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Admiral Media performance account

Kevin,

AI Infrastructure Specialist,

Admiral Media,

Mar 14, 2026

Mobile Performance Marketing Agency: The Complete Guide for 2026

Table of Contents

Mobile apps compete in one of the most brutal advertising environments in digital marketing. Billions of ad impressions are served daily across Meta, Google, TikTok, and programmatic networks, all bidding for the same users at prices that have climbed year after year. In this environment, the margin for error is thin: buy the wrong traffic at the wrong price with the wrong creative, and the economics collapse before you can iterate your way out.

A mobile performance marketing agency exists precisely to navigate this complexity. These are specialized firms that plan, execute, and optimize paid user acquisition campaigns for apps, with accountability tied directly to measurable outcomes: cost per install, cost per action, return on ad spend, and lifetime value. They are not brand agencies that dabble in app installs. They are growth operators who live inside attribution dashboards, creative testing frameworks, and bidding algorithms every single day.

This guide explains what mobile performance marketing agencies do, how they work, what results are possible, and how to evaluate whether one is the right fit for your app in 2026.

What Is a Mobile Performance Marketing Agency?

A mobile performance marketing agency is a specialized marketing partner that manages paid user acquisition for mobile applications. Their remit covers the full acquisition stack: channel strategy, campaign architecture, creative production and testing, bid management, attribution setup, and ongoing optimization against the metrics that determine app economics.

The “performance” designation is meaningful. Unlike brand or awareness agencies, every campaign a mobile performance agency runs is designed to produce a measurable outcome. Spend is allocated based on predicted return. Creative is tested systematically to find the assets that convert. Bids are tuned to hit target cost-per-install or cost-per-action thresholds. If a channel cannot meet performance targets, budget moves. The entire operation is organized around unit economics rather than impressions or reach.

This contrasts with general performance marketing agencies in an important way. Mobile-specific agencies understand the platforms where apps are discovered and installed: the App Store, Google Play, Meta’s app install campaigns, TikTok’s app promotion objective, Google App Campaigns, Apple Search Ads, and programmatic DSPs like Moloco. They understand how mobile attribution tools like AppsFlyer, Adjust, and Branch work, how SKAdNetwork and Apple’s App Tracking Transparency framework have restructured measurement, and how in-app events need to be configured to give algorithms the signal quality they require to optimize effectively.

For app teams, this domain expertise is not a nice-to-have. It is the core of why external partnership makes sense. The mobile advertising landscape changes fast enough that specialization is required to stay current, and the testing volume required to find efficient acquisition at scale is practically impossible to achieve with a small in-house team.

Core Services of a Mobile Performance Marketing Agency

The service scope varies by agency, but high-quality mobile performance marketing agencies typically deliver across four domains: strategy, channel management, creative, and measurement.

User Acquisition Strategy

Before any campaigns run, the agency needs to develop a clear picture of who the target user is, what in-app actions define activation and retention, what the target cost per acquisition looks like given LTV estimates, and which channels are most likely to reach the right audience at that cost. This strategy work determines the entire shape of the campaign portfolio. For early-stage apps, it may involve significant testing across channels to establish baseline economics. For scaling apps, it means pressure-testing existing assumptions and identifying the next pool of efficient growth.

Paid Channel Management

Mobile performance agencies manage campaigns across the major paid acquisition channels. Meta (Facebook and Instagram) remains the highest-volume channel for most app categories, with sophisticated audience targeting and algorithm-driven delivery that rewards creative quality and event signal. Google App Campaigns automate bidding and placement across Search, YouTube, Display, and Play using a single campaign structure fed by creative assets and an optimization target. Apple Search Ads captures high-intent users at the point of App Store search, with keyword-level control and strong conversion rates for categories where users are actively searching. TikTok has emerged as a major growth channel for consumer apps, particularly those with a young or entertainment-oriented audience. Programmatic DSPs like Moloco, Digital Turbine, and ironSource round out the media mix for apps that need reach beyond the major self-attributing networks.

The agency’s job is not just to run campaigns on these platforms. It is to architect the campaign structure, manage audience segmentation, set bid strategies aligned with target KPIs, and continuously optimize based on performance data.

Creative Production and Testing

Creative is the single largest lever in mobile performance marketing. On algorithm-driven platforms like Meta and TikTok, targeting has been largely democratized: the algorithm finds your audience if you give it the right signal. What differentiates performance at scale is creative quality and creative volume. An agency running 5 ad variations will plateau quickly. An agency running 60+ variations per month, iterating on winning hooks, formats, and concepts, will keep finding efficiency while competitors stagnate.

Leading AI creative agencies have restructured production to generate this volume without proportional cost increases. Using agentic workflows, structured A/B testing frameworks, and real-time feedback loops that feed performance data back into creative iteration, they can identify winning assets faster and deploy more capital against them.

Measurement, Attribution, and Reporting

Mobile attribution is complex in the post-ATT world. When Apple introduced App Tracking Transparency in 2021, the signal quality available from iOS campaigns dropped significantly. Sophisticated agencies have adapted by working with probabilistic attribution models, incrementality testing, and media mix modeling to get a cleaner picture of what is actually driving installs and revenue. They configure in-app event schemas to maximize the signal quality sent to ad platforms, set up proper measurement infrastructure with best-in-class mobile measurement partners (MMPs), and build reporting frameworks that surface the metrics that matter: not just installs, but downstream events like purchases, subscriptions, and retention cohorts.

How Mobile Performance Marketing Works: The Process

Understanding the operational process of a mobile performance agency helps app teams know what to expect and how to collaborate effectively.

Onboarding and Audit

Every engagement starts with a deep audit of the app’s current acquisition setup: existing campaign structure, creative library, attribution configuration, in-app event taxonomy, historical performance data, and competitive context. This audit surfaces the quick wins and identifies structural issues that need to be addressed before scaling can begin.

Foundation Building

If attribution is misconfigured or in-app events are not properly mapped, fixing this comes first. Running campaigns against bad signal is a fast way to waste budget. The agency typically works with the client’s engineering team to verify MMP integration, confirm event naming conventions, and validate that the data flowing into ad platforms matches what appears in attribution dashboards.

Testing Phase

With the foundation in place, the agency enters a structured testing phase. New creative concepts are produced and deployed across target channels. Audiences are segmented and tested. Bid strategies are evaluated: target CPA, target ROAS, and value-based bidding approaches are compared. The goal is to establish performance baselines across channels and identify the combinations of creative, audience, and bid strategy that produce efficient installs.

Scaling Phase

Once winners are identified, capital moves behind them. Budgets are scaled methodically to avoid disrupting the algorithm’s learning processes. New creative variations are introduced continuously to prevent fatigue as the best performers wear out. New audiences are tested to expand reach without sacrificing efficiency. The agency monitors performance at a granular level, adjusting bids and budgets in response to daily fluctuations in CPMs, conversion rates, and downstream event performance.

Continuous Optimization

Mobile performance marketing is not a set-and-forget activity. Creative fatigue, competitive pressure, platform algorithm changes, and seasonal shifts all create ongoing variability in campaign economics. High-quality agencies maintain a systematic testing cadence that ensures there are always fresh creative concepts entering the pipeline, with learnings from each test feeding into the next iteration.

Key Channels for Mobile Performance Marketing in 2026

The channel landscape for mobile apps has expanded significantly over the past few years, giving performance agencies more options for efficient growth beyond the historically dominant Meta and Google duopoly.

Meta Advantage+ App Campaigns

Meta’s Advantage+ App Campaigns use machine learning to automate audience targeting, placements, and delivery across Facebook and Instagram. They reward creative quality more than any other input: the algorithm is highly capable of finding the right users if the creative drives strong engagement signals. For most consumer app categories, Meta remains the highest-volume growth channel and is usually the first to be optimized in any performance agency engagement.

Google App Campaigns

Google App Campaigns (formerly Universal App Campaigns) automate placements across Search, Play, YouTube, and Display using a single unified campaign. The campaign requires a set of creative assets and an optimization target (installs, in-app actions, or ROAS) and the algorithm manages delivery. The key lever is asset quality: text variations, images, and video assets need to be diverse enough to allow meaningful testing. Strong Google App Campaign performance also requires high-quality event signals, particularly for action-optimized campaigns.

Apple Search Ads

Apple Search Ads captures users at the highest point of intent in the acquisition funnel: when they are actively searching for an app on the App Store. Keyword targeting gives precise control over which searches trigger your ads, and conversion rates are typically higher than broad discovery channels. Apple Search Ads is particularly valuable for apps in competitive categories (fitness, finance, productivity, dating) where branded and category keyword volumes are high.

TikTok App Promotion

TikTok has become a major acquisition channel for consumer apps targeting younger demographics. Its app promotion campaigns support both install optimization and in-app event optimization, and the platform’s native creative format (short-form vertical video with an authentic, unpolished aesthetic) differs enough from Meta and Google that it rewards distinct creative strategies. For apps with a strong entertainment or social component, TikTok is often the most cost-efficient channel for reaching Gen Z and younger millennial audiences.

Programmatic DSPs

Demand-side platforms like Moloco, Digital Turbine, IronSource, and Unity Ads provide access to inventory outside the major self-attributing networks. This is particularly valuable for reaching users in markets where Meta and Google are less dominant (parts of Southeast Asia, Latin America, the Middle East), for Android-heavy categories where Play Store inventory is abundant, and for apps that have saturated their primary channels and need new pools of efficient traffic. Programmatic channels require strong creative customization to each platform’s native format and careful incrementality analysis to validate the contribution of each source.

The Role of Creative in Mobile Performance Marketing

Creative has become the defining variable in mobile performance marketing. Platform algorithms have largely equalized targeting capabilities: every advertiser has access to similar audience signals, lookalike models, and behavioral targeting parameters. What separates brands that scale efficiently from those that plateau is the quality, variety, and velocity of their creative output.

The most common failure mode for mobile advertisers is creative fatigue. A campaign launches with two or three strong concepts. Performance is good. Budget scales. Then, as frequency increases and the best-responding audiences exhaust, CTRs drop and CPIs climb. Without fresh creative to rotate in, the entire campaign degrades. This is not a targeting problem or a bid problem. It is a creative volume problem.

Addressing creative fatigue requires building a production system, not just a creative department. Performance agencies that operate at scale maintain structured testing frameworks: new hooks are tested weekly, winning elements (opening frames, calls to action, visual formats, gameplay or product demonstrations) are isolated and recombined, and production pipelines generate enough variation to support continuous testing without bottlenecks.

AI-powered production has accelerated this capability significantly. Agencies using generative AI workflows can produce 60 or more creative variations per week, test them against each other in real time, and feed performance data back into the next production cycle. The result is a compounding creative advantage that widens over time as each test produces a sharper understanding of what resonates with the target audience. You can read more about this approach in our analysis of AI-powered ad agency methodology.

Measurement and Attribution in 2026

Mobile attribution has become one of the most technically complex disciplines in digital marketing. The combination of Apple’s App Tracking Transparency framework, Google’s shifting approach to Android privacy, and the increasingly fragmented media landscape has made it harder than ever to get a clean, accurate picture of what is driving growth.

Mobile Measurement Partners (MMPs)

MMPs like AppsFlyer, Adjust, and Branch serve as the independent attribution layer that sits between ad platforms and the app. They receive install signals from both the device and the ad platform, de-duplicate clicks, and produce a definitive attribution for each install based on configured methodologies. Proper MMP setup is the foundation of any credible mobile measurement stack. Without it, each ad platform reports its own attribution, and the total installs attributed typically exceed actual installs by 50% or more due to double-counting.

SKAdNetwork and Post-ATT Measurement

On iOS, Apple’s SKAdNetwork (SKAN) provides privacy-preserving install attribution without individual user-level data. SKAN attribution comes with significant latency (24-72 hours or more), limited conversion value mapping, and no user-level data for downstream analysis. Agencies that work effectively with iOS measurement have developed SKAN conversion value schemas that maximize the information density of the limited data available, tiering in-app events and revenue ranges into the conversion value window to give algorithms the signal quality needed for value-based optimization.

Incrementality Testing

Given the measurement limitations of the post-ATT world, incrementality testing has become an increasingly important tool for validating channel contribution. Holdout tests, geo-based experiments, and ghost bidding studies can establish whether a channel is producing incremental installs (users who would not have been acquired through other channels) or simply claiming credit for organic and cross-platform acquisition. As AppsFlyer notes, incrementality works best alongside last-touch attribution, not as a replacement for it, since the combination provides the most accurate decision-making foundation.

Case Study: NeuroNation (+117% ROAS, +200% Spend Scaling)

NeuroNation is a cognitive training app with a subscription-led monetization model. When they engaged Admiral Media, the challenge was scaling user acquisition significantly beyond existing volume while maintaining efficiency: a common problem for apps that have exhausted their most obvious audience segments and face declining returns as they push further up the cost curve.

The Admiral Media team applied a systematic test-and-learn methodology, categorizing communication ideas across target audiences and markets and deploying the proprietary pRank framework to identify high-performing and underperforming creative assets faster than conventional reporting allows. The pRank system factors in client-specific KPIs rather than generic performance metrics, giving a more accurate picture of which assets actually move the business metrics that matter.

Over 15 months, the results were comprehensive:

  • +117% ROAS — more than doubling return on ad spend while scaling the account
  • +200% spend scaling — tripling the user acquisition budget without sacrificing efficiency
  • -39% CPI — cutting cost per install by more than a third
  • +66% installs — growing install volume significantly alongside improved efficiency
  • +32% purchases — downstream revenue metrics improved in proportion to install growth
  • +42% net cohort revenue — demonstrating that quality of acquired users improved, not just quantity

The NeuroNation result illustrates a key principle of high-quality mobile performance marketing: efficiency and volume are not in opposition. The instinct of many app teams is to assume that scaling spend necessarily means accepting worse CPI as you move into less efficient audiences. With the right creative testing system and bidding discipline, it is possible to scale spend by 200% while simultaneously cutting CPI by 39%.

Read the full NeuroNation case study for a detailed breakdown of the methodology.

Case Study: PURE Dating App (-74% CPI via Moloco)

PURE is a dating app competing in one of the most congested and expensive categories in mobile advertising. Dating apps face high CPIs, significant creative restrictions on major platforms, and intense competition from well-funded incumbents. Finding cost-efficient acquisition requires looking beyond Meta and Google to programmatic channels that can deliver comparable user quality at lower prices.

The Admiral Media team tested Moloco’s DSP against PURE’s established Self-Attributing Network (SAN) channels with separately allocated budgets to produce a clean comparison. The results validated the programmatic approach decisively:

  • -74% CPI — Moloco delivered a cost per install of $2.44 versus the SAN comparison of $9.43
  • D7 ROAS targets exceeded — quality of acquired users held up at lower acquisition cost
  • Market expansion enabled — the improved economics opened new geographic markets for PURE that were previously unviable at SAN pricing

The PURE result demonstrates the value of channel diversification in mobile performance marketing. Most app advertisers default to Meta and Google because they are familiar and high-volume. Programmatic DSPs like Moloco offer materially lower CPIs for the right app categories, particularly on Android and in geographies where the major SANs are less competitive. The key is having the measurement infrastructure and analytical capability to validate quality across channels, not just compare CPIs in isolation.

Read the full PURE case study for details on the Moloco campaign structure and measurement approach.

Case Study: Star Chef 2 (+45% ROAS, +55% CTR, -18% CAC)

Star Chef 2 is a free-to-play cooking and restaurant management game with subscription-led monetization and millions of active users. Gaming apps face a specific challenge in performance marketing: creative quality and quantity are arguably more important than in any other category, because the creative has to convey gameplay feel and entertainment value in a 6-30 second window while competing with thousands of other game ads vying for the same audiences.

The Admiral Media team rebuilt Star Chef 2’s creative production pipeline using AI-powered agentic workflows, replacing a manual production process that constrained testing volume with a systematic framework capable of generating 60 or more creative variations per week. The methodology combined three elements:

First, agentic creative production generated high-fidelity assets and variations in minutes rather than days, removing the production bottleneck that had capped testing volume. Second, structured A/B testing isolated winning elements by hook, visual format, and gameplay concept across 60+ weekly variations, building a compounding understanding of what drove engagement. Third, real-time feedback loops fed ROAS and engagement data back into subsequent creative batches, so each production cycle was informed by what had worked in the previous one. Brand guardrails ensured all AI outputs maintained Star Chef 2’s visual style across the expanded output volume.

The production transformation drove measurable business outcomes:

  • +45% ROAS — return on ad spend improved significantly as better creative drove higher-value users at lower cost
  • +55% CTR — click-through rates more than doubled, indicating the new creative was substantially more engaging
  • -18% CAC — customer acquisition cost fell as improved creative efficiency reduced the cost per acquired user
  • 10x production volume increase — without proportional cost escalation, demonstrating the economic case for AI-native creative production

The Star Chef 2 result makes the strongest possible case for treating creative as an operational capability rather than a creative output. The ROAS improvement did not come from better targeting or bid strategy. It came from a systematic process of generating, testing, and iterating on creative at a volume that no manual production system could match.

How to Choose a Mobile Performance Marketing Agency

The market for mobile performance agencies ranges from large holdco shops with broad channel coverage and deep account teams to specialist boutiques that focus on specific app categories or growth stages. Choosing the right partner requires evaluating several dimensions beyond the sales pitch.

Relevant App Category Experience

Mobile performance marketing looks materially different across app categories. Gaming, dating, fitness, finance, and food delivery each have distinct creative conventions, regulatory constraints, audience behaviors, and channel mixes. An agency that has driven efficient growth for B2B SaaS apps has not necessarily built the capabilities required to scale a gaming app on TikTok. Ask for case studies specifically from your category and probe for evidence of genuine expertise rather than surface familiarity.

Creative Production Capabilities

Ask how many creative variations the agency produces per month and what their testing cadence looks like. A credible answer in 2026 involves structured testing frameworks, systematic iteration on winning concepts, and the capacity to generate meaningful volume. An agency that produces 4-6 new ads per month is unlikely to keep pace with creative fatigue at any meaningful budget level. Look for evidence of a production system, not just talented designers.

Measurement and Attribution Expertise

Ask specifically about their approach to iOS measurement post-ATT, their experience configuring SKAN conversion value schemas, and how they use incrementality testing to validate channel contribution. The answers will reveal whether their measurement practice is current or still relying on pre-2021 assumptions about user-level attribution.

Reporting Transparency

You should have direct access to campaign dashboards, not just curated agency reports. Ask whether you will have read access to ad accounts and MMP dashboards, and what their reporting cadence and format looks like. Agencies that restrict dashboard access are often hiding underperformance behind headline metrics.

Commercial Structure

Performance agencies typically structure their fees as a retainer plus a percentage of managed spend. The percentage-of-spend model can create incentive misalignment if the agency benefits from spending more regardless of efficiency. Look for agencies that structure incentives around performance targets, whether through bonuses tied to ROAS or CPI outcomes, or retainer structures that are not directly tied to spend levels.

For a deeper evaluation framework, see our guide to choosing a performance marketing agency.

Mobile Performance Marketing Agency Pricing

Pricing varies significantly based on scope, agency size, and the maturity of your app’s acquisition program. The most common structures are as follows.

Retainer Plus Percentage of Spend

The dominant pricing model in the industry. Monthly retainers typically run from $3,000 to $15,000 or more depending on scope, with a percentage of managed ad spend layered on top (typically 10-20% for smaller accounts, declining to 5-10% for large accounts). This model aligns effort with account complexity but can create the spend-volume incentive misalignment noted above.

Pure Retainer

Some agencies offer a fixed monthly retainer that covers all services regardless of spend level. This model is cleaner from an incentive standpoint and works well for accounts where spend levels are relatively stable. It requires the client to ensure the retainer is sized to reflect the actual complexity and volume of work required.

Performance-Based Components

Agencies with high confidence in their capabilities sometimes offer performance-based fee components: bonuses tied to achieving target CPIs or ROAS benchmarks, for example. This structure signals genuine accountability for outcomes and is worth seeking out when negotiating with agencies that have strong track records.

Budget minimums for serious mobile performance marketing work typically start at $10,000 per month in ad spend. Below that threshold, it is difficult to generate the testing volume required to optimize effectively across multiple channels and creative hypotheses. For apps that are earlier in their growth journey, see our analysis of mobile growth agency options for early-stage considerations.

When to Hire a Mobile Performance Marketing Agency

The decision to bring on an external performance agency is a significant one, and it is not always the right move at every stage of an app’s lifecycle.

The clearest signal that it is time to hire an agency is when in-house capacity cannot keep pace with the testing velocity required for efficient growth. If your team is producing fewer than 20 new creative variations per month, struggling to manage campaigns across more than two channels simultaneously, or lacking the specialized measurement expertise to navigate post-ATT iOS attribution, the gap between your current capability and what best-in-class performance looks like is wide enough that an agency can add substantial value immediately.

A second signal is growth stagnation at a specific spend level. Many apps hit a ceiling where CPI climbs sharply as they push beyond their most efficient audience segments. Breaking through that ceiling requires the creative volume, channel diversification, and audience strategy that a specialist agency is better positioned to deliver than a generalist in-house team.

A third signal is entering a new market. Geographic expansion in mobile performance marketing is not just a budget allocation decision. It requires localized creative, channel mixes adapted to regional media consumption patterns, and attribution configurations that account for regional attribution norms. An agency with genuine international experience can compress the learning curve significantly.

The Future of Mobile Performance Marketing

Several structural trends are reshaping mobile performance marketing in 2026 and will continue to define the discipline over the next several years.

AI-native creative production is becoming a baseline capability rather than a differentiator. Agencies that have not rebuilt their creative workflows around AI-assisted production are falling behind on the testing velocity that performance at scale requires. The compounding advantage of systematic creative iteration, accelerated by generative AI, is widening the gap between best-in-class and average performance agencies.

LTV-based optimization is replacing install-volume metrics as the primary success criterion. Platform algorithms have matured to the point where value-based bidding, optimizing for predicted lifetime value rather than install volume, consistently produces better business outcomes. Agencies that can configure and interpret LTV-based campaigns, and that have the downstream data infrastructure to feed revenue signals back into bidding algorithms, will outperform those still optimizing against install counts.

Programmatic diversification beyond the major SANs is accelerating. As the PURE case study demonstrates, DSPs like Moloco can deliver CPI advantages of 70% or more for the right app categories and geographies. As measurement infrastructure for programmatic channels matures, more sophisticated apps will build significant acquisition programs outside of Meta and Google.

Privacy-preserving measurement continues to evolve as both Apple and Google advance their privacy frameworks. Agencies that invest in measurement science, including incrementality testing, media mix modeling, and probabilistic attribution, will have a structural advantage in understanding the true contribution of each channel as user-level data becomes increasingly unavailable. Industry resources like AppsFlyer’s measurement resource hub track these developments in real time and are worth monitoring for practitioners.

For further reading on how AI is reshaping performance marketing across channels, see our overview of AI marketing agency capabilities.

Frequently Asked Questions

What does a mobile performance marketing agency do?

A mobile performance marketing agency manages paid user acquisition campaigns for mobile apps. Their services cover channel strategy, campaign setup and management, creative production and testing, bid optimization, attribution and measurement configuration, and reporting. Everything they do is oriented around measurable outcomes: cost per install, cost per action, return on ad spend, and user lifetime value. Unlike brand agencies, their work is evaluated against performance targets rather than reach or awareness metrics.

How is a mobile performance marketing agency different from a general digital marketing agency?

Mobile performance agencies specialize in the platforms, tools, and methodologies specific to app growth: App Store and Google Play dynamics, mobile attribution partners like AppsFlyer and Adjust, Apple Search Ads, SKAdNetwork measurement for iOS, and app install campaign structures on Meta, Google, and TikTok. A general digital marketing agency may have strong capabilities in web-based channels but will typically lack the mobile-specific expertise required to manage attribution correctly, optimize against in-app events, or navigate the post-ATT measurement environment effectively.

What results can I expect from a mobile performance marketing agency?

Results depend heavily on the app, its current performance baseline, and the quality of the agency. Well-documented outcomes from high-quality agencies include CPI reductions of 30-75%, ROAS improvements of 40-120%, and spend scaling of 100-200% while maintaining target efficiency. The NeuroNation engagement with Admiral Media produced a 39% CPI reduction alongside 200% spend scaling. The PURE engagement produced a 74% CPI reduction through Moloco versus established SAN channels. These results are achievable but require the right combination of creative capability, channel expertise, and measurement infrastructure.

How much does a mobile performance marketing agency cost?

Typical pricing structures combine a monthly retainer (ranging from $3,000 to $15,000 or more depending on scope) with a percentage of managed ad spend (10-20% for smaller accounts, declining for larger accounts). Minimum viable ad spend for effective mobile performance marketing is generally $10,000 per month; below that level, testing volume is too limited to optimize effectively. Some agencies offer performance-based fee components tied to ROAS or CPI targets, which signals stronger accountability for outcomes.

How long does it take to see results from a mobile performance marketing agency?

The first 30 to 60 days of a new agency engagement typically involve audit, foundation-building, and initial testing. Meaningful performance data begins to emerge in this window, but the most significant results come as creative iterations compound and channel optimization matures. Most well-structured engagements show clear directional improvement within 60-90 days and reach full optimization velocity between 3 and 6 months. The NeuroNation results cited above were measured over a 15-month engagement, during which the compounding effect of continuous optimization produced results that would not have been achievable in a shorter window.

What channels do mobile performance marketing agencies use?

The core channels are Meta (Facebook and Instagram), Google App Campaigns, Apple Search Ads, TikTok, and programmatic DSPs including Moloco, Digital Turbine, IronSource, and Unity Ads. The right channel mix depends on the app category, target audience demographics, geographic focus, and platform-specific performance data. High-quality agencies build diversified channel portfolios rather than concentrating spend in one or two networks, because diversification reduces concentration risk and opens access to new pools of efficient traffic as primary channels saturate.

What should I look for when choosing a mobile performance marketing agency?

Prioritize agencies with verifiable case studies in your app category, a documented creative production and testing process capable of generating meaningful testing volume, current knowledge of post-ATT iOS measurement and SKAdNetwork, and transparent reporting with direct dashboard access. Ask about their commercial structure and look for incentive alignment around performance outcomes rather than spend volume. The quality of the people who will actually manage your account, not the quality of the pitch team, is the most important variable in the outcome of the engagement.

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