App Advertising & Acquisition
The closed nature of app ecosystems limits cross-channel measurement and retargeting capabilities that web marketers take for granted. Meanwhile, competition for user attention intensifies as app stores host millions of alternatives, each vying for the same limited screen space on users’ devices.
At 173tech, we work with subscription businesses navigating the particular complexities of mobile app acquisition and retention. We have seen businesses underestimate the technical complexity of measuring app conversions accurately, leading to misallocated marketing budgets and flawed strategic decisions. This article explores the specific challenges facing app-based subscription businesses and provides practical guidance for companies seeking to build sustainable mobile acquisition strategies.
Unique Economics Of App-Based Subscriptions
Subscription businesses operating primarily through mobile applications face economic realities that diverge considerably from web-based counterparts. Understanding these differences proves essential for setting realistic expectations and designing sustainable growth strategies.
Acquisition costs for app-based subscriptions typically exceed those for comparable web-based services. Multiple factors drive this. The app install itself represents an additional friction point that web-based services avoid; users must not only decide to try your service but also commit device storage space and navigate app store processes before experiencing any value. This additional barrier naturally reduces conversion rates compared to web experiences where users can begin trials immediately through their browsers.
Platform fees further compound these economic challenges. Apple and Google extract 15 to 30 percent of subscription revenue processed through their payment systems, significantly impacting unit economics compared to web-based subscriptions where businesses retain far larger portions of revenue. Whilst recent regulatory pressures have created some alternative payment options, the majority of app-based subscriptions still flow through platform payment systems, making these fees an unavoidable reality for most businesses.
The risk of one-off subscribers who churn immediately after trial periods represents another distinctive challenge for app-based subscription businesses. Mobile users often exhibit different engagement patterns compared to web users, downloading apps impulsively and abandoning them just as quickly. This behaviour creates scenarios where businesses invest substantially to acquire subscribers who never intend to maintain long-term subscriptions, instead using free trials to access content or features before cancelling immediately.
These economic challenges intensify in competitive categories where numerous apps offer similar functionality. Users often download multiple competing apps simultaneously, comparing features during trial periods before selecting a single service to maintain. This “serial trial” behaviour means that even users who genuinely seek the category of service you provide may never convert to paying subscribers, having fulfilled their needs through competitor trials or determined that another app better suits their requirements.
The combination of higher acquisition costs, platform fees, and elevated churn risk means that app-based subscription businesses require substantially higher lifetime value thresholds to achieve profitability compared to web-based equivalents. Many businesses discover these economic realities only after investing significantly in app development and marketing, finding that their originally projected unit economics prove unworkable in the mobile environment.
App vs Web: Metrics
The metrics that subscription businesses use to evaluate performance differ substantially between app and web channels, creating challenges for businesses attempting to apply web-based measurement approaches to mobile contexts.
Web-based subscription businesses typically focus on straightforward conversion funnels: website visits lead to trial signups, which convert to paid subscriptions. Each step in this funnel can be measured relatively clearly using established analytics tools. App-based businesses face considerably more complex measurement challenges, beginning with the fundamental difference between app installs and website visits.
An app install represents a higher-commitment action than visiting a website, yet it remains far removed from actual subscription conversion. Many users install apps without ever opening them. Others open apps once and abandon them immediately. The journey from install to subscription involves multiple distinct steps; app store discovery, install decision, first app open, account registration, trial activation, and finally subscription purchase, each representing potential abandonment points that require separate measurement and optimisation.
In-app conversion tracking proves particularly complex. Whilst web-based businesses can implement conversion tracking relatively straightforwardly through pixels and cookies, app-based tracking requires integration with mobile measurement partners, implementation of software development kits, and navigation of platform-specific attribution frameworks. Each platform (iOS and Android) implements different privacy rules and attribution mechanisms, forcing businesses to maintain separate tracking infrastructure for each.
iOS privacy rules, particularly App Tracking Transparency introduced in iOS 14.5, fundamentally disrupted mobile attribution. Apple now requires apps to obtain explicit user permission before tracking activity across other apps and websites. The overwhelming majority of users decline this tracking permission when presented with Apple’s standardised consent prompt. This user behaviour effectively eliminated deterministic attribution for most iOS apps, forcing businesses to rely on probabilistic attribution methods that provide far less accuracy.
The implications for subscription businesses prove profound. When a user sees your advertisement in one app, installs your app from the App Store, and eventually subscribes, connecting that subscription back to the original advertisement becomes enormously challenging without deterministic tracking. Mobile measurement partners employ various probabilistic techniques; matching device characteristics, IP addresses, and timing patterns, to estimate attribution, but these methods introduce significant uncertainty compared to the cookie-based attribution that web businesses employ.
Android environments offer somewhat more permissive tracking capabilities, but increasing privacy protections from Google suggest this advantage will diminish over time. Businesses cannot assume that current Android attribution capabilities will persist indefinitely, making it prudent to design measurement systems that function adequately even with limited tracking.
Cross-platform measurement introduces additional complexity. Many subscription businesses maintain both web and app presences, with users potentially discovering services through web marketing, signing up on desktop browsers, but primarily engaging through mobile apps. Connecting these cross-platform customer journeys requires sophisticated identity resolution, matching anonymous web visitors to app users to subscription customer records, which many businesses struggle to implement effectively.
The fragmentation of the mobile ecosystem further complicates measurement. Unlike web environments where a handful of browsers dominate and analytics implementations remain relatively consistent, mobile environments encompass numerous device types, operating system versions, manufacturer customisations, and regional variations. Each introduces potential tracking inconsistencies that undermine measurement accuracy.
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Creating Effective Advertising
Advertising mobile applications requires fundamentally different approaches compared to web-based services, beginning with the nature of the conversion action itself. App advertisements primarily drive app store visits and installs rather than direct subscription conversions, introducing additional steps in the conversion funnel that affect creative strategy, messaging, and performance measurement.
App store optimisation represents the foundation of effective app advertising. When users click advertisements, they arrive at your app store listing rather than directly experiencing your service. This intermediary step means that app store presentation: screenshots, videos, descriptions, ratings, and reviews, dramatically influences conversion rates from advertisement clicks to actual installs. Businesses often focus advertising creative optimisation whilst neglecting app store listings, creating disconnects where compelling advertisements drive traffic to unconvincing app store pages.
The relationship between advertisement creative and app store presentation requires careful coordination. Advertisements establish expectations about your service’s value proposition, features, and user experience. When users arrive at app store listings, those listings must reinforce and expand upon the promises made in advertisements. Inconsistencies between advertisement messaging and app store presentation create confusion and reduce conversion rates, as users question whether the advertised service matches the actual app offering.
Driving web traffic to encourage app installs versus driving app traffic to web properties presents distinct challenges. Web-to-app conversion showing web advertisements that encourage users to visit app stores, typically converts poorly because it requires users to leave their current context, navigate to app stores, find your listing, and initiate downloads. The friction inherent in this journey reduces conversion substantially compared to native app advertisements that enable installs directly from advertising platforms.
Conversely, driving app users to web properties for conversion actions proves equally challenging. If your subscription purchase flow requires users to leave your app and complete transactions on mobile web browsers, you introduce significant friction and abandonment. Apple’s restrictions on linking to external payment systems whilst maintaining app store distribution further complicate these cross-environment conversion strategies.
The closed nature of mobile advertising ecosystems limits retargeting and cross-channel measurement in ways that frustrate marketers accustomed to web-based advertising flexibility. Web-based retargeting typically enables businesses to show advertisements to users based on specific website behaviours; visiting particular pages, abandoning shopping carts, viewing certain content. Mobile environments restrict these capabilities considerably, particularly on iOS where App Tracking Transparency limitations prevent most cross-app retargeting.
This restriction on retargeting means that mobile advertising must achieve conversion more efficiently within initial touchpoints rather than depending on multi-touch remarketing campaigns that convert users over time. The “see advertisement, install app, subscribe” journey must occur with far less opportunity for intermediate retargeting than web environments typically allow. This reality demands more compelling initial value propositions and more efficient onboarding experiences, as businesses cannot rely on repeated retargeting touchpoints to gradually convince users.
Creative approaches for mobile app advertising differ substantially from web advertising as well. Mobile advertisements typically appear in constrained formats; vertical video, interstitial placements, native feed formats, requiring creative designed specifically for these contexts. Desktop-oriented creative rarely translates effectively to mobile formats, yet many businesses attempt to repurpose web advertising assets for mobile campaigns rather than developing mobile-specific creative.
Demonstrating app functionality within advertisement creative proves particularly valuable for subscription services. Users download apps based on expected value, so advertisements that clearly illustrate specific features, demonstrate user interfaces, or showcase outcomes help users understand what they will receive. Generic brand-focused creative that might work adequately for web-based services often underperforms for app advertising where users seek concrete evidence of functionality before committing to installs.
Targeting Strategies
The targeting capabilities available for mobile app advertising differ considerably from web-based advertising, requiring subscription businesses to develop targeting strategies specifically adapted to mobile platform constraints and opportunities.
First-party data becomes critically important for mobile app advertising because third-party tracking limitations restrict alternative targeting approaches. When you cannot rely on cookie-based audience segments or cross-app behavioural tracking, the customer data you own directly (email addresses, phone numbers, app user identifiers) represents your most valuable targeting asset. Mobile advertising platforms enable businesses to create custom audiences by uploading these first-party identifiers, allowing precise targeting of existing customers or exclusion of current subscribers from acquisition campaigns.
The strategic value of first-party data extends beyond simple audience targeting. When you upload customer lists to advertising platforms, those platforms can analyse the characteristics of your existing subscribers and identify similar users across their networks. This lookalike audience capability proves particularly powerful for app-based subscription businesses because it enables targeting expansion whilst maintaining relevance, addressing the tension between audience scale and targeting precision that app advertisers constantly navigate.
Building effective lookalike audiences requires substantial high-quality first-party data. Advertising platforms generate more accurate lookalike audiences when provided with larger seed audiences of known high-value customers. This reality creates a strategic imperative for app-based subscription businesses to capture customer information as early as possible in the user journey, building first-party data assets that enable increasingly sophisticated advertising targeting over time.
Email addresses represent particularly valuable first-party identifiers because they enable matching across both mobile and web environments. When users provide email addresses during app registration, you create opportunities to target them through email marketing, match them to web sessions, and build comprehensive cross-platform customer profiles. Phone numbers provide similar value, particularly for SMS marketing and mobile-specific targeting capabilities.
App user identifiers (the anonymous identifiers that mobile operating systems assign to app users) enable precise targeting within app environments even when other forms of tracking remain restricted. Businesses can export lists of app user identifiers for subscribers or high-engagement users, uploading these to advertising platforms for targeted campaigns or exclusion from acquisition advertising. This approach enables remarketing to app users without requiring cross-app tracking permission, working within platform privacy frameworks whilst maintaining targeting effectiveness.
Reducing one-off subscribers (users who complete free trials but cancel immediately before first paid billing) requires behavioural targeting strategies that identify and exclude poor-fit audiences before acquisition. Analysing characteristics of users who churn quickly versus those who maintain long-term subscriptions reveals patterns that inform targeting decisions. Perhaps users from certain geographic regions, acquired through particular creative variations, or demonstrating specific onboarding behaviours exhibit elevated churn risk. These patterns enable targeting refinements that improve subscriber quality even if they reduce overall acquisition volume.
The tension between acquisition volume and subscriber quality represents a critical strategic decision for app-based subscription businesses. Broad targeting typically drives higher install volumes and lower cost-per-install metrics, creating appealing top-of-funnel performance. However, these broadly targeted users often convert to subscriptions at lower rates and churn more quickly, resulting in poor long-term economics despite attractive acquisition metrics. Narrower targeting based on quality signals typically increases immediate acquisition costs whilst delivering superior lifetime value through improved retention.
Many app-based subscription businesses optimise excessively for immediate conversion metrics (cost per install, trial conversion rate) without adequately weighting longer-term retention in their performance evaluation. This optimisation approach leads to targeting strategies that acquire large volumes of poor-fit subscribers who churn quickly, creating apparent growth that masks underlying economic problems. More sophisticated approaches incorporate predicted lifetime value into acquisition optimisation, accepting higher immediate costs to acquire subscribers likely to generate superior long-term revenue.
The Importance Of Early Email Capture
For app-based subscription businesses, capturing email addresses early in the user experience represents one of the most strategically valuable actions possible, yet many businesses delay this capture or fail to implement it effectively.
Email addresses provide persistent identification that transcends platform limitations and enables communication independent of app installation status. Users frequently delete and reinstall apps, switch devices, or abandon apps without formally canceling subscriptions. Email addresses enable businesses to maintain contact through these scenarios, re-engaging users who might otherwise remain lost, supporting users experiencing technical difficulties, and communicating subscription status changes.
The marketing value of email addresses extends well beyond immediate communication capabilities. Email lists enable creation of custom audiences in advertising platforms, supporting targeted remarketing campaigns and lookalike audience generation. They provide matching keys for identity resolution across web and app environments, enabling businesses to connect user behaviour across platforms. They support personalisation strategies that improve retention and increase lifetime value.
Despite this strategic importance, many app-based businesses delay email capture until late in the user journey, requiring users to experience significant app functionality before requesting contact information. This approach optimises for immediate friction reduction but sacrifices the ability to capture data from users who engage briefly before abandoning. For subscription businesses where even trial signups provide valuable conversion data, early email capture proves essential.
Freemium models; where apps provide meaningful functionality before requiring account creation or subscription, create particular challenges for email capture timing. The value proposition of freemium approaches depends on demonstrating utility before asking for commitment, yet delaying all data capture until users decide to upgrade means losing visibility into the majority of users who try your app but never convert to paid subscriptions.
The optimal balance involves demonstrating sufficient value to establish credibility whilst capturing email addresses before users abandon your app entirely. This typically suggests requesting email addresses after users have experienced one or two meaningful interactions with your core functionality but before they have fully explored your free offering. The specific timing depends on your app’s use case and engagement patterns, requiring testing to identify the point where value demonstration sufficiently motivates email sharing without allowing so much exploration that users abandon before reaching the prompt.
Tactics for encouraging email capture vary in effectiveness across different app categories and user segments. In-app prompts that clearly articulate benefits “Save your preferences across devices” “Get weekly personalised recommendations” “Never lose your progress”convert more effectively than generic requests for email addresses without clear value propositions. Gating desirable content or features behind account creation provides strong motivation for email sharing, though this approach must balance conversion optimisation against the risk of frustrating users before they experience core value.
Exclusive offers and incentives can accelerate email capture when implemented thoughtfully. Extended trial periods, premium feature access, or content bonuses in exchange for email addresses provide clear value exchange that users understand and appreciate. However, businesses must ensure these incentives attract genuinely interested users rather than incentive-seekers who provide email addresses solely for benefits without authentic interest in your service.
Progressive disclosure approaches work effectively for many subscription apps. Rather than requesting extensive profile information during initial interactions, these approaches capture email addresses first, then gradually request additional information as users engage more deeply with your app. Each subsequent data request occurs at a point where users have experienced additional value, making them increasingly willing to share information in exchange for enhanced personalisation or functionality.
Email verification represents an important consideration as well. Requiring users to verify email addresses before accessing functionality creates additional friction but ensures data quality and reduces fraudulent signups. The appropriate approach depends on your specific fraud risk and the value you place on verified email addresses versus maximising signup volume.
Practical Recommendations
Successfully navigating the complexities of app-based subscription acquisition requires strategic approaches that acknowledge platform limitations whilst leveraging available capabilities effectively. The following recommendations reflect patterns we have observed in building sustainable mobile subscription businesses across various categories and scale levels.
Prioritise first-party data capture throughout the mobile user experience. Every interaction represents an opportunity to collect information that enables better targeting, personalisation, and retention. Email addresses provide the foundation, but phone numbers, preference information, usage patterns, and demographic data all contribute to building customer profiles that support sophisticated marketing and product strategies. Design your onboarding flow, feature gating, and premium upgrade paths to incentivise data sharing with clear value exchange rather than simply requesting information without apparent benefit to users.
Optimise your freemium funnel to demonstrate value rapidly whilst capturing data early. The timing of when you request email addresses, require account creation, or promote subscription upgrades dramatically affects both immediate conversion rates and long-term data asset development. Test various points in the user journey to identify optimal moments for these requests, recognising that the best timing balances immediate conversion optimisation against data capture for users who ultimately abandon without converting.
Invest heavily in app store optimisation as an integral component of advertising strategy rather than treating it as separate from performance marketing. Your app store listing represents a critical conversion point that mediates between advertising investment and actual installs. High-quality screenshots demonstrating key functionality, compelling preview videos showing actual app usage, clear feature descriptions addressing user questions, and strong ratings from satisfied users collectively determine whether advertising traffic converts to installs. Regularly refresh app store creative to maintain relevance and test variations to optimise conversion.
Develop mobile-specific advertising creative rather than repurposing web assets. Mobile advertisement formats, viewing contexts, and user expectations differ sufficiently from web environments that creative designed for desktop rarely performs optimally on mobile. Vertical video formats, demonstration of actual app interfaces, clear value propositions visible within seconds, and platform-appropriate calls-to-action all improve mobile advertising performance. Test creative variations extensively, recognising that small improvements in click-through rates and conversion rates compound significantly across large-scale campaigns.
Build sophisticated attribution and measurement infrastructure that accommodates platform privacy restrictions. Whilst perfect attribution remains difficult in modern mobile environments, thoughtfully implemented measurement systems combining mobile measurement partners, server-side event tracking, and first-party data matching provide sufficient visibility for informed decision making. Accept that measurement will contain uncertainty but implement systems that minimise that uncertainty and make it visible in reporting rather than claiming false precision.
Design targeting strategies that balance audience scale with subscriber quality. Whilst broad targeting often delivers lower immediate acquisition costs, the long-term economics of subscription businesses depend on retention as much as acquisition. Analyse cohort retention patterns across different targeting approaches, creative variations, and traffic sources to identify which acquisition strategies deliver superior lifetime value even when immediate metrics appear less attractive. Shift budget toward these higher-quality acquisition channels even if doing so reduces overall growth rates, recognising that sustainable subscription businesses depend on retaining subscribers rather than constantly replacing churned users.
Implement re-engagement campaigns targeting users who install your app but never subscribe or who subscribe but exhibit declining engagement. Email addresses and push notification permissions enable outreach to users showing abandonment or churn warning signals. Automated campaigns addressing common abandonment reasons, highlighting new features, or offering incentives for re-engagement often reactivate users at far lower cost than acquiring new subscribers. The key lies in timing these campaigns appropriately, soon enough to remain relevant but allowing sufficient time for users to recognise independently that they miss your service.
Use first-party data strategically to improve advertising performance over time. As you accumulate subscribers and usage data, segment audiences by quality, identifying characteristics of high-lifetime-value subscribers versus those who churn quickly. Upload these high-quality customer segments to advertising platforms as seed audiences for lookalike targeting, progressively improving targeting accuracy as your data assets grow. This approach creates compounding advantages where successful subscription businesses develop increasingly efficient acquisition over time through better targeting whilst competitors struggle with static targeting capabilities.
Consider the full platform fee implications when evaluating subscription pricing and unit economics. Apple and Google’s 15 to 30 percent fees on in-app subscriptions dramatically affect profitability, particularly for lower-priced subscription tiers. Some businesses find that premium positioning with higher subscription prices becomes necessary in app environments to maintain acceptable margins after platform fees. Others implement alternative monetisation approaches—annual billing, consumable purchases, hybrid web-app payment flows—to reduce platform fee impact. Understanding these economics before launching app-based subscriptions prevents discovering unprofitable unit economics after significant investment.
Conclusion
App-based subscription businesses face distinctly more complex acquisition and retention challenges compared to web-based counterparts. Higher acquisition costs, platform fees, attribution limitations, and elevated churn risk combine to create an environment where only the most thoughtfully designed subscription businesses achieve sustainable economics.
The businesses that succeed in mobile subscription markets acknowledge these challenges directly rather than assuming that successful web-based subscription strategies will translate seamlessly to app environments. They invest in mobile-specific expertise spanning app store optimisation, mobile advertising creative, platform attribution frameworks, and freemium monetisation strategies. They build first-party data assets systematically from initial user interactions, recognising that owned customer data represents their most valuable long-term asset in environments where third-party tracking continues degrading.
At 173tech, we specialise in helping subscription businesses navigate the particular complexities of mobile app acquisition and retention. We have implemented measurement systems that provide reliable visibility despite platform privacy restrictions, designed freemium funnels that optimise the delicate balance between value demonstration and data capture, and built targeting strategies that improve subscriber quality whilst maintaining acquisition efficiency.
The future of mobile subscription businesses will likely involve continued privacy restrictions, evolving platform policies, and intensifying competition for user attention. Businesses that build sustainable practices now; prioritising first-party data, optimising for long-term retention rather than short-term acquisition metrics, investing in genuine value creation rather than growth hacking—will develop competitive advantages that persist as mobile subscription markets mature.
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