5 datasets found
  1. b

    Dating App Revenue and Usage Statistics (2026)

    • businessofapps.com
    Updated Nov 26, 2020
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    Business of Apps (2020). Dating App Revenue and Usage Statistics (2026) [Dataset]. https://www.businessofapps.com/data/dating-app-market/
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    Dataset updated
    Nov 26, 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

    In 2013, Tinder revolutionised the online dating industry with a simple system, swipe right if interested, left if not. Instead of having a matchmaker rifle through thousands of profiles to find...

  2. d

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

    • datarade.ai
    .json, .xml, .csv
    Updated Oct 12, 2023
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    Measurable AI (2023). 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
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    .json, .xml, .csvAvailable download formats
    Dataset updated
    Oct 12, 2023
    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.

  3. b

    Hinge Revenue and Usage Statistics (2026)

    • businessofapps.com
    Updated Mar 11, 2022
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    Business of Apps (2022). Hinge Revenue and Usage Statistics (2026) [Dataset]. https://www.businessofapps.com/data/hinge-statistics/
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    Dataset updated
    Mar 11, 2022
    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

    Hinge is one of a new wave of apps that have marketed themselves as the anti-Tinder, with a focus on relationships over casual hookup culture. Its tagline, “the dating app designed to be...

  4. b

    Bumble Revenue and Usage Statistics (2026)

    • businessofapps.com
    Updated Oct 2, 2020
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    Business of Apps (2020). Bumble Revenue and Usage Statistics (2026) [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....

  5. d

    Paypal Email Receipt Data | Consumer Transaction Data | Payment Data | Asia,...

    • datarade.ai
    .json, .xml, .csv
    Updated Feb 23, 2024
    + more versions
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    Measurable AI (2024). Paypal Email Receipt Data | Consumer Transaction Data | Payment Data | Asia, EMEA, LATAM, MENA, India | Granular & Aggregate Data available [Dataset]. https://datarade.ai/data-products/paypal-email-receipt-data-consumer-transaction-data-payme-measurable-ai
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Feb 23, 2024
    Dataset authored and provided by
    Measurable AI
    Area covered
    Latin America, Argentina, Chile, Mexico, Brazil, United States of America, Colombia, Japan
    Description

    The Measurable AI Amazon Consumer Transaction Dataset is a leading source of email receipts and consumer transaction data, offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users.

    We source our 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 - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better.

    Granular Data Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - 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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Share
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Click to copy link
Link copied
Close
Cite
Business of Apps (2020). Dating App Revenue and Usage Statistics (2026) [Dataset]. https://www.businessofapps.com/data/dating-app-market/

Dating App Revenue and Usage Statistics (2026)

Explore at:
97 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 26, 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

In 2013, Tinder revolutionised the online dating industry with a simple system, swipe right if interested, left if not. Instead of having a matchmaker rifle through thousands of profiles to find...

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