2 datasets found
  1. d

    Bumble, Match, Tinder Dating App Data | Consumer Transaction Data | US, EU,...

    • datarade.ai
    .json, .xml, .csv
    Updated Jun 26, 2024
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    Measurable AI (2024). Bumble, Match, Tinder Dating App Data | Consumer Transaction Data | US, EU, Asia, EMEA, LATAM, MENA, India | Granular & Aggregate Data available [Dataset]. https://datarade.ai/data-products/bumble-match-tinder-dating-app-data-consumer-transaction-measurable-ai
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Jun 26, 2024
    Dataset authored and provided by
    Measurable AI
    Area covered
    United States
    Description

    The Measurable AI Dating App Consumer Transaction Dataset is a leading source of in-app purchases , offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users.

    We source our in-app and email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients.

    Use Cases Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - User overlap between competitors - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better.

    Coverage - Asia - EMEA (Spain, United Arab Emirates) - USA - Europe

    Granular Data Itemized, high-definition data per transaction level with metrics such as - Order value - Features/subscription plans purchased - No. of orders per user - Promotions used - Geolocation data and more

    Aggregate Data - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018. All the transactional e-receipts are sent from app to users’ registered accounts.

    Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia.

    Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact michelle@measurable.ai for a data dictionary and to find out our volume in each country.

  2. b

    Bumble Revenue and Usage Statistics (2025)

    • businessofapps.com
    Updated Oct 2, 2020
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    Business of Apps (2020). Bumble Revenue and Usage Statistics (2025) [Dataset]. https://www.businessofapps.com/data/bumble-statistics/
    Explore at:
    Dataset updated
    Oct 2, 2020
    Dataset authored and provided by
    Business of Apps
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    After a strenuous year fighting a lawsuit against the company she co-founded, Tinder co-founder Whitney Wolfe Herd joined Russian entrepreneur and Badoo founder Andrey Andreev to launch Bumble....

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Measurable AI (2024). Bumble, Match, Tinder Dating App Data | Consumer Transaction Data | US, EU, Asia, EMEA, LATAM, MENA, India | Granular & Aggregate Data available [Dataset]. https://datarade.ai/data-products/bumble-match-tinder-dating-app-data-consumer-transaction-measurable-ai

Bumble, Match, Tinder Dating App Data | Consumer Transaction Data | US, EU, Asia, EMEA, LATAM, MENA, India | Granular & Aggregate Data available

Explore at:
.json, .xml, .csvAvailable download formats
Dataset updated
Jun 26, 2024
Dataset authored and provided by
Measurable AI
Area covered
United States
Description

The Measurable AI Dating App Consumer Transaction Dataset is a leading source of in-app purchases , offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users.

We source our in-app and email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients.

Use Cases Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - User overlap between competitors - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better.

Coverage - Asia - EMEA (Spain, United Arab Emirates) - USA - Europe

Granular Data Itemized, high-definition data per transaction level with metrics such as - Order value - Features/subscription plans purchased - No. of orders per user - Promotions used - Geolocation data and more

Aggregate Data - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018. All the transactional e-receipts are sent from app to users’ registered accounts.

Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia.

Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact michelle@measurable.ai for a data dictionary and to find out our volume in each country.

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