The situation
The brand sold tracking hardware with a recurring monitoring subscription. Revenue came from a device purchase, then activation and monthly payments. A device order alone did not show customer value. The team needed to connect orders with subscriptions to compare acquisition sources.
Paid acquisition ran across a marketplace and direct channels. Hardware orders cleared first-order margin targets. The account looked healthy in reports that stopped at checkout. Those reports did not show whether buyers activated monitoring, how long they stayed, or what each source contributed by month twelve.
The problem
Campaign targets used first-order hardware economics. They omitted activation rates and subscription revenue. The CPA ceiling measured only the device purchase, though subscription payments drove the business.
That target favored cheap device orders even when buyers never activated. Campaigns that acquired customers who activated and stayed subscribed looked expensive at checkout. The team reduced their budgets while lower-value orders received more spend. The ad platform reported the cheaper orders as efficient, though they produced less subscription value.
The report didn't join device orders to twelve-month customer value. It could answer what an order cost, but it couldn't answer what a customer contributed. The team ranked acquisition sources by the wrong value and could not see the error in the ad report. The missing measure affected bid targets and weekly budget decisions.
What we did
Joined hardware orders to activation events and monthly subscription revenue by customer. This linked each acquisition source to outcomes after checkout.
Rebuilt the acquisition target using activation rates and subscription lifetime value instead of first-order hardware contribution.
Re-ranked marketplace placements and campaigns by LTV:CAC. Shifted budget to sources that produced stronger customer value, even when device CPA was higher.
Increased paid spend against that target. Watched LTV:CAC as spend rose so higher volume did not hide declining returns.
The results
Paid spend rose from $20K to $300K per month, a fifteen-fold increase. Attributed orders rose from 307 to 7,087 per month. LTV:CAC held at 3:1 as the team expanded acquisition.
Marketplace lifetime-value contribution rose from $200K to over $2M. Lifetime value per activation increased from $350 in 2023 to $450 in 2024 and $525 in 2025. That is a 50% increase across two years.
The team increased volume without lowering LTV:CAC. It ranked sources by activation and subscription value, then made budget decisions against that measure. The result was more paid acquisition at the same customer-value ratio. First-order CPA alone would have ranked those sources differently.