Recency, frequency, monetary analysis

RFM report

We invite you to explore a non-NDA RFM segmentation report based on real data. It showcases how customer segmentation impacts monetization KPIs, highlights issues in existing models, and proposes data-driven improvements. Created for internal research, the report demonstrates how RFM can help identify top-value users, improve retention, and optimize offer targeting strategies.

🧾 guarantee of report statistical significance
Scroll to FAQ ⤵
Scroll to FAQ ⤵

faq

  • What is RFM analysis?

    RFM (Recency, Frequency, Monetary) analysis is a customer segmentation technique that evaluates how recently a customer made a purchase (Recency), how often they purchase (Frequency), and how much they spend (Monetary). It helps identify your most valuable customers and target them with tailored marketing strategies.

  • When should I perform RFM analysis?

    You should perform RFM analysis when you want to improve customer retention, personalize marketing efforts, or identify high-value customer segments. It’s especially useful for e-commerce, subscription-based businesses, or any company with repeat purchase behavior. Regular analysis (monthly or quarterly) helps track changes in customer behavior over time.