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.

According to a survey conducted in March 2025, almost 75 percent of Tinder users in the United States considered themselves religious, while 21 percent were non-religious.

According to a survey conducted in March 2025, 65 percent of Tinder users in the United States identified as men, and 35 percent identified as women. As of April 2025, Tinder is the most used dating app worldwide.

When it comes to the most well-known dating services in the United States, Tinder claims the top spot. The Los Angeles based dating app has a brand awareness of 73 percent, making it the most well-known dating app in the country, followed by eHarmony and Match, both of which incorporate 69 percent brand awareness in the United States.For this study, brand awareness was surveyed employing the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.

This dataset provides information about the number of properties, residents, and average property values for Tinder Box Circle cross streets in Monrovia, MD.

This dataset provides information about the number of properties, residents, and average property values for Tinder Street cross streets in Yukon, OK.

This dataset provides information about the number of properties, residents, and average property values for Tinder Avenue cross streets in Charleston, WV.

This dataset provides information about the number of properties, residents, and average property values for Tinder Box Court cross streets in Boiling Springs, SC.

The mobile dating app market is experiencing robust growth, driven by increasing smartphone penetration, evolving social dynamics, and the ongoing popularity of online dating. The market, estimated at $5 billion in 2025, is projected to expand significantly over the forecast period (2025-2033), fueled by a Compound Annual Growth Rate (CAGR) of approximately 15%. This growth is propelled by several key factors, including advancements in app features (like AI-powered matching and enhanced safety features), increasing user engagement through gamification and personalized experiences, and the expansion into new geographic regions. The market's competitive landscape is characterized by established players like Tinder, Bumble, and Hinge, alongside emerging niche apps catering to specific demographics or preferences. Successful strategies involve leveraging data analytics to refine matching algorithms, fostering inclusive communities, and effectively managing user privacy and safety concerns. Continued growth will depend on the ability of existing and new entrants to innovate and adapt to evolving user expectations. This includes addressing concerns around authenticity, safety, and data privacy, which are crucial for maintaining user trust and loyalty. The market will likely see further consolidation, with larger players potentially acquiring smaller competitors, and the emergence of new business models focusing on enhanced user experiences and monetization strategies beyond subscription models. Geographic expansion, particularly in developing markets with rising internet and smartphone usage, also represents a significant opportunity for growth. Competition will intensify as existing players enhance their features and new entrants look to carve out their niche within the increasingly crowded market.

The global dating app market is a dynamic and rapidly evolving sector, experiencing significant growth driven by increasing smartphone penetration, evolving social norms around dating, and the convenience offered by digital platforms. While precise figures for market size and CAGR are unavailable, industry reports suggest a multi-billion dollar market with a robust Compound Annual Growth Rate (CAGR) exceeding 15% between 2025 and 2033. This growth is fueled by several key factors. The expanding user base, particularly among younger demographics, is a significant contributor. Further propelling market expansion are ongoing innovations in app features, including advanced matching algorithms, enhanced safety measures, and the integration of social media functionalities. The diversification of dating app offerings to cater to specific niches, such as LGBTQ+ communities or those seeking long-term relationships, also contributes to overall market expansion. However, challenges remain, including concerns about data privacy, competition from numerous existing players and emerging rivals, and the continuous need for platforms to adapt to changing user preferences and expectations. Despite these challenges, the long-term outlook for the dating app market remains positive. The market's continued expansion will likely be driven by further technological advancements, improved user experiences, and increased monetization strategies. The rise of subscription models, in-app purchases, and targeted advertising is generating significant revenue streams. Geographic expansion into emerging markets with growing internet and mobile penetration presents further opportunities for growth. The competitive landscape is intense, with established players like Tinder, Bumble, and Match Group vying for market share alongside numerous niche players. The ability to adapt to evolving user preferences and maintain user trust through robust safety measures will be crucial for success in this highly competitive sector. The continued growth in mobile usage, combined with innovative app features and expanding global reach, suggests a vibrant future for this sector.

The global online dating app market is experiencing robust growth, driven by increasing smartphone penetration, evolving social dynamics, and the convenience of digital platforms for finding romantic partners. The market, estimated at $12 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $40 billion by 2033. This expansion is fueled by several key factors. Firstly, the prevalence of mobile dating apps, particularly among younger demographics, is a major catalyst. Secondly, innovative features like advanced matching algorithms, video chat integration, and safety measures are enhancing user experience and attracting a broader user base. Thirdly, the ongoing expansion into emerging markets, particularly in Asia and Africa, where internet and smartphone penetration are rapidly increasing, presents significant growth opportunities. Competition in the market is intense, with established players like Tinder and Bumble facing challenges from newer entrants focusing on niche demographics or innovative functionalities. However, the market is not without its challenges. Data privacy concerns and the prevalence of fake profiles remain significant hurdles that impact user trust and platform adoption. Regulatory scrutiny regarding data security and user safety also presents a risk to market growth. Furthermore, market saturation in mature regions like North America and Europe necessitates strategic diversification and expansion into untapped markets. Segment-wise, the mobile dating app segment currently dominates and will continue to do so, owing to its ease of access and ubiquitous nature. Although the gender split is relatively balanced, targeted marketing strategies catering to specific gender preferences and expectations within the apps are observed to increase user engagement. The success of future players will depend on their ability to innovate, address user concerns related to safety and privacy, and effectively navigate the competitive landscape while identifying and catering to the unique needs of diverse demographic segments.

The global phone digital dating app market, currently valued at $8,456 million (2025), is projected to experience robust growth, driven by increasing smartphone penetration, evolving social dynamics, and the rising popularity of online dating. The market's Compound Annual Growth Rate (CAGR) of 11.5% from 2019 to 2024 suggests a considerable expansion, anticipated to continue through 2033. Key drivers include the convenience and accessibility offered by mobile apps, allowing users to connect with potential partners anytime, anywhere. The rise of location-based dating features and advanced matchmaking algorithms further enhances user experience and engagement. Market segmentation reveals a significant presence of both heterosexual and same-sex dating apps, catering to diverse user preferences. Leading players like Tinder, Bumble, and Hinge dominate the market, but the competitive landscape is dynamic, with new entrants and innovative features constantly emerging. Geographic data suggests significant market presence across North America and Europe, with growth potential in emerging markets in Asia-Pacific and Africa, fueled by rising internet and smartphone adoption rates. Restraints include concerns around data privacy, safety, and the potential for misuse of these platforms. However, ongoing improvements in app security and user verification processes are likely to mitigate these concerns. Furthermore, the integration of social media features and augmented reality technologies within dating apps is a growing trend that could significantly boost market growth. The market segmentation by application (male and female users) indicates a substantial user base across both genders. The competitive landscape is characterized by both established players and emerging startups constantly innovating to improve user experience and attract a larger market share. Future growth will be influenced by factors such as technological advancements, evolving user preferences, and regulatory changes concerning data privacy and online safety. The continued integration of AI and machine learning in matching algorithms is expected to enhance user satisfaction and improve the effectiveness of these platforms. Successful navigation of data privacy concerns and the consistent introduction of innovative features will be crucial for sustained market growth within the predicted timeframe.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

According to a January 2022 analysis of the leading dating apps downloaded from the Apple App Store, the Badoo mobile app was indexed as collecting the largest number of data types from its users' activity. Bumble and HER ranked second, with an index value of close to 68, respectively. Grindr had a reported index value of 62, while market leader Tinder was indexed with a value of 38.4.

This dataset contains user reviews and comments from the Bumble dating application on the Google Play Store. Bumble is an online dating app where, in heterosexual matches, female users typically initiate the first contact. Beyond romantic connections, Bumble also facilitates finding friends through "BFF mode" and business networking via "Bumble Bizz". This dataset is valuable for understanding user experiences and sentiment towards the app.

Columns

• reviewId: A unique identifier for each user's review.
• userName: The name of the user who posted the review.
• userImage: A URL to the user's profile image.
• content: The textual comment or feedback provided by the user.
• score: The rating given by the user, ranging from 1 to 5.
• thumbsUpCount: The number of 'thumbs up' or likes a specific comment received.
• reviewCreatedVersion: The version number of the app on which the review was created.
• at: The date and time when the review was created.
• replyContent: The content of any reply made by the Bumble company to the user's comment.
• repliedAt: The date and time when the company's reply was posted.

Distribution

The dataset is typically provided as a data file, often in CSV format. It appears to contain a substantial number of records, with reviewId having 168,651 unique values. The data quality is rated as 5 out of 5, and the version of this dataset is 1.0.

Usage

This dataset is ideal for: * Natural Language Processing (NLP) tasks, such as sentiment analysis of user comments. * Market research to gain insights into user satisfaction and preferences regarding dating apps. * Analysing app performance based on user ratings and feedback. * Studying trends in social networks and popular culture related to online dating. * Identifying common user issues or popular features within the Bumble app.

Coverage

The dataset is global in its geographic scope. The reviews span a time period from 29 November 2015 to 28 June 2025. It primarily covers the experiences of Google Play Store users of the Bumble app. As of June 2016, 46.2% of Bumble's users were female.

License

CC-BY

Who Can Use It

• Data scientists and machine learning engineers interested in text analysis and sentiment modelling.
• App developers seeking direct user feedback to improve application features and user experience.
• Researchers focusing on online dating dynamics, social media behaviour, and popular culture.
• Businesses aiming to understand consumer sentiment and competitive landscapes in the social networking and dating industries.

Dataset Name Suggestions

• Bumble Google Play Reviews
• Bumble App User Feedback
• Bumble Play Store Ratings
• Bumble Dating App Reviews Dataset

Attributes

Original Data Source: Bumble Dating App - Google Play Store Review

This paper describes USBombus, a large dataset that represents the outcomes of the largest

standardized survey of bee pollinators (Hymenoptera, Apidae, Bombus) on the planet. The

motivation to collect live bumble bees across the US was to document the decline and

conservation status of Bombus affinis, B. occidentalis, B. pensylvanicus, and B. terricola. The

results of study have been published Proceedings of the National Academy of Sciences as

“Patterns of widespread decline in North American bumble bees” by Cameron et al. (2011). In

this dataset we have documented a total of 17,796 adult occurrence records across 391 locations

and 38 species of Bombus. The geospatial coverage of the dataset extends across 41 of the 50 US

states and from 0 to 3500 m a.s.l. The temporal scale of the dataset represents systematic surveys

that took place from 2007 to 2010. The dataset was developed using SQL server 2008 r2. For a each specimen, the following information is generally provided: species name, sex, caste,

temporal and geospatial details, Cartesian coordinates, data collector(s), and when available, host

plants. This database has already proven useful for a variety of studies on bumble bee ecology

and conservation. Considering the value of pollinators in agriculture and wild ecosystems, this

large systematic collection of bumble bee occurrence records will likely prove useful in

investigations into the effects of anthropogenic activities on pollinator community composition

and conservation status.

Data files for manuscript titled "A checklist of South Dakota bumble bees (Hymenoptera: Apidae) ", https://doi.org/10.3897/jhr.94.94584. Excel file with 4 tabs: Metadata, county maps, species data, and species matrix. Metadata is contained within Excel file that describes all variables for each tab. Abstract from paper: Several bumble bee species (Bombus Latreille) are declining and efforts to conserve populations will be strengthened by an improved knowledge of their geographic distribution. Knowledge gaps exist, however, especially in central portions of North America. Here we report 29 species of bumble bees from South Dakota in the north-central USA, based on 130 years of records from 1891 to 2021. Specimens or observations were available for >90% of the 66 counties, though they were not distributed evenly as most records came from Pennington, Lawrence, Custer, Brookings, and Day Counties. The five most commonly collected or reported bumble bee species were B. griseocollis (54 counties), B. pensylvanicus (41 counties), B. fervidus (39 counties), B. huntii (27 counties), and B. bimaculatus (25 counties). Twenty species were recorded from 10 or fewer counties. Despite differences in occurrence, 66% of the Bombus species in South Dakota were collected or observed since 2020, including six of the nine species of conservation concern (B. fraternus, B. pensylvanicus, B. fervidus, B. occidentalis, B. terricola, and B. morrisoni). However, the critically endangered B. affinis, B. variabilis, and B. suckleyi have not been collected or observed for over 50 years. While this checklist is the first for South Dakota bumble bees in nearly 100 years, data are still lacking as ~55% of counties had fewer than five species reported. We suggest future efforts should focus on these under-sampled areas to fill in baseline knowledge of the wild bee fauna towards completing a more holistic view of bumble bee distributions across the Great Plains. Resources in this dataset:Resource Title: Data from: A checklist of South Dakota bumble bees (Hymenoptera: Apidae). File Name: South Dakota Bumble Bees - Final Data File.xlsxResource Description: Excel file with 4 tabs: Metadata, county maps, species data, and species matrix.

This dataset provides information about the number of properties, residents, and average property values for Tinder Box Terrace cross streets in Marlton, NJ.

In this experiment, we crossed temperature (20, 25, and 30C) with humidity (95% RH) and measured the effects on bumble bee (Bombus impatiens) water balance. We had 10 replicates per treatment, with 6 source colonies, resulting in a total of 540 bees. We placed bees singly into tubes and checked for mortality every 2 hours for the first 12 hours and then every 4 hours until 5/10 bees from each temperature, humidity, colony treatment had reached mortality (52h and 48h for the two trials). We measured mass before and after mortality to evaluate water loss and then dried bees to a constant dry weight to get the initial water content and dry mass of each bee.

This dataset provides information about the number of properties, residents, and average property values for Tinder Lane cross streets in Levittown, NY.