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Gameday Fan Engagement

A contextual matchday experience with live answers, prompts, and recaps shaped for the club's audience.

For

Digital, fan engagement, and editorial teams at clubs and leagues.

Input to output

  1. 01Live match signals
  2. 02Club-approved knowledge
  3. 03Consented fan preferences
  4. OUTExample fan experience
Example fan experience

What changed after the substitution?

A source-grounded answer with current match context.

Related club story and matchday prompt.

The final channels, freshness, and personalization depend on the connected sources and permissions.

How it works

  1. 1
    machina

    Club Context

    Upload club documentation, stadium info, and team data for context.

  2. 2
    sportradar

    Sports Data Synchronization

    Fetch live match data from Sportradar to keep fans updated.

  3. 3
    google

    News Summary

    Gather latest sports news and updates related to the teams and match.

  4. 4
    machina

    AI Response Generation

    Allow fans to ask questions about live events or the club using conversational AI chat.

Example components, sources, and tools

Setup notes

  • sportradar
    Sportradar
  • machina
    Machina DBMachina component
  • machina
    Machina AIMachina component
  • google
    Web Search

Machina components are shown separately from external source and tool connections. External availability depends on the configured build and source rights.

Gameday Fan Engagement is an agent for clubs that produces matchday content for fans as the match happens — live stats framed as stories, second-screen prompts, quizzes and polls tied to real events, and post-match summaries — grounded in club data and the live fixture rather than a library of generic questions.

What the agent produces on a matchday

Everything follows the match itself, which is the difference between a poll a fan answers and one they scroll past.

  • Pre-match build-up with the club's own storylines and squad news.
  • Live prompts, quizzes and predictions that react to what just happened on the pitch.
  • Real-time stats framed as narrative rather than a raw table.
  • A post-match summary drafted after the final whistle and localized for an international fanbase.
  • Sponsor moments attached to a real event in the match instead of a fixed slot.

What changes when it reads your fan data

Without club data the agent is accurate and generic. With it, a prompt can reflect that this fan follows a specific player, renewed twice, or has never engaged with a particular competition — which is what separates content a fan reads from content that is merely correct.

That also sets the integration requirement: read the CRM, respect consent and channel preference per market, and write back what was sent and what was acted on, or the club ends up with personalized output it cannot measure.

What it needs from you

A live data source for the fixture, the surfaces you want to publish to — app, site, messaging — and your brand and legal rules, including anything specific to betting sponsors, minors or player-image rights. Fan data is optional to start and is what makes the second season materially better than the first.

Full guideAI Fan Engagement for Clubs: What It Automates and How to Evaluate ItWhy first-party data decides the outcome, and the checklist for evaluating a platform before you buy one.

Last updated: 2026-07-30

Frequently Asked Questions

What is a gameday fan engagement agent?

An agent that produces matchday content for fans as the match happens: build-up, live prompts and quizzes tied to real events, stats framed as stories, and a post-match summary. It reacts to the fixture rather than pulling questions from a fixed library.

Does it need our own fan data?

No to start, yes to be good. Fixture data alone produces content that is correct but the same for everyone. Ticketing history, favourite players and engagement patterns are what let a prompt reflect one fan, and that data lives only in the club's systems.

Where does the content get published?

Wherever the club already reaches fans — app, site, notifications and messaging channels. The agent composes once per moment and adapts the output per surface, so the same match event does not need to be rewritten by hand for each channel.

How are sponsor moments handled?

They attach to a real event in the match — a milestone, a comeback — rather than a fixed slot in the run of play. That is what makes an activation measurable in engagement terms instead of impressions, and it keeps the placement from reading as an interruption.