adFuel performance marketing means we tie every pound of media spend to measurable app growth. We run mobile and CTV user acquisition as one connected system, with strategy, media buying, measurement and optimization all aligned to your revenue, not just installs.
If you run UA, you already know how fragmented things feel. Programmatic, rewarded, OEM, CTV, SKAN, probabilistic modeling, incrementality. adFuel exists to connect those pieces. We are a performance-focused UA partner for mobile apps, running expertly managed and AI-optimized campaigns across mobile and CTV, with full MMP integration and a bias toward measurable outcomes.
Who is adFuel and what do we actually do?
adFuel is a performance marketing partner for mobile apps that runs full-service, managed UA across programmatic, rewarded, OEM and CTV. We focus on performance-based mobile and CTV campaigns, premium inventory access and measurable growth.
In practice, that means we:
- Build cross-screen UA strategy tied to ROAS and LTV, not just CPI
- Buy media through demand-side platforms and direct partners across mobile and CTV
- Integrate deeply with your MMP to track and attribute performance in real time
- Use AI-driven bidding and creative iteration to hit your performance targets
- Scale spend across channels when it is incrementally profitable, and cut it when it is not
You bring your app, monetization model, geos and performance targets. We bring the strategy, the media buying stack, the measurement setup and the optimization loop.
How does adFuel connect UA strategy to real business goals?
Most UA plans stop at "we will drive X installs at Y CPI". adFuel performance marketing starts from the revenue model and works back.
When we scope a new app, we focus on four inputs:
- Monetization model: IAP, IAA, subscription or hybrid
- Payback window: 7, 30, 90 days or longer
- Target markets: tier-1 vs tier-2, platform mix, language coverage
- Risk tolerance: how much budget can move into test at once
From there, we define:
- Primary KPI: D7 ROAS for casual games, D30 for midcore, longer for subscription or fintech
- Guardrails: max CPI or CPT per geo and platform
- Testing budget: often 10–20% of monthly UA to probe new channels and creative angles
adFuel then designs a channel mix across programmatic in-app, rewarded video, OEM inventory and CTV that lines up with those numbers. The result is a UA plan that your finance team can model and that we can operate toward daily.
How does adFuel handle media buying across mobile and CTV?
adFuel runs real-time bidding with full MMP integration across demand-side platforms and partner networks. We are built for performance, not reach for its own sake.
On mobile, we buy:
- In-app programmatic inventory for display, banner and interstitials
- Rewarded video in gaming and utility apps
- OEM and device-level placements for preloads and native placements
On CTV, we run performance CTV with:
- Connected TV inventory on major devices and platforms
- Cross-device attribution that ties CTV exposures to mobile installs and in-app events
We keep mobile and CTV structurally separate in terms of optimization, but we plan them together. CTV often acts as a scalable, incremental layer on top of mobile campaigns once the core mobile funnel is working.
Bid strategies follow performance stage:
- Early: CPI or CPA on key events like tutorial complete or registration
- Mid: ROAS-informed bidding on D1–D7 revenue where the data allows it
- Mature: ROAS or value-based bidding once the model stabilizes
We adjust floors, caps and pacing daily, using both platform signals and your MMP data.
How does adFuel work with your MMP and measurement stack?
Measurement is the center of how adFuel runs performance marketing. We integrate with leading MMPs like Adjust, AppsFlyer, Branch and Singular so you can see performance by channel, campaign and creative.
Our standard setup covers:
- Proper attribution linking and SKAdNetwork or AdAttributionKit configuration
- In-app event schema that matches your funnel and monetization model
- Revenue forwarding for IAP, subscriptions and ad revenue (where available)
- Postback configuration so bid systems can optimize in near real time
On top of that, we run our own reporting that joins:
- Spend and impressions from media platforms
- Installs, post-install events and revenue from the MMP
- Cohort views (D1, D3, D7, D30) tied to creative, placement and geo
This lets us answer questions UA teams care about, like:
- Which creatives actually drive higher ARPU, not just higher CTR?
- Are OEM placements adding incremental users or just re-attributing organic?
- Does CTV spend cannibalize or support mobile performance in a given geo?
We work within your privacy constraints and measurement reality. If ATT opt-in is low, we push more weight toward SKAN-compatible setups, cohort modeling and incrementality tests.
How does campaign optimization work at adFuel?
adFuel does continuous campaign optimization. Not a weekly check-in, but daily changes driven by clear rules and models.
The optimization loop looks like this:
- Data intake: Pull spend, installs, events and revenue from platforms and MMP
- Diagnose: Check KPIs by geo, placement, creative, audience and device
- Decide: Scale, cap or kill based on performance trends and sample size
- Act: Adjust bids, budgets, targeting and creative rotation
Examples of what this looks like in practice:
- Cut a rewarded video placement that shows strong CTR but weak D3 retention
- Increase bids on a CTV publisher that drives high LTV installs in tier-1 markets
- Shift budget from broad device targeting to specific device models where ARPU is higher
- Rotate new creatives into ad sets that are hitting frequency caps or showing fatigue
We also factor in seasonality and content cadence. For many apps, we plan heavier testing and expansion around Q2 and Q3, then lean into winning structures in Q4 when auctions are more expensive.
How does adFuel scale UA without breaking performance?
Scaling is where many UA programs fall apart. The first 20–30% of budget often looks great. The second 70% is where CPIs creep up and ROAS drops.
adFuel treats scaling as a controlled experiment, not a single switch flip. We:
- Move spend up in stages, often 10–30% at a time per campaign or channel
- Watch cohort performance for signs that new users are lower value
- Use new channels (for example, CTV or OEM) as parallel lanes, not a dump bucket
- Add creative and audience variants before a big scale move, not after
We prefer to expand breadth before depth. That means:
- More publishers and placements, then higher bids on the best ones
- More creative concepts, then spend concentration on winners
- New geos and platforms where your app makes sense, then local optimization
The goal is simple: grow total profitable spend, not hit an arbitrary budget number.
How does adFuel compare to a generic performance marketing agency?
Here is a simple comparison of how adFuel performance marketing differs from a typical UA agency setup.
| Area | Generic performance agency | adFuel performance marketing |
|---|---|---|
| Core focus | Installs and CPI | Measurable ROAS, LTV and payback windows |
| Channel mix | Social and a few networks | Programmatic, rewarded, OEM and CTV, planned as one system |
| Measurement | Basic install tracking | Full MMP integration, SKAN-ready, cross-device attribution for CTV |
| Optimization cadence | Weekly or campaign-level tweaks | Daily, data-driven changes across bids, budgets and creatives |
| Creative approach | Volume of variations | Hypothesis-driven concepts tied to funnel stages and LTV impact |
| Scaling method | Rapid budget increases when CPI looks good | Staged scale with cohort checks and incrementality focus |
| Cross-screen strategy | Separate or ignored CTV | Mobile and CTV planned together, optimized separately |
| Reporting | Channel-level performance | Channel, placement and creative-level performance with cohort views |
If you want installs at any cost, almost any agency can do that. If you want a performance partner that connects strategy, media, measurement and optimization, this is where adFuel lives.
When does it make sense to work with adFuel?
adFuel is a fit when:
- You have an app with a working monetization model and defined KPIs
- Your UA budget is meaningful enough to test multiple channels and creative ideas
- Your internal team is stretched on media buying, CTV knowledge or optimization depth
We are less useful if:
- You are still searching for product-market fit
- You have no clear retention or monetization baseline
- You only want a small CPI test on a single channel
Our best work happens when we plug into UA teams that already understand their numbers and need a partner to run performance at more scale and complexity.
FAQ
What is adFuel performance marketing in simple terms?
adFuel performance marketing means we run mobile and CTV campaigns where every decision ties back to measurable app revenue, not just installs or clicks.
How does adFuel get paid if it focuses on performance?
adFuel runs performance-based mobile and CTV campaigns, typically on commercial models that align with measurable outcomes like installs, qualified actions or revenue-based KPIs, agreed upfront with the client.
Do I need an MMP to work with adFuel?
You do not strictly need an MMP, but performance improves when you have one. adFuel integrates with providers like Adjust, AppsFlyer, Branch and Singular to track installs, events and revenue accurately.
Can adFuel run CTV and mobile UA together?
Yes. adFuel can run mobile and CTV separately or together. We plan them as one performance system, with cross-device tracking so you can see how CTV impacts mobile installs and in-app revenue.
What kinds of apps does adFuel work with?
adFuel works with mobile apps and games that monetize through in-app purchases, subscriptions, ad revenue or a mix. We focus on apps that treat UA as a core growth lever and have clear targets for ROAS and payback.