Betting from a smartphone is convenient, and the promise of quick wins on platforms attracts millions of users. These systems not only seek to increase engagement, but also to secure profits for companies. They use user behavior to personalize and manipulate the experience. That keeps them engaged. Here we explore techniques such as variable odds and custom-made betting patterns, exposing how algorithms strategically manipulate.
Dynamic Odds and Real-Time Adjustments
Betting apps stay profitable thanks to dynamic odds. Unlike traditional odds, which are fixed and decided before the event, dynamic odds change in real time based on game data and user behavior. This system adjusts to market demand, ongoing events, and, above all, to each person’s betting patterns.
For example, if a user tends to bet on certain teams or outcomes, the algorithm can modify the odds to make them more attractive or riskier, based on their history. The system then identifies which settings are most effective in prompting that user to bet, shaping their experience and increasing the likelihood that they will continue to participate. These changes create a sense of urgency, leading to impulsive decisions.
Furthermore, dynamic odds exploit psychological factors such as fear of losing out (FOMO) and loss aversion. Users may feel that they must bet before the odds get worse, pushing them to make quick decisions without thinking about the risks. This strategy is not accidental, but a deliberate tactic designed to maximize companies’ profits with each interaction.
Behavior Tracking and Personalized Betting Patterns
Betting apps don’t just respond to user behavior, they predict it. They use advanced algorithms that track every user action to adapt to their betting style. These algorithms build a detailed profile. They consider the frequency of bets, the amounts wagered, the types of bets, and the emotional reactions to wins or losses. Thus, the platforms anticipate when a user is most likely to bet. The sending of personalized notifications or promotions is done in those moments of vulnerability.
For example, if a user tends to bet more after a loss, the application could suggest high-risk bets after a losing streak. The expectation in the example is that the user tries to recover what was lost. Similarly, after a win, it will encourage riskier bets under the illusion of “playing for profit.” In this case, taking advantage of the player’s optimism. These tactics are carefully designed to increase bets and push users towards riskier behavior. This ensures that the platform continues to generate profits.
Push Notifications and Emotional Triggers
Notifications are a key tool to influence user behavior. Although they seem harmless—such as reminders of an upcoming game or event—they are programmed to appear at times when the user is most vulnerable. For example, after a period of inactivity, users may receive a “personalized” offer with attractive odds or a small bonus. The intention is to encourage them to come back. In this way, platforms are able to reactivate users who may have been taking a break.
The timing of these notifications is not accidental. Algorithms analyze previous behavior, detecting when a user is most receptive or after a significant loss. By generating an emotional reaction—whether it is the hope of winning or the frustration of losing—the apps increase the likelihood that the user will act impulsively.
Dark Patterns and the Psychology of Gambling
Algorithmic manipulation is also present in the design of gambling apps. They use dark patterns or deceptive design techniques to encourage gambling. These strategies include making it difficult to withdraw funds, adding several steps before a user can withdraw their winnings. Or presenting losses in a way that makes them seem less significant. For example, after a loss, the app may display a message such as “you’re almost there!” or highlighting how close they were to winning, implying that success is just around the corner. These psychological tactics foster irrational optimism. And they push users to keep betting even when they are losing.
Securing Profits at the Expense of Users
The ultimate goal of algorithmic manipulation is to secure constant profits through a cycle of addiction that keeps users coming back. By studying each person’s behavior, these platforms fine-tune the experience to take advantage of psychological vulnerabilities. And they make it difficult for users to stop gambling or notice that they are being manipulated.
This poses a clear ethical dilemma. While companies rake in more revenue, users often face addiction, financial loss, and emotional stress. As these algorithmic tactics become more sophisticated, so does the need for greater regulation and awareness.
