Case Studies insights.

A headline like 'three hundred percent growth' tells you almost nothing. Growth from what base, over what period, in which market conditions, with what budget change, and at what margin? The same number can describe an extraordinary achievement or a small account doubling from a low starting point during a seasonal peak. When we publish results we include the starting position, the time frame, the spend, the margin impact and what else changed in the business — because a reader making a decision needs to know whether their situation resembles the one described. Apply the same scepticism to everyone else's numbers, including ours. If the context is missing, assume it was omitted because it was unflattering, and ask before you draw conclusions.

Copying tactics from a case study rarely works, because tactics are bound to a specific market, offer, budget and moment. What transfers is the reasoning: what evidence made the team choose that move, what they expected, how they measured whether it worked, and what they would do differently. That is why our case notes spend more space on the decision than on the execution. When you read any case study, extract the decision rule rather than the action. 'They consolidated ad sets' is not useful on its own. 'They consolidated because no ad set had enough conversion volume to exit learning' is a rule you can test against your own account today, and it will tell you whether the same move applies to you.

Every real engagement involves trade offs: a segment deliberately abandoned, a channel that never worked, a price increase that lost accounts before it improved margin, a quarter spent on foundations while the revenue chart stayed flat. Publishing those makes a case study more credible, not less, because sophisticated buyers already know that clean stories are edited. It also protects the relationship, since a client who reads their own case study and recognises the honest version becomes a stronger reference. Internally, the discipline is even more valuable: teams that document what did not work stop repeating it. An organisation that only records its wins is systematically training itself to forget the most expensive lessons it has already paid for.

The most common flaw in case studies is a causal claim nobody tested. Revenue rose after an engagement, therefore the engagement caused it — while a competitor exited the market, a seasonal peak arrived and the sales team hired two people. Honest case studies name the mechanism and state the confidence level. Ideally the claim is supported by something structural: a holdout, a geo test, a phased rollout, or a metric that could only move because of the change made. Where that evidence does not exist, say so and describe the correlation plainly. This sounds like it weakens the story. In practice it strengthens the relationship, because buyers who have been oversold before recognise measured language as the mark of someone who will tell them the truth later.

Timeline is the most frequently hidden variable in published results. Structural improvements — positioning, funnel repair, SEO, retention — typically show their full effect over two to four quarters, while paid media changes show up in weeks. A case study that reports a large result without a timeline is often compressing a year of work into an implied month, which sets an expectation nobody can meet. When evaluating any provider, ask when each change was made and when the result appeared, then compare that to your own runway. Matching timeline to cash position is one of the most important decisions a founder makes, and it is far more consequential than choosing between two providers whose reported outcomes look superficially similar.