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See your categories the way the market sees them

Factori helps CPG and consumer brands understand what’s happening around every key market, banner, and store—who shops there, how they move, what they search for, and where they actually spend—so you can make better calls on demand, promo, assortment, and market bets.

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Plan your operations around how the world actually works.

You don’t own the store, but your business depends on what happens in it.

Most CPG decisions are built on:

Shipment and syndicated data

High‑level demographics

One‑off studies and retailer decks

Factori adds a consistent outside‑in view, so you can:

See where demand is building or fading

Understand which stores and markets truly fit your brand

Plan promos, media, and innovation with real local context

Enhancing your decision making workflow

Demand by banner, market, and channel

Move beyond national curves and see how demand really differs by region and retailer.

Promo & trade planning

Decide where to go deep, where to go light, and where not to promote at all.

Assortment & pack strategy

Align range and pack sizes with local household, income, and usage patterns.

Retail media & geo‑based activation

Aim spend at store catchments and neighborhoods that actually match your target shopper.

Innovation & market selection

Choose where to launch and scale based on interest, spend, and local fit—not just intuition.

The data CPG teams need

You bring shipments, panel, and retailer data. Factori brings the real‑world layer.

All datasets are aggregated, privacy‑safe, and designed to be simple to understand and connect to your markets, banners, and priority stores.

Retail

Retail

Aggregated category and brand spend by market—where your space is growing, flat, or falling.

Market

Market

Search and commerce interest for your brands, competitors, and categories across regions.

People

People

Aggregated view of local households and workers: age mix, income bands, lifestyle indicators.

Mobility

Mobility

How people move around key banners, corridors, and trade areas.

Places

Places

Store networks, formats, competitors, and complementary banners in each market.

Events

Events

Local events and calendars that drive short‑term spikes in key categories.

How CPG brands use 
real world context

Smarter demand and planning

  • Combine Retail Sales, Market, People, and Economic data to understand where categories are truly growing.
  • Segment markets by demand pattern and shopper profile, not just sales volume.

Better promo and trade decisions

  • Use Retail Sales, Events, and Market to decide where to lean in, test, or pull back on promotions.
  • Align funding and mechanics to local conditions instead of one global template.

Stronger assortment and pack choices

  • Use People and Economic data to shape price ladders and pack sizes by region and banner.
  • Pair Places and Business data to understand how your range plays next to competitors and neighbors.

Higher‑impact media and activation

  • Use Mobility, People, and Market data to pick the best catchments and corridors for OOH, CTV, and retail media.
  • Answer “which stores and neighborhoods should see this campaign first?” with data, not guesswork.

Key questions CPG teams can answer confidently

In which markets is our category growing faster than our share?

Where should we prioritize promo depth vs. everyday price vs. innovation?

Which banners and store clusters are the best fit for our premium or value lines?

Where should we put OOH and CTV against this launch for maximum impact?

How should plans change in markets where economics are softening but interest is still high?

Made for data-driven CPG teams

Sales and category leaders working with retailers

who need error down and trust up.

Looking for clean, reliable visit data to plug into models and dashboards.

Looking for clean, reliable visit data to plug into models and dashboards.

Looking for clean, reliable visit data to plug into models and dashboards.

Looking for clean, reliable visit data to plug into models and dashboards.

Looking for clean, reliable visit data to plug into models and dashboards.

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See dataset samples
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Pick a focus area

For example: next‑year planning for a priority category, a key retailer, or a set of focus markets.

Choose a starter bundle

Common starting point for CPG: Retail Sales + Market + People + Economic, then layer in Mobility, Places, and Business for more detail.

Run a focused review

Compare how you plan today vs. how decisions look with real‑world data, then decide where to adjust promos, mix, and market focus.

See dataset samples
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