Repeat Purchase Rate via Email

Repeat Purchase Rate via Email measures the percentage of customers who make additional purchases after receiving and engaging with email marketing campaigns. This metric specifically tracks how effectively your email marketing drives repeat business, calculated by dividing the number of customers who made repeat purchases through email channels by the total number of customers who received those emails, then multiplying by 100. Understanding how to calculate repeat purchase rate via email helps businesses optimize their email marketing strategies and measure the long-term value of their email campaigns.

This metric is crucial for determining the effectiveness of email marketing in building customer loyalty and driving sustainable revenue growth. A high repeat purchase rate via email indicates that your email content, timing, and targeting are successfully encouraging customers to return and buy again. Conversely, a low rate may signal issues with email relevance, frequency, or customer experience that need immediate attention.

Repeat Purchase Rate via Email is closely connected to Customer Lifetime Value from Email, Email ROI, and Customer Reactivation Rate. When analyzed alongside these metrics, it provides a comprehensive view of email marketing performance and helps inform decisions about segmentation, personalization, and campaign optimization strategies.

Understanding how to calculate repeat purchase rate via email is essential for measuring the effectiveness of your email marketing campaigns in driving customer retention and additional sales.

Formula:
Repeat Purchase Rate via Email = (Number of customers who made repeat purchases after email engagement / Total number of customers who engaged with emails) × 100

The numerator represents customers who made at least one additional purchase within your defined timeframe after engaging with your email campaigns (opening, clicking, or taking action). You’ll typically pull this data from your email marketing platform combined with your order management system.

The denominator includes all customers who engaged with your email campaigns during the same period, regardless of whether they made repeat purchases. This data comes from your email marketing analytics, tracking opens, clicks, and other engagement metrics.

Worked Example

Let’s say an e-commerce store sent promotional emails to their customer base over a 30-day period:

• Total customers who engaged with emails: 2,500 customers (opened, clicked, or took action)
• Customers who made repeat purchases after email engagement: 375 customers
• Calculation: (375 ÷ 2,500) × 100 = 15% repeat purchase rate via email

This means 15% of customers who engaged with the store’s email campaigns went on to make additional purchases within the tracking period.

Variants

Time-based variants include 30-day, 90-day, or annual repeat purchase rates, with shorter periods better for fast-moving products and longer periods suitable for high-consideration items.

Engagement-level variants can focus on specific actions like click-through repeat purchase rate (only counting customers who clicked) versus open-based rates (including all opens). Click-based calculations typically show higher conversion rates but smaller sample sizes.

Campaign-specific variants measure repeat purchases from particular email types (promotional, abandoned cart, newsletters) to identify which campaigns drive the most repeat business.

Common Mistakes

Including one-time purchasers incorrectly occurs when businesses count customers making their very first purchase as “repeat” customers. Only include customers who had already purchased before the email campaign.

Misaligned timeframes happen when the email engagement period doesn’t match the purchase tracking window, leading to skewed results. Ensure both periods align consistently.

Ignoring email attribution means failing to properly connect purchases back to specific email interactions, potentially undercounting email-driven repeat purchases or including organic repeat purchases unrelated to email campaigns.

While it’s natural to want benchmarks for repeat purchase rate via email, context matters significantly more than hitting a specific number. These benchmarks should guide your thinking and help you identify when performance might be off-track, but they shouldn’t be treated as rigid targets that apply universally to every business.

Industry Benchmarks

Source: Industry estimates from email marketing platforms and retail analytics

Understanding Benchmark Context

Benchmarks provide a useful sense-check for your email repeat purchase rate performance, but remember that metrics exist in tension with each other. As you optimize one metric, others may naturally shift. For instance, if you’re aggressively targeting high-value customers with premium products, your repeat purchase rate might be lower than average, but your customer lifetime value from email could be significantly higher.

Related Metrics Impact

Consider how repeat purchase rate via email interacts with other key metrics. If you’re seeing a declining repeat purchase rate but your average order value from email campaigns is increasing substantially, you might be successfully moving customers toward higher-value, less frequent purchases. Similarly, a high repeat purchase rate paired with low email ROI might indicate you’re driving frequent small purchases while missing opportunities for meaningful revenue growth. Always evaluate repeat purchase rate alongside metrics like customer lifetime value from email, cross-sell email effectiveness, and overall email ROI to get the complete picture of your email marketing performance.

When your repeat purchase rate via email is underperforming, several interconnected factors could be at play. Here’s how to diagnose what’s driving poor email-driven repeat purchases:

Poor Email Segmentation and Timing
If you’re sending generic campaigns to your entire list, you’ll see low engagement and even lower repeat purchases. Look for high unsubscribe rates, low open rates across segments, and customers receiving irrelevant product recommendations. The fix involves implementing behavioral segmentation and trigger-based campaigns that align with customer purchase cycles.

Weak Post-Purchase Email Sequences
Many businesses focus heavily on acquisition emails but neglect the critical post-purchase journey. Signs include customers making one purchase then going silent, no follow-up engagement after initial transactions, and missed opportunities for complementary product sales. Your Customer Reactivation Rate will also suffer when post-purchase sequences are inadequate.

Product or Service Quality Issues
Low repeat purchases often reflect underlying product satisfaction problems. Watch for increased customer service complaints, negative reviews mentioning specific products, and correlation between certain product categories and lower repeat rates. This directly impacts your Customer Lifetime Value from Email as dissatisfied customers won’t respond to future campaigns.

Ineffective Email Content and Offers
Generic promotional content fails to drive action. Look for declining click-through rates, low conversion rates from email traffic, and customers opening emails but not purchasing. Your Email ROI will reflect this disconnect between email engagement and actual sales.

Frequency and Channel Fatigue
Overwhelming customers with too many emails or using only email when they prefer other channels creates resistance. Monitor increasing unsubscribe rates, declining engagement over time, and customers who open emails less frequently despite remaining subscribed.

Segment and personalize based on purchase behavior
Use cohort analysis to identify customer segments with different repeat purchase patterns. Create targeted email flows for first-time buyers, loyal customers, and win-back segments. Personalize product recommendations based on previous purchases and browsing behavior. A/B test personalized subject lines and content against generic versions to validate the impact on engagement and conversions.

Optimize email timing and frequency
Analyze your customer data to identify optimal send times for different segments. Look at purchase cycles to time follow-up emails when customers are most likely to buy again. Test different frequencies to find the sweet spot that maximizes engagement without causing unsubscribes. Use engagement metrics and conversion data to validate timing improvements.

Create compelling post-purchase email sequences
Develop automated flows that nurture customers after their initial purchase. Include thank-you emails, usage tips, complementary product suggestions, and timely replenishment reminders. Test different sequence lengths and message types to see what drives the highest repeat purchase rates within each customer cohort.

Enhance email relevance with dynamic content
Implement dynamic product recommendations based on purchase history and inventory data. Use behavioral triggers like cart abandonment or product page views to send timely, relevant emails. Test different recommendation algorithms and content formats to identify what resonates best with your audience segments.

Improve email deliverability and engagement
Monitor your sender reputation and deliverability metrics to ensure emails reach inboxes. Clean your email list regularly and use re-engagement campaigns for inactive subscribers. A/B test subject lines, preview text, and send times to improve open rates, which directly impact your ability to drive repeat purchases through email marketing.

Stop calculating Repeat Purchase Rate via Email in spreadsheets. Connect your data source and ask Count to calculate, segment, and diagnose your Repeat Purchase Rate via Email in seconds—no more manual analysis or guesswork about what’s driving customer retention through your email campaigns.