Expertise
B2C Monetization
How do you monetize a consumer product?
Consumer monetization fails for boring reasons far more often than clever ones. The offer is unclear, the paywall arrives before the user has felt the product work, the plan ladder has no reason to climb, or nobody can tell which of the last six changes moved the number. Most of the work is removing those failures in order.
The sequence that actually works
A consumer monetization programme has a natural order, and skipping ahead is the most common expensive mistake. Pricing experiments run on a broken funnel produce noise, not learning.
- Find the moment of realised value. Identify the specific action after which retention curves flatten. Everything else keys off this. Paywalls placed before it convert badly and churn worse.
- Make the free tier honest. A free tier exists to get users to that moment, not to be a permanently adequate product. If free is sufficient, paid is a donation; if free is useless, nobody reaches the moment.
- Design the offer, then the price. What the plan contains matters more than what it costs. Packaging decisions set the ceiling on pricing power.
- Instrument before you experiment. Trial start, trial-to-paid, first renewal, involuntary churn and refunds each need to be separable. Aggregate conversion hides the actual problem.
- Then price. With the funnel visible, price and plan-ladder tests become fast and cheap to run.
What separates good consumer monetization from average
- Measuring on cohorts rather than blended monthly numbers — blended revenue moves for reasons that have nothing to do with what you shipped.
- Treating involuntary churn (failed payments, expired cards) as a product problem. It is often the single largest recoverable leak and nobody owns it.
- Understanding that trial length, billing period and price are one decision, not three.
- Knowing which levers are store-constrained on mobile, and designing around the constraints rather than into them.
- Refusing to ship a pricing change without a rollback path and a read-out date.
How I work on this
At Smitten I doubled ARPPU and drove a 100% increase in MRR over three years, working the whole stack: what premium actually contains, where the paywall sits, how trials convert, and the analytics needed to read any of it honestly. Before that I ran product at YNAB, a consumer subscription with an unusually loyal base and an unusually long consideration cycle — a very different monetization problem from an impulse-led app, and a useful corrective to the idea that there is one playbook.
Work with me on this
Ingi Brown advises on b2c monetization and related work. Email ingi@ingibrown.com or see the full background.
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