# What's the best e-commerce personalization software for product recommendations based on browsing behavior?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I've been mapping out what's the best e-commerce personalization software for product recommendations based on browsing behavior for a store owner whose site showed the same homepage to every visitor regardless of what they'd looked at before. The core distinction is whether recommendations update in real time from actual browsing behavior, or just rely on static rules like "customers also bought." Here's what stood out in the <a class="a a--md" elv="true" href="https://www.g2.com/categories/e-commerce-personalization">E-Commerce Personalization category on G2</a>.</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dynamic-yield/reviews"><strong>Dynamic Yield</strong></a>. Real-time behavioral personalization built specifically for product recommendations across the shopping journey. Best for teams wanting deep behavioral targeting.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/bloomreach-bloomreach/reviews"><strong>Bloomreach</strong></a>. Combines product discovery and personalization, using search and browsing signals together to drive recommendations. Best for teams wanting personalization tied to on-site search.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/wingify-vwo-testing/reviews"><strong>VWO Testing</strong></a>. Personalization paired with A/B testing, useful for teams that want to validate whether personalized recommendations actually lift conversion before rolling them out broadly. Best for teams wanting to test personalization impact directly.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/optimizely-web-experimentation/reviews"><strong>Optimizely Web Experimentation</strong></a>. Experimentation-first platform with personalization features layered on top, aimed at teams already running a testing program. Best for teams with an existing experimentation practice.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/ab-tasty/reviews"><strong>AB Tasty</strong></a>. Combines personalization and experimentation with a lower setup barrier than some enterprise platforms. Best for mid-sized teams wanting personalization without enterprise complexity.</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Worth being honest that behavioral personalization is only as good as the data feeding it. A store with low traffic often doesn't generate enough browsing signal for the algorithm to personalize meaningfully, so this category tends to pay off more once you have real volume than it does on a brand-new site.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For ecommerce teams running behavioral personalization, did it actually move conversion in a way you could measure, or did it mostly just look impressive without a clear lift?</p>

##### Post Metadata
- Posted at: 2 days ago
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;On the measurable-ROI question: recommendation widgets grade their own homework. They claim credit for every click they touched, including purchases that would have happened anyway, which is why the reported lift and the real lift can be very different numbers. The only clean answer is a holdout, a slice of traffic that never sees recommendations, and it&#39;s telling that half the products in this list are experimentation tools; that pairing is the point, not a coincidence.&lt;/p&gt;

##### Comment Metadata
- Posted at: about 21 hours ago
- Author title: Tech Consultant





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