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You don’t own the store, but your business depends on what happens in it.
Most CPG decisions are built on:
Factori adds a consistent outside‑in view, so you can:
Move beyond national curves and see how demand really differs by region and retailer.
Decide where to go deep, where to go light, and where not to promote at all.
Align range and pack sizes with local household, income, and usage patterns.
Aim spend at store catchments and neighborhoods that actually match your target shopper.
Choose where to launch and scale based on interest, spend, and local fit—not just intuition.
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.
Aggregated category and brand spend by market—where your space is growing, flat, or falling.
Search and commerce interest for your brands, competitors, and categories across regions.
Aggregated view of local households and workers: age mix, income bands, lifestyle indicators.
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?
Sales and category leaders working with retailerswho need error down and trust up.
Revenue growth management and pricing teamsLooking for clean, reliable visit data to plug into models and dashboards.
Trade marketing and shopper marketing teamsLooking for clean, reliable visit data to plug into models and dashboards.
Brand and growth marketing teamsLooking for clean, reliable visit data to plug into models and dashboards.
Strategy, insights, and analytics teamsLooking for clean, reliable visit data to plug into models and dashboards.
Finance partners who approve plans and investmentsLooking for clean, reliable visit data to plug into models and dashboards.
For example: next‑year planning for a priority category, a key retailer, or a set of focus markets.
Common starting point for CPG: Retail Sales + Market + People + Economic, then layer in Mobility, Places, and Business for more detail.
Compare how you plan today vs. how decisions look with real‑world data, then decide where to adjust promos, mix, and market focus.
Factori adds real-world signals like retail sales trends, foot traffic, market interest, weather, events, economic conditions, and audience behavior to improve category, brand, SKU, and market-level demand forecasts.
Shipment, retailer, and POS data show what already happened. Factori adds outside-in demand signals to explain why performance changed and where growth may move next.
Factori helps CPG teams understand local category momentum, shopper profiles, retail spend, market demand, competitor activity, and store-area context to improve assortment and distribution decisions.
Yes. Factori helps compare regions, retailers, trade areas, and consumer segments using demand density, audience fit, category trends, economic strength, and local market signals.
Factori helps teams target high-potential markets, audiences, events, and retail environments where category demand, shopper intent, and conversion potential are strongest.
Yes. Factori improves demand visibility by market and store area, helping teams plan replenishment, allocation, promo inventory, and seasonal supply more accurately.
Factori connects retail sales, mobility, market interest, audience, and local context to help teams compare exposed markets, control areas, and demand lift after campaigns.
Start with selected categories, brands, retailers, regions, or campaigns, then compare current planning against Factori-enriched forecasts for demand accuracy, distribution gains, promo lift, and retail media ROI.
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