Loading...

In-app advertising: guide for those planning to launch mobile campaigns

In this article, we’ll discuss the advantages of in-app advertising and its primary formats. We’ll also examine effective strategies for acquiring high-quality, relatively cost-efficient traffic.

What is in-app advertising?

In-app advertising refers to the display of adverts inside mobile applications – games, services, utilities, and other types of apps installed on smartphones or tablets. Unlike web advertising shown in browsers, in-app advertising operates within the user’s natural digital environment: the apps they have installed and use regularly.

This form of advertising integrates into the application’s user interface. It may appear as a banner at the top or bottom of the screen, or it can occupy the entire screen. Beyond banners, there are video and interactive ad formats that activate between game levels. Native placements embedded within an app’s content feed are also widely used.

The mechanism for launching such advertising relies on a three-way partnership

  1. Advertisers – promote their products and services.
  2. Ad networks and agencies – provide traffic.
  3. Publishers – host ads to monetize their platforms.

The core principle of in-app advertising is targeting based on anonymized user data: socio-demographic characteristics, types of apps used, approximate activity times, GEO, and other parameters. This enables ads to be shown to the most relevant and motivated audiences, directly impacting campaign effectiveness – whether measured by CPI (installs) or CPA (target actions such as service orders, product purchases, or subscription sign-ups).

Why in-app advertising Is Trending

Today’s users spend over 90% of their total smartphone time inside mobile applications. According to Data.ai, global consumer spending on app downloads exceeded $171 billion. The average user spends approximately 4.8 hours per day within apps.

This creates unprecedented audience concentration and engagement within the mobile app ecosystem. For any business with even partial reliance on mobile users, foregoing in-app advertising effectively means forfeiting a significant share of potential customers.

This trend is amplified by increasing smartphone penetration, 5G expansion, and the rising quality of mobile content. Applications have become primary hubs for entertainment, shopping, communication, learning, and work.

For advertisers, this represents a paradigm shift: the ability to effectively acquire traffic inside niche applications – where users are maximally focused and engaged – has become critically important. Agencies specializing in in-app traffic are emerging as key partners for mobile app growth.

Key drivers behind in-app advertising growth

High audience engagement.
When integrated skillfully and supported by quality creatives, in-app ads demonstrate significantly higher conversion potential.

Evolving ad formats.
Complex formats like Playable Ads and Rewarded Video have taken center stage. These reduce user friction and are often perceived as entertainment rather than intrusive advertising.

Effective publisher monetization.
For developers of free-to-play apps, in-app advertising is a primary revenue stream alongside IAP (in-app purchases). This creates a sustainable ecosystem where advertisers gain access to premium inventory in top-tier apps, and publishers secure stable income to further develop their projects.

Advantages of in-app advertising for advertisers

  • High-quality Traffic, particularly in premium ad networks

Users who click on ads within apps are already accustomed to taking actions in the mobile environment: registering, making purchases, consuming content. As a result, CPA (Cost Per Action) is often lower than in other channels while maintaining comparable quality.

  • Flexible payment models

CPI (Cost Per Install): payment for each app installation. CPA (Cost Per Action): payment for a specific target action. oCPA (optimized CPA): ad network algorithms automatically optimize campaign parameters to achieve a predefined cost per target action (e.g., registration or first purchase).

  • Deep analytics capabilities

Attribution systems such as AppsFlyer, Adjust allow precise tracking of the user journey – from ad click to target action (install, registration, payment, etc.). This enables accurate ROAS (Return on Ad Spend) calculation, real-time campaign optimization, and fraud monitoring.

  • Broad reach or localized targeting

Ad networks support campaigns targeting major international markets or entire countries, as well as highly focused campaigns aimed at specific cities, regions, or language groups. Advertisers can test creatives across different locations and rapidly scale successful combinations.

Main in-app advertising Formats

  • Interstitial Ads (Fullscreen)

Full-screen advertisements appearing during natural pauses in app usage – between game levels, during transitions, etc. They offer high visibility and strong conversion rates (CR). Can be static or animated.

  • Rewarded Video

A highly popular and effective format. Users voluntarily watch a 10–20 second video in exchange for an in-app reward: game currency, extra lives, premium content, etc.

  • Playable Ads

An interactive format allowing users to “try out” the gameplay or a key feature of the app directly within the ad unit. Extremely effective for games and complex services, as they lower the barrier to installation and attract the most interested audiences.

  • Native Ads

Advertising that is stylistically and functionally integrated into the app’s interface – for example, a feed element or a recommendation within a list. Considered less intrusive and generates less user friction compared to other formats.

  • Banner Ads

The classic placement format appearing at the top or bottom of the smartphone screen within an open app. While conversion rates are relatively modest, banners are suitable for brand awareness objectives and maintaining audience touchpoints.

Is App Store advertising considered in-app?

Advertising placements within mobile stores represent a separate channel that works synergistically with in-app advertising. This includes ads displayed directly in search results and on app pages.

Key tools

  • Apple Search Ads (ASA) and Google UAC (Universal App Campaigns).
  • Alternative OEM app stores: Petal Ads (Huawei AppGallery), Samsung Galaxy Store, Xiaomi GetApps, each offering dedicated advertising dashboards. Formats include lock screen banners and in-store app recommendations.

Beyond ad networks and app stores, social media platforms – themselves applications – serve as powerful channels for in-app advertising. Telegram Ads is gaining traction, displaying native message-style ads within large public channels.

Which businesses benefit from in-app advertising?

  • Mobile app and game developers
  • Fintech, banking, and investment platforms
  • Online retail and marketplaces
  • Subscription services (streaming, education, fitness)
  • Geo-services (ride-hailing, food delivery)

Strategies for acquiring high-quality, cost-efficient in-app traffic

Acquiring quality traffic at competitive costs requires a systematic approach. Below are several essential components of a successful in-app advertising strategy.

Phased Launch and Combinatorial Testing

Do not allocate your entire budget to a single source at once. Divide the launch into iterations.

  • Initial stage: launch campaigns across multiple ad networks using identical creatives and comparable budgets. The objective is to gather baseline data on key performance metrics.
  • Scaling stage: concentrate the majority of your budget on networks demonstrating the strongest conversion rates (installs and target actions). Increase bids and budgets gradually while monitoring performance stability.
  • Optimization stage: within active ad networks, disable underperforming creatives and placements. Carefully monitor for fraudulent activity (pID fraud). Compile a whitelist of verified sources for future campaigns.

Creative Optimization: A Closer Look

Creative assets are the primary driver of conversion. Conduct A/B testing of 5–10 creative variants for each format. Test different messaging, visuals, and calls-to-action.

If advertising across multiple GEOs, localize content. This goes beyond translating on-screen text – adapt visuals to reflect cultural nuances, color preferences, and region-specific behavioral patterns.

Creatives must be relevant to the placement environment. An ad shown inside a calculator app should differ in presentation from one appearing in a hardcore game. Utilize ad network capabilities to assign different creative sets to distinct app categories.

In Gaming, Prioritize Interactive Formats

Benchmarks consistently show that Rewarded Video and Playable Ads deliver the highest conversion rates. Even with limited budgets, allocate resources toward producing a quality playable prototype or video that clearly demonstrates your app’s value proposition.

Users who voluntarily engage with incentivized video or interactive demos are highly motivated audiences. Such users demonstrate significantly greater propensity to install and subsequently complete target actions.

Integrate Retargeting Into Your Strategy

In-app advertising is not solely for user acquisition. It is equally effective for re-engaging existing users – for example, those who previously installed your app but have since churned.

Partner With an Expert Team

Purchasing traffic independently across dozens of ad networks requires substantial resources and direct relationships with platforms. A performance agency specializing in in-app advertising provides a single point of control over all traffic sources, streamlining analytics and optimization.

In conclusion

In-app advertising campaigns represent a highly effective tool for systematically scaling a business’s mobile channel. Success depends on selecting the right formats, continuously A/B testing creatives and strategies, conducting deep post-install event analytics, and collaborating with experienced partners or agencies that understand the nuances of in-app traffic acquisition.

Shopping Apps: Key Metrics and Trends

According to a SplitMetrics report, 78% of consumers make purchases through apps, and in the USA, they are regularly used by 164 million people.

When a user downloads a shopping app, they are already motivated to make a purchase. The marketer’s challenge is to stand out in a highly competitive environment. A SplitMetrics study based on the analysis of 4.44 billion impressions, 395.4 million clicks, and 500 A/B tests reveals which strategies in Apple Ads and ASO yield the highest return for e-commerce vertical apps.

Markets: App Giants vs. Niche Players

Competition and marketing strategies vary drastically from region to region.

The USA is the most capital-intensive market. The leading app is Temu, with monthly expenditures of 2.8 – 4.8 million dollars. The brand relies on an active promotion strategy across a broad pool of keywords. However, niche players like Chewy and Instacart prove that a focus on a specific vertical also delivers strong results.

In the UK, international platforms dominate in terms of spending, but local retailers like Very and Argos successfully leverage their knowledge of local behavioral patterns.

In the unique Japanese market, the spending leader is not a marketplace but the service Bundle Card. This underscores the importance of convenient payment solutions and niche hobbies for Japanese consumers.

The markets of France, Spain, and Belgium stand out as cost-effective for scaling, with high potential for engagement and conversion.

Key Apple Ads Metrics

The shopping app category demonstrates metrics exceptionally favorable for advertisers at the campaign launch stage.

High Conversion Rate

CR ≈ 71.1% in 2025. This means that more than 7 out of 10 users who click on an ad install the app. This signals high purchase intent.

Low Acquisition Cost

CPT ≈ $1.5, CPA ≈ $2.1. This is significantly lower than the average Apple Ads rates of $2.9 and $4.6, respectively.

Growing Engagement

TTR increased from ≈ 7.71% in 2023 to ≈ 8.6% in 2025, although it still lags behind the overall average of ≈ 10.5%. This represents an opportunity for creative optimization.

Store Optimization Specifics: iOS vs. Android

iOS vs. Android

App Store users show higher conversion rates – 24% versus 13% on Google Play – as well as higher engagement rates: 41% and 18% on the App Store and Google Play, respectively.

Trust is Decisive

A high percentage of direct installs indicates that many users make a decision without examining the app page in detail. Store ratings and reviews are critically important for building trust.

Static “Beats” Video

In the mobile shopping app category, static, bright visuals with a clear value proposition outperform others in effectiveness. Video previews are less effective; A/B tests often show a drop in conversion. The reason: a shopping app user is ready to act immediately and doesn’t want to spend time watching a video.

Creative Trends

The icon and screenshots are the primary tools to convince a user to install an app within 3 seconds – the average time spent on a page. In the highly competitive shopping app category, visuals are not just “pretty pictures” but a direct conduit for the value proposition.

The Icon: The Platform Decides Everything

Color choice depends on the operating system: on Android, for maximum visibility, bright, high-contrast colors that don’t blend into the background are needed.

The App Store has a different aesthetic – monochrome, minimalist icons fit better with the overall design and meet iOS audience expectations.

Most successful shopping apps use their branded logo as the icon. This is critical for instant recognition, especially considering the high direct install rate on iOS of 23%, where a user downloads the app without even visiting its page.

For niche or service apps (coupons, discount finders), functional icons depicting a shopping cart, price tag, or product work well. They immediately communicate the app’s purpose, compensating for the lack of a recognizable brand.

Correct Screenshot Structure is Key to Maintaining Attention

The main goal is to visually showcase the product range and ease of purchase; the product should be in the foreground. Use high-quality, bright product photos. Promotions, discounts, and seasonal offers should be on the first screenshot, highlighted in bold font and contrasting colors. This is the main trigger for a quick decision to install. Images of real people, especially those reflecting the target audience or local market specifics, significantly enhance user connection with the brand.

The App Store favors portrait orientation. On Google Play, you can test a strategy: the first screenshot is landscape to attract attention in search results, and the rest are portrait.

Conclusion

The mobile shopping app category is one of the most attractive for scaling: a relatively low user acquisition cost in Apple Ads is combined with a high conversion rate. The key to success lies in accounting for regional specifics, focusing on building brand trust through reviews, optimizing static creatives, and maximizing the use of personalized product listing page advantages.

Why Integrating Mobile UA and ASO is Essential in App Promotion Strategy

The last five years have seen a rapid evolution in advertisers’ acquisition strategies within the app promotion niche. According to Sensor Tower statistics the average advertising split for brands promoting mobile apps consists of the main channels: in-app (DSP/SSP) (57%), OEM sources (16%), retargeting (17%), contextual advertising (3%), social networks (6%), ASO (1%).

A trend towards strategies working with in-app purchases is observed, as well as significant advertiser attention towards OEM sources. However, there are also “problem areas”: ASO strategies still do not occupy a large share in the split. Why is this happening?

1. User Acquisition and ASO strategies often operate in isolation.

The User Acquisition team drives traffic to a non-optimized store page: according to the statistics from the previous section, a fairly small portion of advertisers pays sufficient attention to ASO in their mobile strategy.

The opposite scenario is also possible: the ASO team optimizes the app’s store page without knowing what kind of traffic will arrive. This refers to its quality and quantity, targeting specifics — everything the mobile ad launch team knows on their end.

2. Many “hidden pitfalls” in working with alternative stores.

OEM sources and alternative stores have gained more weight, and advertisers have started exploring them more actively: GetApps (Xiaomi), AppGallery (Huawei), etc. As well as a separate category of local stores. Working with each of them has its own peculiarities and nuances in optimization.

The Solution for Enhancing Mobile Advertising Effectiveness: Integrating Mobile UA and ASO into a Single Funnel

A unified strategy and user acquisition funnel that UA and ASO teams need to work on together. Data from each stage of the funnel should help achieve the goals of the next stage.

Ad Creative → Store Page → Install → Target Action within the App.

User Acquisition and ASO share common goals: to increase the conversion of high-quality users while simultaneously reducing the Cost Per Install (CPI) and maximizing ROAS. An important step towards effectively using User Acquisition and ASO is to understand how advertising traffic can impact organic metrics.

According to a StoreMaven study, the correlation between mobile ad spending and the volume of organic installs (on a scale from -1 to 1) is about 0.69 — indicating a positive correlation. In other words, as spending on User Acquisition and the number of paid installs increase, a growth in the number of organic installs is observed.

This happens because the total install volume determines an app’s ranking within its category. The higher your ranking, the more installs you get. The more an advertiser spends on ads, the more users will see the app in the store. Greater visibility leads to more downloads. More downloads lead to greater revenue.

Another consequence of this correlation is a reduction in the effective Cost Per Install (CPI). For example, if $1000 is spent on mobile advertising and 100 installs are obtained, the CPI is $10. However, the effective CPI should be calculated as spending divided by the total number of installs (paid and organic combined). The real CPI will be lower because organic installs are also counted in addition to paid ones.

Creating Custom Store Pages for Advertising Campaigns

App stores provide working tools that help integrate User Acquisition and ASO into a single strategy. For example, Custom Product Pages (CPP) allow creating unique versions of an app’s page with their own URL.

During organic search, users will land on the original app page, while in advertising campaigns, traffic can be directed to specially created pages most relevant to a specific audience or search query. This allows for optimizing user acquisition strategy, lowering CPI, and increasing the conversion rate.

By the way, starting July 2025, CPPs can work with traffic from within-store search. Previously, CPPs could only be used for advertising, but now they also work with organic search results — if the page is linked to relevant keywords.

Implementing CPP capabilities into the mobile strategy will allow User Acquisition and ASO teams to work more closely together and test various creatives with relevant visuals in the store.

Using Hypotheses from Advertising for ASO, and Vice Versa

Insights from mobile advertising can be used to enhance ASO optimization effectiveness. This also works in the opposite direction. There are two paths.

First Path:
  • Analyze top-performing ad creatives (CTR, CR): understand which messages, characters, and CTAs work.

  • Transfer successful elements to screenshots, videos, and the description. Ad creatives are ready-made A/B tests. It’s possible to use winning concepts and implement them directly in the store, for example using CPP.

Second Path:
  • Use ASO report data: identify which user queries have the highest conversion to install.

  • Add these keywords to User Acquisition campaigns in ad platforms. Organic search results show which queries are converting right now.

What Happens if User Acquisition and ASO Remain Isolated?

If mobile advertising and optimization are not synchronized, the consequences can be felt:

  • A bright creative leads to an irrelevant, non-optimized page in the store. This can contribute to a lower conversion rate and increased CPI.

  • Without advertising support, ASO will not reach its full organic potential. There is a risk of missing out on conditionally free installs.

  • Teams end up “putting out fires.” Instead of focusing on growth, teams are busy figuring out the causes of low conversion.

Integrate the data and efforts of User Acquisition and ASO teams into a single strategy — the growth of metrics and business indicators for the mobile app will accelerate significantly.

Media Buying in the AI Era: How Artificial Intelligence is Changing Advertising Strategies

The modern advertising market is undergoing fundamental changes under the influence of new technologies. Artificial Intelligence (AI) has become a key factor in the transformation of media buying, enabling the optimization of processes, increased efficiency of advertising campaigns, and a deeper understanding of the target audience.

The Transformation of Media Buying with AI

Traditionally, media buying involved selecting platforms, purchasing advertising space, and monitoring campaign performance. With the advent of AI, new opportunities have emerged:

  • Big Data Analysis. Machine learning and AI algorithms process vast amounts of information about user behavior, interests, and preferences. This allows for precise audience segmentation and the creation of personalized offers.
  • Automation of Purchases. Programmatic technologies enable real-time bidding for advertising space. AI optimizes bids, taking into account numerous variables, which ensures more efficient budget allocation.
  • Performance Forecasting. Using historical data and dynamic analysis, AI predicts which ads will generate the highest response. This helps adjust strategy in advance and reduce the risk of unsuccessful financial investments.
  • Creative Development. Artificial intelligence can generate and test ad banners, videos, and other creative formats, helping to save the team’s time.

Advantages of Using AI in Media Buying

Improved Targeting

AI helps uncover hidden patterns in user behavior, enabling more accurate identification of the target audience.

Budget Optimization

Thanks to automated bid management and precise forecasting, advertisers can reduce costs and increase return on investment (ROI).

Dynamic Adaptation

The advertising market changes every minute, and AI can quickly respond to these changes, adjusting campaign parameters in real time.

Time Savings

Automating routine processes allows specialists to focus on strategic planning and creative development.

How to Use AI to Improve Media Buying Processes

Platforms that use AI to optimize media buying already exist on the market. For example, algorithms integrated into programmatic systems allow advertisers to:

  • instantly assess the relevance of advertising platforms;
  • optimize costs through adaptive budget allocation across different channels;
  • increase conversion rates by dynamically changing content based on user behavior.

Major brands using such technologies already report significant improvements in performance metrics, confirming the practical value of AI in the media industry.

Programmatic Buying and AI

Programmatic advertising buying has long used algorithms for the automatic purchase of ad space. However, with the development of AI, this process has become even more precise. Machine learning allows for the analysis of huge datasets and instant bid adaptation, ensuring maximum campaign effectiveness.

Personalization and Hyper-Targeting

AI algorithms analyze user behavior patterns, interests, and demographic characteristics to create personalized advertising offers. This increases conversion rates and reduces customer acquisition costs.

Creative Optimization

AI can analyze the effectiveness of various creatives and automatically test variants, selecting the most successful images, headlines, and texts. Dynamic Creative Optimization (DCO) allows ads to be adapted to the audience in real time.

Fraud Prevention

AI solutions help identify fraudulent traffic, protecting advertising budgets from bots and unscrupulous platforms. Anomaly detection systems enable quick responses to suspicious activity.

Artificial intelligence in media buying is not just a trendy direction but a necessary step for adapting to modern market conditions. At Appska, we use AI for process automation and creative work, which allows us to launch more effective advertising while reducing the team’s workload on some routine tasks. In the face of a changing digital landscape, teams should invest in AI technologies to remain competitive.