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Analytics & Reporting

Analytics & Reporting — Overview

Personyze reports on two things: what your visitors do on the site, and what your campaigns did about it. This overview maps where each number lives so you…

2 min read Updated 17 hours ago

Personyze reports on two things: what your visitors do on the site, and what your campaigns did about it. This overview maps where each number lives so you know which screen to open for which question.

Where the numbers live

  • Account Overview — the top-line snapshot for the whole account: visits, impressions, clicks, conversions, and attributed revenue over your reporting range. Start here for “how are we doing overall?”
  • Campaign Performance tab — per-campaign and per-action results: the shown → viewed → clicked → goal funnel, engagement, and the revenue a campaign influenced. This is where you judge a single campaign.
  • Live Activity — visitors on your site right now, with the actions firing for them. Use it to confirm a launch is working and to watch behavior live.
  • Metrics definitions — exactly what each term means (impression vs. delivery, shown vs. viewed, goal rate), so numbers are read the same way across your team.

Make the numbers meaningful

Reporting is only as good as your goals. Define what counts as success in Conversion Tracking — ideally a purchase goal with the order total as its value — so every report can show attributed revenue, not just clicks. Goals defined once are reused across every campaign and audience.

Send data to your own analytics

Personyze can forward campaign events to the analytics stack you already use — Google Analytics 4, GTM data layer, Segment, Tealium, Klaviyo — configured under Settings → Site profile → Analytics. That way personalization impressions and conversions show up alongside the rest of your reporting.

How to read a result honestly

  • Watch rates (goal rate, click-through) rather than raw counts when comparing campaigns of different sizes — but ignore rates on tiny samples.
  • Compare against a baseline: an A/B test tells you what personalization added versus doing nothing.
  • Give a campaign enough traffic and time before drawing conclusions.
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