2,400+ ecom teams use CustomFit to ship faster experiments and personalize at scale. Here's what they've built — all powered by the same AI engine working behind every experience.
Bellavita replaced two legacy tools with CustomFit and shipped 47 experiments in their first quarter. PDP and checkout wins compounded into a permanent CVR gain.
Kapiva ran segment-aware experiments on PDPs across 80+ SKUs. Tier-1 mobile shoppers got a different hero, copy, and CTA than tier-2 desktop — both lifted.
Chargebee's growth team went from 2 tests / quarter to 6+ / month. Marketing-led personalization on pricing pages drove a 40% AOV jump.
Mamaearth used geo + cart-value rules to show progressive shipping thresholds. AOV moved up 8.4% with no margin hit.
A quiz-driven landing flow customized hero imagery, copy, and recommended SKU per answer. Lead quality jumped along with volume.
Diwali, Raksha Bandhan, and Valentine's collection pages auto-personalized hero, gifting copy, and bundles. Largest single-day revenue in company history.
Symphony tested price-based vs percentage-based PDP offers on their best-selling SKUs. Flat-amount framing won decisively — lifting conversions and add-to-cart on the same traffic, with no extra spend.
Every story is backed by measured revenue and conversion gains.
Results from stores like yours, not generic web case studies.
Wins are validated with proper significance, not vanity metrics.
CustomFit customers — D2C and Shopify brands across skincare, supplements, and apparel — see measurable gains: double-digit revenue-per-visitor lift, higher AOV, and faster experiment velocity. Every result comes from a controlled experiment with a holdout.
Median ranges D2C and Shopify brands see on CustomFit, by experiment type. Use them to forecast the upside of your own program. Actual results depend on traffic, baseline conversion, and testing cadence.
Benchmarks are medians across brands running 6+ experiments per quarter, measured against a holdout. Estimate your store's upside →
The highest-ROI experiments we see, mapped to the D2C categories that run them.
The synergy with CustomFit yielded statistically significant gains — personalized PDPs drove real engagement and conversion.
CustomFit.ai customer results come from controlled experiments, not vanity metrics. D2C and Shopify brands across skincare, supplements, and apparel see double-digit revenue-per-visitor lift, higher AOV, and faster experiment velocity after adopting a consistent testing and personalization program.
The pattern is consistent: find the funnel leak, test a fix against a holdout, prove the lift with statistical significance, then scale the winner. Because CustomFit ties every experiment to real orders, reported gains reflect revenue, not proxy clicks.
These outcomes compound. Brands running six or more experiments per quarter see the largest cumulative lift, as small validated wins stack across PDPs, cart, checkout, and personalized journeys.
Double-digit median revenue-per-visitor lift, higher AOV, and faster experiment velocity, all measured with holdouts against real orders.
Yes. Every result comes from a controlled experiment with a holdout and a significance threshold, not a vanity metric.
Most brands see measurable lift within their first quarter of consistent testing.
Other ways teams lift conversions with CustomFit.
Join 2,400+ growth teams running smarter experiments on CustomFit.
