I've been getting the same set of questions from founders & UA managers over the past few months.

The market is shifting faster than most studios expected, and the mental models that worked two years ago are starting to break. The same topics keep coming up: install volume, retention quality, creative economics, how UA financing fits in, and what the best-performing studios are actually optimizing for in 2026.

• Why is the install volume a weaker signal than it used to be?

• Why does D1 look fine, but D30 remains volatile?

• We produce more creatives than ever. Why aren't cohorts improving?

• How does a retention-led growth strategy impact cash management?

• What are the highest-performing studios actually optimizing for in 2026?

Here's my take on each of these topics.

1. Why is the install volume a weaker signal than it used to be?

Ad platforms have become much more advanced at predicting the revenue potential of users in their network and successful publishers have set up their postback signals in a way that exploits this.

If you are still dependent on install campaigns, you are effectively running on the assumption that a cohort of users will generate a certain LTV and capping your campaigns at an upper CPI threshold will ensure you achieve your target ROAS margin. The problem with this set up is that you are not allowing for the platform to personalize the budget based on the spectrum of users that could get you a significantly higher LTV.

Publishers absorbing most of those budgets and still growing aren't winning on downloads. They've shifted the primary metric towards a ROAS metric (e.g. D28 ROAS) how much revenue a cohort actually returns over 28 days relative to what was spent to acquire it. These publishers are now able to spend whatever budget is necessary to win a user that will meet that D28 ROAS threshold. Because Ad Platforms are able to spend more in this setup, it becomes prioritized inventory over the traditional CPI campaigns.

2. Why does my ROAS at D1 look fine but D30 remains volatile?

D1 ROAS and D30 ROAS should be highly correlated metrics in a stable product that has achieved market fit. When D1 improves meaningfully, we usually want to wait to see whether this has had an unexpected effect on longer term ROAS driven by shifts in payer retention or ARPPU progression.

If a Publisher is able to improve D1 ROAS and keep the overall shape of the curve to D30 and beyond stable, this means that marketing engine is ready to scale. If not, then it usually signals that the product or the channels aren’t ready to scale.

Understanding the differences in the user behavior between D1-D30 is important to deduce whether this is something that product / live-ops or the UA team need to address.

On the LiveOps side: 84% of all mobile in-app purchase revenue in 2024 came from games using live-ops, with 95% of studios now running or building a live service title. But frequency alone doesn't move D30. Consistency does. Events and content updates on a predictable rhythm keep engagement high without overwhelming players. Predictable LiveOps creates predictable cohort behavior, and predictable cohort behavior is what separates a business that can be financed from one that can't.

3. We're producing more creatives than ever. Why aren't our cohorts improving?

Creative volume is key to successful experimentation and experimentation is key to scaling. This is a well established formula but Publishers have taken this as a cue to produce and publish as many creatives as possible – the issue is that they often don’t have enough budget placed against each of these experiments and it leads to UA managers taking down creatives when they still have a shot at success.

Top gaming advertisers ran around 2,500 creative variations per quarter in 2025, up 25–30% year-on-year, largely driven by AI production tools. Unfortunately this hasn’t been associated with a correlated increase in UA budget. The result is that each experiment is diluted and it has become harder and harder to distinguish between a winning and losing creative.

4. How does a retention-led growth strategy impact cash management?

Shifting to retention-led growth may mean accepting slower top-line install numbers in the short term. You're spending more per install, being more selective about channels and creatives, and letting cohort data mature before scaling. It’s a sensible strategy, but it creates a financing problem that traditional options aren't built for.

Traditional bank debt doesn’t work elegantly here. A fixed monthly repayment schedule doesn't care whether your cohorts are maturing; it just keeps charging. Venture capital solves the capital problem but creates a permanent one: the cost to raise equity is dilution, which has a cost of capital equivalent to the rate of growth of your valuation. If you are using this capital to invest into predictable ROAS, you are better off funding this with something that has a capped cost.

The studios executing retention-led growth effectively have found a capital structure that matches the cashflow cycle of their cohorts. This effectively enables you to spend as much as you profitably can without worrying whether you will have to repay a loan with cash you don’t have on hand.

5. What are the highest-performing studios actually optimizing for in 2026?

Three things, consistently…

Setting up a strong foundation of signal engineering to ensure the ad platforms are able to find you the right users. They are also ensuring that their key early metrics are correlating to predictable outcomes, resulting in more confidence to scale.

Rapid experimentation of creative concepts in user acquisition campaigns. Using AI-driven work flows to research, ideate, generate and manage more experiments, ruthlessly cutting what doesn't attract profitable cohorts.

Knowing how your cohort performance ranks against your peer set. This is consistently where I see the biggest gap. Most studios are benchmarking their performance internally against their own historical data rather than against their competition.

The importance of evaluating your business through a cohort lens

At PvX Partners, we've analyzed over 450 mobile publishers across gaming and consumer apps. What we’ve observed is that studios with the most confidence in scaling have adopted a cohort lens when looking at their business.

If you own a mobile app and you understand that achieving X% ROAS within D7 or D28 leads you to a predictable payback period and that is competitive in your category/genre, then you are in a position to begin scale up experimentation.

Understanding how these metrics change as you experiment with more channels, creatives and geos will help you decide where to allocate more capital. As you scale further, your payback periods will naturally stretch but as long as you remain confident that your marginal LTV is greater than your Marginal CaC, then you should keep spending.

If you keep continuing like this, eventually the vast majority of your company’s cash balance will be tied up in the marketing payback cycle. Way before you get to this point, it’s prudent to secure a source of capital for growth that will enable you to invest into marketing flexibly with a transparent cost – ideally one that doesn’t encumber the business with incremental risk. UA Financing was designed specifically for this growth loop in mind.

PvX Partners provides cohort-based UA financing for mobile gaming and consumer app studios. Studios can assess their cohort data and financing eligibility for free using PvX Lambda, built on the same underwriting platform PvX uses to deploy capital. For studios exploring financing terms, PvX Capital deploys up to $25M/year with term sheets in 24 hours.