Testing, personalization, search, recommendations, heatmaps, product feeds, cart recovery, pricing and reviews. Each tool is described in our own words, with a link to its official site.
What a featured listing costs · from $199 a month
Optimizely is one of the older names in website testing. Its web experimentation product lets a team change a page in a visual editor or with code, split traffic between…
VWO started as a visual A/B testing tool and grew into a conversion suite. In one account you can run A/B, split URL and multivariate tests, watch session recordings, look…
Dynamic Yield, owned by Mastercard, is a personalization platform used by large retailers, grocers and restaurant chains. It decides what each visitor sees in a given slot on a page,…
Algolia is a hosted search service. You send it your product catalog, and it returns results as the shopper types, with typo handling, synonyms, filters and facets. Developers build the…
Nosto is used mostly by mid-size online stores to personalize what shoppers see. Its best-known feature is product recommendations: blocks such as "customers also bought" or "picked for you" that…
Hotjar, now part of Contentsquare, is a common first behavior analytics tool for small and mid-size stores. It records anonymized visitor sessions, builds click, move and scroll heatmaps for any…
Tools come from submissions and from our own reading. A tool must be live and on sale today.
We open the official website and confirm the tool does what our listing will say.
Each description is a short account, in our own words, of what the tool does and which store it suits.
If we can't confirm a detail, such as a Shopify app or an API, the listing says "not enough info".
A tool is listed once we have confirmed that its official site is live and that it does what our description says. Each tool sits in the one category that fits its main job, even when it covers several. We don't publish scores, rankings or prices, because prices change often and a score would be our opinion dressed up as a fact. Tools we couldn't confirm stay off the site until we can.
We don't promise lift. No tool here raises a conversion rate by itself. Results depend on your traffic, your products and the changes you make, so treat every vendor's case study as one store's story, and measure your own.
Makers can submit or claim a listing. A person checks every request. Published by Zwings LLC.
Start with the leak you can see. Pull up your analytics and find the step where most shoppers drop off: product pages that get views but few add to carts, a search box that returns nothing useful, carts that never reach checkout, or a checkout that loses people at shipping costs. The right tool is the one aimed at that step. Buying a personalization engine when the real problem is a broken mobile filter wastes money and months.
Next, look at your traffic. Testing and personalization tools need visitors to learn from. A store with a few hundred orders a month can still run tests, but each one takes longer to reach a clear answer, and small differences will never show up at all. For smaller stores, behavior tools such as heatmaps and recordings, plus fixes you can make with confidence, often pay off sooner than a full experiment program.
Check how the tool fits your platform. Most stores here run on Shopify, BigCommerce, WooCommerce, Adobe Commerce or a headless setup. A ready app or integration saves weeks of developer time, but read what it actually covers. Some apps only touch the theme, some need checkout access, and some work only on certain plans of the platform.
Measure page speed before and after. Many conversion tools add scripts to every page. A pop-up, a review widget, a recommendation block and a testing snippet can each be small, and still add up to a slower store, which costs sales on mobile. Ask vendors how their script loads, test on a real phone, and remove tools you stop using.
Be careful with attribution. Recommendation, pop-up and email tools usually report the revenue they influenced, and their methods differ. Two tools can both claim the same order. Where you can, run a holdout test: keep a share of visitors who don't see the feature, and compare. That is the only clean way to know what a tool adds.
Read how AI features use your data. Tools in this category learn from browsing, purchase and customer records. Ask where that data is processed, whether it trains shared models, how long it is kept and how consent is handled, especially for recordings, email and text messages. Privacy rules differ by region, and your consent banner has to match what your tools collect.
Plan who will run it. A testing tool needs someone to form ideas, set up tests and read results every week. A search tool needs a merchandiser to manage synonyms and ranking rules. A feed tool needs someone to watch rejected products. Without an owner, these tools drift into running on their defaults, and the defaults are rarely tuned for your store.
Finally, try it on a small part of the store first. Run one test, one recommendation slot or one cart flow, and judge it on your own numbers before you roll it out everywhere.
No. We describe what each tool does and which store it suits, in our own words, and link to the official site. There are no scores or rankings. Paid placements are marked Sponsored and do not change our descriptions.
No tool can promise that. They help you find problems, test changes and show shoppers more relevant products or offers. Any change in your conversion rate depends on your traffic, your products and the changes you make. Measure results on your own store before you trust any case study.
Prices in this category often depend on traffic, orders, contacts or catalog size, and they change often. An out-of-date price is worse than none, so each tool page links to the official site where current pricing lives.
Many small stores start with a free behavior tool to watch how shoppers use the site, plus cart recovery emails and product reviews. These work at low traffic. Full testing and personalization programs pay off more once traffic is high enough to learn from.
Use the submission form, or email us. We check every request by hand, write the description ourselves, and correct listings when a tool changes, gets acquired or shuts down.
It means we could not confirm that detail, such as a WooCommerce integration or a free plan, from the tool's own site. We leave it marked that way instead of guessing, and update it when the maker confirms.