Target audiences by behavior, traffic source, and device, author the experience in the same visual editor as your tests, and let a built-in holdback prove the lift in conversions and revenue. Most personalization tools can’t answer whether it worked. This one can.
Plain-language rules: pages visited, new vs returning, session count, traffic source (first-touch and current), device, past conversions, even membership in an A/B variant.
The same click-to-edit visual editor as A/B testing. Change the hero, swap sections, or drop in dynamic values like {{first_name}}.
A slice of the matched audience (10% by default, adjustable) keeps the original page. That control group is what makes the result provable.
Personalized vs holdback: conversions and revenue per visitor, significance tested. You’ll know if the personalization earns its keep, or doesn’t.
Because under the hood, it is one: same identity, same statistics, same honesty.
Visit history, session count, new vs returning, UTM and referrer (first-touch and current), device, and past goal conversions. Compose rules in a visual builder.
Every personalization measures itself against its own control group, a capability usually reserved for enterprise tools. Lift or no lift, you get a number, not a feeling.
"Hey {{first_name}}" from a URL parameter, a cookie, or your Google Tag Manager data layer. Every tag carries a required fallback, so copy never renders broken.
Personalized experiences are authored exactly like A/B variants: click, edit, launch. Nothing new to learn, no separate subscription.
The behavioral profile lives in the visitor’s browser and rules evaluate locally in milliseconds. No server round-trip, no flicker, no profile database.
Run an A/B test and a personalization on the same page. Target popups at the holdback group. One visitor identity ties it all together.
Most personalization platforms build a copy of your visitors on their servers. OptiWolf doesn’t: the behavioral profile that drives targeting stays in the visitor’s own browser, and only outcomes (exposure and conversion events) ever reach us. Dynamic values resolve on the page and are never transmitted. It’s a simpler privacy story for your legal team, and a better deal for your visitors.
Anything the visual editor can touch: headlines, images, buttons, whole sections, plus custom CSS or JavaScript for the edge cases.
One audience per experience, by design; it keeps the measurement clean. Ship one experience per segment and they apply in a stable order.
Source, device, and UTM rules work immediately. History rules ("visited pricing twice") need a prior visit by definition; the profile starts building from the first pageview.
Every pillar rides the same snippet and the same measurement spine, so they compound: target popups by test variant, personalize for popup subscribers, and read it all in one place.
Because you do: their source, their history, their device. Personalize with proof, from the free plan up.