Acquiring a new customer costs 5-7x more than retaining an existing one. If customers aren't returning, you're on a treadmill. This audit identifies exactly why customers aren't coming back, and gives you a precise plan to change that.
A deep-dive into your customer base to uncover why repeat purchases are lagging.
To identify the root causes of customer churn and build a data-backed retention strategy.
High acquisition costs coupled with flat revenue due to low repeat purchase rates.
Win-back campaigns, loyalty program design, and acquisition channel reallocation.
Exactly how to keep your best customers, improve retention, and win back those who are slipping away.
What behaviors and patterns are linked to customers leaving.
Which customer segments are most valuable and deserve more attention.
Which customers are showing signs they may leave.
Where your retention is falling short and where improvement is possible.
What behaviors and strategies are most likely to bring customers back.
Which customer behaviors and acquisition sources contribute to higher lifetime value.
We map exactly what brings them back using behavioral data.
Data Analyzed: Acquisition channel vs. repeat purchase behavior.
Not all new customers are equal. We analyze which acquisition channels bring customers who return and purchase again versus those who buy once and leave. This reveals which channels are generating stronger retention and long-term customer value.
Data Analyzed: 30-day, 60-day, and 90-day customer retention.
We measure how many customers come back and purchase again after their first purchase. We compare your retention rate with a relevant benchmark to show where you stand and how much additional revenue you could unlock by getting more customers to return.
Data Analyzed: Recency, Frequency, and Monetary value for all customers.
We segment your entire customer base into 8 behavioral groups: Champions, Loyal, Potential Loyalists, At-Risk, Hibernating, Lost, New, and Promising. Each segment receives a specific retention action based on their purchasing behavior.
Data Analyzed: Purchase history, purchase frequency, recency, and engagement behavior of customers who stop buying.
We identify the common behaviors and patterns that appear before customers stop purchasing. This helps us find customers who are showing strong signs of leaving, so you can reach them before they become inactive.
Data Analyzed: Customer browsing, product views, and cart activity between purchases.
We track what customers do after their purchase and before they buy again, including what they browse, what they add to cart but don't purchase, and where they stop engaging. This helps us understand what may be preventing customers from coming back.
Customer Retention Report (7-10 pages)
Full analysis with segment-by-segment breakdown, retention trends, churn patterns, and key findings.Segmented Customer Database (CSV)
Every customer labeled by RFM segment and churn risk, ready to upload to Klaviyo, Mailchimp, or your preferred marketing platform.Churn Risk List
Specific customers showing high-risk churn signals, with recommended re-engagement approaches for each segment.Retention Strategy Recommendations
Tailored strategies for each customer segment, including re-engagement ideas, loyalty opportunities, and retention improvement actions.45-Minute Strategy Call
Review the findings together and build your 30-day retention action plan.2 Weeks Email Support
Guidance as you begin implementing your retention strategies.Turn your retention audit into an automated customer retention system. We can connect your customer data and automatically monitor RFM segments, churn signals, retention trends, and repeat-purchase behavior, so you can act before valuable customers leave.
Stop manually checking customer segments and retention metrics. See who is becoming inactive, which segments need attention, and how retention is changing over time.
Everything you need to know.
One-time investment · Delivered in 7–12 days