Installs Were Costing Over $3.00 Each
A new pet app had built something pet owners loved, and not enough of them knew it existed.
Earlier paid campaigns had run at a cost per install (CPI) that stayed above $3.00. The creative was not stopping the scroll. There was no testing process that could say which ad had earned which install, and with no framework for scaling, every dollar spent felt like a gamble.
The goal was to build a Meta Ads management system that could drive real install volume at a cost that made growth sustainable. Three objectives drove everything we did: generate high-volume installs from genuine pet owners, bring cost per install down to a commercially viable level, and build a repeatable, scalable paid growth system for the long term.
One Creative Per Ad Set, No Exceptions
We rebuilt the campaign from scratch with a focus on two things: creative that converts and a campaign structure built for scale.
1. Creative testing framework
Creative is the strongest lever in any Meta campaign, and it was exactly where the previous efforts had fallen flat. We launched a structured creative testing matrix across several ad formats to find what resonated with pet owners, including user-generated content (UGC), the kind of clip a real customer would film on their own phone.
| Creative format | Performance | Role | Priority |
|---|---|---|---|
| Video (UGC-style) | Highest click-through rate (CTR); drove majority of installs | Primary | High |
| Static carousel | Strong for feature showcasing | Secondary | Medium |
| Story / Reel format | Low CPI; used for retargeting | Supporting | Low |
Every creative ran in its own isolated ad set for clean, reliable data. If you are running four creatives inside one ad set, you cannot tell which one earned the install, and you end up scaling the average. Winners were scaled fast, and underperformers were cut within 48 to 72 hours. This tight iteration cycle compressed the learning phase and drove the cost per install down quickly.
2. Campaign structure and bidding strategy
We structured campaigns using Meta’s App Install objective with Advantage+ placements, spreading delivery across Facebook, Instagram, Stories, and Reels. A target cost-cap bid held the cost per install steady as budgets grew. It stops spend running away during scale-up. Three campaigns ran alongside each other: a broad prospecting campaign with active creative testing, a scaling campaign built on lookalike audiences at 1 to 3%, modelled on the app’s best existing users, and a retargeting campaign for warm audiences who engaged but had not yet installed.
3. App Store listing optimization
Paid ads get users to the door; the App Store listing has to close the deal. We audited the listing and found friction right at the point of install. Updates to screenshot sequencing, preview video, and keyword-optimized descriptions made the messaging match what users had just seen in the ad, which cut drop-off at the final step.
This one is worth doing yourself this afternoon. Open your best-performing ad and your store listing side by side and read them back to back. If they do not tell the same story, you are paying to send people somewhere that argues with the ad they just tapped.
Thirty Days Later, Installs Cost $1.10
Thirty days on one channel produced over 4,000 installs at a cost per install that beat industry benchmarks by nearly half.
| Metric | Result |
|---|---|
| Total app installs | 4,000+ |
| Cost per install | $1.10 |
| Campaign duration | 30 days |
| CPI vs. industry benchmark ($2.00 to $4.00) | 45 to 72% below average |
| Primary channel | Meta (Facebook and Instagram) |
Two numbers the table cannot show: UGC-style video creative drove over 60% of total installs, and retargeting converted warm audiences at a cost 22% lower than cold prospecting. The store listing changes closed the loop, cutting drop-off at the final step so the paid traffic converted.
“The results exceeded everything we expected. We had been struggling to get installs at a reasonable cost for months, and within 30 days we had over 4,000 new users on the app at $1.10 each. The team understood our audience and built creative that actually resonated with pet owners.”
Di M., Founder, Pet Health App
If Your Spend Is Not Turning Into Installs
Mobile app growth here did not take a bigger budget. It took a system that could find what worked, cut what did not, and scale with confidence. Creative that stopped the scroll, campaigns structured so the algorithm could do its job, and a store listing that no longer lost people at the last step together delivered 4,000+ installs in 30 days at $1.10 each, with a growth engine still running.
So look at your own account in that order. Creative first, structure second, then the page people land on. If your app is burning spend without producing installs, the issue is almost never the product but the system behind how you reach people and what happens when they get there. The industry page for that work is consumer app marketing.