Doug Turnbull
Category: Ecommerce
Trust converts. When shoppers find what they’re looking for, 74% go on to buy it and 62% come back to shop again. When they don’t, it costs real money: a Harris Poll survey of more than 10,000 consumers commissioned by Google Cloud found 76% of U.S. shoppers say an unsuccessful site search cost the retailer a sale outright, with 48% going and buying the item somewhere else instead — search abandonment costs U.S. retailers more than $300 billion a year. Trust isn’t abstract, either — in Baymard Institute’s most recent checkout usability study, 19% of shoppers walked away from a checkout in the past three months specifically because they didn’t trust the site with their payment info. That’s real revenue, walking out the door, for reasons that have nothing to do with price or product. For product leaders and heads of search heading into Q4, that gap isn’t a UX footnote — it’s a lever on the number you’re being asked to hit.
Here’s the thing most e-commerce teams get backwards: they optimize almost exclusively for conversion, because it’s easy to measure and it’s been drilled into everyone as the metric. Trust is harder to quantify, so it quietly gets deprioritized — even though it’s the thing actually driving the numbers leadership cares about. Search quality doesn’t just move conversion rate on a single visit. It moves the metrics that compound: cart value, repeat visits, lifetime value. In Adobe’s study on the ROI of marketing to existing customers, a shopper making a second purchase spent roughly 3x as much as a first-time buyer, and shoppers who returned three or more times spent about 5x as much per visit. Zoom out further and Bain & Company’s Frederick Reichheld found that a five-point improvement in retention can lift profit by 25 to 95%. Search is one of the few levers in the whole business that touches both sides of that equation at once. Get it right, and you’re not just improving one transaction — you’re compounding lifetime value, right as everyone’s staring down their Q4 number.
What brands often miss is that helping customers find what they want builds trust, and optimizing purely for “buy now” isn’t always the same thing. An aggressive, conversion-first approach can “win” the A/B test while quietly burning the relationship — think spammy popups, manufactured urgency, buried opt-outs. It’s not hypothetical: one study found that dark-pattern shopping experiences reliably increased perceived annoyance, and that annoyance was directly tied to lower brand trust.
Most teams aren’t running actual dark patterns on purpose. But it’s easy to back into the same outcome — an experience that converts fine in the short term while quietly training customers to treat you as a place to buy once, not the place they come back to. And that’s the real stakes here. If you want to be the destination for someone’s shopping, rather than a stop on the way to wherever the search engine or AI assistant actually sent them, trust is the thing you’re optimizing for. Conversions follow it. They don’t replace it.
In practice, that means flipping the default question search teams get asked. Instead of “did this convert,” ask “did we give the user what they wanted” — and treat conversion as a guardrail on that, not the goal itself. A few implications follow from this:
- Give search room to win on click and interest metrics, even when they don’t immediately move add-to-cart. Add-to-cart sits further down the funnel and is shaped by things search doesn’t control — product page quality, CTA placement, pricing. Holding search accountable for it anyway just obscures real progress.
- Treat conversion as a floor, not a target. Ship search improvements that measurably help people find what they want as long as they don’t hurt conversion, rather than only shipping the changes that provably lift it.
- Report trust-adjacent metrics alongside conversion — repeat search sessions, return visits, cart value over time — so leadership sees the Q4 case for search investment in numbers they already track.
Give your search team permission to optimize for trust instead of fighting for every last point of conversion. The revenue tends to follow anyway — and it’s the kind that keeps showing up quarter after quarter, not just this one. not just this one.
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