See where shoppers are actually spending

The Retail Sales dataset gives you aggregated purchase trends across brands and categories, broken down by geography. Use it to see where spend is growing, which categories are winning, and how your key markets are really behaving—beyond what you can see in your own tills.

Trusted by

Trusted by

Physical world commerce in motion

Spend by category and brand

How much consumers are spending in a category, and how that spend is distributed across brands.

Ticket and visit patterns

Average basket size and frequency trends to understand how shoppers are behaving, not just how much they spend.

Trends by market

Where spend is rising, flat, or falling—by country, region, city, or neighborhood.

Share and momentum

Simple indicators of who is gaining or losing share in each market over time.

Why teams use in-store sales 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 what’s happening in the real market.

Make data-backed physical world decisions

Demand Forecasting

Use market‑level category and brand trends as an extra signal to refine demand plans and explain shifts.

Category & assortment planning

Allocate space and emphasis to categories and brands that are gaining momentum in each market.

Pricing & promo strategy

See how competitors are performing and where promos are actually moving the needle.

Market selection & expansion

Pick markets for new stores, campaigns, or investments based on proven spend, not guesswork.

Retail media & measurement

Use purchase‑based outcomes to evaluate campaigns and inform next‑cycle 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 Retail Data?

Factori Retail Sales Data provides market-level retail spend, category, brand, purchase, share, and momentum indicators that help businesses understand where consumer spending is rising, softening, or shifting.

How can businesses use Factori Retail Sales Data?

Businesses use Retail Sales Data for retail demand forecasting, category planning, market benchmarking, assortment strategy, pricing analysis, promotion planning, retail media measurement, and competitive market intelligence.

How can Retail Sales Data improve retail demand forecasting?

Retail Sales Data adds external purchase and category signals to forecasting models, helping teams explain market shifts, competitor movement, category demand, and local retail performance beyond internal POS data.

How does Factori collect Retail Sales Data?

Factori builds Retail Sales Data from aggregated purchase, spend, commerce, retail panel, category, and market intelligence sources. The data is normalized into privacy-safe trends by brand, category, geography, and time period.

How can customers access Factori Retail Sales Data?

Customers can access using any of these options:

(1) Download a 100-row sample CSV for FREE

(2) Connect the MCP server to your AI client and query in natural language

(3) Book a 30-minute discovery call, validate fit against a specific use case.
(4) Factori Platform

How often is Factori Retail Sales Data updated?

Retail Sales Data is updated based on source cadence and market availability. Depending on the use case, updates may be monthly, quarterly, or custom-scheduled for category, forecasting, and benchmarking workflows.

Why should enterprises use Retail Sales Data instead of only internal POS data?

Internal POS data shows your own performance. Factori Retail Sales Data shows broader market behavior, category momentum, brand trends, competitive context, and spend shifts across geographies.