The LTV by Discount view helps you understand how your discount codes impact customer lifetime value, retention, and repurchase behavior. With this analysis, you can evaluate whether certain discounts bring in high-value, loyal customers—or just one-time buyers.
This breakdown is especially useful for identifying which promotions are worth repeating and which may be hurting your margins.
LTV for Top-Selling Discounts
The LTV for Top-Selling Discounts section shows the latest 6-month or 12-month LTV estimates for your most used discount codes, sorted by total revenue.
Each bar represents the average revenue a customer who used that discount is expected to generate over the selected period.
Note:
The 6-month LTV is based on data from your latest 6 full months.
The 12-month LTV is based on data from the last 12 full months.
Only discounts with enough orders are included in the analysis.
Retention Rates for Top-Selling Discounts
Next to the LTV chart, you’ll find the Retention and Churn Rates for each discount. These metrics help you understand how often customers return after using a specific discount.
Retention Rate shows the percentage of customers who placed at least one repeat order.
Churn Rate shows the percentage of customers who never ordered again.
These insights are crucial when evaluating how different discounts impact long-term customer loyalty.
Discounts Statistics Table
The Discount Statistics table provides detailed performance data for each discount over your selected time period.
Metrics include:
Orders – Total number of orders that used the discount.
First-time Orders – Number of first-time purchases made with the discount.
Repeat Orders – Number of repeat purchases made using the same code.
Revenue / First-time Revenue / Repeat Revenue – Total, new, and returning customer revenue.
Alongside that, you’ll find LTV and retention metrics:
6-month & 12-month LTV – Estimated lifetime value over 6 or 12 months for customers using this code.
Retention Rate & Churn Rate – Customer loyalty metrics specific to each discount.
AOV (Average Order Value) – Average amount spent per order using the discount.
First-time AOV / Repeat AOV – Order value split by first-time vs. returning buyers.
Use Cases & Insights
This view helps answer key questions like:
Which discount codes lead to high-value customers?
Are some codes attracting one-time shoppers who never come back?
Should I continue using a code that brings lots of sales, but low retention?
How does the customer quality differ between first-order discounts vs. limited-time promos?
Do customers acquired through high-value discounts have a better payback period?
For example, if “WELCOME10” brings in a high 6-month LTV and a solid retention rate, it might be worth keeping it as a recurring acquisition tool. On the other hand, if “ICON15” results in low LTV and nearly all users churn, it could be a sign that the code is encouraging unprofitable behavior.
Final Tip
Use the discount statistics table alongside your marketing performance reports to get the full picture. While a campaign may drive a large number of first-time orders with a discount, LTV data will show whether those customers are worth the investment in the long run.
Need Help?
If you’d like help interpreting your LTV data or need advice on optimizing channels for long-term growth, we’re here to support you:
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