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Online dating data analysis

5.3 Big Data Analytics for Online Dating Services,Executive Summary

The Global Online Dating Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, Base Year:  · Some of the dating websites are making efforts to generate online dating data for big data analytics by analyzing the behavior of users on the dating website based on the Our empirical analysis is based on a new data set that we obtained from a major online dating website. This data set records all activities of 23, users in Boston and San Diego during a ... read more

The user base covers paying and non-paying customers. All figures are estimates. A detailed methodology can be found in the Statista Digital Market Outlook.

Most popular dating apps in the U. As a Premium user you get access to the detailed source references and background information about this statistic. As a Premium user you get access to background information and details about the release of this statistic.

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Popular Statistics Topics Markets. Premium statistics. Read more. Revenue from online dating stood at million U. dollars in the United States in The Statista Digital Market Outlook estimates that revenue will increase to million dollars by You need a Statista Account for unlimited access.

Full access to 1m statistics Incl. source references Available to download in PNG, PDF, XLS format. Statista Accounts. View for free. Show source. Show detailed source information? Register for free Already a member? Log in. More information. Supplementary notes. Other statistics on the topic. Profit from additional features with an Employee Account. Diagram shown in Figure 6 provided by an article [9] illustrates a simple depiction on how matches are made based on the information provided.

Figure 1: Diagram showing how data is used to make matched. In addition to questionnaires, some sites collect data about customers from social media accounts and online shopping history by asking for user permission to have access to those accounts [9]. This information allows online dating sites to observe the actions of its customers, not only what is filled out in a questionnaire [9].

After the site collects a large amount of data, the information is analyzed; all the data is compiled in a database system including RDBMS and NoSQL databases, and then sifted through using a variety of different algorithms to predict the best matches [9]. The main objective in online dating is to find accurate matches. However, it is debatable whether big data actually improves the chances of a potential soulmate.

Those against big data in online dating claim that there is a high probability that both females and males may unintentionally or intentionally misrepresents themselves [9]. This is a major weakness for online dating sites to overcome. This is done by obtaining their search history, shopping history, and profiles on social media sites. Other professionals believe that big data is essential to finding the right relationship. The thought is that big data creates facts, and facts do not lie [9].

These behaviors include where the customer likes to shop, what shows they watch on Netflix, what social media site they perform, and so on.

Zhao from the University of Iowa has created a collaborative filtering system that looks at browsing behavior, in addition to responses from potential matches [3]. Examples of the browsing behavior are where does this person shop online and what music do they listen to.

This particular algorithm for online dating works similarly to how Netflix and Amazon recommend certain products [3]. Almost every dating site has created their own algorithms using big data in order to create meticulous matches. com has over seventy terabytes or data while eHarmony has over one hundred and twenty terabytes [9].

The next two paragraphs will analyze big data techniques that eHarmony and Match. com uses to determine a match. Every piece of information collected by eHarmony is used to determine each likely match for their users [9]. eHarmony currently has different algorithms working together to sort and analyze large amounts of data [9].

In addition to big data, eHarmony also utilizes machine learning to establish over one billion matches daily [9]. The matchmaking system for eHarmony is built in MongoDB which allows matches to be made in under twelve hours [9]. com provides questionnaires that range from fifteen to one hundred questions [9]. Next, points are given to the user based on a variety of predetermined qualifications.

We will discuss dating app monetization and business model in the next section. In addition, the dating giant Match Group is also owned by IAC. For the dating apps still seeking funding, all hope is not lost. There are some common traits among the ones who have received funding in the last few years.

Investors also seem to prefer apps that simplify dating options. While it might become more difficult for smaller players to succeed, the industry has been abuzz since Facebook announced its foray into online dating.

Facebook users will soon be able to elect to create a dating profile on Facebook, and since Facebook has so much data on its users, such as mutual friends, dating preferences, and common interests, it claims it should be able to deliver better matches. Users will be able to browse events in their city, but their activity and dating profiles will only be visible to others also utilizing the dating feature.

Still, Facebook could face some obstacles in building enough separation between the dating service and the legacy social network; some users might not like having both activities live on one app. And, Facebook has failed many times before , including Snapchat copycat apps Slingshot and Poke, as well as Room , which was meant to be a pseudonymous app that allowed users to create forums about any topic.

com might be the most vulnerable to Facebook. If Facebook sticks to simply helping people find events and groups to connect at, there may not be as much overlap between the two services. On an earnings call post-announcement, Ginsberg also pointed to the fact that only a quarter of Tinder users still rely on the Facebook platform to access the app.

Other apps have indicated that they might actually move closer to Facebook. For example, Bumble, founded by a former Tinder executive, said they had already reached out to Facebook regarding how to collaborate. So, how exactly do dating apps make money while keeping in mind the importance of utility to the user in the space? In general, the business model for dating apps falls into three broad categories : subscription plans and freemium, which utilize advertising and in-app purchasing.

The subscription model is the oldest model in the dating app sphere, requiring users to pay a fee to use the app for a set period of time usually a week or a month.

The payments are typically recurring. The most prominent example of such is Match. These sites are focused on finding people a serious relationship and tend to skew towards an older population who are willing and able to pay. Zoosk, eHarmony, and Chemistry, and Our Time are also paid dating services. Typically, the paid subscriptions are cheaper by the month if the user commits to a longer period of time.

The freemium model hinges on the concept where users can sign up and use the basic functionalities of the app for free, while the app generates revenue either via advertising or unlocking enhanced features for a fee.

Without a barrier to entry , freemium dating apps often wait to build scale , loyalty, and active users until they introduce paid features. They typically use a combination of both options. In-app advertising is a way for the app to generate shared revenue with advertisers from clicks, views or transactions. In April , Tinder launched its first ad campaign for Budweiser, where users viewed a Budweiser video within a few swipes.

The campaign went viral. However, Facebook has gone on record saying that its dating service will not include ads. Though basic membership is free, users can pay for extra, enhanced features. As of September , Tinder was the highest-grossing app on the app store among US consumers. It took Tinder about three years since its inception to start monetizing, as it was working to build its user base and loyalty before turning on the monetization engine. In second place is female-friendly Bumble, which also only started to monetize in August of The perks include Rematch, Beeline, and Busybee.

Online Dating Market size was valued at USD 7. This has fuelled up the Online Dating Market to a large extent. The Global Online Dating Market report provides a holistic evaluation of the market.

The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market. To Get Detailed Analysis: Download Report PDF. These apps simplify and speed up the process of flirting, chatting, meeting, and potentially becoming romantically involved in traditional online dating services. There are many advantages to using online dating apps. There is a lot of possibilities that a user can find the same-minded person in online dating.

These apps are developed using special algorithms to detect people with similar likes and interests. Although this might not be a good idea for life, users will certainly find many people with the same hobby and past time on these applications. The increasing adoption of smartphones and the growing penetration of the internet around the world are some of the significant factors affecting the growth of the Online Dating Market in the given analysis period.

Furthermore, the increasing number of singles has become a global phenomenon is anticipated to contribute to the growth of the market. Websites and software for online dating will reach a huge pool of dating. The investor finds online dating an attractive business further accelerating the growth. Social trends and increased dating and marriage outside traditional social circles are contributing factors bringing coincident societal changes, including rising rates of interracial marriage.

However, it can be vulnerable to various online frauds called romantic scams and this factor is primarily hindering the growth of the online market. There is some percent of users who felt that online dating is more dangerous expressing concerns about the safety of women. The Global Online Dating Market is segmented on the basis of Service, Subscription, Demographics, And Geography. To Get Summarized Market Report By Service:- Download Sample Report Now. Based on Service, the market is bifurcated into Matchmaking, Social Dating, Adult Dating, and Niche Dating.

The social dating segment holds a relatively higher market share in Owing to factors like instant hookups or non-monogamous relationships. Moreover, social dating has different business models like free subscriptions and paid subscriptions. The availability of smartphones and internet connectivity has risen the usage of dating services among millennials and has allowed dating service providers to expand.

To Get Summarized Market Report By Subscription:- Download Sample Report Now. Based on Subscription, the market is bifurcated into Annually, Quarterly, Monthly, and Weekly. Among the available options, the quarterly subscription held the largest market share. The key players in the Online Dating Market are further coming up with attractive deals that increase the subscription base and revenue which will lead to the overall growth of the online dating industry worth.

Companies like Tinder are providing remunerative offers to the customer opting for a quarterly subscription after more than one iteration. These kinds of strategies are expected to further boost the demand for overall segments.

To Get Summarized Market Report By Demographics:- Download Sample Report Now. Based on Demographics, the market is bifurcated into Adult, and Baby Boomer. Also, some young people are focused on their goals and prefer non-monogamous relationships over committed relationships. So, the social dating sites like Tinder serve as an ideal platform.

This is the reason that dating services are quite popular among people aged To Get Summarized Market Report By Regional Analysis:- Download Sample Report Now. Based on Geography, the Global Online Dating Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America is expected to hold the largest market share of Online Dating over the forecast period followed by Europe.

North America is being considered as the mature market for the online dating services industry. According to data, approximately 43 million users were active on different online dating apps in North America.

This is due to the fact that larger numbers of people are accounted for by the U. population, which turned out to be the client base for different providers of online dating services. The major players in the market are Bumble, Tinder, OkCupid, Coffee Meets Bagel, Match. com, Her, Grindr, Plenty of Fish. Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis.

The goal of the Member Pod is to gain feedback from a diverse group of people to foster innovation and enhance the Plenty of Fish experience. Tinder launched a film titled Closure to navigate through the tricky terrain of consent in the world of modern dating. Global Online Collaboration Tools Market Size And Forecast. To know more about the Research Methodology and other aspects of the research study, kindly get in touch with our Sales Team at Verified Market Research.

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Looking for a perfect match-Why not try big data analysis this time?,Introduction

 · Some of the dating websites are making efforts to generate online dating data for big data analytics by analyzing the behavior of users on the dating website based on the Our empirical analysis is based on a new data set that we obtained from a major online dating website. This data set records all activities of 23, users in Boston and San Diego during a The Global Online Dating Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, Base Year: ... read more

Instead of using big data to create matches, Match. Statista Accounts. user opinion on typical personality traits of dating website or app users U. Furthermore, it was also found that women are more likely to report negative interactions on dating platforms. There are some common traits among the ones who have received funding in the last few years.

Single Accounts Corporate Solutions Academia and Government. Based on Subscription, the market is bifurcated into Annually, Quarterly, Monthly, and Weekly. Applications of Big Data Analytics to Simulation-Based Physics 4. of Pages: Base Year for Estimate: Format: Download Sample Need customization Ask for a discount. This, however, is not something online dating data analysis.