# Which personalization engines let marketers update content with a no-code visual editor?

<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 marketers on G2 who would rather update the website themselves than wait on a developer: which personalization engines actually let you change content through a no-code visual editor, no tickets, no waiting your turn? </p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Doing it yourself is the whole promise of no-code platforms, so I am checking it against reviewer data. 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>, three are known for putting the editor in marketing's hands:</p><ul>
<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): built around campaigns a marketer assembles visually, from content variations to audience rules, with website personalization rated 92% on G2's feature data.</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, 410+): its visual editor comes from years of experimentation heritage, so marketers change headlines, images, and layouts and test the change in the same motion; A/B testing rates 90%.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/adobe-journey-optimizer/reviews"><strong>Adobe Journey Optimizer</strong></a> (4.2, 185+): Adobe's entry, where marketers work a no-code journey canvas and content editing while developers manage the data underneath; A/B testing rates 88%.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For the marketers who actually got the no-code promise: how far did the visual editor take you in practice, and what was the first edit that turned out to be beyond it, a dealbreaker or just a shrug?</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: 15 days ago
- Author title: Tech Consultant
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;&lt;span style=&quot;background-color: transparent; color: rgb(0, 0, 0);&quot;&gt;From what I&#39;ve seen around, visual editors reliably handle the swap-this-headline, change-this-image, and move-this-block edits, which cover most day-to-day changes. The wall shows up the first time an edit needs data the model doesn&#39;t already have, a new attribute to target, or logic that spans pages rather than sits on one, because that quietly routes back to a developer, no matter what the demo showed. So the useful test of no-code here isn&#39;t editing content, it&#39;s whether a marketer can launch a new audience or rule without a data change, since that is where self-serve usually ends. The first blocked edit is the tell: if it sends the workflow back into a ticket queue, the no-code promise was really front-loaded onto the easy changes.&lt;/span&gt;&lt;/p&gt;

##### Comment Metadata
- Posted at: 13 days ago
- Author title: Marketing





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