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See where consumer spend

The Aggregated Spend dataset gives you indexed consumer spend and demand signals per hex cell, spend index, category penetration, brand affinity and purchase frequency. Use it to see where spend is growing, which categories are winning, and how your key markets are really behaving.

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Understand how people spend in the physical world

Spend index by category and brand

How far consumer spend in a category sits above or below the national average and how that spend is distributed across brands.

Brand affinity

Which brands shoppers gravitate toward in a given area, observed behavior, not modeled guesswork.

Category penetration

How deeply a category or brand has taken hold in a given market, hex by hex.

Online vs. offline mix and purchase frequency

The split between digital and in-store spend and how often shoppers return to a category by market, down to H3 resolutions r6–r9.

Why teams use spend data

See beyond your own four walls

Understand total category behavior, not just your own sales, so you can size the true opportunity.

Spot market shifts early

Identify where categories are heating up or cooling down before it shows up in lagging internal reports.

Benchmark performance

Compare your trends against the broader market to see if a problem is local, category‑wide, or competitor‑specific.

Support better planning

Give demand planning, marketing, and finance a shared view of where spend is actually moving, grounded in observed behavior, not survey panels.

Make data-backed physical world decisions

Demand Forecasting

Feed market-level spend index, category penetration, and brand affinity into demand models as an external signal, so forecasts can explain shifts that internal sales data alone would only show after the fact.

Category & assortment planning

Allocate shelf space and merchandising emphasis to categories and brands with rising spend index and penetration in a given market.

Pricing & promo strategy

See how competitor spend is trending and where promotions are actually moving the spend index, not just driving short-term volume.

Market selection & expansion

Pick markets for new stores, campaigns, or investment based on observed spend concentration, not guesswork.

Retail media & measurement

Use spend-based outcomes not just impressions or clicks to evaluate campaigns and inform next-cycle media planning.

Made for data teams that don’t run blind

Data & analytics teams

Looking for clean, external sales signals to add into models and dashboards.

 Making decisions on space, mix, and featured brands.

 Planning where to focus budgets and how to tailor messaging by market.

Assessing market health, competitive dynamics, and investment opportunities.

How Retail Sales works with other datasets

Retail Sales + Mobility

Retail Sales + Places

Retail Sales + People

Retail Sales + Market

Retail Sales + Economic

Choose your markets and categories

Tell us which regions, categories, and brands you care about.

Review a sample

Explore how spend, share, and momentum look across a few key markets.

Roll out to more teams

Connect Retail Sales to your planning, analytics, and marketing workflows.

Frequently Asked Questions

What is Factori's Aggregated Spend data?

It shows where consumer spend concentrates across brands, categories, and markets as indexed demand signals, not reported revenue.

 

What spend signals does Factori include?

Spend index, category penetration, brand affinity, online vs. offline mix and purchase frequency.

How is this different from our internal sales data?

Internal sales show your own performance. Aggregated Spend shows broader market demand, so you can benchmark against category and brand trends.

How does this improve demand forecasting?

It adds external spend and category signals to help forecasts explain market shifts before they show up fully in internal sales.

How can it support category and assortment planning?

Teams can see which categories and brands are gaining spend momentum in each market, then adjust space, mix, and emphasis accordingly.

Can it help with pricing and promotions?

Yes, it shows where promotions are moving spend and where competitor or category spend is shifting.