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From Complex Data to Profitable Growth: Using Cohort Analysis to Improve Course-Fill Forecasting
For an online education provider, traditional monthly reporting was masking a much longer customer journey. By analyzing cohorts and the time between key actions, we found that students could first visit the website nearly a year before starting a course and register as much as four months before the course began.
These insights changed how the organization could approach marketing timing, course planning, and demand forecasting.


How Much Should You Spend on a New Ad Network Test?
Before you decide how much you're willing to spend on a test, you should know what you're hoping to get out of it. After all, your budget should be driven by the value of the answer to your question.
The dream outcome is obvious. You discover a channel full of your ideal customers, they're converting below your CAC target, and you've found your next growth engine.
Ten or fifteen years ago, that happened more often.
Today, it rarely does.


Why We Don’t Guarantee Marketing Results to Prospects
Every week, I receive cold emails from agencies promising dramatic growth.
"We'll double your pipeline."
"We'll triple your leads."
"We'll 4X your customer acquisition."
I've also had marketing firms suggest we make similar claims in our own outreach. One even recommended taking a case study where we helped a client grow customer acquisition by 4X and turning it into a promise that we'd do the same for every prospect.
That's not a marketing strategy. It's a distortion of


Give Me a One-Handed Marketer
Businesses often want certainty from their marketing partners. Will this campaign work? Will this creative outperform the current version? Will increasing budget generate more profit?
The honest answer is... It depends.
On the one hand... Real-world marketing is messy. Markets change. Competitors change. Consumer behavior changes. Platforms change.
Anyone claiming certainty is either oversimplifying reality or selling something. That doesn't mean marketing is guesswork. Q
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