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Echo Analytics | GeoPersona Interest Segments | Europe | Audience T...
Echo Analytics | GeoPersona Interest Segments | Europe | Audience Targeting D...
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Echo Analytics | GeoPersona Interest Segments | Europe | Audience Targeting Data Available Globally | GDPR-Compliant product image in hero

Echo Analytics | GeoPersona Interest Segments | Europe | Audience Targeting Data Available Globally | GDPR-Compliant

Echo Analytics
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Contact Provider Save for later
Data Samples
Activity_ GeoPersona Segments - FR - Activity_ GeoPersona Segments - FR - PARIS (1).csv
#
postal_code
postal_code_name
region_name
country_code
geopersona_segment
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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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
9 Xxxxxxxx Xxxxxx xxxxxxxxxx Xxxxx Xxxxxxx xxxxx xxxxxx xxxxxx Xxxxxxxx xxxxxxx Xxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxx xxxxxx Xxxxxxxx Xxxxx xxxxx Xxxxxxxxxx xxxxxx xxxxx xxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxxx xxxxxxxxxx xxxxxxx xxxxxxx xxxxxxxxxx Xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxx Xxxxxxx Xxxxxx xxxxxxxx xxxxx Xxxxxxxxxx Xxxxx xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxx xxxxxxx xxxxxx Xxxxxxxx xxxxxxx Xxxxxxxxxx xxxxxxxx xxxxxxxx
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Sign In To Preview Data
Activity_ GeoPersona Segments - FR - Activity_ GeoPersona Segments - FR - PARIS (1).csv
Volume
45
Segments
Avail. Formats
.csv and .xls
File
Coverage
5
Countries
History
15
months

Data Dictionary

[Sample] Activity_ GeoPersona Segments - FR - Activity_ GeoPersona Segments - FR - PARIS (1).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
geopersona_segment
 String Fashion Enthusiasts
affinity_index_regional
 Float 1.37
affinity_index_national
 Float 1.74
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
geopersona_segment
 String Fashion Enthusiasts
affinity_index_regional
 Float 1.37
affinity_index_national
 Float 1.74
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 affinities for specific consumer activities (such as sports, dining, and entertainment) reside. It does so by analyzing people’s visitation patterns. For instance, it can reveal the post codes in London where sports enthusiasts reside by analyzing visitation patterns to sports-related locations like stadiums, playgrounds and sports retailers. This particular data sample is for fashion enthusiasts in France, highlighting in which post codes you are most (and least) likely find audiences who frequent fashion-related 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. How does GeoPersona work? Taking aggregated mobility data, we score each postal code against various interest segments with an Affinity Index, which is a measure of the level of interest for a given category in the specified postal code. The higher the index, the stronger the interest (or affinity) for the segment is. The index is calculated using the following steps: 1. Use our strong Point of Interest (POI) database (70 million POIs worldwide) and separate them by category 2. Assign each GeoPersona segment to related POI categories. For example, Sports Enthusiasts would be mapped to POI categories like ‘sports_stadium’, ‘sports_shop’, etc. 3. Compute the baseline for each region/country to determine the average number of visitors at a segment level 4. Calculate the average number of visits made by residents of a given postal code to the Category 5. Compare the averages of each postal code with the regional/national baseline for the segment to obtain the Index. 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. 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 your location intelligence journey. We handle the complex tasks to deliver analysis-ready datasets 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

45 Segments

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 Interest Segments Europe Audience Targeting 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 Interest Segments Europe Audience Targeting 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 Interest Data from Echo Analytics to fuel their analytics and enrichment.

Who can use Echo Analytics GeoPersona Interest Segments Europe Audience Targeting Data Available Globally GDPR-Compliant?

This product is best suited if you’re a Medium-sized Business, Enterprise, or Small Business looking for Interest 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 Interest Segments Europe Audience Targeting 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 Interest Segments Europe Audience Targeting 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 Interest Segments Europe Audience Targeting Data Available Globally GDPR-Compliant cost?

Pricing information for Echo Analytics GeoPersona Interest Segments Europe Audience Targeting 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 Interest Segments Europe Audience Targeting Data Available Globally GDPR-Compliant?

Businesses can buy Interest 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 Interest Segments Europe Audience Targeting 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 Interest Segments Europe Audience Targeting Data Available Globally GDPR-Compliant?

This product has 3 related products. These alternatives include Echo Analytics GeoPersona Interest Segments US Available Globally GDPR-Compliant, GeoPostcodes Consumer Data Population Data Audience Targeting Data Segmentation data 55 year span Global coverage, and SMS New Movers Audience Targeting Data / USA / 1.2MM New Movers Monthly / Multi-Channel Targeting / Weekly Updates / 100% DPV verified. You can compare the best Interest 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

Fuel your data-driven strategy with the most accurate Geospatial Data worldwide.
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