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OVLN Build Log — Fan rewards & matchday integrations

In this build log, we dig into how OVLN (your platform name) designed and implemented its fan rewards system and matchday integrations. From technical architecture to UX decisions, this is a transparent look at what went on “under the hood.” Whether you’re building a sports platform, fan-engagement product, or loyalty system, I hope you’ll find useful insights (and maybe avoid a few pitfalls we ran into).


Goals & Requirements

Before writing any code, we scoped out what we wanted:

  • Reward fans for engaging actions (attending matches, sharing content, participating in polls, etc.)

  • Seamlessly integrate in-matchday experiences: real-time events, exclusive content, match stats

  • Modular & scalable architecture to support numerous clubs, leagues, and fans

  • Admin tools for clients (teams/clubs) to customize rewards, monitor usage, tweak rules

  • Low latency on matchday so fan interactions feel real-time

With these goals, we sketched out flows, modules, and data relationships before coding.


System Architecture Overview

Below is a high-level architecture outline:

  1. Frontend (Web & Mobile App)

    • React / React Native (or your stack)

    • Real-time Pub/Sub for match events

    • UI components for dashboards, reward catalog, match overlays

  2. Backend / API Layer

    • REST + WebSockets / GraphQL Subscriptions

    • Microservices structure:
       • Reward Engine
       • Matchday Event Service
       • User Profile & Wallet
       • Admin / Rules Engine
       • Analytics / Metrics

  3. Data & Storage

    • Relational DB (PostgreSQL / MySQL) for core data

    • NoSQL / caching (Redis) for fast lookups, leaderboards

    • Event Sourcing / Change Data Capture for match events

    • Data warehouse for analytics

  4. Third-party Integrations

    • Sports data APIs (live match stats, event triggers)

    • Push notification / messaging providers

    • Payment / redemption gateways (if rewards include purchases)

    • Authentication / identity services

  5. Admin / Dashboard Interface

    • Rule builders, reward catalog editors

    • Analytics dashboards: redemption rates, engagements, latency

    • Capability to toggle matchday activations, seasonal campaigns


Feature Implementation: Fan Rewards

Reward Types & Rules

We defined multiple reward types:

  • Event-based rewards: e.g. “Attend a match” → reward X points

  • Action-based rewards: e.g. share a post, vote in polls, answer quizzes

  • Tiered badges: Bronze, Silver, Gold for milestones

  • Bonus multipliers on matchdays or special campaigns

Rules engine is key: allow clients to define if this then that without code changes. For example:

“If fan attends more than 5 matches in a season, upgrade to Gold badge.”

Wallet & Redemption

Fans hold “points” or “credits” in their wallet/profile. They can redeem them for:

  • Exclusive digital content

  • Merchandise vouchers

  • Matchday upgrades (if applicable)

  • Experiences (e.g. meet & greet)

Redemption is transactional — atomic operations to avoid double spending or race conditions.

Security, Fairness & Anti-Abuse

We built mitigations:

  • Rate limiting on reward actions

  • Verification steps (e.g. verifying attendance via scan or check-in)

  • Logging and audit trails

  • Manual review flags for suspicious behavior


Feature Implementation: Matchday Integrations

Matchday is the “moment of truth” — fans expect real-time, exciting features. We integrated:

  • Live events / triggers (goals, red cards, substitutions) → these trigger UI changes or mini-rewards

  • Quizzes / Polls during match (e.g. what will be next substitution?)

  • Overlay content synchronized with match clock

  • Leaderboard updates in real-time

  • Push / in-app notifications for match highlights

To support low latency, we used streaming / Pub/Sub, caching, and prioritized message routing.


Challenges & Lessons Learned

  • Latency & synchronization: Keeping all clients in sync (mobile, web) during fast events was tricky. We used time-sync protocols, clock drift calibration, and fallback polling.

  • Rule complexity: Some clients requested extremely complex reward rules. We had to balance flexibility with maintainability.

  • Scalability under load: On big match days, traffic spikes huge. We stress-tested, used autoscaling, sharding, and read replicas.

  • Edge cases: e.g. fan losing connection mid-match, switching devices mid-session, redemption conflicts.

  • Data consistency: Ensuring match events, user actions, and reward state stayed consistent under concurrency.


Metrics & Early Results

So far, from beta launches:

  • ↑ 40 % higher engagement on matchdays

  • ↑ 25 % redemption rate on rewards

  • ↓ Manual overhead for clubs (admin tools helped)

  • Real-time latency is under 200ms on average for match triggers

These are early, but encouraging.


Future Roadmap

  • AI / personalization: Suggesting rewards or interactions based on fan behavior

  • Augmented reality features on matchday

  • Social / community features (fan hubs, chats, shared challenges)

  • Cross-club / cross-league campaigns

  • More redemption types & partner integrations

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