# Social Listening for Sport | Real-Time Sentiment Analysis

> Go beyond mention counts. Quantify fan sentiment, detect crises early and measure conversation impact around your properties and sponsors.

Source: https://camaleonicanalytics.com/social-listening

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SYS.07 / SOCIAL LISTENING / SONAR

# Hear the crowd before it _roars_.

Real-time listening that surfaces every conversation while there is still time to shape it.

Camaleonic's Social Listening engine tracks what audiences say, feel, and share in real time. Define custom keywords, competitors, and crisis triggers to monitor narratives, detect risks, and measure public impact with AI precision.

[Request Demo →](https://camaleonicanalytics.com/request-demo)

#matchday
'crisis'
'kit launch'
@rivalbrand
'shirt sponsor'
#derbyday

LIVE SCAN

SWEEP / 360°
IG · TT · X · YT · FB · PRESS
● LIVE

01
/
Live Monitoring

## Intelligent alerts for _critical_ moments

The sonar never blinks. Crisis spikes, viral windows, and competitor moves surface the moment they happen.

ALR-01 / Crisis Alert
LIVE

Negative sentiment spike detected. Threshold breached across monitored sources.

+340%
mentions

ALR-02 / Viral Opportunity
LIVE

Positive mentions trending. Amplification window open on detected narrative.

+1.2M
reach

ALR-03 / Competitor Activity
LIVE

Major campaign detected. Share-of-voice shift under observation.

24K
mentions

02
/
Sentiment Telemetry

## Immediate sentiment _distribution_

Every detected mention is classified the second it lands: positive, neutral or negative, and rolled into a live distribution.

Total mentions / live
12,868

Updates every 3 seconds
● LIVE

SENTIMENT FEED

Positive

≈ 8,107 mentions
63%

Neutral

≈ 3,346 mentions
26%

Negative

≈ 1,415 mentions
11%

03
/
Core Capabilities

## Intelligence that never _sleeps_

Monitor, analyze, and act on conversations happening right now.

F.01

### Real-Time Keyword & Topic Tracking

Monitor brand names, products, assets, competitors, and events across social and digital platforms.

F.02

### Crisis Detection & Rapid Response Alerts

Detect sentiment spikes and viral mentions instantly to prevent reputation crises.

F.03

### Cross-Platform Monitoring

Track conversations across Instagram, TikTok, X, YouTube, Facebook, press, and influencer content.

F.04

### Sentiment & Narrative Analysis

Analyze public perception with sentiment, emotions, themes, and narrative evolution tracking.

Sentiment
Emotions
Themes
Hashtags
Evolution

F.05

### Brand Image & Reputation Metrics

Measure brand positioning across regions and audiences. Benchmark against competitors.

F.06

### AI-Powered Insights & Recommendations

Identify narrative risks, opportunity spikes, viral moments, and key influencers driving trends.

Narrative Risks
Opportunity Spikes
Viral Moments
Key Influencers

F.07

### Unified Dashboard for Communication Teams

Real-time dashboard with insights, alerts, sentiment curves for marketing, PR, and brand teams.

F.08

### Economic Impact & Media Value Attribution

Quantify the economic value of conversations. Link mentions, engagement, and sentiment to media value and ROI.

Media Value
ROI Attribution
Asset-Level Impact
Sponsor Performance

F.09

### Audience & Community Intelligence

Identify and segment audiences. Understand demographics, interests, and behaviors to optimize strategies.

Audience Segmentation
Community Mapping
Interest & Affinity Analysis
Fan & Consumer Insights

04
/
Detected Terms

## Trending _conversations_

Live keyword monitoring across all channels.

Sponsorship
/
#viral
/
Brand
/
@competitor
/
Crisis
/
#trending
/
Impact
/

#engaged
/
Reputation
/
@influencer
/
Sentiment
/
#breaking
/
ROI
/
#community
/

05
/
Request Access

## Stay ahead of _every_ conversation

Real-time monitoring that protects reputation and amplifies opportunity.

[Request Demo →](https://camaleonicanalytics.com/request-demo)

Key facts

## What does social listening add to sponsorship measurement?

Sentiment quantified, not mentions counted

Camaleonic monitors conversation 24/7 and quantifies sentiment rather than counting mentions, which is the difference between knowing a property was discussed and knowing how. Shifts surface early enough to act on, and conversation is attributed to the property or sponsor that caused it, so a spike traces back to the moment that produced it instead of being inferred from a daily total.

Defined here
[Sponsorship valuation](https://camaleonicanalytics.com/faq#sponsorship-valuation)
[CPE (Cost Per Engagement)](https://camaleonicanalytics.com/faq#cpe-cost-per-engagement)
