How good is Gemini 3.8 Flash at commerce?
Gemini 3.8 Flash Medium tied our previous winner of 3.7 High, but higher thinking on 3.8 was not all that good
13 articles
Gemini 3.8 Flash Medium tied our previous winner of 3.7 High, but higher thinking on 3.8 was not all that good
In a randomized A/B test, thousands of customers who received a Signals text after delivery repurchased 37% more often after four weeks than a holdout that got nothing. Among customers who replied, the lift was 74%. All this without the need for discounts or ad spend.
Gemini 3.7 Flash High matched our production Gemini 3.5 Flash configuration on 35 customer-agent tasks while cutting Standard-tier cost per run by 52%.
We benchmarked Gemini 3.5 Flash-Lite against Gemini 3.1 Flash-Lite and Gemini 3 Flash Preview on an e-commerce catalog agent. The newer model cost more and passed fewer tasks end to end.
In a completed A/B test across thousands of customers, each Signals conversation with a Jordan Craig customer added an estimated $30 in repeat revenue within two weeks of the post-delivery check-in, measured against a randomized holdout.
A post-delivery text thread that remembers the exchange, the gift recipient, and the product a customer was already eyeing stops being a delivery check-in and starts earning revenue, conversation after conversation.
In a randomized experiment across 1,910 customers, Signals lifted repeat purchases by 16% at 3 weeks. Among customers who engaged in post-delivery conversations on iMessage and RCS, repeat purchase rates were 51% higher.
How building a one-to-one relationship with every customer differs from broadcast SMS, support ticketing, and self-serve return portals.
A 2026 comparison of Gorgias, Zendesk, Intercom, Gladly, Re:amaze, and Signals for apparel brands. Helpdesks, chat suites, and personal customer relationships through concierge texting.
A 2026 comparison of Attentive, Postscript, Klaviyo, Yotpo SMSBump, Emotive, and Signals for apparel brands. Marketing broadcasts vs two-way conversations.
A 2026 comparison of Loop, Narvar, AfterShip, Happy Returns, ReturnGO, and Signals for apparel brands. What each tool does best and where the personal customer relationship fits.
E-commerce made returns frictionless by eliminating the moment to help. Proactive SMS gives that moment back.
How proactive post-purchase engagement can prevent returns, convert refunds to exchanges, and build customer loyalty in e-commerce.