Here is a problem every marketer eventually runs into. You run a one-month campaign around a special offer. You can see how many leads it generated and how much revenue came in that month. But nine months later, the customers from those leads are still buying, still bringing in money. So what was that campaign actually worth? Not the first month's revenue, but the full value of the customers it brought in, measured over time. Answering that question is what cohort analysis is for.
If you judge a lead-generation campaign only on the revenue it produced during the month it ran, you are seeing a fraction of the picture. The leads it brought in keep buying for months afterward, and that later revenue traces directly back to the original campaign. A campaign that looked break-even in month one might be your most profitable acquisition source once you count what those customers spent over the following year.
The catch is that this future revenue is a nightmare to see in normal reporting. You would have to consolidate multiple reports, slice revenue by date range and lead source, then reconcile the attribution to strip out duplicates, all by hand. It takes hours, and most people simply never do it, so they keep judging campaigns on first-month numbers that systematically undervalue their best lead sources.
A cohort is a group of leads defined by when they opted in and which click brought them in. Cohort analysis tracks that specific group's spending over time, so you can see not just what they were worth in the first month, but what they went on to spend one month, three months, and further out.
Wicked Reports' Cohort Analysis Report shows you, for any cohort you define:
Every lead that opted in during a chosen time frame from the same ad or source.
How much that cohort spent during the initial time frame.
How much they spent cumulatively over time afterward, at one month, three months, and beyond.
Which lead sources delivered positive or negative ROI once that full timeline is counted.
You set the parameters, a date range and the lead sources you care about, and the report does the reconciliation. At the top you get the summary numbers: total new leads, total cost, current revenue during the window, future revenue accumulated since, and total revenue over the whole span, with the revenue growth charted over time so you can see the curve.
Drop into the detail and you get current, future, and total revenue broken down by every individual ad, email, or lead source. That is where the decisions live: you can finally see which sources brought in leads that kept spending versus which brought in one-time buyers who never came back. A source that looked mediocre on first-month revenue often turns out to be your best once the long-term value is counted, and a source that looked cheap and effective sometimes turns out to bring in customers who never return.
This is the same principle that underpins new customer acquisition cost and lifetime value: what a customer is worth is revealed over time, not on day one. Cohort analysis is how you see that timeline by lead source, so you can pour budget into the campaigns that bring in customers who last, and cut the ones that only looked good in the first month.
Judging marketing on immediate revenue is how brands quietly defund their most valuable lead sources. Cohort analysis replaces that guesswork with the real long-term picture: which cohorts, from which sources, generated lasting revenue. Measure your leads over their full lifetime, not just the month they arrived, and your budget decisions get dramatically more accurate. See how it works on the platform overview, or book a demo to see your own cohorts on real data.
Cohort analysis groups leads by when they opted in and which click acquired them, then tracks how much that group spends over time. Instead of judging a campaign only on the revenue it produced while it ran, it shows what the customers it acquired went on to spend one month, three months, and further out, revealing the true long-term ROI of each lead source.
Because the leads a campaign brings in keep buying long after the campaign ends, and that later revenue traces back to the original source. A campaign that looks break-even in its first month can be your most profitable once you count what those customers spend over the following year. Judging on first-month revenue alone systematically undervalues the sources that bring in lasting customers.
You define a cohort by date range and lead source, and the report shows the group's current revenue during that window, the future revenue they accumulated afterward, and the total over the full span, broken down by every ad, email, or source. That lets you see which lead sources delivered positive ROI once long-term spending is counted, rather than only their immediate return.