Know Your Audience, Reach Your Customers.

Consumer intelligence that deepens understanding and leads growth.

Talk to an Expert
Factori People

Trusted by Leading Businesses

Inmobi
Onspot
Innomt
Clear Channel
X axis
QMS
Vistar media
Abinbev
The trade desk
Yahoo
Group M
Madison World
Carto
Luxottica
0M+
Profiles
0+
Countries & Regions
0+
Segment Categories
0+
Data Attributes

Turn the unknown into known.

Enriched customer attributes turn anonymous data into opportunities for growth and advantage.

  • Demographic Profiling

  • Device Intelligence

  • Location Patterns

  • Affluence Indicators

Profile-Intelligence
Behavioral-Mapping

Follow the footprints. Find the preferences.

Decode movement patterns and preferences that shape customer journeys.

  • Brand Interactions

  • Place Categories

  • Travel Patterns

  • Interest Mapping

Gaps? Filled.

Build multi-dimensional customer profiles with enriched insights that bring clarity to every decision.

  • Custom segmentation

  • Look-alike modeling

  • Profile enhancement

  • Behavior prediction

Enrichment Power

Why Factori?

Filters

Quickly narrow down to the People who matter most, and save your filters for easy reuse.

Lists

Organize unlocked People into groups you can analyze, reuse, or export anytime.

Maps

Unlock People data by selecting an area or drawing a shape to capture everyone in that area.

Hear From Our Happy Customers

See how industry leaders are revolutionizing their strategies with Factori

Quote icon

“We are extremely satisfied with their proficiency, service and quality. We cannot recommend Factori enough for the value they provide in terms of their solutions. Factori has become a strategic partner of Froyoo in navigating the industry, finding new solutions and collaborating on mutually beneficial ventures. I am confident that whoever will work with them will be very satisfied.”

.

Daniel Davies - CEO, Froyoo
Daniel Fischer – CEO, Froyoo

Featured Articles

  • Customer shopping behavior across locations

    Published on: January 29, 2026

    Customer Shopping Behavior Across Locations: What Transactions Miss and How to Measure It

    If you manage dozens or even thousands of physical locations, this situation is familiar. Two stores report similar sales numbers....

  • Aggregated Mobility Data

    Published on: January 15, 2026

    How to Use Aggregated Mobility Data to Improve Demand Forecasting

    Demand forecasting accuracy is increasingly constrained not by modeling techniques, but by the timing and quality of input signals. Traditional...

  • Micro-Catchment Footfall: How Retailers Can Spot Shifting Demand at a Street-Block Level

    Published on: December 17, 2025

    Micro-Catchment Footfall: How Retailers Can Spot Shifting Demand at a Street-Block Level

    Most retailers measure footfall at the store level. Some look at ZIP codes or city-wide patterns. But the insights that...

Ready to transform your customer understanding?