Users are no longer simply placing wagers. Tey are moving through systems designed to guide, prompt, reward, and re-engage them in continuous loops where retention is progressively engineered through personalised incentives. Te key shift is that users are engaging less with “gambling” in the traditional sense, and more with continuous digital entertainment ecosystems.
ALTERING THE OPERATIONAL LOGIC OF THE INDUSTRY
In structural terms, in-play betting is the core engine of real-time immersion. Te platform is no longer simply a place to wager. It becomes a live entertainment layer where watching, reacting, and engaging increasingly occur within the same continuous experience.
Tis is increasingly enabled by synchronised data layers that connect live sporting events, odds engines, and user behaviour tracking systems
Tese mechanisms are often driven through the same behavioural CRM systems that process wagering activity, effectively merging engagement design and monetisation logic into a single operational layer.
From my perspective, these are not decorative mechanics. Tey are structural systems designed to shape how users interact with the product over time. Users are no longer participating in isolated transactions. Tey are progressing through systems with multiple layers
What complicates the picture further is convergence.
Sportsbook, casino, social engagement, and streaming content are no longer distinct verticals. Tey are increasingly merging into unified ecosystems where users move easily between
formats. Tis convergence is already visible in single-wallet, single-account architectures where identity, payments, and engagement data are shared across all product verticals.
in real time, allowing platforms to adapt engagement flows while the event is still in progress.
Wagering shifts from a discrete decision into a continuous process of interpretation and adjustment unfolding within this live entertainment environment. Users are no longer selecting outcomes in advance; they are responding to live action as it evolves in real time, while the underlying sporting or casino experience is still taking place. Once that engine is in place, everything else in the system adapts around it.
GAMIFICATION AS ENGAGEMENT ARCHITECTURE
I think gamification is still widely underestimated in its role. We saw a market opportunity, and that’s how MEGA (Motivational Engineering Gaming Application) was born. We realized that standard retention tools were falling short, so we engineered a gamification engine designed to transform passive players into loyal users and actively drive operator revenue. A school of thought still persists in parts of the industry that treats gamification as something superficial, reduced to
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YOEL ZUCKERBERG Chief Product Officer Soft2Bet
points, badges, and leaderboards layered on top of the product.
In today’s iGaming systems, gamification is not a feature layer. It is embedded into the infrastructure itself. We are talking about progression economies linked directly to betting, mission-based engagement loops, tiered loyalty systems calibrated to activity frequency, and real-time rewards triggered.
of engagement. And that distinction is still materially underestimated in how the industry understands what is actually being built.
CONVERGENCE INTO A UNIFIED ECOSYSTEM
What complicates the picture further is convergence. Sportsbook, casino, social engagement, and streaming content are no longer distinct verticals. Tey are increasingly merging into unified ecosystems where users move easily between formats. Tis convergence is already visible in single-wallet, single-account architectures where identity, payments, and engagement data are shared across all product verticals.
Te result is a continuous engagement loop that is no longer confined to a single product. It is platform-wide. From a structural perspective, this is where existing frameworks begin to strain. Most regulation is still organised around products, operators, and individual transactions. Retention architecture does not operate within those boundaries. It operates above them. It is system-level by design, and therefore optimises across product lines rather than within them.
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