Juno's customers already came back. They just didn't need 20% off to do it.
Kept the same repeat rate while cutting discounted orders from 78% to 32%, adding 63% more profit per customer.
Every brand in our case studies is a fictional example brand, including Juno Formulas. The numbers are modeled from realistic Shopify and Klaviyo data to show the kind of improvement we help brands make. The method is the one we use with clients.
The situation
Juno's numbers looked great: 44% of customers came back within 90 days and email drove 41% of revenue. The problem was underneath. Almost four in five repeat orders came with a discount of 15% or more.
This might be you if
- Your repeat rate is good but margins keep shrinking
- Customers wait for your next sale before they reorder
- Your best customers get the same coupons as everyone else
What we found
Discounts everywhere
Reorder reminders, win-backs, subscriptions and weekend sales all came with 15% to 25% off, often stacked with free shipping and points.
Paying loyal customers to do what they'd do anyway
VIPs who would have bought at full price still got coupons.
Customers learned to wait
Full price started to look like the wrong price.
What we built
- Simple offer rules: a discount only when price is the real reason someone isn't buying
- Full-price reasons to reorder: results timelines, routines and bundles
- VIP perks like early access instead of coupons
- Subscription value without extra discounts on top
- Every change tested against a group that didn't get it, so the gain is real
The result
Almost the same number of customers came back, but most of them now paid full price. Profit per customer went up 63%.
The takeaway for your brand
Retention isn't only about how many come back. It's also about what it costs you to bring them back.
Some of the emails we wrote
Free retention call
Could your brand grow like Juno Formulas?
Book a free 30-minute call. We'll look at your repeat purchase rate, your flows and your offers together, and put a number on what's being left on the table. You leave with one or two early observations and a straight answer on whether a deeper audit is worth it.