The Purchase Frequency view tells you how often customers buy from you after their first purchase. It helps you understand whether new customers remain one-time buyers or become loyal repeat shoppers.
Why Is It Important?
One-time buyers highlight acquisition success but possible retention gaps.
Repeat buyers signal loyalty and long-term customer value.
Tracking frequency helps identify growth opportunities through upselling, cross-selling, and retention campaigns.
How to Read the Dashboard
Acquisition Period – Choose when the customers first joined (e.g., June–Sept 2025).
Group By Options – Switch between Week, Month, Quarter, or Year to adjust the analysis.
Transaction Categories – The table shows how many new customers made:
1 transaction (first-time only)
2 transactions (came back once)
3+ transactions (strong loyalty)
5+ transactions (your power users).
Heatmap Colors – Darker shades indicate higher numbers of customers in that category.
Total Row – Quickly check the cumulative purchase behavior across all months.
Example Insights From the Chart
July 2025: Out of 1,490 new customers, 1,210 purchased only once, while 298 returned for multiple transactions.
High Drop-off: Most customers still remain in the 1-transaction bucket.
Loyalty Signal: A small group (9 customers) in July made 5+ transactions, showing high engagement.
How Can You Use This Data?
Marketing Teams: Spot where to invest in retention campaigns.
Customer Success Teams: Identify loyal buyers and build tailored loyalty programs.
Product Teams: Understand purchasing behavior to improve product bundles and upsell opportunities.
Quick Tips
If too many customers stay at 1 txn, run targeted win-back campaigns.
Encourage 2nd and 3rd purchases with incentives like discounts, offers, or reminders.
Track 5+ txn customers separately — they are your best advocates and highest-value segment.
In Summary
The Purchase Frequency view is your guide to customer loyalty. Use it to see how many customers return after their first purchase and identify where to improve retention strategies.
👉 Next Step: Leverage this data to design targeted campaigns that turn one-time buyers into repeat customers.