I helped a B2B manufacturer and distributor recover declining sales by building RFM-based segments, prioritizing high-value customers, and launching a WinBack test that converted dormant accounts.
This case study focuses on a distributor that sells technical rescue gear, PPE, and tactical equipment. Despite a strong product assortment and loyal customer base, sales had softened and the team lacked a clear view of customer value and engagement.
Customer attrition was rising, and the sales and marketing teams didn’t have a unified way to see who was a Champion, who was At Risk, and who was truly Lost — which made it difficult to prioritize outreach or design targeted WinBack efforts.
• Model: B2B eCommerce + Inside Sales
• Target Audience: Fire/Rescue, Tactical, Government
• Challenge: Sales softening vs prior growth trend
• Gaps: No RFM segmentation, limited visibility into who is at risk or lost among their core, target audience
Here’s how I structured the engagement: first, make the customer base visible through RFM segmentation; second, focus on the highest-value customers; third, design a repeatable WinBack program that can scale.
Build an RFM model to classify customers into Champions, Loyal, Recent, New, At Risk, and Lost, so the team can clearly see who to nurture and who to win back.
Separate target from non-target customers and focus first on the segments with the highest AOV and strategic importance, winning back Lost and At-Risk target accounts.
Design and test a WinBack campaign using personalized email outreach, measure quote-to-order behavior, and build a playbook that can scale via CRM and Outlook automation.
Recency, Frequency, and Monetary scoring makes it possible to grade every customer based on how recently they purchased, how often they purchase, and how much they spend. This gives us visibility into who is worth nurturing, who is at risk, and who we should win back. Scale used was 1-5, with 1 being lowest and 5 being highest.
How recently a customer placed an order.
Customers who ordered recently are more likely to reorder.
How often a customer buys. Repeat purchases signal loyalty potential.
How much a customer has spent.
Higher spenders are more valuable to retain and nurture.
Customers who have bought recently, buy frequently, and spend the most.
Customers who bought recently, buy frequently, though spend less than Champions.
Customers who bought recently, though less frequently and have 2+ orders.
Customers who first purchased in last 90 days, with no more than 2 orders in 90 days.
Customers with low recency scores, and average frequency and monetary scores.
Customers who have the lowest recency, frequency and monetary scores.
A 4.7% WinBack rate isn't a mass-email number. It's what happens when personalized outreach goes to specific, dormant, high-AOV accounts instead of the whole list. Visibility into who mattered came first; the campaign followed.
