Request a callHow to run a clean B2B marketing experiment, step by step
A clean B2B marketing experiment has a written hypothesis, one changed variable, a comparable audience, a metric chosen in advance, enough volume and time, and a decision rule. Document the result either way, because the learning is the asset.
Key takeaways
- Write the hypothesis and the decision rule before launch.
- Change one thing at a time.
- Choose a metric tied to the business outcome.
- Record the result, including failures.
The eight steps
- State the hypothesis: "If we change X, Y will improve because Z."
- Define the single variable you will change.
- Pick the audience and keep groups comparable.
- Choose the primary metric and any guardrail metrics.
- Estimate how much volume and time you need.
- Set the decision rule: what result means ship, stop or repeat.
- Run it without peeking and changing things.
- Write up the result and the next step.
Guardrail metrics
A test can lift one metric while hurting another, such as more leads of lower quality. Track a guardrail so you do not trade quality for volume.
Document everything
Keep a log with the hypothesis, setup, dates, result and decision. Teams that write it down stop repeating the same tests.
Frequently asked questions
How long should an experiment run?
Long enough to cover normal weekly cycles and gather meaningful volume. Decide before you start.
What if the result is flat?
A flat result is still information. Try a bigger change or a different lever.
Can I run several tests at once?
Yes, if they do not affect the same audience or metric. Otherwise run them in sequence.
Related service: Conversion rate optimization. See also pricing and client results.