Campaign Analysis Playbook

The campaign went out Tuesday. Open rates came back Thursday. Now it's Friday morning and someone's asking: "So what did we learn?"

You open Klaviyo. 22.1% open rate. 1.8% click rate. You screenshot the dashboard, paste it into a slide, and write "mobile underperformed." You've done this before. You'll do it again next week.

This is how most lifecycle marketers run post-mortems: eyeball the numbers, compare them to a benchmark you half-remember, make a slide that says "test subject lines," and move on. The meeting ends. Nothing changes. Next month, same slide, different campaign.

The problem isn't that you don't care. It's that you don't have a system that turns metrics into decisions. You know the open rate. You don't know what it cost you—or what to do about it.

This playbook does the math you skip.

• Drop in your campaign metrics and get back an analysis that compares performance against industry benchmarks—then against your own benchmarks after three campaigns. The template calculates opportunity cost in dollars: "$2,400 mobile gap" hits different than "mobile needs work." You see exactly what underperformance is costing, not just that it's happening.
• After five campaigns, pattern detection kicks in. Which segments consistently underperform? Which send times actually move the needle? What's the real cost of your Tuesday-vs-Thursday debate? The playbook spots what you'd miss staring at dashboards.
• Every analysis ends with a test recommendation—hypothesis, sample size, expected lift. Not "try a different subject line." A specific experiment you can run, with the math to know when you've learned something.

The sample shows a promotional campaign with a 19% open rate and a $3,200 opportunity gap. See how the analysis breaks down, then plug in your last send.

Stop presenting learnings. Start compounding them.