Transactional Database (RFM)

Transactional Data - Woman Shopping with credir card using her phone

Each month FocusOn RFM captures 75 million TRUE transactions totaling $2.5 BILLION spent.

The best predictor of what a consumer will purchase in the future is what they have purchased in the past.   Our FocusOn RFM – Recency / Frequency / Monetary – database is a 100% true transaction database (not modeled or inferred data) with all transactions reported from point of sale for 62 million households.  FocusOn RFM is a dynamic new-to-market database that will identify the best potential prospects for your marketing efforts. More than 4.5 billion transactions from more than 1,500 catalog, retail, and web merchants have been rolled up into 50+ categories and over 1,000 subcategories. Each category and subcategory has the date of purchase, number of transactions, dollars spent, and purchase channel attached to it, all of which are selectable.

In addition, each consumer on our database has been assigned a Shopper Score based on their purchasing activity including the number of transactions, dollars spent, and other factors. This score not only enables mailers to find their best future customer but can be used to reactivate past customers.

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12 Month Hotline
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Monthly Hotline
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3 Month Hotline
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Merchants
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True Transactions (per month)
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Households
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Amount Spent (per month)

Our Transactional Lists

What is FocusOn RFM?

RFM - 10 Billion Point Of Sale Transactions
4.5 Billion Point Of Sale Transactions
RFM - Shopper Score (based on Purchasing Activity)
Purchasing Activity
RFM - Channel Preference (Retail, Web & Catalog)
Channel Preference (Retail, Web & Catalog)
RFM - Predictive Buying Behavior/Patterns/Trends
Predictive Buying Behavior/Patterns/Trends

Need to know

All RFM records are 100% Point of Sale — it’s not inferred, not modeled,  but rather generated 100% on actual transactions!

New Transactions are add monthly to the RFM database

Individual transaction categories available include:

  • Women’s and Men’s Apparel
  • Appliances
  • Automotive
  • Products
  • Children’s Products
  • Cosmetics
  • Designer Products
  • Electronics
  • Health Products
  • Home Products (Domestics, Furniture, Decor, Kitchen)
  • Jewelry
  • Pet Products
  • Religious Products
  • Sports Equipment

Shopper Score is based on the individuals purchasing activity including number of transactions, dollars spent, and other factors compared to total U.S. buying population

By utilizing our RFM Transactional Database you can reactivate lapsed customer by leveraging their purchasing potential.

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