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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 helps CPG brands improve demand forecasting, category planning, assortment strategy, shopper marketing, retail media, promotion planning, distribution strategy, and market expansion using retail sales, mobility, people, market, events, and economic data.
CPG teams use Factori for category demand forecasting, brand performance tracking, market prioritization, retail media planning, promotion measurement, assortment planning, distribution strategy, shopper audience targeting, and competitive analysis.
Factori helps CPG brands identify growth markets, improve forecast accuracy, reduce out-of-stocks, improve promotion ROI, optimize distribution, strengthen retailer conversations, and explain category or brand performance shifts
Factori data is available through CSV, APIs, the Factori platform, or MCP-enabled workflows. It can connect to retailer data, POS data, syndicated data, retail media platforms, category dashboards, marketing analytics, and forecasting models.
Factori normalizes external consumer, retail, market, and location data into privacy-safe, aggregate insights. Data is structured for responsible CPG analytics, retail media measurement, category planning, and market strategy.
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