Consumer Tech

Financial modeling for consumer tech and subscription apps

Consumer subscriptions do not churn at a flat rate. Model acquisition cohorts against a retention curve, with revenue as active users times ARPU, so month one drop-off and the long tail are both visible.

Cohorts, ARPU, retention

The problem

Why this is hard today

Consumer retention is brutally front-loaded. A large share of a cohort is gone within the first month or two, and what survives can stay for years. Apply one flat monthly churn rate to that and you get a model that is wrong in both directions at once: too optimistic about the first quarter, far too pessimistic about the tail.

What a SaaS template gets wrong

A B2B contract model assumes a customer is either in or out for a full term. Consumer users churn on a curve that depends on how long ago they joined, so a single churn percentage cannot represent them no matter how carefully you pick the number.

The drivers

What the forecast is actually built on

  1. Marketing spend by channel
  2. Installs and signups
  3. New paying users (the cohort)
  4. Retention curve by cohort age
  5. Active users
  6. ARPU

How YourCFO models it

The engine behind the numbers

  1. 1

    Cohorts, tracked separately

    Each month of new paying users is its own cohort, kept as a matrix rather than a single base number, so you can see which months are carrying the business.

  2. 2

    A real retention curve

    Retention is age-dependent. A cohort's survival at month one, month six, and month twenty-four are different numbers, and your existing user base is decayed as a cohort of its own age rather than reset to new.

  3. 3

    Revenue as active users times ARPU

    Blended monthly revenue per active user drives the revenue line, so a pricing or mix change moves the forecast directly instead of through a fudge factor.

  4. 4

    Spend-driven or direct

    Drive acquisition from a spend funnel when you are buying growth, or enter new paying users directly when you already know the number. Paid and viral loops both feed the same cohorts.

If

you put another

0k a month into paid acquisition

Then

installs and new paying users rise that month, and the revenue that cohort contributes decays along your retention curve rather than staying flat forever.

The numbers that matter

What you actually watch

Retention by cohort age

What share of a cohort is still paying at month one, month six, and beyond.

ARPU

Blended monthly revenue per active user, and what pricing or mix changes do to it.

Payback against CAC

Whether the revenue a cohort produces over its life covers what it cost to acquire.

Active user base

The net of what you acquire and what decays, which is the number the revenue line actually rides on.

The chart of accounts seeds subscription revenue, platform and payment processing cost of sales, and marketing as its own block, so acquisition cost is visible rather than buried in operating expenses.

Common questions

Questions operators ask

See it on your own numbers

Set up the model that matches your business, then watch what your next decision does to the bottom line.