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

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

Echo Analytics
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Contact Provider Save for later
Data Samples
Activity_ GeoPersona Segments - Brands - US - NY.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
6 xxxxxxxxxx xxxxxx xxxxxxxx Xxxxxxxx xxxxxx xxxxxxxx xxxxxx Xxxxxxxx xxxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxx xxxxxxxxx xxxxx Xxxxx Xxxxxxxx xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxx xxxxxxxx xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxx xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxx xxxxxx Xxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxx Xxxxx Xxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxx Xxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxxxx
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
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
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 - US - NY.csv
Volume
400
Million Average Monthly Users
Avail. Formats
.csv and .xls
File
Coverage
1
Country
History
20
months

Data Dictionary

[Sample] Activity_ GeoPersona Segments - Brands - US - NY.csv
Attribute Type Example Mapping
postal_code
 Integer 10021 Postal Code
postal_code_name
 String New York
region_name
 String New York
country_code
 String US Country Code Alpha-2
brand_name
 String MCDONALD'S Brand Name
affinity_index_regional
 Float 0.24
affinity_index_national
 Float 0.14
quarter_range_start
 Date 2023-10-01
quarter_range_end
 Date 2023-12-31
population
 Integer 44644
households
 Integer 22461
purchasing_power_per_capita_in_euros
 Integer 177067
purchasing_power_per_household_in_euros
 Integer 351943
pop_age_0_to_5_years
 Integer 2287
pop_0_to_5_years_male
 Integer 1241
pop_0_to_5_years_female
 Integer 1046
pop_age_5_to_10_years
 Integer 1685
pop_5_to_10_years_male
 Integer 865
pop_5_to_10_years_female
 Integer 820
pop_age_10_to_15_years
 Integer 1971
pop_10_to_15_years_male
 Integer 926
pop_10_to_15_years_female
 Integer 1045
pop_age_15_to_20_years
 Integer 1648
pop_15_to_20_years_male
 Integer 656
pop_15_to_20_years_female
 Integer 992
pop_age_20_to_25_years
 Integer 1281
pop_20_to_25_years_male
 Integer 344
pop_20_to_25_years_female
 Integer 937
pop_age_25_to_30_years
 Integer 4244
pop_25_to_30_years_male
 Integer 1338
pop_25_to_30_years_female
 Integer 2906
pop_age_30_to_35_years
 Integer 4415
pop_30_to_35_years_male
 Integer 2082
pop_30_to_35_years_female
 Integer 2333
pop_age_35_to_40_years
 Integer 2623
pop_35_to_40_years_male
 Integer 1190
pop_35_to_40_years_female
 Integer 1433
pop_age_40_to_45_years
 Integer 3033
pop_40_to_45_years_male
 Integer 1517
pop_40_to_45_years_female
 Integer 1516
pop_age_45_to_50_years
 Integer 2465
pop_45_to_50_years_male
 Integer 1261
pop_45_to_50_years_female
 Integer 1204
pop_age_50_to_55_years
 Integer 2705
pop_50_to_55_years_male
 Integer 1359
pop_50_to_55_years_female
 Integer 1346
pop_age_55_to_60_years
 Integer 2241
pop_55_to_60_years_male
 Integer 1238
pop_55_to_60_years_female
 Integer 1003
pop_age_60_to_65_years
 Integer 2437
pop_60_to_65_years_male
 Integer 1321
pop_60_to_65_years_female
 Integer 1116
pop_age_65_to_70_years
 Integer 2388
pop_65_to_70_years_male
 Integer 1209
pop_65_to_70_years_female
 Integer 1179
pop_age_70_to_75_years
 Integer 2407
pop_70_to_75_years_male
 Integer 764
pop_70_to_75_years_female
 Integer 1643
pop_age_75_years_and_older
 Integer 6814
pop_75_years_and_older_male
 Integer 3008
pop_75_years_and_older_female
 Integer 3806
Product Attributes
Attribute Type Example Mapping
postal_code
 Integer 10021 Postal Code
postal_code_name
 String New York
region_name
 String New York City Name
country_code
 String US Country Code Alpha-2
brand_name
 String MCDONALD'S Brand Name
affinity_index_regional
 Float 0.24
affinity_index_national
 Float 0.14
quarter_range_start
 Date 2023-10-01
quarter_range_end
 Date 2023-12-31
population
 Integer 44644
households
 Integer 22461
purchasing_power_per_capita_in_euros
 Integer 177067
purchasing_power_per_household_in_euros
 Integer 351943
pop_age_0_to_5_years
 Integer 2287
pop_0_to_5_years_male
 Integer 1241
pop_0_to_5_years_female
 Integer 1046
pop_age_5_to_10_years
 Integer 1685
pop_5_to_10_years_male
 Integer 865
pop_5_to_10_years_female
 Integer 820
pop_age_10_to_15_years
 Integer 1971
pop_10_to_15_years_male
 Integer 926
pop_10_to_15_years_female
 Integer 1045
pop_age_15_to_20_years
 Integer 1648
pop_15_to_20_years_male
 Integer 656
pop_15_to_20_years_female
 Integer 992
pop_age_20_to_25_years
 Integer 1281
pop_20_to_25_years_male
 Integer 344
pop_20_to_25_years_female
 Integer 937
pop_age_25_to_30_years
 Integer 4244
pop_25_to_30_years_male
 Integer 1338
pop_25_to_30_years_female
 Integer 2906
pop_age_30_to_35_years
 Integer 4415
pop_30_to_35_years_male
 Integer 2082
pop_30_to_35_years_female
 Integer 2333
pop_age_35_to_40_years
 Integer 2623
pop_35_to_40_years_male
 Integer 1190
pop_35_to_40_years_female
 Integer 1433
pop_age_40_to_45_years
 Integer 3033
pop_40_to_45_years_male
 Integer 1517
pop_40_to_45_years_female
 Integer 1516
pop_age_45_to_50_years
 Integer 2465
pop_45_to_50_years_male
 Integer 1261
pop_45_to_50_years_female
 Integer 1204
pop_age_50_to_55_years
 Integer 2705
pop_50_to_55_years_male
 Integer 1359
pop_50_to_55_years_female
 Integer 1346
pop_age_55_to_60_years
 Integer 2241
pop_55_to_60_years_male
 Integer 1238
pop_55_to_60_years_female
 Integer 1003
pop_age_60_to_65_years
 Integer 2437
pop_60_to_65_years_male
 Integer 1321
pop_60_to_65_years_female
 Integer 1116
pop_age_65_to_70_years
 Integer 2388
pop_65_to_70_years_male
 Integer 1209
pop_65_to_70_years_female
 Integer 1179
pop_age_70_to_75_years
 Integer 2407
pop_70_to_75_years_male
 Integer 764
pop_70_to_75_years_female
 Integer 1643
pop_age_75_and_older
 Integer 6814
pop_75_and_older_male
 Integer 3008
pop_75_and_older_female
 Integer 3806

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, live. It does so by analyzing people’s visitation patterns. For instance, it can reveal the postal codes in New York where people interested in McDonalds live by analyzing visitation patterns to McDonald's restaurants. 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 live, significantly enhancing marketing strategies, optimizing site selection, and improving customer experiences. Why is GeoPersona Important? Strong Indicator of Intent: A physical visitation 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 postcode-level aggregation of affinities. This data is non-PII and GDPR-compliant. 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

North America (1)
United States of America

History

20 months of historical data

Volume

137 Brands in US
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 US 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 US 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 Audience Data from Echo Analytics to fuel their analytics and enrichment.

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

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Audience 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 US Segmentation Data Available Globally GDPR-Compliant go?

This Tabular Data has 20 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 US Segmentation Data Available Globally GDPR-Compliant cover?

This product includes data covering 1 country like USA. Echo Analytics is headquartered in France.

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

Pricing information for Echo Analytics GeoPersona Brand Segments US 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 US Segmentation Data Available Globally GDPR-Compliant?

Businesses can buy Audience 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 US 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 US Segmentation Data Available Globally GDPR-Compliant?

This Tabular Data has 3 related products. These alternatives include Echo Analytics GeoPersona Brand Segments Europe Segmentation Data Available Globally GDPR-Compliant, Accurate Append Verified US Audience Targeting Data Demographics/Wealth/Donation History Targeting & More High Match Rate Batch & API Delivery, and QuoteWay Canada Telemarketing Data 1.3M Complete Profiles with Consumer Marketing Data, Interest Data Perfect for Audience Segmentation. You can compare the best Audience 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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