Is your site quietly killing conversions?
Fix it fast with our 150-Point CRO Checklist:
• Find out what’s broken
• Learn how to fix it (and turn clicks into cash)
• Use the same tactics that drove $4B+ in ecommerce revenue
What is First-Time Buyer Rate?
First-time buyer rate measures the percentage of total customers in a period who are making their first-ever purchase with your brand. It’s a key acquisition indicator.
Why First-Time Buyer Rate matters?
This metric shows how well your acquisition channels are performing and how much of your revenue comes from new customers. High first-time buyer rates can signal effective marketing but may also indicate over-reliance on acquisition if retention is weak. In ecommerce, balancing acquisition and repeat business is critical for sustainable growth.
How First-Time Buyer Rate works?
First-Time Buyer Rate = (Number of First-Time Buyers ÷ Total Customers in Period) × 100%. Segmenting by channel, campaign, and product line reveals which sources are driving new customer growth.
Example in ecommerce
A beauty brand launches a TikTok ad campaign that drives first-time buyer rate from 30% to 45% in one month. However, retention analysis shows only 20% of these customers return. The brand implements post-purchase nurture emails to increase repeat purchases.
Common mix-ups
First-time buyer rate is not the same as new customer acquisition rate over a lifetime, it focuses on a specific period.
Best practices
- Track by acquisition source to assess channel performance.
- Pair with retention metrics to balance growth.
- Use welcome offers to encourage high initial basket sizes.
- Segment first-time buyers for tailored follow-up campaigns.
- Monitor repeat purchase rates for this group over time.
- Avoid over-discounting, which can attract one-time bargain hunters.
- Test onboarding flows to increase engagement.
Industry benchmarks
- Healthy ecommerce brands often see 20-40% first-time buyer rates per month, depending on maturity.
Related terms
You made it all the way down here?
Might as well give us a shot, right? It'll change the way you approach CRO. We promise. In fact, our friend Nate over at Original Grain used element-level revenue data from heatmap to identify high-impact areas of his website to test, resulting in a 17% lift in Revenue per Session while scaling site traffic by 43%. Be like Nate. Try heatmap today.
