Feature · A/B Testing
Visual A/B testing built for ecommerce — no developer required
Edit any element on your store with a point-and-click visual editor, split traffic with a deterministic hash, and let Netaj compute statistical significance for you. A bilingual Arabic-first alternative to VWO, Optimizely, and AB Tasty — purpose-built for Salla, Shopify, and Zid stores.
What's included
Visual no-code editor
Open your live store inside the editor and change text, colors, images, layout, or hide elements entirely — all by clicking. The variant is saved as a diff and injected at runtime, so your production code stays untouched.
Hash-based traffic split
Visitors are bucketed by a hash of their session ID plus the page URL, so the same visitor always sees the same variant on the same page within a 30-minute session — no flicker, no double-counting.
Conversion goals
Define custom goals — add-to-cart, checkout-started, purchase, signup, or any click/URL event — and tie them directly to each variant. Revenue, conversion rate, and uplift are calculated automatically.
Audience targeting
Run experiments only on the visitors who matter: filter by URL pattern, device (mobile/desktop/tablet), country, or traffic source (organic, paid, social, referral). Everyone outside the segment sees the original.
Statistical significance
Every experiment shows confidence levels, p-values, and a recommended winner only when the result clears the 95% threshold — so you stop tests with real signal, not gut feel.
Multi-variant tests
Go beyond A vs B. Run a control group against up to several challenger variants in a single experiment, with traffic split evenly or weighted however you choose.
How it compares
More affordable than VWO, simpler to set up than Optimizely, and far more visual than PostHog's code-required feature flags. Built for marketers and store owners, not engineers. Honest trade-off: if you need server-side experimentation, multi-armed bandits, or deep developer SDKs, Optimizely and VWO still have more depth.
Frequently asked questions
Do I need a developer to run A/B tests?+
No. After you install the Netaj tracker once (a single snippet, or a one-click app on Salla and Shopify), every test after that is built in the visual editor by clicking on the elements you want to change. No code, no deploys, no waiting on your dev team.
How does the visual editor work?+
You paste the URL of any page on your store and it loads inside the editor. Click any element — a button, a headline, a product image — and you can change its text, color, size, image, or hide it. Your edits are saved as a diff and applied at runtime to the visitors in that variant; your original site code is never modified.
What is statistical significance and why does it matter?+
Statistical significance tells you how likely a difference between variants is real versus random chance. Netaj computes a confidence level for every experiment and only recommends a winner once you cross 95% confidence with enough sample size. Without this, you risk shipping changes that looked better for a few hundred visitors but actually perform the same — or worse — at scale.
Can I test prices?+
Visually, yes — you can show different displayed prices to different visitors. But we recommend caution: most platforms (including Salla and Shopify) charge the cart price, not the displayed price, so price tests work best for perceived-value experiments (e.g., showing a strike-through original price) rather than charging different customers different amounts. For true price experiments, pair Netaj with a discount-code rule on your platform.
How does Netaj compare to Optimizely or VWO?+
Optimizely and VWO are mature enterprise tools with deeper feature sets — server-side testing, multi-armed bandits, personalization engines — and enterprise price tags to match (often four to five figures per month). Netaj covers what most ecommerce stores actually use: visual variants, traffic split, goals, targeting, and significance — plus native Arabic UI and ecommerce integrations the bigger tools treat as an afterthought. If you're a multinational with a dedicated experimentation team, stay on Optimizely. If you're a Salla or Shopify store, Netaj will get you running faster and cheaper.
Can I run multiple tests on the same page at the same time?+
You can have multiple experiments configured for the same page, but any single visitor sees only one of them per session. We deliberately enforce one experiment per page per visitor so the results aren't polluted by overlapping changes — the hash split decides which experiment a visitor is assigned to. If you need to test combinations of changes together, build them as a single experiment with multiple variants instead.
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