Merchandising Analytics & A/B Testing for Shopify

You can test different collection sorting strategies head-to-head — across Kimonix's 100+ granular parameters (sales, margin, variant-level stock, returns, reviews, personalization) — to see which product ordering actually drives the most conversions and profit, rather than assuming. For example, pit a best-sellers-first strategy against a margin-weighted or returns-aware one on the same collection, and let real shopper behavior decide the winner.

Kimonix serves competing strategies to comparable groups of shoppers and measures how each performs on the metrics that matter — conversion, revenue, and engagement. Because both variants run on live traffic at the same time, you're comparing like-for-like and removing seasonality and guesswork. When a clear winner emerges, you roll it out with confidence.

Set up two ordering strategies for the same collection — say new-arrivals-first versus margin-weighted — and Kimonix splits live traffic between them and tracks which drives more conversions and revenue. You're measuring real shopper behavior on your actual store, so the winning product order is proven by data rather than chosen by opinion.

No. A/B testing is built into the app — you configure the strategies you want to compare and Kimonix handles the traffic split and measurement. There's no code, tagging, or separate testing tool to wire up, so merchandising teams can run experiments themselves and iterate quickly.

Kimonix provides ecommerce merchandising analytics at the collection and product level — conversion, revenue, sell-through, and how each sorting strategy affects them. Paired with A/B testing, that means you don't just see what happened; you can prove which merchandising decisions caused it, and know whether your sorting is genuinely helping sales rather than guessing.

Collection data and analytics show each strategy's performance side by side, so you can see which ordering produced more conversions and revenue and make the call on data rather than opinion. Once you've identified the winner you apply it as the live strategy — and you can keep testing new ideas against it over time.

Kimonix has A/B testing built directly into its merchandising engine, so you test the thing that actually matters — how products are ordered on a collection page — not just theme tweaks. Tests run on live traffic with no code, results report against conversion and revenue, and the winner deploys in a click. Brands like Goldbergh and Dossier have used it to prove merchandising lifts.

Yes — both, and they work together. You A/B test competing sorting strategies on live traffic, and ecommerce merchandising analytics report the conversion, revenue, and sell-through impact at collection and product level. It turns merchandising from guesswork into a measured, continuously-improving loop — without a separate testing tool or developer setup.