# Which ecommerce personalization engines increase average order value without being intrusive?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Hi ecommerce folks on G2: personalization is supposed to raise average order value, the amount a shopper spends per purchase, but the same recommendations that lift it can start to feel intrusive, and shoppers notice the moment that happens. So which ecommerce personalization engines increase AOV (average order value) while staying on the helpful side of that line? </p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">From<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> on G2, three are built specifically for ecommerce from my read:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/bloomreach-bloomreach/reviews"><strong>Bloomreach</strong></a>: pairs personalization with commerce search heritage, so recommendations draw on what shoppers browse and buy; its recommendation engine rates 90% on G2's feature data.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dynamic-yield/reviews"><strong>Dynamic Yield</strong></a>: known for tightly targeted recommendations and bundles across the funnel, with its recommendation engine rated 89% and website personalization at 92%.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/nosto/reviews"><strong>Nosto</strong></a>: the ecommerce-native option, with recommendations, triggered content, and personalized discounts tuned for online stores; recommendation engine rates 87%.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">The honest part nobody's landing page covers: intrusiveness is a shopper judgment, not a feature setting, and the same recommendation reads as helpful on one store and pushy on another.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For the stores measuring this: what did personalization actually do to your AOV, and where did you find the intrusive line, the recommendation, the pop-up, or the discount that made shoppers pull back?</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: 12 days ago
- Author title: Tech Consultant
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;The best personalization often feels more like good merchandising than personalization at all. That’s why Bloomreach and Nosto are interesting here: recommendations based on browsing and buying context can feel genuinely useful when the timing is right. I’d also watch repeat purchase behavior alongside AOV. That could say a lot about whether shoppers actually valued the experience.&lt;/p&gt;

##### Comment Metadata
- Posted at: 11 days ago
- Author title: Writer





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