The scoreboard
The number this category should be judged on
Cost Per Paying Subscriber Against 12-month Retention
Churn decides everything. A 20 dollar subscriber who leaves in month two costs you money no matter how cheap the install was.
Platform-reported ROAS goes in the monthly report because you should see it, but it is never the figure decisions get made on. Meta counts a sale it thinks it influenced. Your bank counts money that arrived. When those two disagree, the bank wins.
How buying actually happens here
Meta for install and trial volume, Google for branded and problem search, and onboarding deciding whether any of it pays
What gets accounts in trouble
Few category restrictions, but app install measurement on iOS remains partial and needs modelling
Two channels
How each platform earns its budget in consumer SaaS
Channel 01 — Meta
Creating the demand
Optimise to trial-to-paid conversion, not install. Installs are the cheapest bad metric available
Channel 02 — Google
Capturing the demand
Problem and alternative-to keywords beat category terms on both cost and intent
Creative
What actually works in front of this audience
The creative direction
Screen recordings, the actual problem being solved, first-session experience. Avoid abstract feature lists
The policy trap
Few category restrictions, but app install measurement on iOS remains partial and needs modelling
The measurement fix
Server-side events and a clean product feed, so the platform bids against real revenue rather than a browser-side guess.
The category in depth
Paid ads for consumer SaaS and App Businesses: what decides whether this works
The accounts I take over in this category rarely fail on bid strategy. They fail because the number being optimised toward was never the number that pays the bills.
Here that number is cost per paying subscriber against 12-month retention. Churn decides everything. A 20 dollar subscriber who leaves in month two costs you money no matter how cheap the install was.
Buying behaviour has a specific shape in this category, and campaign structure has to match it rather than fight it. Meta for install and trial volume, Google for branded and problem search, and onboarding deciding whether any of it pays
Policy is where accounts in this vertical get suspended rather than merely underperform. Few category restrictions, but app install measurement on iOS remains partial and needs modelling This is not a theoretical risk, it is the most common reason businesses in this category lose an ad account entirely.
Creative is the largest controllable lever. Screen recordings, the actual problem being solved, first-session experience. Avoid abstract feature lists
The plan
Your first 90 days of paid ads for consumer SaaS and App Businesses
Nobody fixes an ad account in a week. This is the order I work in, and roughly how long each stage takes before it is safe to make the next decision.
Fix the measurement
Feed health, purchase events and revenue reported after returns rather than at checkout.
Rebuild the structure
Campaigns reorganised around how this category actually buys, with policy-safe creative in place before spend rises.
Test what moves the number
Offer, creative, landing page. One variable at a time, with enough volume behind each test to mean something.
Scale what holds
Budget follows profitability measured on cost per paying subscriber against 12-month retention, not on platform-reported return.
Fit
Whether this is right for you
I would rather lose the enquiry now than three months in. Here is who paid ads for consumer SaaS and App Businesses works for, and who it does not.
Good fit
You will probably do well here
- You already have sales coming from somewhere
- You know your margin or close rate, or will work it out with me properly
- You can fund testing for three months without risking the business
- You want one person accountable rather than a rotating team
Poor fit
Save your money for now
- You need results within a fortnight to survive
- You want a guaranteed return that nobody honest can promise
- Your margin cannot support the cost of a customer in this category
- The lowest management fee is your main criterion
Run consumer SaaS and App Businesses? Let us look at your account.
Thirty minutes, your numbers on the screen, and a straight answer about what is costing you money right now.
Book a free strategy call →FAQ
Consumer SaaS and paid ads: the questions worth asking
Media spend goes directly to Meta or Google on your own card, so you always see the real number. My fee sits separately as a flat monthly retainer, agreed before anything starts and never a percentage of your spend. For consumer SaaS and app businesses the sensible starting point is enough budget to collect real conversion data - below that you are paying for noise, not learning.
Cost per paying subscriber against 12-month retention. That is the number I report on and the number campaigns get scaled or cut against. Churn decides everything. A 20 dollar subscriber who leaves in month two costs you money no matter how cheap the install was.
Two to four weeks to stabilise tracking and structure, six to eight before I would trust a scaling decision. Meta for install and trial volume, Google for branded and problem search, and onboarding deciding whether any of it pays - and each of those stages has its own lag, which is why judging week one tells you almost nothing.
Few category restrictions, but app install measurement on iOS remains partial and needs modelling. Beyond compliance, the most common failure I see is optimising to the wrong event. Fix the measurement first and a surprising number of performance problems solve themselves without touching a bid.
Next
Where to go from here
Meta Ads for consumer SaaS and App Businesses
The Facebook and Instagram side in detail, including creative and policy handling.
Read more →Google Ads for consumer SaaS and App Businesses
Search and Shopping structure built around this category buying behaviour.
Read more →Conversion tracking setup
The part that decides whether any of the numbers above can be trusted.
Read more →Ready to stop guessing what your ads are doing?
One call. Your numbers. A straight answer about what to fix first.