AI in Fan EngagementThe Fan Pulse

Smart Recommendations: How Netflix’s AI Playbook Can Transform Sports Fan Engagement

The nexus between Sports and Business.

Netflix built a business on keeping viewers engaged inside its walled garden — not by forcing them to watch everything, but by predicting what each subscriber wants to watch next and serving it instantly. That same idea — hyper-personalizing micro-content and reducing discovery friction — is now table stakes in sports. With short-form social, second-screen habits, and younger audiences expecting reel-style highlights and tailored recaps, sports rights-holders must migrate from “one broadcast fits all” to a model that delivers the right clip, to the right fan, at the right time, powered by AI. Netflix Help CenterBusiness Insider

Why this Matters (Business Case)

Deeper sponsorships — personalization lets you match sponsor creative to fan segments (e.g., engine brand creative to motorsport tacticians, youth lifestyle to Gen Z football fans). This increases CPMs and sponsor ROI. (See F1 & AWS case work on data-driven fan segments.) Amazon Web Services, Inc.

Attention = revenue — personalized clips and recaps increase watch time, ad impressions, and subscription value. MLB’s personalized daily video recaps are explicit proof-of-concept for incremental fan engagement. SportsPro

Scale & speed — AI automates clip creation and tagging at volumes humans can’t match, enabling near-real-time distribution across platforms (social, apps, OTT). WSC Sports and Grabyo-style tools already do this for hundreds of rights-holders. WSC SportsGrabyo

How Rights Holders Can Win Using AI (Framework)

Think like Netflix but execute like a sports operator. Four priority moves:

A. Personalized consumption surfaces — personalized recaps, daily “My Story” reels, recommended micro-highlights in-app or in push notifications. (MLB example.) SportsPro


B. Automated content engine — ingest live feed → detect moments → tag metadata → auto-create vertical/short edits → distribute. This creates scale without bloating editorial headcount. (WSC/Grabyo/Magnifi workflows.) WSC SportsGrabyo


C. Alternate/optional telecasts — offer stat-first or coach-mode streams (NBA + Second Spectrum alternate telecasts) so fans choose experience depth. This increases retention and unlocks premium upsells. NBA.com: NBA Communications


D. AI agents & search — in-app generative AI search/“catch me up” features and chat agents that summarize games and tailor recaps to interest (e.g., “Show me all Lionel Messi free-kicks this season”). Netflix’s AI search experiments show the power of natural-language discovery. TechRadar

Which Rights Holders Are Doing It Already

Short list of pioneers and the capabilities they’ve launched:

  • MLB — Personalized video recaps (“My Daily Story”) using Google Cloud & AI to create short-form, personalized highlights. Google CloudSportsPro
  • NBA — Optical tracking (Second Spectrum) powering enhanced alternate telecasts and interactive visualizations for League Pass. NBA.com: NBA Communications
  • Formula 1 — AWS-powered F1 Insights: predictive models, personalized insights and second-screen features. Amazon Web Services, Inc.+1
  • Cricket bodies & broadcasters — Cricket Australia, TVNZ and other cricket platforms use WSC Sports for automated highlights and social clips. Sports VideoWSC Sports
  • Tennis / Grand Slams — IBM + US Open / Wimbledon experiments with AI-powered recap features, live stats and “match chat.” IBM+1
  • Clubs (examples) — Manchester City, Liverpool and other top clubs use analytics/experience platforms (Qualtrics/SAP/club-specific AI) to personalize content and channels. DiginomicaManchester City FCFortune

Real Examples — Measurable Benefits

  • MLB: Personalized recaps increase engagement depth in-app and create more shareable short-form content that feeds social acquisition funnels. Google Cloud/MLB case indicates growth in short-form consumption and retention on mobile. Google Cloud
  • NBA: Second Spectrum’s data augmentation powers alternate streams and richer highlight packs — driving higher-value premium views on League Pass and enabling analytics-led sponsorship packages. NBA.com: NBA Communications
  • F1: F1 Insights on AWS reduced turnaround for analytic content and created new interactive products (pit strategy forecasts, battle predictors) that increased second-screen session time and sponsor integrations. Amazon Web Services, Inc.Amazon Web Services, Inc.
  • Cricket (TVNZ / Cricket Australia): Automated highlights allowed faster social distribution and more vertical-format content — delivering higher engagement rates on social and improved monetization opportunities. WSC SportsSports Video

AI Tools In Play (Practical List Rights-Holders Use Today)

  • WSC Sports — automated highlights & story discovery network. WSC Sports
  • Grabyo / Magnifi / Videoverse — live clipping and AI-assisted editing workflows. Grabyomagnifi.ai
  • Second Spectrum / Genius Sports — optical tracking, data augmentation, alternate telecasts. NBA.com: NBA Communications
  • Google Cloud (ML pipelines) — MLB case for personalized recaps. Google Cloud
  • AWS — F1 Insights, personalized second-screen features and scalable ML ops. Amazon Web Services, Inc.+1
  • Stats Perform / Opta — tracking & AI data, powering personalized editorial and predictive features. Stats Perform+1
  • IBM (watsonx, watson) — in-app match chat, AI summaries and operational efficiency at large events (US Open, Wimbledon pilots). IBM+1
  • Generative tools (OpenAI / custom GenAI) — AI search, natural-language recaps, voice/video synthesis for localized trailer variants. (See Netflix/OpenAI experimentation as a template.) TechRadarBusiness Insider

Key Playbook Moves — with Examples & “Steal This” Strategies

Playbook Move A — Automated Short-Form Engine

What to do: Auto-detect goals (goals, wickets, dunks, overtakes), auto-create 9:16 reels and platform-tailored versions, push them into social & app.

Example: WSC Sports powering vertical highlights across leagues; MLB’s My Daily Story. WSC SportsGoogle Cloud

Steal This: Start with 1 event type (e.g., ‘goal-of-the-week’) and auto-publish 3 variants (15s, 30s, 60s) to Instagram Reels + TikTok + in-app. Measure clicks → sponsor-friendly mid-roll insertion.

Playbook Move B — Personalized Daily Recaps

What to do: Let fans opt into personalized recaps based on player/team preferences; deliver a push or email with AI-curated “your highlights.”

Example: MLB (personalized recaps), Netflix’s tailored trailers/personalized homepages. Google CloudBusiness Insider

Steal This: Offer an “Easy 60s” recap for commuters and a “Tactical 3-min” for die-hards. Price-split premium access for in-depth analytics.

Playbook Move C — Alternate, On-Demand Telecasts

What to do: Use tracking data to create coach-mode, stat-mode or “mic’d up” alternate streams for niche audiences willing to pay or view ads.

Example: NBA + Second Spectrum alternate telecasts; F1 Insights predictive overlays. NBA.com: NBA CommunicationsAmazon Web Services, Inc.

Steal This: Launch one alternate stream per week for premium subscribers. Market it as “Deep Dive Friday” and tie a sponsor to the analytics overlay.

Playbook Move D — AI Search and Chat (Discovery)

What to do: Implement in-app generative search and chat (“Show me top X corner goals this season”) to reduce discovery friction. Netflix’s AI search pilot is a direct template. TechRadar

Steal This: Build a lightweight chatbot that answers “catch me up” with a 60s auto-generated highlight + 3 facts; tie sponsored CTA to the final screen.

Playbook Move E — Sponsor-First Personalization

What to do: Use fan segments to dynamically swap sponsor creative in short-form and recaps (region, interest, player fandom).

Example: F1 & AWS data work enabling targeted content and sponsor integrations; club CRM + Qualtrics personalization experiments. Amazon Web Services, Inc.Diginomica

Steal This: Create two sponsor tiers — contextual (broad) and hyper-targeted (personalized). Sell the latter at a higher CPM for measured activation.

Playbook Move F — Editorial + AI Hybrid

What to do: Use AI to create drafts (caps, short edits, recaps), then have a small editorial team finalize voice and sponsorship frames. This is faster and preserves brand tone.

Tools: Magnifi, Grabyo, WSC Sports + in-house editors. magnifi.aiGrabyo

Closing statement

Sports are at the same tipping point that entertainment faced a decade ago. Just as Netflix transformed viewing with personalization and smart recommendations, rights holders now have the opportunity to reimagine fan engagement through the use of AI. The winners won’t be those who create the most content, but those who deliver the right content, at the right time, to the right fan — while unlocking new sponsor value along the way. Start small with highlight automation and personalized recaps, then scale into alternate broadcasts, AI chat, and predictive analytics. The playbook is clear: treat every fan like an audience of one, and you’ll not only win their attention but also secure the future of your commercial growth.

Nilesh Deshmukh
I am passionate about sports and passionate about marketing. As a sports marketer, I have built significant expertise in successfully delivering medium to long term digital marketing strategy for global sports entities and brands like Arsenal FC, Manchester United FC, Chelsea FC, Major League Baseball, Formula E, and AELTC, etc to engage with their fans in India. I am currently based in London and work with a sports licensing startup.