Why Scaling User Acquisition Means Rewriting the Playbook Every Time

When I first heard the mantra “just copy‑paste the same UA playbook into a new vertical,” I laughed. It sounded nice on paper, but in the trenches it’s a recipe for disappointment.

Over the last few years I’ve jumped between wildly different categories – entertainment, photo‑video editing, health & fitness, mental‑health apps, and a handful of utility tools. Each one pulls users in for its own quirky reasons, keeps them for totally different things, and responds to a creative language that feels alien compared to the last.

That realization forced me to stop treating user acquisition as a single, repeatable channel function. Instead, I began to see it as an organizational capability that has to be reshaped whenever the product changes. The shift is subtle at first – you start asking, “What problem does this user think they’re solving?” rather than, “Which targeting slice should we hit?” – but it quickly spirals into a full‑scale redesign of processes, teams, and even the metrics you trust.

My early stint at a wellness‑tech startup is a good illustration. We tried to roll out a Google‑and‑web acquisition plan right after iOS 14 rolled out, confident that the strategy made sense on paper. In reality the product, engineering, and ops teams weren’t ready to support that push. The lesson was crystal clear: a brilliant channel strategy is useless if the surrounding organization can’t execute it.

When I landed at Reface as the first in‑house UA manager, the app already had a user base that loved it. What we lacked was the internal machinery to serve that demand at scale. I spent weeks with the design crew, sketching out new creative concepts, setting up tracking spreadsheets, and iterating on every variation we could think of. It wasn’t glamorous, but those mundane chores are what separate a learning organization from one that just repeats the same old ads.

Fast‑forward a couple of years, and Reface’s portfolio exploded – we added health & fitness, mental‑health tools, AI‑driven editing features, and a suite of utility apps. Suddenly my role morphed from “campaign optimizer” to “head of a multi‑product UA engine.” The focus moved from asking, “Is this ad performing?” to asking, “Can our team consistently make good decisions across five very different products?”

What’s surprising is how many things stay the same underneath all the noise: the need for solid research, the habit of testing creative concepts early, the habit of building feedback loops. What changes, however, is the content of those loops – the onboarding flow, the trust signals, the retention hooks. Entertainment ads that rely on surprise and humor don’t work in a health app where credibility is king. Utility apps need to scream usefulness within the first three seconds, something that would feel boring in a meme‑driven campaign.

Automation has become a lifeline in this chaos. As the product list grew, manual tweaks became a bottleneck. We dissected every step of our workflow to decide: does this decision really need a human brain, or can a rule‑engine handle it? Today, a good chunk of account‑level adjustments happen automatically, freeing the team to focus on the nuanced problems that still need a human touch.

The biggest takeaway? The tactics you reuse between categories are the systems that support them, not the tactics themselves. A solid testing framework, clear data pipelines, and a culture of rapid iteration are portable. The exact ad creative, the onboarding copy, the post‑install messaging – those all have to be rebuilt from scratch for each new vertical.

Looking back, it isn’t the bid strategies, the platform updates, or even the flashy creative formats that let UA teams scale. It’s the willingness to constantly ask, “What must stay the same, and what has to change when we step into a new market?” That question has guided every hiring decision, every process tweak, and every piece of automation we’ve built.

So if you’re thinking about expanding your mobile growth engine into a new category, prepare to rebuild more than just your ad sets. Re‑engineer the whole UA playbook, layer by layer, and you’ll find the scaling you’re after.