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Echo Analytics | GeoPersona Brand Segments | Europe | Segmentation ...
Echo Analytics | GeoPersona Brand Segments | Europe | Segmentation Data | Ava...
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Echo Analytics | GeoPersona Brand Segments | Europe | Segmentation Data | Available Globally | GDPR-Compliant product image in hero

Echo Analytics | GeoPersona Brand Segments | Europe | Segmentation Data | Available Globally | GDPR-Compliant

Echo Analytics
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Contact Provider Save for later
Data Samples
Activity_ GeoPersona Segments- Brands - FR - PARIS.csv
#
postal_code
postal_code_name
region_name
country_code
brand_name
affinity_index_regional
affinity_index_national
quarter_range_start
quarter_range_end
population
households
purchasing_power_per_capita_in_euros
purchasing_power_per_household_in_euros
pop_age_0_to_5_years
pop_0_to_5_years_male
pop_0_to_5_years_female
pop_age_5_to_10_years
pop_5_to_10_years_male
pop_5_to_10_years_female
pop_age_10_to_15_years
pop_10_to_15_years_male
pop_10_to_15_years_female
pop_age_15_to_20_years
pop_15_to_20_years_male
pop_15_to_20_years_female
pop_age_20_to_25_years
pop_20_to_25_years_male
pop_20_to_25_years_female
pop_age_25_to_30_years
pop_25_to_30_years_male
pop_25_to_30_years_female
pop_age_30_to_35_years
pop_30_to_35_years_male
pop_30_to_35_years_female
pop_age_35_to_40_years
pop_35_to_40_years_male
pop_35_to_40_years_female
pop_age_40_to_45_years
pop_40_to_45_years_male
pop_40_to_45_years_female
pop_age_45_to_50_years
pop_45_to_50_years_male
pop_45_to_50_years_female
pop_age_50_to_55_years
pop_50_to_55_years_male
pop_50_to_55_years_female
pop_age_55_to_60_years
pop_55_to_60_years_male
pop_55_to_60_years_female
pop_age_60_to_65_years
pop_60_to_65_years_male
pop_60_to_65_years_female
pop_age_65_to_70_years
pop_65_to_70_years_male
pop_65_to_70_years_female
pop_age_70_to_75_years
pop_70_to_75_years_male
pop_70_to_75_years_female
pop_age_75_years_and_older
pop_75_years_and_older_male
pop_75_years_and_older_female
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx
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4 xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxx xxxxx Xxxxxx xxxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxxx Xxxxx Xxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx xxxxxxxxxx xxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx Xxxxx xxxxxxx xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxxxx Xxxxxxxx xxxxx xxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxxx xxxxxxx Xxxxx xxxxxxxxx xxxxxxxx Xxxxxxxx
5 xxxxxxxx Xxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxx Xxxxx Xxxxx Xxxxx Xxxxxxx xxxxx xxxxxxxxx xxxxxxx Xxxxxxx xxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxx Xxxxx xxxxxxx Xxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxx Xxxxxxx xxxxxxxx xxxxx Xxxxx Xxxxxxxx xxxxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxx Xxxxxxx Xxxxxxx xxxxxxx Xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxxxx
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7 Xxxxxxxx xxxxxxx xxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxx Xxxxxxx xxxxxxxxxx Xxxxxxx Xxxxxxxxxx xxxxx xxxxxxx xxxxxxxxx xxxxxxxxx xxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxxxxx Xxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx Xxxxxxxx Xxxxxxxx Xxxxxxx xxxxxx xxxxx xxxxx Xxxxxxxxx xxxxx Xxxxx Xxxxxx xxxxxxxxxx Xxxxxxxx Xxxxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx Xxxxxxx Xxxxxxx Xxxxxx Xxxxxx xxxxxxxx Xxxxxxxxx Xxxxx Xxxxxxx
8 xxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxxxx Xxxxxxxxxx xxxxxx xxxxxxxxxx xxxxxx xxxxxx Xxxxxxxxxx xxxxxxx Xxxxxxxxxx xxxxx Xxxxxxxxx Xxxxxxx Xxxxxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxxxx xxxxx xxxxxxxxxx xxxxxxx xxxxxxxx Xxxxx xxxxx xxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxx xxxxxx xxxxxx Xxxxxx xxxxxx xxxxx Xxxxxxxxx Xxxxxxxxx Xxxxxx Xxxxx Xxxxxxxxx Xxxxxx Xxxxxx xxxxxx xxxxx xxxxxxx xxxxxxxxxx xxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxx xxxxxxx xxxxxxx Xxxxxxxxxx Xxxxx xxxxxxx
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10 xxxxxx Xxxxxxxx xxxxx Xxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxxxx Xxxxxxxx Xxxxx Xxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx xxxxxxxx xxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxxxxxx xxxxxxxx xxxxxxx xxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxxxxx xxxxxxxxx Xxxxx xxxxx xxxxxxx xxxxxxxx xxxxxx xxxxxxx Xxxxx Xxxxxxxxx Xxxxxxx Xxxxxxx Xxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxx xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxx xxxxxxxxxx
... Xxxxxxx xxxxxxxxxx Xxxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxx xxxxxxx xxxxxxx Xxxxxxxx xxxxxxx Xxxxxxx Xxxxxxx Xxxxxxxxx Xxxxx xxxxx Xxxxxxx xxxxxxxxx Xxxxx Xxxxxxxx xxxxxxxxx Xxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxx xxxxxxxxx xxxxx xxxxxx Xxxxxxxxx xxxxxxxxx xxxxxx xxxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxx Xxxxxxxx xxxxxxxx Xxxxxxxxx Xxxxxxxxx Xxxxxxxx Xxxxxxxxx Xxxxxxx Xxxxxx Xxxxxxxx xxxxxxx Xxxxxx Xxxxxx xxxxxxx Xxxxxxx Xxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxx xxxxxxxxxx Xxxxx
Sign In To Preview Data
Activity_ GeoPersona Segments- Brands - FR - PARIS.csv
Volume
620
Brands in Europe
Avail. Formats
.csv and .xls
File
Coverage
5
Countries
History
15
months

Data Dictionary

[Sample] Activity_ GeoPersona Segments- Brands - FR - PARIS.csv
Attribute Type Example Mapping
postal_code
 Integer 75001 Postal Code
postal_code_name
 String Paris I
region_name
 String Île-de-France
country_code
 String FR Country Code Alpha-2
brand_name
 String LOUIS VUITTON Brand Name
affinity_index_regional
 Float 1.51
affinity_index_national
 Float 2.74
quarter_range_start
 Date 2023-10-01
quarter_range_end
 Date 2023-12-31
population
 Integer 15709
households
 Integer 9232
purchasing_power_per_capita_in_euros
 Integer 56155
purchasing_power_per_household_in_euros
 Integer 95553
pop_age_0_to_5_years
 Integer 544
pop_0_to_5_years_male
 Integer 289
pop_0_to_5_years_female
 Integer 255
pop_age_5_to_10_years
 Integer 514
pop_5_to_10_years_male
 Integer 274
pop_5_to_10_years_female
 Integer 240
pop_age_10_to_15_years
 Integer 627
pop_10_to_15_years_male
 Integer 300
pop_10_to_15_years_female
 Integer 327
pop_age_15_to_20_years
 Integer 671
pop_15_to_20_years_male
 Integer 311
pop_15_to_20_years_female
 Integer 360
pop_age_20_to_25_years
 Integer 1354
pop_20_to_25_years_male
 Integer 588
pop_20_to_25_years_female
 Integer 766
pop_age_25_to_30_years
 Integer 1593
pop_25_to_30_years_male
 Integer 805
pop_25_to_30_years_female
 Integer 788
pop_age_30_to_35_years
 Integer 1321
pop_30_to_35_years_male
 Integer 730
pop_30_to_35_years_female
 Integer 591
pop_age_35_to_40_years
 Integer 1065
pop_35_to_40_years_male
 Integer 618
pop_35_to_40_years_female
 Integer 447
pop_age_40_to_45_years
 Integer 1150
pop_40_to_45_years_male
 Integer 623
pop_40_to_45_years_female
 Integer 527
pop_age_45_to_50_years
 Integer 1116
pop_45_to_50_years_male
 Integer 625
pop_45_to_50_years_female
 Integer 491
pop_age_50_to_55_years
 Integer 1146
pop_50_to_55_years_male
 Integer 633
pop_50_to_55_years_female
 Integer 513
pop_age_55_to_60_years
 Integer 918
pop_55_to_60_years_male
 Integer 477
pop_55_to_60_years_female
 Integer 441
pop_age_60_to_65_years
 Integer 875
pop_60_to_65_years_male
 Integer 445
pop_60_to_65_years_female
 Integer 430
pop_age_65_to_70_years
 Integer 809
pop_65_to_70_years_male
 Integer 408
pop_65_to_70_years_female
 Integer 401
pop_age_70_to_75_years
 Integer 686
pop_70_to_75_years_male
 Integer 353
pop_70_to_75_years_female
 Integer 333
pop_age_75_years_and_older
 Integer 1320
pop_75_years_and_older_male
 Integer 578
pop_75_years_and_older_female
 Integer 742
Product Attributes
Attribute Type Example Mapping
postal_code
 Integer 75001 Postal Code
postal_code_name
 String Paris I
region_name
 String Île-de-France
country_code
 String FR Country Code Alpha-2
brand_name
 String LOUIS VUITTON Brand Name
affinity_index_regional
 Float 1.51
affinity_index_national
 Float 2.74
quarter_range_start
 Date 2023-10-01
quarter_range_end
 Date 2023-12-31
population
 Integer 15709
households
 Integer 9232
purchasing_power_per_capita_in_euros
 Integer 56155
purchasing_power_per_household_in_euros
 Integer 95553
pop_age_0_to_5_years
 Integer 544
pop_0_to_5_years_male
 Integer 289
pop_0_to_5_years_female
 Integer 255
pop_age_5_to_10_years
 Integer 514
pop_5_to_10_years_male
 Integer 274
pop_5_to_10_years_female
 Integer 240
pop_age_10_to_15_years
 Integer 627
pop_10_to_15_years_male
 Integer 300
pop_10_to_15_years_female
 Integer 327
pop_age_15_to_20_years
 Integer 671
pop_15_to_20_years_male
 Integer 311
pop_15_to_20_years_female
 Integer 360
pop_age_20_to_25_years
 Integer 1354
pop_20_to_25_years_male
 Integer 588
pop_20_to_25_years_female
 Integer 766
pop_age_25_to_30_years
 Integer 1593
pop_25_to_30_years_male
 Integer 805
pop_25_to_30_years_female
 Integer 788
pop_age_30_to_35_years
 Integer 1321
pop_30_to_35_years_male
 Integer 730
pop_30_to_35_years_female
 Integer 591
pop_age_35_to_40_years
 Integer 1065
pop_35_to_40_years_male
 Integer 618
pop_35_to_40_years_female
 Integer 447
pop_age_40_to_45_years
 Integer 1150
pop_40_to_45_years_male
 Integer 623
pop_40_to_45_years_female
 Integer 527
pop_age_45_to_50_years
 Integer 1116
pop_45_to_50_years_male
 Integer 625
pop_45_to_50_years_female
 Integer 491
pop_age_50_to_55_years
 Integer 1146
pop_50_to_55_years_male
 Integer 633
pop_50_to_55_years_female
 Integer 513
pop_age_55_to_60_years
 Integer 918
pop_55_to_60_years_male
 Integer 477
pop_55_to_60_years_female
 Integer 441
pop_age_60_to_65_years
 Integer 875
pop_60_to_65_years_male
 Integer 445
pop_60_to_65_years_female
 Integer 430
pop_age_65_to_70_years
 Integer 809
pop_65_to_70_years_male
 Integer 408
pop_65_to_70_years_female
 Integer 401
pop_age_70_to_75_years
 Integer 686
pop_70_to_75_years_male
 Integer 353
pop_70_to_75_years_female
 Integer 333
pop_age_75_and_older
 Integer 1320
pop_75_and_older_male
 Integer 578
pop_75_and_older_female
 Integer 742

Description

GeoPersona identifies postal codes with high affinities for activities like sports, dining, and entertainment via visitation patterns. This non-PII tool enhances marketing, site selection, and customer experience in the US and EU5, using insights from 70M POIs to target locations and boost ROI.
GeoPersona is an advanced analytics tool that identifies residential postal codes where people with high affinity for specific consumer activities, such as sports, reside. It does so by analyzing people’s visitation patterns. For instance, it can reveal the postal codes in London where people interested in Louis Vuitton reside by analyzing visitation patterns to Louis Vuitton stores. This analysis of complex visitation patterns and geospatial behaviors allows GeoPersona to transform raw mobility data into actionable insights. Businesses can use this sophisticated analysis to pinpoint where potential customers reside, significantly enhancing marketing strategies, optimizing site selection and improving customer experiences. Why is GeoPersona Important? - Strong Indicator of Intent: A physical visit is stronger indicator of intent than simply browsing online. For example, a person who physically visits a movie theater is more likely to be interested in movies than a person who just browses for movie tickets online. - Non-PII Data: With privacy guardrails becoming stronger with time, it will become more challenging to track online behavior at a device ID level, making aggregated insights the norm. GeoPersona does just this with postal code-level aggregation of affinities. Additional Information: - We provide data aggregation on a quarterly basis. - Information about our dataset, including details on our country offerings and data schema, is available here: 1. Data Schema: https://docs.echo-analytics.com/geopersona/data-schema 2. GeoPersona Methodology: https://docs.echo-analytics.com/geopersona/methodology 3. GeoPersona Segments Offered: https://docs.echo-analytics.com/geopersona/segments-taxonomy 4. GeoPersona Brand Offering: https://docs.echo-analytics.com/geopersona/brands-by-country 5. Activating GeoPersona on The Trade Desk: https://docs.echo-analytics.com/geopersona/guide-activating-geopersona-on-the-trade-desk Echo's commitment to customer service is evident in our exceptional data quality and dedicated team, providing 360° support throughout the location data journey. We handle the complex tasks to deliver analysis-ready data sets to you. Business Needs: GeoPersona is indispensable across industries. Whether you need to target specific locations accurately, enhance targeting precision, optimize ad spend or devise a strategy for expanding your market, we provide the tools that eliminate guesswork. - Improve Targeting Precision Upgrade your audience segmentation accuracy by unlocking real-life visitation patterns - a true indicator of purchase intent. - Boost ROI on Ad Spend Improve CTR and conversion rates by targeting ads only to the most relevant locations and audiences, maximizing ad spend efficiency. - Plan Your Next Ad Campaign Utilize postal code-level data to run target ads in chosen locations where your target audience is most likely to be found. - Target Your ICP Where They Are Identify postal codes with characteristics similar to your most profitable segments, informing strategic market penetration decisions.

Country Coverage

Europe (5)
France
Germany
Italy
Spain
United Kingdom

History

15 months of historical data

Volume

620 Brands in Europe
400 Million Average Monthly Users
62 Events/Day/User

Pricing

Free sample available
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Available
Request detailed pricing

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Email
Frequency
monthly
quarterly
yearly
on-demand
Format
.csv
.xls

Use Cases

Geotargeting
Location-based Advertising Audience Targeting
Targeted Advertising
Location-based Audience Analytics

Categories

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Frequently asked questions

What is Echo Analytics GeoPersona Brand Segments Europe Segmentation Data Available Globally GDPR-Compliant?

GeoPersona identifies postal codes with high affinities for activities like sports, dining, and entertainment via visitation patterns. This non-PII tool enhances marketing, site selection, and customer experience in the US and EU5, using insights from 70M POIs to target locations and boost ROI.

What is Echo Analytics GeoPersona Brand Segments Europe Segmentation Data Available Globally GDPR-Compliant used for?

This product has 5 key use cases. Echo Analytics recommends using the data for Geotargeting, Location-based Advertising, Audience Targeting, Targeted Advertising, and Location-based Audience Analytics. Global businesses and organizations buy Consumer Behavior Data from Echo Analytics to fuel their analytics and enrichment.

Who can use Echo Analytics GeoPersona Brand Segments Europe Segmentation Data Available Globally GDPR-Compliant?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Consumer Behavior Data. Get in touch with Echo Analytics to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Echo Analytics GeoPersona Brand Segments Europe Segmentation Data Available Globally GDPR-Compliant go?

This product has 15 months of historical coverage. It can be delivered on a monthly, quarterly, yearly, and on-demand basis.

Which countries does Echo Analytics GeoPersona Brand Segments Europe Segmentation Data Available Globally GDPR-Compliant cover?

This product includes data covering 5 countries like Germany, United Kingdom, France, Italy, and Spain. Echo Analytics is headquartered in France.

How much does Echo Analytics GeoPersona Brand Segments Europe Segmentation Data Available Globally GDPR-Compliant cost?

Pricing information for Echo Analytics GeoPersona Brand Segments Europe Segmentation Data Available Globally GDPR-Compliant is available by getting in contact with Echo Analytics. Connect with Echo Analytics to get a quote and arrange custom pricing models based on your data requirements.

How can I get Echo Analytics GeoPersona Brand Segments Europe Segmentation Data Available Globally GDPR-Compliant?

Businesses can buy Consumer Behavior Data from Echo Analytics and get the data via S3 Bucket, SFTP, and Email. Depending on your data requirements and subscription budget, Echo Analytics can deliver this product in .csv and .xls format.

What is the data quality of Echo Analytics GeoPersona Brand Segments Europe Segmentation Data Available Globally GDPR-Compliant?

You can compare and assess the data quality of Echo Analytics using Datarade’s data marketplace. Echo Analytics has received 3 reviews from clients. Echo Analytics appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? August Edition.

What are similar products to Echo Analytics GeoPersona Brand Segments Europe Segmentation Data Available Globally GDPR-Compliant?

This product has 3 related products. These alternatives include Echo Analytics GeoPersona Interest Segments US Available Globally GDPR-Compliant, GapMaps USA and Canada Segmentation Data (AGS) Demographic Data Consumer Sentiment Data 68 Segments, and Accurate Append Verified US Audience Targeting Data Demographics/Wealth/Donation History Targeting & More High Match Rate Batch & API Delivery. You can compare the best Consumer Behavior Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Available

Echo Analytics

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