You launch an ad. It performs OK. You launch another ad. Maybe better, maybe worse. No system. No learning.
Structured testing compounds improvements. Each test teaches you something. Over a year: 50 tests = 50% ROAS improvement.
Testing Hypothesis
Every test should answer a specific question: "Does benefit-focused copy outperform feature-focused copy?" or "Does urgency increase CTR?" or "Does video ads convert better than static?"
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Start Your Free Trial →Test Duration
Run tests for 2–4 weeks. Need enough data for statistical significance. Weekly winner declarations lead to false winners.
Sample Size
Your sample size determines confidence. 100 clicks isn't enough. 1,000+ clicks per variation is better. Use Google's statistical calculator.
Testing Priority
High-traffic campaigns first. Test elements with biggest potential impact first (landing pages > ad copy > keywords). Compound winners into new tests.
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Start Your Free Trial →FAQ
How many tests should I run simultaneously?
No more than 2–3 per campaign. More creates confusion and dilutes results.
What if I'm not running enough volume for tests?
Start with industry best practices. Optimize later with data.
Should I test one element or multiple?
One element per test. Multiple variables create ambiguity about what caused the change.
How do I document learnings?
Simple spreadsheet: test name, hypothesis, results, learnings. Build a playbook.
