The Challenge
What we help you understand
Media and advertising teams work across fragmented audience data, campaign metrics, social conversations, and content platforms. Connecting these signals to understand audience behaviour, track brand perception, and measure campaign performance can require substantial manual effort.
We connect fragmented data and deploy AI-driven intelligence to help teams uncover audience insights, optimize campaigns, and make better-informed media decisions.
Our Deliverables
What we help you understand
Audience & Sentiment
Unifying fragmented data sources into a high-integrity, real-time reporting engine to eliminate manual consolidation.
- Audience sentiment analysis
- Emerging trend detection
Campaign Intelligence
Applying predictive analytics to campaign and engagement data to identify performance drivers and support campaign optimization.
- Campaign performance prediction
- Cross-channel performance analysis
AI-Powered Research
Using AI to synthesize media research, analyze brand perception, and streamline reporting across multiple information sources.
- Brand perception tracking
- Automated research and reporting
USE CASES
See what's possible
Real-world AI applications for audience intelligence, campaign performance, and media research.
Audience & Sentiment Intelligence
- Audience insights. Emerging trends.
Campaign Performance Intelligence
- Performance insights. Smarter optimization.
AI-Powered Media Research
- Faster research. Actionable intelligence.
Typical outcomes
The Impact of AI
Turn audience signals into actionable insights, improve campaign performance, and reduce manual research and reporting.
faster
audience
insights
By connecting audience feedback, engagement data, and market signals.
less
manual
reporting
Through automated campaign analysis, research synthesis, and performance reporting.
“Understanding audiences requires connecting signals across channels, content, and changing market behaviour.”
38 Labs
- Audience Intelligence
Connect audience feedback, social conversations, and engagement data to uncover patterns, sentiment, and emerging interests.
- Campaign Performance Prediction
Use predictive analytics to assess campaign performance, identify trends, and support media planning.
- Brand Perception & Sentiment
Analyse conversations and content across channels to understand brand perception and changes in audience sentiment.
- Cross-Channel Performance Analysis
Combine campaign and engagement data to compare performance across platforms and identify optimisation opportunities.
- Content & Audience Recommendations
Apply machine learning to improve content recommendations, audience segmentation, and targeting strategies.
- Automated Research & Reporting
Use AI to synthesise research, summarise campaign results, and generate reporting for faster decision-making.