Shoppers trust other shoppers. Reviews, live activity, and genuine scarcity reassure the undecided and nudge them to act. See what adding social-proof cues is worth on your site.
What is social proof worth?
Pick the cues you'd show and estimate the conversion lift they add. Adjust the inputs to match your site.
Estimates only — built to show the value of social proof, not a performance guarantee. Cues must be genuine; fake scarcity or reviews erode trust and can backfire. Lift ranges are grounded in published benchmarks.
Most hesitation is uncertainty: is this any good, is this store legit, will I regret it? Social-proof cues answer those doubts with evidence from other shoppers — so more of the undecided convert.

Live sales counts and real recent purchases prove other people are buying — the most persuasive cue for an undecided shopper.
Live purchase notifications and genuine low-stock signals validate demand and nudge on-the-fence shoppers to act now.
Cues overlap, so each extra one adds a little less. The calculator accounts for this rather than simply adding them up.
Personyze shows live, genuine social-proof cues — recent purchases, view counts, stock levels, ratings — driven by real behavior and your live catalog, targeted to the right visitors. Built in a visual editor, no developer required.
See the revenue you recover by serving each visitor the banner that actually fits them.
Open calculator → RecommendationsEstimate the lift from bigger baskets, better discovery, and repeat purchases.
Open calculator → A/B testingSee what a single test is worth — the revenue you leave on the table by guessing.
Open calculator →We apply a benchmark conversion lift for each social-proof cue you select, combine them with diminishing returns since cues overlap, and apply the result to your traffic, conversion rate, and order value. That gives the added orders and revenue per month and per year.
Live sales counts and real recent-purchase notifications carry the most weight because they prove demand. Genuine low-stock signals accelerate on-the-fence shoppers, live viewer counts signal popularity, and trust badges give a smaller, steady reassurance. The lift is also larger for higher-priced, higher-consideration purchases, for less-familiar brands, and for first-time visitors.
No — and it backfires. A large share of shoppers can detect manufactured urgency or fake reviews, and it erodes trust in the brand. Social proof works precisely because it's credible, so cues should always reflect real data.
No. Personyze shows live, genuine social-proof cues through a visual editor on top of unified visitor data and your live catalog, so marketers can launch them without engineering work.
Reviews, live activity, and genuine scarcity answer the doubts that stall a purchase — so more of your visitors convert, with cues drawn from real data.