One website, many relevant experiences.

Personalization shows different visitors different content based on data like behaviour, location or referral source. A/B testing instead splits traffic randomly to find the single best-performing version for everyone. We typically use both together: test a variant, then personalize it for the segments it works best for.

Meaningful testing and segmentation both need a reasonable baseline of traffic to produce reliable data — we assess your current numbers before recommending what to personalize first.

Yes — behavioural and segment-based personalization can adapt what a visitor sees depending on whether they're browsing for the first time or coming back.

Yes, location and source-based personalization adjusts what a visitor sees depending on their location or which campaign or ad drove the click.

Yes — landing pages can be personalized by which specific ad or campaign brought the visitor in, so the messaging matches what they already clicked on.

Yes — A/B and multivariate testing validates a personalized variant against a control before it fully replaces the standard experience.

It's implemented with performance in mind, so it shouldn't meaningfully affect load speed — this is checked as part of the build, not left to chance.