# Which personalization engines are rated highest for conversion uplift, based on user reviews?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Question for the reviewers and researchers here, with one honest caveat up front: every engine claims conversion uplift, and G2 ratings measure satisfaction, not lift, so "rated highest for uplift" really means whose reviewers keep crediting the tool with conversion gains in their own words. On that basis, the current G2 ratings picture in the<a class="a a--md" elv="true" href="https://www.g2.com/categories/personalization-engines"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/personalization-engines">Personalization Engines</a> category:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/bloomreach-bloomreach/reviews"><strong>Bloomreach</strong></a> (4.6, 735+ reviews): the largest review base of the pure personalization plays, with reviewers repeatedly connecting its recs to engagement and conversion outcomes.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/nosto/reviews"><strong>Nosto</strong></a> (4.6, 235+ reviews): matches Bloomreach's rating with a smaller-merchant reviewer profile, where uplift claims are most concrete.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dynamic-yield/reviews"><strong>Dynamic Yield</strong></a> (4.5, 155+ reviews): reviewers describe revenue-driving personalization, with its 9.4 recommendations score the standout.</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> (4.2, 405+ reviews): the one whose method proves uplift rather than promising it, every gain arrives with a test behind it.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/adobe-target/reviews"><strong>Adobe Target</strong></a> (4.0, 65+ reviews): the enterprise ecosystem play; its rating sits on a small review base relative to its footprint.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Also frequently queried alongside these:<a class="a a--md" elv="true" href="https://www.g2.com/products/kameleoon/reviews"> </a><a class="a a--md" elv="true" href="https://www.g2.com/products/kameleoon/reviews"><strong>Kameleoon</strong></a> at 4.6 (135+ reviews).</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">On what basis would you actually credit a tool with uplift, its own dashboard, a holdout test, or something harder?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p>

##### Post Metadata
- Posted at: 24 days ago
- Author title: Tech Consultant
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;I’d only credit the tool after a holdout test. A personalization dashboard can tell you what happened after recommendations were shown, but not necessarily what would have happened without them. That’s where Optimizely’s experimentation angle gets interesting: proving incremental lift is a different job from reporting conversions.&lt;/p&gt;

##### Comment Metadata
- Posted at: 24 days ago





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