Customer expectations have shifted dramatically. A reply that arrives in 4 hours no longer feels acceptable when competitors respond in under 5 minutes. We analysed 18 million emails processed through Retenza across 2,400+ Shopify stores to understand how AI is reshaping what good support looks like.
The numbers behind the shift
Before adopting a revenue-protection layer, the median Shopify store in our dataset had a first-response time of 3.8 hours. After adding TryRetenza's revenue-protection layer, which surfaced the refund-risk and WISMO conversations first so teams could approve recovery drafts quickly, that number dropped to 4 minutes — a 98% reduction. More surprisingly, CSAT scores went up, not down. Customers care whether their question was answered quickly and accurately, and whether the revenue at risk in their order was protected.
What TryRetenza flags first
Order status inquiries, refund-risk checks, shipping-delay (WISMO/late-order) explanations, and pre-sale product questions now represent 71% of all incoming support emails for the typical Shopify store. These are precisely the conversations TryRetenza flags first — they carry measurable revenue at risk and follow predictable patterns, so the layer scores them, pulls Shopify order context, and prepares a human-reviewed recovery draft. Our model surfaces these categories with 96.4% accuracy.
Where humans still win
Complex complaints, escalations, unusual refund disputes, and anything involving genuine empathy at scale still benefit from a human touch. Retenza's confidence scoring is specifically designed to route these to agents. The goal isn't to remove humans — it's to free them for the work that actually requires their judgement.
What comes next
Voice support, WhatsApp, and Instagram DMs are the next frontiers. The same intent detection and Shopify data layer that powers email replies will extend naturally to these channels. Expect to see Retenza expand beyond email over the coming months.