Audience intelligence automation, built for a multicultural media agency.
An independent media and marketing strategy agency, focused on multicultural audiences, built an AI platform that turns a media brief into a channel-ready plan, compressing days of manual research into minutes.
A media agency built around multicultural audiences.
The agency provides media planning and audience intelligence for brands reaching multicultural and nuanced audiences. Its own research and data platform powers every campaign, from audience discovery through to channel activation.
Where the research time actually went.
Every campaign needed a fresh, accurate picture of its audience, and every time, an analyst had to start that research all over again.
Manual, analyst-dependent research
An analyst pulls syndicated crosstabs, reads hundreds of rows, cross-references sentiment, and hand-builds a media list. It’s slow, and it varies from one analyst to the next.
Off-the-shelf tools don’t close the gap
Raw panel data is rich but unread. One-size-fits-all targeting ignores cultural over-indexing and treats multicultural audiences as a general-market afterthought.
A snapshot from a single point of view
Syndicated panel data is authoritative but lags (often 12 to 18 months), so a plan built on it can be a plan built on last year’s audience.
The obvious traits, not the real insight
The highest-indexing traits in any dataset are usually the ones a planner already knew. What’s worth paying for is what nobody would have guessed.
What a real fix had to get right.
One research panel was never going to close this gap, no matter how skilled the analyst. Four things had to hold at once.
Cross-check every source, not just one
Merge multiple independent research sources into a single, weighted view, rather than trusting one panel’s point of view.
Catch what’s genuinely unexpected
Score findings for real, surprising relevance, not just the traits that were already obvious.
Track how an audience changes, not just where it stands
Carry a multi-year behavioral history, so a profile reflects what’s changed, not a single moment in time.
Say so when the evidence is thin
Score every answer for confidence, and flag clearly wherever the data doesn’t fully support it.
A signal layer, not another point tool.
Lyzr built an Intelligence Agent, a chain of specialized agents, that reads a brief, cross-checks the evidence across sources, and returns an audience profile with a recommended channel mix and a curated inventory package.
How a brief moves through the system.
A request moves through three stages, each backed by its own layer of caching so a brief never waits on a live data pull twice.
User Interface
Profile views, pivot approvals
API Layer
Auth, routing, degrade-safe
Core Application Logic
5 specialized engines, orchestrated
The engines, in order
Profile analysis engine
Audience sweep engine
Insight engine
Context monitoring engine
Activation builder
Enriches a decision Core has already made.
Data & Storage
Checked before it reaches a planner.
The system never lets a guess pass as fact.
From days of manual research to one guided brief.
Before: an analyst pulls syndicated crosstabs, reads hundreds of rows, and hand-builds a media list, a process that varies analyst to analyst. After: a planner works through a guided intake, and the engine returns a cross-checked, confidence-scored plan.
One guided intake. One governed run.
Four manual steps, repeated in full for every new brief.
What the engine is built to compress.
Same evaluation, transformed: from manual research to one governed run.
From media planning to a second product, bridged together.
The same governed AI layer already powers a second product for building audience personas, connected to the media planning engine through a fully deterministic bridge, so a persona can define a media audience, and media findings can enrich a persona, without either side losing traceability.
Got a use case in mind?
Platform, engineers and governance all in. We will map your workflow against the same four tests this one had to pass.