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Acquisition Intelligence

What a customer costs, what they return, and the day they cross into profit, by channel, campaign and cohort.

See it on a sample business Interactive, on a synthetic sample business. No email needed to look.

The decision: how much a customer is worth paying for, and how fast you get it back.

Cost per acquisition is easy to hit. Cost per profitable acquisition should set the media plan, and it is almost never on the dashboard.

One arithmetic
Cost, revenue, projected value and payback as one set of figures.
Interactive
The curve below runs on a synthetic sample business.
A range, not a date
Every projected figure carries how far the evidence lets it move.
A channel is only cheap relative to what its customers turn out to be worth.

Questions It Answers

  • Which channels and campaigns produce profitable customers, not just cheap ones?
  • When does a customer from each channel break even?
  • What are this month's new customers likely to be worth?
  • How should next quarter's acquisition budget be split?

Break-even, Before You Get There

For most of a customer’s first year nothing has paid back yet, and the channel ahead now is often not the one ahead at a year. The curve says when each one crosses, and how sure that is.

Drag the slider to change how much billing the curve sees. Where two curves cross, the ranking changes.

Sets how much billing history the curve is fitted to. The horizontal axis stays fixed at one year whatever you choose, so what changes is the answer, not the view.
  • Solid band, its width: subscribers still active at that day of tenure. Wider means more people behind the number, not a wider margin of error.
  • Pale band: a 95% interval on the fitted curve, widest where the evidence is thinnest. It is how far the curve would move on a different year of customers. It cannot cover what never reached the extract.
  • Dot on the breakeven line: the day that channel covers its acquisition cost. The whisker through it is how far that date is still open to argument; one that runs off the edge is not settled by a year of tenure.

    What You Get

    Cost against return

    What each channel costs per customer, against what those customers return, cohort by cohort.

    The payback day

    When each cohort crosses into profit, including the ones that have not yet.

    Where the ranking changes

    Which channels overtake which, and when.

    What is settled

    How much billing it takes before those dates stop moving.

    What Your Data Has To Carry

    Acquisition cost by source

    What each channel and campaign cost. Monthly by channel is enough to start; campaign-level is better.

    Billing history per customer

    What each customer was charged and what settled, with dates. Daily if you have it: the curve is steepest early.

    The join between them

    Whatever links a customer to the campaign that acquired them. Where it is missing, we size the gap.

    What Is Inside The Analysis

    Chart from the sample analysis: the payback day each of four acquisition channels implies, plotted against how many days of billing history the curve was fitted to. Three of the four settle within the first weeks and hold flat; the fourth keeps sliding later as more billing arrives, past the one-year line. A pale band around each line shows how much room the evidence still leaves for the date to be wrong.
    From the sample telco analysis, produced on synthetic data.
    • Executive summary: which channels have paid back, which have not, and what the gap is worth
    • Billing to date beside the projection, per channel, and why the two rankings disagree
    • Six views of the same year, fitted to one month of billing through to six
    • The payback date each view implies, and how open it still is
    • Where the ranking changes during the year, and on which day
    • Prioritised recommendations, the limits of the analysis, and the full method

    The argument is how little it moves. In both samples the ranking is settled by the first month of billing, and most payback dates soon after. The date for a channel that barely clears its cost never settles, and the analysis says so.

    Before You Enter Your Email

    The data is synthetic, on purpose

    No customer of ours appears in it. The billing is simulated subscriber by subscriber, with lapses and purges like a real database.

    A range, not a date

    Every projected figure carries the range the evidence allows. Where a date is not settled, the analysis says so.

    Your email is not a mailing list

    We send the analysis and one follow-up. No newsletter, no sharing, and "no thanks" ends it.

    Take it away

    Get the sample value analysis

    The chart above is one view of the year. The analysis holds six side by side, fitted to one to six months of billing. Pick an industry and we send it as a PDF.

    Neither one exactly? Pick the closer. The arithmetic carries across any business that pays to acquire customers and bills them over time.

    Sample analysis only, built on synthetic data. We follow up once about running this on your own data, and not again if you are not interested. How we handle your address.

    On Your Own Numbers

    The Revenue Diagnostic runs this on your own data, beside churn and cross-sell, on one set of numbers. On its own, or as the Acquire part of AGK (Acquire, Grow, Keep), it then stays current as new billing arrives, and adds which sign-ups are likely to start paying.

    Request a Revenue Diagnostic See what the diagnostic covers