What we offer

Fan data that tells you
what to do next,
not just what happened.

Most social listening tools tell you that fans were angry last weekend. FanTrendTracker tells you which topics triggered that anger, which channels amplified it, how it shifted hour by hour — and what it means for your next decision.

See it in action
Standard tools give you
Positive vs. negative sentiment. A percentage. Maybe a word cloud. No context, no causality, no action.
FanTrendTracker gives you
11 emotion dimensions. Topic clusters. Temporal spikes. Channel breakdowns. Intelligence you can act on immediately.
Standard tools are
Generic platforms built for any industry. Expensive subscriptions. No sports domain knowledge. Black-box models.
FanTrendTracker is
Built specifically for sports. Academic methodology. Custom to your organisation. Local inference — your data never leaves.
Platform capabilities

Six ways we understand your fans

Every capability is designed to answer a specific question a sports organisation, broadcaster, or brand actually needs answered.

Core · Differentiator
Emotion analysis
Go beyond positive and negative. Classify fan comments into 11 nuanced emotions — joy, anger, anticipation, fear, disgust, surprise and more — using state-of-the-art multilingual transformer models.
11 dimensionsMultilingualPer-event breakdown
Core · Differentiator
Topic modelling
Automatically surface the themes fans are talking about using BERTopic. Each topic is labelled and described by a local LLM — no data leaves your infrastructure.
BERTopicAuto-labelledLocal LLM
Standard
Temporal trends
Understand how fan mood shifts hour by hour and day by day — before, during, and after an event. Identify the exact moments that trigger emotional spikes.
Hourly resolutionPre/during/post event
Standard
Multi-channel ingestion
Collect comments from multiple YouTube channels simultaneously. Track how sentiment varies across different content creators covering the same event.
YouTube APIMulti-channelCross-creator
Standard
Per-category drill-down
Slice any analysis by source, channel, or topic. Compare how different fan communities react to the same event across every segment.
Source filterTopic filterCross-segment
Standard
Local & private
All AI inference runs locally in a private environment. No comment data is ever sent to a third-party API. Suitable for commercially sensitive research.
LM StudioOllamaZero data leakage
How it works

From raw comments to clear decisions.

Four steps from first conversation to a live dashboard tracking your fans in real time.

01
We scope your needs
A 30-minute call to understand your sport, your audience, and the specific questions you need data to answer.
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02
We build your pipeline
Custom data ingestion configured to your channels, events, and timeframes. Implementation delivered within agreed timelines.
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03
Your dashboard goes live
Interactive dashboard delivered with full onboarding. Emotion breakdowns, topic clusters, and temporal trends — all in one place.
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04
Ongoing intelligence
Monthly retainer keeps your dashboard updated across the season. Quarterly insight reports included. Cancel anytime.
Use cases

Built for sports. Useful far beyond it.

FanTrendTracker is designed for sports organisations - but the framework applies anywhere large-scale fan or audience data exists.

Sports & motorsport
Track how fans respond to race results, driver transfers, regulation changes, and controversies across an entire season — not just race weekends.
Know which transfers landed well, which controversies need managing, and when to engage fans proactively — backed by data, not instinct.
F1 · F2 · F3FootballMotoGPCycling
Media & broadcasters
A permanent source of data-driven story angles — what fans are feeling, what topics are trending, what controversies are building — delivered every race weekend.
Know which storylines carry the strongest fan emotion before writing. Turn data into editorial advantage and audience relevance.
Sports journalistsBroadcastersDigital publishers
High-value entry point
Brands & sponsors
Sponsors spend on activations but have almost no objective measure of fan perception impact. We change that — pre/post campaign emotion data with topic-level attribution.
Know whether your activation moved the needle before the campaign closes. Bring emotion-level evidence to stakeholder reports and renewal decisions.
Sponsorship ROIActivation auditsBrand healthCampaign tracking
Academic research
A reproducible, auditable pipeline for consumer behaviour research — from data collection through AI-labelled insights. Methods section available on request.
Move beyond survey data to real-time behavioural evidence at scale. A citable methodology your reviewers can audit and replicate.
Consumer behaviourSentiment analysisNLP research