Overview
A campaign experiment tracker helps growth marketers keep paid media tests organized from hypothesis to decision. This playbook installs a reusable tracker and readout template for campaign experiments, so controls, challengers, metrics, read timing, results, caveats, and follow-up actions do not vanish into meeting notes.
It is built for teams running paid search, paid social, or other acquisition tests where every experiment needs a clear business reason and a clean read. Google Ads describes campaign experiments as a way to test changes against an original campaign using a portion of traffic and budget (Google Ads Help); this playbook gives the team the operating layer around that decision.
Why you should make experiment decisions easier to read
Paid media experiments can get messy fast. A bidding test has no guardrail, a creative challenger looks promising but used a different audience, and a landing page test is still being discussed three weeks after the planned read date. The spreadsheet exists, technically. The decision does not.
This playbook keeps the experiment log honest. Each row captures the hypothesis, control, challenger, primary metric, guardrails, owner, status, planned read date, result, confidence, decision, and follow-up action. That structure helps the team separate a real winner from a noisy result, a blocked setup from a failed idea, and a good follow-up from a random next test.
It also nudges the right testing discipline. Google recommends setting a clear hypothesis tied to a business goal before running an experiment (Google Ads Help). The tracker makes that standard visible before spend, time, or attention gets committed.
Run it when paid media tests are active, when readouts are overdue, or when experiment history lives in too many tabs to trust.
Step-by-step
- 1Confirm the brand, campaign or channel scope, primary success metric, guardrails, decision owner, and whether the tracker should be reviewed once, weekly, or monthly.
- 2Install the campaign experiment tracker and readout template so the team has a durable place for hypotheses, controls, challengers, metrics, timing, results, and decisions.
- 3Add or update rows for active, recently completed, and planned paid media experiments that affect spend, conversion quality, pipeline, revenue, or launch decisions.
- 4Check each experiment for readiness by looking for a clear hypothesis, stable control, distinct challenger, primary metric, guardrails, owner, and planned read timing.
- 5Review results against the planned read window, noting conversion lag, low volume, learning periods, budget changes, audience edits, tracking gaps, promotions, or seasonality.
- 6Record the decision as scale, hold, pause, repeat, investigate, or needs more data, then capture the owner-facing follow-up action.
- 7Use the readout template for completed or decision-ready tests so the team can understand the result without rebuilding the story from raw platform screens.
Frequently asked questions
Does this replace an ad platform's experiment feature?
No. It replaces the paid media experiment tracker spreadsheet around the test: what is running, what it should prove, when to read it, what happened, and what decision was made.
Does it require Google Ads, Meta Ads, or another connector?
No connector is required for the minimum workflow. Juno can track setup, read timing, results, and decisions from user-supplied context or existing workspace materials, with platform data added later when available.
How is this different from an A/B testing roadmap?
An A/B testing roadmap ranks future test ideas. This playbook manages the operating history of paid media experiments that are planned, active, ready for readout, or already decided.
How often should the tracker be reviewed?
Use a one-time review for cleanup. Choose weekly for active acquisition programs with tests in flight, or monthly when the team mainly needs a recurring experiment history and decision review.
