SCOTLAND
Depository Credit Intermediation
BARCLAYS
Depository Credit Intermediation
HANDELSBANKEN
Depository Credit Intermediation
HSBC
Depository Credit Intermediation
NATWEST BANK
Depository Credit Intermediation
SANTANDER
Electronics and Appliance Retailers
CEX
Electronics and Appliance Retailers
GAME
Electronics and Appliance Retailers
O2 SHOP
Gasoline Stations
BP
Gasoline Stations
GULF OIL
Gasoline Stations
SHELL
Gasoline Stations
TEXACO
Grocery and Convenience Retailers
ASDA
Grocery and Convenience Retailers
BP EXPRESS SHOP
Grocery and Convenience Retailers
CO-OP
Grocery and Convenience Retailers
ICELAND
Grocery and Convenience Retailers
ICELAND FOODS
Grocery and Convenience Retailers
LIDL
Grocery and Convenience Retailers
LONDIS
Grocery and Convenience Retailers
MORRISONS
Grocery and Convenience Retailers
ONE STOP
Grocery and Convenience Retailers
RS MCCOLL
Grocery and Convenience Retailers
SAINSBURY'S
Grocery and Convenience Retailers
SAINSBURY'S LOCAL
Grocery and Convenience Retailers
SPAR
Grocery and Convenience Retailers
TESCO
Grocery and Convenience Retailers
WAITROSE
Health and Personal Care Retailers
BOOTS
Health and Personal Care Retailers
HOLLAND AND BARRETT
Health and Personal Care Retailers
LLOYDSPHARMACY
Health and Personal Care Retailers
SALLY BEAUTY
Health and Personal Care Retailers
SPECSAVERS
Health and Personal Care Retailers
SUPERDRUG
Health and Personal Care Retailers
THE BODY SHOP
Health and Personal Care Retailers
VISION EXPRESS
Health and Personal Care Retailers
WELL PHARMACY
Office Supplies, Stationery, and Gift Retailers
CARDFACTORY
Office Supplies, Stationery, and Gift Retailers
WHSMITH
Offices of Dentists
MYDENTIST
Other Miscellaneous Retailers
PETS AT HOME
Other Personal Services
APCOA PARKING
Other Professional, Scientific, and Technical Services
VETS4PETS
Personal and Household Goods Repair and Maintenance
TIMPSON
Restaurants and Other Eating Places
BURGER KING
Restaurants and Other Eating Places
CAFFE NERO
Restaurants and Other Eating Places
COSTA COFFEE
Restaurants and Other Eating Places
DOMINO'S
Restaurants and Other Eating Places
FIVE GUYS
Restaurants and Other Eating Places
KFC
Restaurants and Other Eating Places
MCDONALD'S
Restaurants and Other Eating Places
NANDO'S
Restaurants and Other Eating Places
PAPA JOHN'S
Restaurants and Other Eating Places
PIZZA EXPRESS
Restaurants and Other Eating Places
PIZZA HUT
Restaurants and Other Eating Places
PRET A MANGER
Restaurants and Other Eating Places
STARBUCKS
Restaurants and Other Eating Places
SUBWAY
Restaurants and Other Eating Places
TOBY CARVERY
Restaurants and Other Eating Places
WAGAMAMA
Shoe Retailers
SHOE ZONE
Specialty Food Retailers
GREGGS
Sporting Goods, Hobby, and Musical Instrument Retailers
JD SPORTS
Sporting Goods, Hobby, and Musical Instrument Retailers
NIKE
Traveler Accommodation
CROWNE PLAZA
Traveler Accommodation
DOUBLETREE BY HILTON
Traveler Accommodation
HILTON
Traveler Accommodation
HOLIDAY INN EXPRESS
Traveler Accommodation
IBIS
Traveler Accommodation
MARRIOTT
Traveler Accommodation
MERCURE
Traveler Accommodation
NOVOTEL
Traveler Accommodation
PREMIER INN
Traveler Accommodation
RADISSON BLU
Traveler Accommodation
TRAVELODGE
Used Merchandise Retailers
CANCER RESEARCH UK
Used Merchandise Retailers
OXFAM
Used Merchandise Retailers
SAVERS
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
ALDI
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
B&M
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
HOME BARGAINS
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
POUNDLAND
Wired and Wireless Telecommunications (except Satellite)
EE
Automobile Dealers
CITROEN
Automobile Dealers
FIAT
Automobile Dealers
FORD
Automobile Dealers
HYUNDAI
Automobile Dealers
MAZDA
Automobile Dealers
MERCEDES-BENZ
Automobile Dealers
MITSUBISHI
Automobile Dealers
NISSAN
Automobile Dealers
OPEL
Automobile Dealers
PEUGEOT
Automobile Dealers
SEAT
Automobile Dealers
SKODA
Automobile Dealers
SUBARU
Automobile Dealers
TOYOTA
Automobile Dealers
VOLKSWAGEN
Automobile Dealers
VOLVO
Automotive Repair and Maintenance
A.T.U
Automotive Repair and Maintenance
CARGLASS
Automotive Repair and Maintenance
DEKRA
Automotive Repair and Maintenance
JUNITED AUTOGLAS
Automotive Repair and Maintenance
PIT STOP
Building Material and Supplies Dealers
EURONICS
Building Material and Supplies Dealers
OBI
Building Material and Supplies Dealers
TEDI
Building Material and Supplies Dealers
TOOM BAUMARKT
Building Material and Supplies Dealers
WUERTH
Clothing and Clothing Accessories Retailers
ADIDAS
Clothing and Clothing Accessories Retailers
BONITA
Clothing and Clothing Accessories Retailers
BURBERRY
Clothing and Clothing Accessories Retailers
C&A
Clothing and Clothing Accessories Retailers
CHANEL
Clothing and Clothing Accessories Retailers
DIOR
Clothing and Clothing Accessories Retailers
ERNSTING'S FAMILY
Clothing and Clothing Accessories Retailers
FENDI
Clothing and Clothing Accessories Retailers
GUCCI
Clothing and Clothing Accessories Retailers
H&M
Clothing and Clothing Accessories Retailers
HERMES
Clothing and Clothing Accessories Retailers
HUGO BOSS
Clothing and Clothing Accessories Retailers
JACK & JONES
Clothing and Clothing Accessories Retailers
KIK
Clothing and Clothing Accessories Retailers
LOUIS VUITTON
Clothing and Clothing Accessories Retailers
MANGO
Clothing and Clothing Accessories Retailers
NKD
Clothing and Clothing Accessories Retailers
ONLY
Clothing and Clothing Accessories Retailers
PEEK & CLOPPENBURG
Clothing and Clothing Accessories Retailers
PRADA
Clothing and Clothing Accessories Retailers
S.OLIVER
Clothing and Clothing Accessories Retailers
SAINT LAURENT
Clothing and Clothing Accessories Retailers
TAKKO FASHION
Clothing and Clothing Accessories Retailers
VERSACE
Clothing and Clothing Accessories Retailers
ZARA
Couriers and Express Delivery Services
DHL
Couriers and Express Delivery Services
DHL PAKETSHOP
Couriers and Express Delivery Services
GLS-ONE
Couriers and Express Delivery Services
HERMES PAKETSHOP
Depository Credit Intermediation
COMMERZBANK
Depository Credit Intermediation
DEUTSCHE BANK
Depository Credit Intermediation
HYPOVEREINSBANK
Depository Credit Intermediation
POSTBANK
Depository Credit Intermediation
VR-BANK
Electronics and Appliance Retailers
MOBILCOM DEBITEL
Electronics and Appliance Retailers
O2 SHOP
Electronics and Appliance Retailers
SATURN
Furniture and Home Furnishings Retailers
DEPOT
Furniture and Home Furnishings Retailers
JYSK
Furniture and Home Furnishings Retailers
MATRATZEN CONCORD
Gasoline Stations
AGIP
Gasoline Stations
ARAL
Gasoline Stations
AVIA
Gasoline Stations
ESSO
Gasoline Stations
HEM
Gasoline Stations
JET
Gasoline Stations
STAR
Gasoline Stations
TANKPOOL24
Gasoline Stations
WESTFALEN
Grocery and Convenience Retailers
ALDI
Grocery and Convenience Retailers
ALNATURA
Grocery and Convenience Retailers
EDEKA
Grocery and Convenience Retailers
GLOBUS
Grocery and Convenience Retailers
LIDL
Grocery and Convenience Retailers
METRO
Grocery and Convenience Retailers
REWE
Grocery and Convenience Retailers
SPAR EXPRESS
Health and Personal Care Retailers
AMPLIFON
Health and Personal Care Retailers
APOLLO-OPTIK
Health and Personal Care Retailers
DM-DROGERIE
Health and Personal Care Retailers
EYES + MORE
Health and Personal Care Retailers
KIND
Health and Personal Care Retailers
MUELLER
Health and Personal Care Retailers
RITUALS
Health and Personal Care Retailers
ROSSMANN
Machine Shops; Turned Product; and Screw, Nut, and Bolt Manufacturing
SCHAFER'S
Motor Vehicle and Motor Vehicle Parts and Supplies Merchant Wholesalers
MAN TRUCK & BUS
Motor Vehicle and Motor Vehicle Parts and Supplies Merchant Wholesalers
SCANIA
Other Miscellaneous Retailers
DAS FUTTERHAUS
Other Miscellaneous Retailers
FRESSNAPF
Other Personal Services
CONTIPARK
Professional and Commercial Equipment and Supplies Merchant Wholesalers
LEKKERLAND
Restaurants and Other Eating Places
BLOCK HOUSE
Restaurants and Other Eating Places
BURGER KING
Restaurants and Other Eating Places
DOMINO'S
Restaurants and Other Eating Places
FIVE GUYS
Restaurants and Other Eating Places
KFC
Restaurants and Other Eating Places
MCDONALD'S
Restaurants and Other Eating Places
NORDSEE
Restaurants and Other Eating Places
STARBUCKS
Restaurants and Other Eating Places
SUBWAY
Restaurants and Other Eating Places
VAPIANO
Shoe Retailers
DEICHMANN
Specialty Food Retailers
KAMPS
Specialty Food Retailers
STEINECKE
Traveler Accommodation
B&B HOTEL
Traveler Accommodation
BEST WESTERN
Traveler Accommodation
IBIS
Traveler Accommodation
IBIS BUDGET
Traveler Accommodation
LEONARDO HOTELS
Traveler Accommodation
MARITIM HOTELS
Traveler Accommodation
MERCURE
Traveler Accommodation
NH HOTELS
Traveler Accommodation
NOVOTEL
Traveler Accommodation
RADISSON BLU
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
ACTION
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
ALDI NORD
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
ALDI SUD
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
KAUFLAND
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
NETTO MARKEN-DISCOUNT
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
NORMA
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
PENNY
Wired and Wireless Telecommunications (except Satellite)
TELEKOM DEUTSCHLAND
Wired and Wireless Telecommunications (except Satellite)
VODAFONE
A+
A
A
BE
Belgium
A+
A+
A+
B
A+
US
United States
A+
A+
A+
B
A
GB
United Kingdom
A+
A+
A
A
A+
NL
Netherlands
A+
A+
A
A
A+
FI
Finland
A+
A+
A
C
A+
SE
Sweden
A
A+
A
B
A
AU
Australia
A
A+
B
A
C
ES
Spain
A
A+
B
B
A+
FR
France
A
A+
B
B
A+
NO
Norway
A
A+
B
B
A+
IT
Italy
A
A+
B
C
A+
DE
Germany
A
A+
C
B
A+
LI
Liechtenstein
A
A+
D
A
A
GI
Gibraltar
A
A+
D
A
A+
LT
Lithuania
A
A+
D
A
A+
MC
Monaco
A
A+
D
A
A+
NZ
New Zealand
A
A+
D
A
A+
LU
Luxembourg
A
A+
D
B
A
AD
Andorra
A
A+
D
B
A+
AT
Austria
A
A+
D
B
A+
CH
Switzerland
A
A+
D
B
A+
CZ
Czech Republic
A
A+
D
B
A+
EE
Estonia
A
A+
D
B
A+
GG
Guernsey
A
A+
D
B
A+
GR
Greece
A
A+
D
B
A+
HU
Hungary
A
A+
D
B
A+
IS
Iceland
A
A+
D
B
A+
LV
Latvia
A
A+
D
B
A+
PL
Poland
A
A+
D
B
A+
SK
Slovakia
A
A+
D
B
A+
SM
San Marino
A
A+
D
B
A+
HR
Croatia
A
A+
D
C
A+
PT
Portugal
A
A+
D
C
A+
SI
Slovenia
A
A+
D
C
A+
AR
Argentina
A
B
A+
C
A+
CL
Chile
A
B
A+
C
A+
MT
Malta
B
A+
D
A
D
DK
Denmark
B
A+
D
B
B
IE
Ireland
B
A+
D
C
A+
ME
Montenegro
B
A+
D
C
A+
IM
Isle of Man
B
A+
D
D
A+
JE
Jersey
B
A+
D
D
A+
CO
Colombia
B
B
B
C
A
BR
Brazil
B
B
B
C
A+
MX
Mexico
B
B
C
C
A
RO
Romania
B
B
D
B
A+
BB
Barbados
B
B
D
C
A+
CR
Costa Rica
B
B
D
C
A+
ZA
South Africa
B
B
D
C
A+
UA
Ukraine
B
C
D
B
A+
CA
Canada
A+
A+
HYUNDAI
Automobile Dealers
JEEP
Automobile Dealers
KIA
Automobile Dealers
NISSAN
Automobile Dealers
RAM
Automobile Dealers
TESLA
Automobile Dealers
TOYOTA
Automotive Equipment Rental and Leasing
AVIS
Automotive Parts, Accessories, and Tire Retailers
ADVANCE AUTO PARTS
Automotive Parts, Accessories, and Tire Retailers
NAPA AUTO PARTS
Automotive Parts, Accessories, and Tire Retailers
O'REILLY AUTO PARTS
Building Material and Supplies Dealers
HOME DEPOT
Building Material and Supplies Dealers
LOWE'S
Building Material and Supplies Dealers
SHERWIN-WILLIAMS
Building Material and Supplies Dealers
TRUE VALUE
Civic and Social Organizations
SALVATION ARMY
Clothing and Clothing Accessories Retailers
ADIDAS
Clothing and Clothing Accessories Retailers
BURBERRY
Clothing and Clothing Accessories Retailers
CHANEL
Clothing and Clothing Accessories Retailers
DIOR
Clothing and Clothing Accessories Retailers
FENDI
Clothing and Clothing Accessories Retailers
GAP
Clothing and Clothing Accessories Retailers
GUCCI
Clothing and Clothing Accessories Retailers
H&M
Clothing and Clothing Accessories Retailers
HERMES
Clothing and Clothing Accessories Retailers
LOUIS VUITTON
Clothing and Clothing Accessories Retailers
OLD NAVY
Clothing and Clothing Accessories Retailers
PRADA
Clothing and Clothing Accessories Retailers
ROSS DRESS FOR LESS
Clothing and Clothing Accessories Retailers
SAINT LAURENT
Clothing and Clothing Accessories Retailers
SUNGLASS HUT
Clothing and Clothing Accessories Retailers
VERSACE
Clothing and Clothing Accessories Retailers
ZARA
Couriers and Express Delivery Services
FEDEX
Couriers and Express Delivery Services
THE UPS STORE
Couriers and Express Delivery Services
UPS
Department Stores
MACY'S
Department Stores
TJ MAXX
Department Stores
WALMART
Depository Credit Intermediation
CHASE BANK
Depository Credit Intermediation
KEYBANK
Depository Credit Intermediation
TRUIST BANK
Depository Credit Intermediation
U.S. BANK
Depository Credit Intermediation
WELLS FARGO
Electronics and Appliance Retailers
BEST BUY
Electronics and Appliance Retailers
METRO BY T-MOBILE
Furniture and Home Furnishings Retailers
MATTRESS FIRM
Gasoline Stations
76
Gasoline Stations
BP
Gasoline Stations
CHEVRON WITH TECHRON
Gasoline Stations
PHILLIPS 66
Gasoline Stations
SHELL
Gasoline Stations
SPEEDWAY
Gasoline Stations
SUNOCO
Grocery and Convenience Retailers
7-ELEVEN
Grocery and Convenience Retailers
ALBERTSONS
Grocery and Convenience Retailers
ALDI
Grocery and Convenience Retailers
CASEY'S GENERAL STORE
Grocery and Convenience Retailers
CIRCLE K
Grocery and Convenience Retailers
COSTCO
Grocery and Convenience Retailers
H-E-B
Grocery and Convenience Retailers
KROGER
Grocery and Convenience Retailers
PUBLIX
Health and Personal Care Retailers
GNC
Health and Personal Care Retailers
RITE AID
Health and Personal Care Retailers
SALLY BEAUTY
Health and Personal Care Retailers
ULTA BEAUTY
Health and Personal Care Retailers
VISION SOURCE
Health and Personal Care Retailers
WALGREENS
Lessors of Real Estate
PUBLIC STORAGE
Management, Scientific, and Technical Consulting Services
EDWARD JONES
Office Supplies, Stationery, and Gift Retailers
HALLMARK
Office Supplies, Stationery, and Gift Retailers
PARTY CITY
Office Supplies, Stationery, and Gift Retailers
STAPLES
Offices of Real Estate Agents and Brokers
CENTURY 21
Offices of Real Estate Agents and Brokers
RE/MAX
Other Amusement and Recreation Industries
PLANET FITNESS
Other Financial Investment Activities
RAYMOND JAMES
Other Miscellaneous Retailers
PETCO
Other Miscellaneous Retailers
PETSMART
Outpatient Care Centers
DAVITA
Personal Care Services
GREAT CLIPS
Personal Care Services
SUPERCUTS
Petroleum and Coal Products Manufacturing
VALERO
Restaurants and Other Eating Places
APPLEBEE'S
Restaurants and Other Eating Places
ARBY'S
Restaurants and Other Eating Places
BASKIN ROBBINS
Restaurants and Other Eating Places
BURGER KING
Restaurants and Other Eating Places
CHICK-FIL-A
Restaurants and Other Eating Places
CHIPOTLE
Restaurants and Other Eating Places
DAIRY QUEEN
Restaurants and Other Eating Places
DOMINO'S
Restaurants and Other Eating Places
DUNKIN'
Restaurants and Other Eating Places
FIVE GUYS
Restaurants and Other Eating Places
HARDEE'S
Restaurants and Other Eating Places
IHOP
Restaurants and Other Eating Places
JACK IN THE BOX
Restaurants and Other Eating Places
JIMMY JOHN'S
Restaurants and Other Eating Places
KFC
Restaurants and Other Eating Places
MCDONALD'S
Restaurants and Other Eating Places
PANDA EXPRESS
Restaurants and Other Eating Places
PANERA BREAD
Restaurants and Other Eating Places
PAPA JOHN'S
Restaurants and Other Eating Places
PIZZA HUT
Restaurants and Other Eating Places
POPEYES
Restaurants and Other Eating Places
SONIC DRIVE-IN
Restaurants and Other Eating Places
STARBUCKS
Restaurants and Other Eating Places
SUBWAY
Restaurants and Other Eating Places
TACO BELL
Restaurants and Other Eating Places
WAFFLE HOUSE
Restaurants and Other Eating Places
WENDY'S
Specialized Freight Trucking
U-HAUL
Sporting Goods, Hobby, and Musical Instrument Retailers
JD SPORTS
Sporting Goods, Hobby, and Musical Instrument Retailers
NIKE
Traveler Accommodation
BEST WESTERN
Traveler Accommodation
DOUBLETREE BY HILTON
Traveler Accommodation
GRAND HYATT
Traveler Accommodation
HILTON HOTELS AND RESORTS
Traveler Accommodation
HYATT
Traveler Accommodation
HYATT REGENCY
Traveler Accommodation
MARRIOTT HOTELS
Traveler Accommodation
RADISSON
Traveler Accommodation
SHERATON
Traveler Accommodation
THE RITZ-CARLTON
Used Merchandise Retailers
GOODWILL
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
DOLLAR GENERAL
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
DOLLAR TREE
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
KOHL'S
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
SAM'S CLUB
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
TARGET
Wired and Wireless Telecommunications (except Satellite)
AT&T
Wired and Wireless Telecommunications (except Satellite)
CRICKET WIRELESS
Accounting, Tax Preparation, Bookkeeping, and Payroll Services
H&R BLOCK
Activities Related to Credit Intermediation
WESTERN UNION
Automobile Dealers
CHEVROLET
Automobile Dealers
FORD
Automobile Dealers
HONDA
Automobile Dealers
Agencies, Brokerages, and Other Insurance Related Activities
GENERALI
Automobile Dealers
CITROEN
Automobile Dealers
DACIA
Automobile Dealers
HYUNDAI
Automobile Dealers
KIA
Automobile Dealers
MERCEDES-BENZ
Automobile Dealers
PEUGEOT
Automobile Dealers
RENAULT
Automobile Dealers
SEAT
Automobile Dealers
SKODA
Automobile Dealers
TOYOTA
Automobile Dealers
VOLKSWAGEN
Automotive Parts, Accessories, and Tire Retailers
VULCO
Automotive Repair and Maintenance
CONFORT AUTO
Automotive Repair and Maintenance
EURO REPAR CAR SERVICE
Automotive Repair and Maintenance
EUROMASTER
Automotive Repair and Maintenance
FIRST STOP
Automotive Repair and Maintenance
GLASSDRIVE
Automotive Repair and Maintenance
RALARSA
Building Material and Supplies Dealers
BIGMAT
Building Material and Supplies Dealers
EURONICS
Clothing and Clothing Accessories Retailers
BERSHKA
Clothing and Clothing Accessories Retailers
BIJOU BRIGITTE
Clothing and Clothing Accessories Retailers
BIMBA Y LOLA
Clothing and Clothing Accessories Retailers
BURBERRY
Clothing and Clothing Accessories Retailers
CALZEDONIA
Clothing and Clothing Accessories Retailers
CHANEL
Clothing and Clothing Accessories Retailers
CORTEFIEL
Clothing and Clothing Accessories Retailers
DECIMAS
Clothing and Clothing Accessories Retailers
DIOR
Clothing and Clothing Accessories Retailers
FENDI
Clothing and Clothing Accessories Retailers
GUCCI
Clothing and Clothing Accessories Retailers
H&M
Clothing and Clothing Accessories Retailers
HERMES
Clothing and Clothing Accessories Retailers
INSIDE
Clothing and Clothing Accessories Retailers
LOUIS VUITTON
Clothing and Clothing Accessories Retailers
MANGO
Clothing and Clothing Accessories Retailers
MASSIMO DUTTI
Clothing and Clothing Accessories Retailers
OYSHO
Clothing and Clothing Accessories Retailers
PARFOIS
Clothing and Clothing Accessories Retailers
PRADA
Clothing and Clothing Accessories Retailers
PULL AND BEAR
Clothing and Clothing Accessories Retailers
SAINT LAURENT
Clothing and Clothing Accessories Retailers
SPRINGFIELD
Clothing and Clothing Accessories Retailers
STRADIVARIUS
Clothing and Clothing Accessories Retailers
UNITED COLORS OF BENETTON
Clothing and Clothing Accessories Retailers
VERSACE
Clothing and Clothing Accessories Retailers
WOMEN'S SECRET
Clothing and Clothing Accessories Retailers
ZARA
Couriers and Express Delivery Services
CORREOS
Couriers and Express Delivery Services
DHL EXPRESS
Couriers and Express Delivery Services
MRW
Couriers and Express Delivery Services
UPS
Department Stores
EL CORTE INGLES
Depository Credit Intermediation
ABANCA
Depository Credit Intermediation
BANKINTER
Depository Credit Intermediation
CAJAMAR
Depository Credit Intermediation
CAJASUR
Depository Credit Intermediation
EUROCAJA RURAL
Depository Credit Intermediation
GLOBALCAJA
Depository Credit Intermediation
IBERCAJA BANCO
Depository Credit Intermediation
UNICAJA BANK
Electric Power Generation, Transmission and Distribution
IBERDROLA
Electronics and Appliance Retailers
APP INFORMATICA
Electronics and Appliance Retailers
BEEP
Electronics and Appliance Retailers
EXPERT
Electronics and Appliance Retailers
MILAR
Electronics and Appliance Retailers
PHONE HOUSE
Electronics and Appliance Retailers
TIEN21
Employment Services
ADECCO
Gasoline Stations
BP
Gasoline Stations
CEPSA
Gasoline Stations
GALP
Gasoline Stations
REPSOL
Grocery and Convenience Retailers
AHORRAMAS
Grocery and Convenience Retailers
ALCAMPO
Grocery and Convenience Retailers
BONAREA
Grocery and Convenience Retailers
CAPRABO
Grocery and Convenience Retailers
CARREFOUR
Grocery and Convenience Retailers
CARREFOUR EXPRESS
Grocery and Convenience Retailers
CONDIS
Grocery and Convenience Retailers
CONSUM
Grocery and Convenience Retailers
COVIRAN
Grocery and Convenience Retailers
DIA
Grocery and Convenience Retailers
EROSKI
Grocery and Convenience Retailers
FROIZ
Grocery and Convenience Retailers
GADIS
Grocery and Convenience Retailers
LA SIRENA
Grocery and Convenience Retailers
LIDL
Grocery and Convenience Retailers
MASYMAS
Grocery and Convenience Retailers
MERCADONA
Grocery and Convenience Retailers
SPAR
Grocery and Convenience Retailers
UDACO
Health and Personal Care Retailers
ALAINAFFLELOU
Health and Personal Care Retailers
CLAREL
Health and Personal Care Retailers
DRUNI
Health and Personal Care Retailers
GAES
Health and Personal Care Retailers
GENERAL OPTICA
Jewelry, Luggage, and Leather Goods Retailers
TOUS
Offices of Real Estate Agents and Brokers
RE/MAX
Offices of Real Estate Agents and Brokers
TECNOCASA
Other Motor Vehicle Dealers
YAMAHA
Restaurants and Other Eating Places
100 MONTADITOS
Restaurants and Other Eating Places
BURGER KING
Restaurants and Other Eating Places
DOMINO'S
Restaurants and Other Eating Places
FOSTER'S HOLLYWOOD
Restaurants and Other Eating Places
KFC
Restaurants and Other Eating Places
LA TAGLIATELLA
Restaurants and Other Eating Places
MCDONALD'S
Restaurants and Other Eating Places
PANS & COMPANY
Restaurants and Other Eating Places
PIZZA HUT
Restaurants and Other Eating Places
RODILLA
Restaurants and Other Eating Places
STARBUCKS
Restaurants and Other Eating Places
TELEPIZZA
Restaurants and Other Eating Places
VIPS
Shoe Retailers
MERKAL CALZADOS
Specialty Food Retailers
BELROS
Specialty Food Retailers
GRANIER
Sporting Goods, Hobby, and Musical Instrument Retailers
DECATHLON
Sporting Goods, Hobby, and Musical Instrument Retailers
JUGUETTOS
Sporting Goods, Hobby, and Musical Instrument Retailers
TOY PLANET
Travel Arrangement and Reservation Services
B THE TRAVEL BRAND
Travel Arrangement and Reservation Services
HALCON VIAJES
Travel Arrangement and Reservation Services
NAUTALIA
Travel Arrangement and Reservation Services
VIAJES EL CORTE INGLES
Travel Arrangement and Reservation Services
ZAFIRO TOURS
Traveler Accommodation
AC HOTELS BY MARRIOTT
Traveler Accommodation
CATALONIA
Traveler Accommodation
EUROSTARS HOTELS
Traveler Accommodation
HILTON
Traveler Accommodation
HOLIDAY INN
Traveler Accommodation
IBIS
Traveler Accommodation
IBIS BUDGET
Traveler Accommodation
MELIA HOTELS
Traveler Accommodation
NH HOTELS
Traveler Accommodation
NOVOTEL
Wired and Wireless Telecommunications (except Satellite)
MOVISTAR
Wired and Wireless Telecommunications (except Satellite)
ORANGE
Wired and Wireless Telecommunications (except Satellite)
VODAFONE
Wired and Wireless Telecommunications (except Satellite)
YOIGO
BMW
Automobile Dealers
CITROEN
Automobile Dealers
DACIA
Automobile Dealers
FIAT
Automobile Dealers
FORD
Automobile Dealers
HYUNDAI
Automobile Dealers
JEEP
Automobile Dealers
OPEL
Automobile Dealers
PEUGEOT
Automobile Dealers
RENAULT
Automobile Dealers
SKODA
Automobile Dealers
TOYOTA
Automobile Dealers
VOLKSWAGEN
Automotive Equipment Rental and Leasing
BUDGET
Automotive Equipment Rental and Leasing
EUROPCAR
Automotive Equipment Rental and Leasing
HERTZ
Automotive Repair and Maintenance
EUROMASTER
Book Retailers and News Dealers
GIUNTI AL PUNTO
Book Retailers and News Dealers
MONDADORI
Building Material and Supplies Dealers
BRICO IO
Building Material and Supplies Dealers
EURONICS
Building Material and Supplies Dealers
KASANOVA
Clothing and Clothing Accessories Retailers
BERSHKA
Clothing and Clothing Accessories Retailers
BURBERRY
Clothing and Clothing Accessories Retailers
CALZEDONIA
Clothing and Clothing Accessories Retailers
CHANEL
Clothing and Clothing Accessories Retailers
CONBIPEL
Clothing and Clothing Accessories Retailers
DIESEL
Clothing and Clothing Accessories Retailers
DIOR
Clothing and Clothing Accessories Retailers
FENDI
Clothing and Clothing Accessories Retailers
GUCCI
Clothing and Clothing Accessories Retailers
H&M
Clothing and Clothing Accessories Retailers
HERMES
Clothing and Clothing Accessories Retailers
LOUIS VUITTON
Clothing and Clothing Accessories Retailers
MAX MARA
Clothing and Clothing Accessories Retailers
MOTIVI
Clothing and Clothing Accessories Retailers
NKD
Clothing and Clothing Accessories Retailers
OVS INDUSTRY
Clothing and Clothing Accessories Retailers
PRADA
Clothing and Clothing Accessories Retailers
SAINT LAURENT
Clothing and Clothing Accessories Retailers
TERRANOVA
Clothing and Clothing Accessories Retailers
TEZENIS
Clothing and Clothing Accessories Retailers
UNITED COLORS OF BENETTON
Clothing and Clothing Accessories Retailers
VERSACE
Clothing and Clothing Accessories Retailers
YAMAMAY
Clothing and Clothing Accessories Retailers
ZARA
Couriers and Express Delivery Services
FEDEX
Couriers and Express Delivery Services
TNT
Couriers and Express Delivery Services
UPS
Depository Credit Intermediation
BANCA POPOLARE DI SONDRIO
Depository Credit Intermediation
BANCA SELLA
Depository Credit Intermediation
BANCO BPM
Depository Credit Intermediation
BANCO DI SARDEGNA
Depository Credit Intermediation
BPER BANCA
Depository Credit Intermediation
CREDITO EMILIANO
Depository Credit Intermediation
DEUTSCHE BANK
Depository Credit Intermediation
FINECO
Depository Credit Intermediation
UNICREDIT
Depository Credit Intermediation
VOLKSBANK
Drinking Places (Alcoholic Beverages)
CHEF EXPRESS
Electric Power Generation, Transmission and Distribution
A2A
Electric Power Generation, Transmission and Distribution
ENEL ENERGIA
Electronics and Appliance Retailers
EXPERT
Electronics and Appliance Retailers
GAMESTOP
Electronics and Appliance Retailers
TRONY
Electronics and Appliance Retailers
UNIEURO
Employment Services
ADECCO
Gasoline Stations
AS24
Gasoline Stations
ENI
Gasoline Stations
ESSO
Gasoline Stations
GRUPPO API
Gasoline Stations
Q8 EASY
Gasoline Stations
TAMOIL
Grocery and Convenience Retailers
A&O
Grocery and Convenience Retailers
ALDI
Grocery and Convenience Retailers
CARREFOUR
Grocery and Convenience Retailers
CARREFOUR EXPRESS
Grocery and Convenience Retailers
CONAD
Grocery and Convenience Retailers
COOP CENTRO ITALIA
Grocery and Convenience Retailers
CRAI
Grocery and Convenience Retailers
DESPAR
Grocery and Convenience Retailers
DOK
Grocery and Convenience Retailers
ESSELUNGA
Grocery and Convenience Retailers
FAMILA
Grocery and Convenience Retailers
IN'S MERCATO
Grocery and Convenience Retailers
LIDL
Grocery and Convenience Retailers
MD DISCOUNT
Grocery and Convenience Retailers
NATURASI
Grocery and Convenience Retailers
PAM PANORAMA
Grocery and Convenience Retailers
SIGMA
Grocery and Convenience Retailers
TIGRE
Grocery and Convenience Retailers
TODIS
Grocery and Convenience Retailers
U2 SUPERMERCATO
Health and Personal Care Retailers
AMPLIFON
Health and Personal Care Retailers
BOTTEGA VERDE
Health and Personal Care Retailers
DOUGLAS
Health and Personal Care Retailers
KIKO MILANO
Health and Personal Care Retailers
TIGOTA
Jewelry, Luggage, and Leather Goods Retailers
STROILI ORO
Office Supplies, Stationery, and Gift Retailers
PRINK
Offices of Real Estate Agents and Brokers
RE/MAX
Offices of Real Estate Agents and Brokers
TECNOCASA
Other Miscellaneous Retailers
ARCAPLANET
Other Motor Vehicle Dealers
YAMAHA
Personal Care Services
JEAN LOUIS DAVID
Postal Service
POSTE ITALIANE
Restaurants and Other Eating Places
ALICE PIZZA
Restaurants and Other Eating Places
AUTOGRILL
Restaurants and Other Eating Places
BURGER KING
Restaurants and Other Eating Places
KFC
Restaurants and Other Eating Places
LA PIADINERIA
Restaurants and Other Eating Places
MCCAFE
Restaurants and Other Eating Places
MCDONALD'S
Restaurants and Other Eating Places
OBICA MOZZARELLA BAR
Restaurants and Other Eating Places
PIZZERIA SPONTINI
Restaurants and Other Eating Places
ROSSOPOMODORO
Shoe Retailers
FOOT LOCKER
Shoe Retailers
GEOX
Special Food Services
CIGIERRE
Special Food Services
COMPASS
Specialty Food Retailers
PRINCI
Sporting Goods, Hobby, and Musical Instrument Retailers
DECATHLON
Traveler Accommodation
B&B HOTEL
Traveler Accommodation
BEST WESTERN
Traveler Accommodation
HILTON HOTELS AND RESORTS
Traveler Accommodation
IBIS STYLES
Traveler Accommodation
MERCURE
Traveler Accommodation
NH HOTELS
Traveler Accommodation
NOVOTEL
Traveler Accommodation
SHERATON
Traveler Accommodation
STARHOTELS
Traveler Accommodation
UNA HOTELS
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
DPIU
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
EUROSPIN
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
PENNY
Warehouse Clubs, Supercenters, and Other General Merchandise Retailers
PRENATAL
Wired and Wireless Telecommunications (except Satellite)
VODAFONE
Activities Related to Credit Intermediation
FINDOMESTIC BANCA
Agencies, Brokerages, and Other Insurance Related Activities
ALLIANZ
Agencies, Brokerages, and Other Insurance Related Activities
AXA
Agencies, Brokerages, and Other Insurance Related Activities
GENERALI
Automobile Dealers
AUDI
Automobile Dealers
Below, you'll find the wording for each of our existing interest segments.
Automotive
Automotive Shoppers
Postal codes whose residents visit car dealerships, motorcycle dealers, auto repair shops, wheel stores, car repair shops, etc
Car Renters
Postal codes whose residents visit car rental services and companies
Electric Vehicle Owners
Postal codes whose residents visit electric vehicle charging stations
Gas Station Visitors
Postal codes whose residents visit petrol pumps, gas stations, alternative fuel stations, etc
Motorcycle Owners
Postal codes whose residents visit motor vehicle dealers, repair shops, insurance agencies, etc
Community
Community And Social Participants
Postal codes whose residents visit volunteer organizations, community centers, charity, etc
Educational Institution Visitors
Postal codes whose residents visit schools, colleges, kindergartens, etc
Nature And Adventure Enthusiasts
Postal codes whose residents visit parks, beaches, lakes, cycling parks, wildlife parks, etc
Fashion and Retail
Books And Literature Enthusiasts
Postal codes whose residents visit book stores, magazine stores, newsstands, etc
Children Clothing Shoppers
Postal codes whose residents visit children clothing stores and related locations
Department Store Shoppers
Postal codes whose residents frequently visit department stores
Fashion Enthusiasts
Postal codes whose residents visit couture stores, bag stores, designer clothing shops, etc
Footwear Shoppers
Postal codes whose residents visit shoe and boot stores
Formal Wear Shoppers
Postal codes whose residents visit bridal shops, tuxedo shops, kimono stores, etc
Jewelry Shoppers
Postal codes whose residents visit jewelry shops, jewelry designers, jewelers, etc
Leather Goods Aficionados
Postal codes whose residents visit leather goods stores, repair services, wholesalers, etc
Regular Clothing Shoppers
Postal codes whose residents visit clothing stores, jeans shops, swimwear stores, etc
Second Hand Buyers
Postal codes whose residents visit second hand stores, antique stores, flea markets, etc
Sunglasses Shoppers
Postal codes whose residents visit sunglasses shops and stores
Tech And Electronics Shoppers
Postal codes whose residents visit cell phone stores, electronics stores, home audio stores, etc
Watch Aficionados
Postal codes whose residents visit watch stores, repair services, manufacturers, etc
Food and Beverage
Alcoholic Beverage Shoppers
Postal codes whose residents visit wine stores, liquor stores, beer stores, etc
Bagel Lovers
Postal codes whose residents visit bagel shops
Baked Goods And Confectionery Shoppers
Postal codes whose residents visit bakeries, confectionaries, cake shops, etc
Beverage Place Visitors
Postal codes whose residents visit coffee shops, juice shops, tea houses, etc
Bubble Tea Enthusiasts
Postal codes whose residents visit bubble tea stores
Chinese Food Lovers
Postal codes whose residents visit Chinese restaurants, bakeries, tea houses, etc
Chocolate Connoisseurs
Postal codes whose residents visit chocolate shops, cafes, factories, etc
Coffee Aficionados
Postal codes whose residents frequently visit eateries serving coffees and related items
Fast Food And Takeaway Shoppers
Postal codes whose residents visit takeout restaurants, pizza deliveries, sushi takeaways, etc
Grocery Shoppers
Postal codes whose residents visit supermarkets, hypermarkets, convenience stores, etc
Indian Food Lovers
Postal codes whose residents visit Indian restaurants, takeaways, sweet shops, etc
Italian Food Lovers
Postal codes whose residents visit Italian restaurants, pizza shops, pasta shops, etc
Japanese Food Lovers
Postal codes whose residents visit Japanese restaurants, steakhouses, sushi restaurants, etc
Meat and Charcuterie Shoppers
Postal codes whose residents visit butcher shops, meat product stores, poultry stores, etc
Mexican Food Lovers
Postal codes whose residents visit Mexican restaurants, takeaways, etc
Pizza Lovers
Postal codes whose residents visit pizza shops, takeaways, etc
Restaurant Goers
Postal codes whose residents visit restaurants, food courts, steak houses, etc
Seafood Lovers
Postal codes whose residents visit seafood markets, restaurants, stores, etc
Snack Bar Goers
Postal codes whose residents visit snack bars, ice cream shops, pretzel stores, etc
Specialty Food Shoppers
Postal codes whose residents visit organic food stores, baking supply stores, produce markets, etc
Home and Decor
Building Material And Home Improvement Shoppers
Postal codes whose residents visit building material stores, hardware stores, lumber stores, etc
Flooring Solutions Seekers
Postal codes whose residents visit flooring stores, contractors, installation services, etc
Flower Shop Visitors
Postal codes whose residents visit florists, flower markets, flower designers, etc
Furniture And Home Furnishing Shoppers
Postal codes whose residents visit furniture stores, bedding stores, carpet stores, etc
Gift And Handicraft Shoppers
Postal codes whose residents visit gift shops, souvenir shops, novelty stores, etc
Interior Decoration Seekers
Postal codes whose residents visit interior decorators, designers, fitting contractors, etc
Lawn Care Service Seekers
Postal codes whose residents visit lawn mower stores, equipment rental services, etc
Pest Control Service Seekers
Postal codes whose residents visit pest control service providers and related locations
Pet Owners
Postal codes whose residents visit dog parks, pet cafes, veterinary care, etc
Roofing Service Seekers
Postal codes whose residents visit roofing contractors, supply stores, etc
Stationery Shoppers
Postal codes whose residents visit stationery stores, office supply stores, scrapbooking stores, etc
Textile Shoppers
Postal codes whose residents visit fabric stores, textile merchants, embroidery shops, etc
Personal Care
Beauty and Fragrance Shoppers
Postal codes whose residents visit cosmetics stores, perfume stores, beauty product suppliers, etc
Hair Removal Service Seekers
Postal codes whose residents visit service shops for waxing, laser hair removal, etc
Health And Wellness Shoppers
Postal codes whose residents visit sports nutrition stores, pharmacies, herb shops, etc
Nail Art Aficionados
Postal codes whose residents visit nail salons and related services
Self Care Service Shoppers
Postal codes whose residents visit beauty salons, hair spas, tattoo artists, etc
Smoke And Vape Shoppers
Postal codes whose residents visit tobacco shops, vaporizer stores, hookah shops, etc
Spa Treatment Seekers
Postal codes whose residents visit day spas, fish spas, spa health clubs, etc
Sports And Fitness Enthusiasts
Postal codes whose residents visit sports clubs, sports complexes, sports stores, etc
Tattoo Enthusiasts
Postal codes whose residents visit tattoo shops, artists, removal services, etc
Services
Currency Exchange Seekers
Postal codes whose residents visit currency exchange shops
Day Care Service Seekers
Postal codes whose residents visit child or adult day care centers
Drycleaning And Laundry Services Users
Postal codes whose residents visit dry cleaners, laundromats, laundry services, etc
Electronics Repair Service Seekers
Postal codes whose residents visit electric repair shops, computer service, mobile phone repair shops, etc
Employment Seekers
Post codes whose resident frequently seek recruiter related services
Event Planning Service Seekers
Postal codes whose residents visit event management companies, planners, etc
Financial Services Seekers
Postal codes whose residents frequently seek financial services
Insurance Service Seekers
Postal codes whose residents visit insurance agencies, brokers, attorneys, etc
Investment Advice Seekers
Postal codes whose residents visit locations related to investment service and related activities
Laundry Service Seekers
Postal codes whose residents visit laundromats and related locations
Legal Service Seekers
Postal codes whose residents visit law firms, lawyers, attorneys, etc
Money Transfer Service Seekers
Postal codes whose residents visit money transfer service shops and related locations
Phone Repair & Accessories Seekers
Postal codes whose residents visit mobile phone repair shops and accessories stores
Real Estate Consultancy Seekers
Postal codes whose residents visit real estate agencies, consultants, attorneys, etc
Tax Consultancy Seekers
Postal codes whose residents visit tax consultants
Sports and Fitness
Badminton Enthusiasts
Postal codes whose residents visit badminton courts and clubs
Basketball Enthusiasts
Postal codes whose residents visit basketball courts and clubs
Board Game Enthusiasts
Postal codes whose residents visit board game clubs, chess clubs, etc
Boxing Enthusiasts
Postal codes whose residents visit boxing clubs, gyms, kickboxing schools and Muay Thai gyms
Cricket Enthusiasts
Postal codes whose residents visit cricket fields, clubs, shops, etc
Fencing Enthusiasts
Postal codes whose residents visit fencing salons and schools
Fishing Enthusiasts
Postal codes whose residents visit fishing stores, areas and clubs
Football Enthusiasts
Postal codes whose resident practice Football or participate in Football-related activities
Golf Enthusiasts
Postal codes whose residents visit golf clubs, courses, shops, etc
Gym Goers
Postal codes whose residents visit gyms and fitness centers
Gymnastics Enthusiasts
Postal codes whose residents visit gymnastics centers, academies and clubs
Hiking Enthusiasts
Postal codes whose residents visit hiking areas and clubs
Hockey Enthusiasts
Postal codes whose residents visit hockey fields, clubs, supply stores, etc
Horse Riding Enthusiasts
Postal codes whose residents visit horse riding fields, equestrian clubs and stores
Kickboxing Enthusiasts
Postal codes whose residents visit kickboxing schools
Martial Arts Enthusiasts
Postal codes whose residents visit martial arts schools, clubs and supply stores
Muay Thai Enthusiasts
Postal codes whose residents visit Muay Thai boxing gyms
Padel Enthusiasts
Postal codes whose residents visit padel courts and clubs
Pilates Enthusiasts
Postal codes whose residents visit Pilates studios
Rock Climbing Enthusiasts
Postal codes whose residents visit rock climbing clubs and instructors
Roller Skating Enthusiasts
Postal codes whose residents visit roller skating rinks and clubs
Squash Enthusiasts
Postal codes whose residents visit squash courts and clubs
Surfing Enthusiasts
Postal codes whose residents visit surfing schools and shops
Swimming Enthusiasts
Postal codes whose residents visit swimming pools, clubs, schools, etc
Table Tennis Enthusiasts
Postal codes whose residents visit table tennis clubs and supply stores
Tennis Enthusiasts
Postal codes whose residents visit tennis courts, clubs, and stores
Volleyball Enthusiasts
Postal codes whose residents visit volleyball and beach volleyball courts and clubs
Yoga Enthusiasts
Postal codes whose residents visit yoga studios and retreat centers
Travel and Entertainment
Air Travelers
Postal codes whose residents visit airports, passport offices, visa consultants, etc
Amusement Park Goers
Postal codes whose residents visit water parks, parkour spots, ice skating rinks, amusement parks, holiday parks, etc
Arts And Performance Students
Postal codes whose residents visit music schools, dance schools, photography schools, etc
Bus Travellers
Postal codes whose resident frequently travel by bus and use train-related services
Casino and Gambling Hobbyists
Postal codes whose residents visit casinos, betting shops, gambling houses, etc
Cultural Sites And Art Event Goers
Postal codes whose residents visit art galleries, museums, cultural landmarks, castles, etc
Entertainment Professionals
Postal codes whose residents visit modeling agencies, event management companies, event venues, etc
Movie Goers
Postal codes whose residents visit movie theaters, outdoor movie theaters, drive-in movie theaters, etc
Movie Renters
Postal codes whose residents visit movie rental stores or kiosks
Museum Visitors
Postal codes whose residents visit museums such as art, history, science, etc
Music Enthusiasts
Postal codes whose residents visit live music venues, musical clubs, music stores, etc
Musicians
Postal codes whose residents visit guitar stores, violin shops, piano stores, etc
Nightlife And Club Attendees
Postal codes whose residents visit bars, pubs, nightclubs, karaoke bars, adult entertainment clubs, irish pubs, etc
Performing Arts Spectators
Postal codes whose residents visit orchestras, performing arts theatres, choirs, etc
Photography Students
Postal codes whose residents visit photography schools and related institutions
Train Travelers
Postal codes whose residents visit train stations, train ticket offices, train ticket agencies, etc
Travel Accommodation Lodgers
Postal codes whose residents visit guest houses, hotels, inns, resorts, holiday apartments, motels, etc
Travel Consultant Seekers
Postal codes whose residents visit travel agencies, train/airplane ticket agencies, etc
Video Gamers
Postal codes whose residents visit video arcades, video game stores, game stores, etc
