What is Product vs Marketing Analytics?
Two lenses on the same users: product analytics studies in-app behavior and retention, marketing analytics studies acquisition and channel return. Sharing taxonomy and user IDs keeps both lenses pointed at one truth.
Related terms
Attribution
Assigning conversion credit across touchpoints. SEO often assists early and gets undervalued by last-click models, so compare assisted and data-driven views before judging the channel.
Conversion Rate
Visitors completing a goal divided by total visitors. The metric that turns traffic into money; intent-matched pages convert multiples higher than mismatched ones at equal volume.
Engagement Rate
The share of sessions with meaningful interaction (time, scroll, events, conversions). GA4’s headline quality metric replacing bounce rate for most analysis.
Funnel Analysis
Measuring stepwise conversion through an ordered series of events to find where users drop off. Funnels turn vague activation complaints into a specific step with a specific leak to fix first.
Autocapture
Automatic collection of clicks, pageviews, and form interactions without per-element instrumentation. Fast to start but noisy: retroactive data comes with vague names and mystery events that explicit tracking would have labeled.
Explicit Events
Hand-defined tracking calls placed at meaningful product moments: signup completed, checkout started, invite sent. Explicit events cost engineering time upfront and pay back in clean names and trustworthy funnels.