Measurement, reporting and optimization
Measurement, reporting and optimization tests whether you can read LinkedIn reporting correctly and act on it. Questions cover metric definitions, attribution windows, the Insight Tag and conversion tracking, and the discipline of testing.
The metric stack
Delivery metrics (impressions, reach, frequency, CPM), engagement metrics (clicks, CTR, CPC, engagement rate, video completions) and outcome metrics (conversions, cost per lead, cost per acquisition, return on ad spend, form completion rate). Report outcome metrics against the objective; use delivery metrics to explain why the outcome moved.
Attribution
The Insight Tag powers website retargeting and conversion tracking. LinkedIn attributes conversions on a post-click window and a post-view window, with defaults commonly at 30 days post-click and 7 days post-view, both configurable. Changing the window changes reported conversions, so document it before comparing periods.
The optimization loop
Give a new campaign enough time and spend to produce a readable sample before cutting it. Then work in order: audience and exclusions, then offer and creative, then bid and budget, then placement and frequency. Use Brand Lift or Conversion Lift studies when the question is incrementality rather than last-click credit.
Worked example
Two creatives: A has a 0.45% CTR at $90 cost per lead; B has a 0.62% CTR at $140 cost per lead. B wins on clicks, A wins on the metric the business buys. Keep A, and mine B for the hook that lifted CTR so it can be tested against a tighter landing page rather than discarding the insight.
Traps
Optimizing to CTR; comparing campaigns with different objectives or attribution windows; declaring a winner after a day of data; letting frequency climb past 4-6 in a small audience; reporting platform conversions as closed revenue.