The best growth teams don’t guess. They run experiments with hypotheses, measurements, and time limits.
At some point, you’ll need to grow faster than word of mouth and founder hustle can manage. That’s when structured experimentation becomes essential. Instead of guessing which channel will work, you test them systematically and let the data decide.
Every experiment starts with a hypothesis: “If we do X, we expect Y to happen, and we’ll measure it by Z.” That’s it. X is the action (run LinkedIn ads targeting CFOs). Y is the expected outcome (generate 20 demo requests). Z is the metric (demo requests per £100 spent). Set a time limit (two weeks) and a budget (£500). Run it. Measure it. Decide.
More than that and you can’t learn from any of them properly. Most will fail. That’s the point. The ones that work become your playbook. The ones that don’t save you from wasting months and thousands of pounds on the wrong channel.
Content marketing (LinkedIn posts, blog articles, SEO). Cold outbound (email, LinkedIn DMs). Paid acquisition (Google Ads, Meta, LinkedIn). Partnerships and integrations. Community building. Referral programmes. Pick the ones that match where your customers already spend time.
A spreadsheet is fine. Columns: hypothesis, channel, budget, time period, target metric, actual result, decision (scale, iterate, or kill). Review weekly.
What good looks like: A growth team that runs three experiments every two weeks, kills the ones that don’t work without emotional attachment, and doubles down on the ones that do. After three months, they’ve found two channels that reliably produce customers at an acceptable cost.
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