Most brands pour energy into customer acquisition, chasing new leads with ads and promotions. But here’s the truth: growth doesn’t come from one-time buyers — it comes from customers who keep coming back.
The problem is that without clear visibility into:
When customers are likely to return
Which products inspire loyalty
And what keeps them engaged
…brands miss huge opportunities to nurture repeat buyers, create smarter cross-sells, and maximize lifetime value (LTV).
How Hiro Helps
Hiro’s Retention View and Retention Deep Dive dashboards transform raw purchase data into clear, actionable insights so you can build lifecycle strategies that actually work.
Here’s how:
Product Purchase Insights
See which products generate the most repeat purchases — either individually or grouped by product keyword (e.g. “Serum,” “Cleanser,” “SPF”).
Quickly identify your stickiest product categories.
Double down on high-retention products in email flows, bundles, and loyalty perks.
Result: When brands prioritize products with the strongest retention, they see repeat orders increase and cross-sell recommendations feel far more relevant, driving higher AOV without added discounts.
Repurchase Timing Analysis
Pinpoint the average time between purchases to time your replenishment campaigns perfectly.
Example: The Cooling Body Mist has a 41% repurchase rate between days 30–60. Instead of waiting until day 60, you could:
Send a reminder at day 25 with a limited-time offer.
Trigger a loyalty points bonus if customers buy before day 30.
Test bundling the Mist with complementary products at day 25.
Result: By shifting campaigns earlier, brands often pull forward the next purchase cycle by a full week or more, meaning more orders per customer per year — all without additional acquisition spend.
Lifetime Value Analysis
Break down customer LTV by first-order product or product keyword to understand which products deliver the most value long term.
Measure LTV at 30, 60, 90, 180, and 365 days.
Spot patterns like “customers who start with serums are worth 2x more after 12 months than those who start with cleansers.”
Result: With these insights, brands prioritize acquisition around high-LTV products, ensuring that marketing dollars go toward customers who stick around — creating a retention strategy that is both predictable and scalable.
From Insights to Action
Here’s what that looks like in practice:
Automated Replenishment Campaigns
Time your lifecycle messages to hit before customers churn, boosting repeat orders.Cross-Sell Strategies
Suggest complementary products based on actual purchase patterns, raising AOV without feeling salesy.Loyalty Program Optimization
Reward high-frequency buyers with perks and early access, turning loyalists into advocates.
Results You Can Expect
When retention is guided by data, every interaction becomes more intentional. Campaigns land at the right time, product suggestions feel relevant, and loyalty programs reward the customers who matter most.
Over time, this creates a compounding effect: customers buy more often, spend more with each purchase, and develop a deeper connection to your brand. Retention stops being an afterthought and becomes a predictable growth engine that turns first-time buyers into long-term advocates.