How Audience Intelligence works
Audience Intelligence
Build audience segments from real signals, not last year's assumptions. Every segment carries its source, sample size and confidence.
Are your audiences built from guesswork or from evidence?
- Segments copied from last year with no fresh data
- No way to compare audience traits against the market
- Search and social intent live in separate tools
- The same audience definition means different things in different markets
- Segments built from observed behaviour and research signals
- Every segment indexed against category benchmarks
- Search intent and platform behaviour in one view
- Canonical variables harmonize definitions across markets
One audience definition, grounded across every signal
First-party data, research studies, search behaviour and platform signals converge into segments you can explain and activate.
- Segment composition shows the source and sample behind it
- Benchmarks tell you if a trait is distinctive or just average
- Activation specs are generated automatically for each platform
Six things your team stops building by hand
Each capability ships enabled. Nothing here is a services engagement.
SEGMENTS FROM REAL SIGNALS
Build audiences from behaviour, not guesswork.
- Combine first-party, research and platform signals
- See the sample size behind every segment
AUDIENCES THAT CONVERT
Target the people who matter most.
- Segments ranked by expected response and reach
- Weak or small segments flagged before you spend
COMPARE AGAINST THE MARKET
See how you over- or under-index.
- Benchmark segment traits against category norms
- Index scores with plain-language interpretation
SEARCH AND SOCIAL INTENT
Find demand before your competitors do.
- Search behaviour mapped to audience segments
- Content and keyword gaps surfaced by audience
MULTI-MARKET INSIGHTS
One audience language across every market.
- Canonical variables harmonize across countries
- Local nuances preserved without fragmentation
ALWAYS CURRENT, ALWAYS AUDITABLE
Segments that stay fresh as signals arrive.
- Composition updates as new data flows in
- Full lineage from source to segment to activation
From signal to segment, in six governed steps
Every step is logged, so you can trace an audience back to its source.
Four jobs it pays for in the first quarter
Campaign Audience Strategy
Build segments that reflect real behaviour and intent, then push them to the platforms where you plan to spend.
Content Gap Analysis
Discover what your target audiences are searching for that your current content does not address.
Multi-Market Product Launch
Harmonize audience definitions across countries while preserving local media and behaviour differences.
Lookalike Expansion
Use cleaner, consent-aware seed lists to improve platform match rates and prospecting performance.
Questions buyers ask
Where does the audience data come from?
First-party signals, research studies, and platform data, all resolved through the Identity Graph. Every segment carries its source and sample size so you know what you can trust.
Can we use this for lookalike audiences?
Yes. Segments translate into seed lists for Meta, Google, TikTok and LinkedIn, with lookalike consent handled separately.
How do you avoid stereotyping?
Segments are built from observed behaviour and stated signals, not demographic shortcuts. Every profile carries its evidence and confidence level.
Does it refresh automatically?
Yes. As new signals arrive, segment composition and size update, and any activation using the segment is flagged when the source changes significantly.
Build one audience segment from your own data
Pick a target audience. We resolve the signals, show the benchmark and hand you an activation-ready spec.