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You are here: Home / *BLOG / Around the Web / How Online Betting Platforms Evolve with User Behavior

How Online Betting Platforms Evolve with User Behavior

September 19, 2024 By GISuser

The past decade has seen an explosion in the online sports betting industry. As more states have legalized sports gambling, platforms like Pame Stoixima and some other hyper-popular establishments have battled for market share. However, simply offering betting lines is no longer enough to stand out. Modern online sportsbooks leverage data and artificial intelligence (AI) to analyze user behavior and tailor offerings to drive engagement. This ever-evolving landscape means that the online sports betting experience these days looks quite different than it did just a few years ago.

Rise of Personalization

One major way that online sportsbooks have evolved is via personalization. According to research firm H2 Gambling Capital, the U.S. sports betting market is projected to be worth $10.8 billion by 2028. With so much revenue on the line, sportsbooks are investing heavily in using data science to understand users and serve up a customized experience for their customers.

Predictive Modeling

At the heart of personalization lies predictive modeling. By gathering and analyzing user data, platforms can build models to forecast behavior. For example, by looking at factors like location, past betting activity and even social media activity, an algorithm can estimate how much a user can safely spend on bets. Platforms can then set customized deposit limits and recommend appropriately sized wagers to promote responsible online gambling.

Tailored Promotions

Sportsbooks are also harnessing data to estimate how valuable a user is and serve up tailored promotions. These can range from deposit matches for new users to VIP packages for the highest rollers. Platforms determine what offers to show based on projected lifetime value.

Contextual Recommendations

In addition, sportsbooks tap into usage history to provide contextual recommendations. If a bettor has repeatedly wagered on the Yankees, platforms can surface notifications about upcoming Yankees games or odds boosts on Yankees bets to drive engagement.

Proliferation of New Bet Types

Another major trend is the expansion into new bet types. While moneyline, spread and over/under bets have long dominated, sportsbooks realize they need more variety to attract new users.

Live In-Game Bets

One such example is live, in-game betting. Platforms now let users wager on ever-changing odds as the game progresses. This delivers an exciting rush for bettors. In-game bets also reduce the chances of point spread upsets. According to analytics firm H2 Gambling Capital, in-game bets should grow to $17 billion in handle by 2028.

Player Prop Bets

Additionally, online books enable betting on player prop bets. These wagers focus on outcomes around a player’s performance – for example, whether a basketball player will score over or under 30 points. Prop bets allow for more novelty and randomness, appealing to modern users.

Non-Sports Events

Some platforms have even branched out into non-sporting events. For example, some platforms offered odds on popular TV competitions like Survivor, The Voice and The Bachelor. By diversifying offerings, sportsbooks can reduce seasonal swings and acquire new audiences.

Key Figures in U.S. Online Sports Betting Growth

Year Projected Market Size Year-Over-Year Growth
2021 $3.3 billion +106%
2022 $5.8 billion +76%
2023 $9.0 billion +55%
2024 $11.1 billion +23%
2028 $10.8 billion -3%

As the data shows, while meteoric growth is expected in the next few years, market consolidation may occur down the road. However, for now, the future looks bright for innovative online sportsbooks. With billions in revenue up for grabs, platforms will continue leveraging data-driven personalization and new bet types to evolve the user experience. Those that lag behind in understanding their customers risk losing the market share game. 

Filed Under: Around the Web Tagged With: around, behavior, betting, evolve, how, online, platforms, the, user, web, with

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