5 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. d

    Uber Email Receipt Data | Consumer Transaction Data | Asia, EMEA, LATAM,...

    • datarade.ai
    .json, .xml, .csv
    Updated Feb 26, 2024
    + more versions
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    Measurable AI (2024). Uber Email Receipt Data | Consumer Transaction Data | Asia, EMEA, LATAM, MENA, India | Granular & Aggregate Data available [Dataset]. https://datarade.ai/data-products/uber-email-receipt-data-consumer-transaction-data-asia-e-measurable-ai
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Feb 26, 2024
    Dataset authored and provided by
    Measurable AI
    Area covered
    United States of America, Brazil, Chile, Colombia, Mexico, Japan, Argentina, Asia, Latin America
    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.

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

    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 business@measurable.ai for a data dictionary and to find out our volume in each country.

  3. d

    Careem Now Email Receipt Data | Consumer Transaction Data | Asia, EMEA |...

    • datarade.ai
    .json, .xml, .csv
    Updated Oct 13, 2023
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    Measurable AI (2023). Careem Now Email Receipt Data | Consumer Transaction Data | Asia, EMEA | Granular & Aggregate Data avail. [Dataset]. https://datarade.ai/data-products/careem-now-email-receipt-data-consumer-transaction-data-measurable-ai
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Oct 13, 2023
    Dataset authored and provided by
    Measurable AI
    Area covered
    Brazil, Chile, Colombia, Argentina, Japan, United States of America, Mexico
    Description

    The Measurable AI Careem Now Email Receipt Dataset is a leading source of email receipts and 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.

    Coverage - Asia (Japan) - EMEA (Spain, United Arab Emirates)

    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 the Careem Now food delivery 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 business@measurable.ai for a data dictionary and to find out our volume in each country.

  4. Social media revenue of selected companies 2023

    • statista.com
    • es.statista.com
    + more versions
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    Stacy Jo Dixon, Social media revenue of selected companies 2023 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    In 2023, Meta Platforms had a total annual revenue of over 134 billion U.S. dollars, up from 116 billion in 2022. LinkedIn reported its highest annual revenue to date, generating over 15 billion USD, whilst Snapchat reported an annual revenue of 4.6 billion USD.

  5. Social media as a news outlet worldwide 2024

    • statista.com
    • es.statista.com
    + more versions
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    Amy Watson, Social media as a news outlet worldwide 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Amy Watson
    Description

    During a 2024 survey, 77 percent of respondents from Nigeria stated that they used social media as a source of news. In comparison, just 23 percent of Japanese respondents said the same. Large portions of social media users around the world admit that they do not trust social platforms either as media sources or as a way to get news, and yet they continue to access such networks on a daily basis.

                  Social media: trust and consumption
    
                  Despite the majority of adults surveyed in each country reporting that they used social networks to keep up to date with news and current affairs, a 2018 study showed that social media is the least trusted news source in the world. Less than 35 percent of adults in Europe considered social networks to be trustworthy in this respect, yet more than 50 percent of adults in Portugal, Poland, Romania, Hungary, Bulgaria, Slovakia and Croatia said that they got their news on social media.
    
                  What is clear is that we live in an era where social media is such an enormous part of daily life that consumers will still use it in spite of their doubts or reservations. Concerns about fake news and propaganda on social media have not stopped billions of users accessing their favorite networks on a daily basis.
                  Most Millennials in the United States use social media for news every day, and younger consumers in European countries are much more likely to use social networks for national political news than their older peers.
                  Like it or not, reading news on social is fast becoming the norm for younger generations, and this form of news consumption will likely increase further regardless of whether consumers fully trust their chosen network or not.
    
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Share
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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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