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Most plans still rely on past performance and platform tools alone. That leads to:
Factori gives you a simple, outside‑in view of each market so you can:
Build smarter geo segments for paid social, search, and programmatic using real audience, mobility, and spend patterns.
Choose screens and placements along corridors where your audience actually moves, lives, and shops.
Decide which markets and audience clusters get heavier CTV investment based on interest and spending power.
Adapt promos and creative to neighborhood profiles instead of running one generic line everywhere.
Shift money away from low‑response areas and into markets with rising interest and spend—backed by data, not gut feel.
You bring your channels, audiences, and creative. Factori brings the geo‑level context.
You decide which pieces matter for your plan; we make them easy to explore and compare.
Combine People, Mobility, and Retail Sales to build geo clusters that reflect real demand and audience fit, not just radius targeting.
Use Mobility, Traffic, and Places to pick high‑value corridors and screens around key stores, venues or trade areas.
Use Market and Economic data to choose which DMAs or regions get heavier CTV spend, and where to test new creative.
Use Events and Mobility to plan store‑level activations, local offers, and co‑marketing with nearby brands.
When a campaign over‑ or under‑delivers, layer in Factori data to see whether it was market interest, local economics, or execution.
Which ZIPs or neighborhoods should we prioritize for this launch?
Which DMAs deserve more CTV budget this quarter?
Where is category interest rising but our presence or share is still low?
Where should we buy OOH/DOOH if we want to reach young, affluent, high‑intent audiences?
How should we adjust messaging between these two cities that look similar on paper but perform differently?
Choose an upcoming launch, always‑on program, or a set of priority markets.
For example: People + Market + Retail Sales for channel mix, or Mobility + Events + Traffic for OOH and local activations.
Use our data to shape targeting, budget, and messaging—then use the same context to interpret results and refine the next cycle.
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