Mobile Martech

The mobile app economy is no longer driven solely by downloads. For marketers, the challenge today is not getting users to install an app but ensuring they stay, engage, transact, and return. As artificial intelligence reshapes customer experiences across industries, a less visible but increasingly critical category of technology is emerging at the centre of app-led growth strategies: mobile martech.

The term may sound niche, but its influence extends across nearly every interaction users have with an app. From the moment someone clicks on an ad to the notifications they receive days later, mobile martech determines how effectively brands acquire, understand, engage and retain customers.

As app ecosystems become more competitive and privacy regulations limit traditional tracking methods, mobile martech is evolving from a supporting function into a strategic growth engine. Increasingly, it is also becoming the infrastructure that powers AI-driven customer experiences.

The numbers explain why marketers are paying attention.

According to Sensor Tower’s State of Mobile 2026 report, consumers spent 5.3 trillion hours inside mobile applications during 2025. Global app downloads approached 150 billion, while in-app purchase revenue reached $167 billion, growing 10.6% year-on-year. For the first time, non-gaming app revenue surpassed gaming app revenue globally, signalling a broader shift in how consumers interact with mobile platforms.

At the same time, generative AI applications emerged as one of the fastest-growing categories. Downloads of AI apps doubled to 3.8 billion in 2025, while in-app purchase revenue nearly tripled, crossing $5 billion globally.

The convergence of these two trends, the rise of app-first businesses and the rapid adoption of AI, is changing the role of marketing technology on mobile.

Beyond downloads: Why mobile growth has become more complex

For much of the last decade, app marketing revolved around user acquisition. Success was measured through installs, cost-per-acquisition metrics and advertising reach.

That model is becoming less effective.

Consumers now have more apps than ever competing for their attention. Acquiring a user is only the beginning of the journey. The real challenge lies in onboarding, engagement, retention and monetisation.

Research from Adjust found that while global app installs grew 11% in 2024, sessions increased by only 4%, highlighting a widening gap between acquisition and sustained engagement.

Meanwhile, AppsFlyer reported that global app marketers spent $78 billion on user acquisition in 2025, up 13% year-on-year. More notably, spending on app remarketing reached $31.3 billion and accounted for nearly 29% of total app marketing investments.

The message is clear: marketers are increasingly allocating budgets toward keeping existing users active rather than simply attracting new ones.

This is where mobile martech enters the picture.

At its core, mobile martech refers to the collection of technologies that help brands manage the entire app customer lifecycle. These tools include attribution platforms, deep linking solutions, customer engagement systems, analytics software, experimentation platforms, audience segmentation tools and increasingly, AI-powered decisioning engines.

Together, they help marketers answer critical questions:

  • Which campaign drove an install?
  • What did users do after downloading the app?
  • Why did some users abandon onboarding?
  • Which customers are likely to churn?
  • What message should be delivered to which user and at what time?
  • Which actions generate long-term revenue rather than short-term engagement?

In many organisations, the answers to these questions are becoming as important as the advertising campaign itself.

The hidden technology layer behind app experiences

Consumers rarely see mobile martech at work.

A shopper clicks on a fashion advertisement and lands directly on the product page within an app. A food delivery customer receives a personalised offer shortly before dinner. A fintech app reminds users to complete a pending verification process. A streaming platform recommends content based on viewing behaviour.

These interactions often feel seamless, but they are typically powered by a combination of attribution systems, customer data platforms, deep linking technologies and engagement tools.

One of the most important capabilities is mobile attribution, which helps marketers understand where users originate and how different channels contribute to conversions.

This has become increasingly complicated due to privacy changes introduced by platforms such as Apple and Google.

Branch’s latest enterprise survey found that only 18% of app growth leaders are highly confident in their attribution data, while just 8% believe they have a fully unified view of performance across channels.

Privacy regulations and platform restrictions have created significant blind spots. Nearly three-quarters of respondents said privacy-related changes have made measurement more difficult and costly.

As Paula Mantle, Vice President of Marketing at Branch, noted, “An active, loyal user base is the real growth engine.”

Her comment reflects a broader industry shift away from vanity metrics toward long-term customer value.

Why deep linking has become a growth tool

One area of mobile martech receiving increased attention is deep linking.

Deep links allow users to land directly on a specific page inside an app rather than opening the homepage. Deferred deep linking extends this capability by preserving context even when users need to install the app first.

For marketers, this seemingly technical feature has significant business implications.

A travel company can direct users straight to a flight offer they clicked in an advertisement. A retail app can send customers to a specific product page. A streaming service can reopen a show recommendation immediately after installation.

Reducing friction often translates into higher conversion rates.

Branch’s research found that 63% of enterprise teams use deep linking to improve onboarding experiences, while 61% use it to support campaign performance.

However, only 20% use it as part of re-engagement strategies, suggesting many organisations still underutilise its potential beyond acquisition.

As competition intensifies, these seemingly small improvements in customer journeys can have outsized effects on retention and revenue.

Engagement is becoming the new battleground

If acquisition was the defining challenge of the previous app economy, engagement may be the defining challenge of the current one.

The average smartphone user interacts with dozens of apps each month, but only a small number become habitual.

This has elevated the importance of push notifications, in-app messaging, personalised recommendations and lifecycle marketing.

According to Airship’s 2025 benchmark report, applications using both push notifications and in-app messaging with advanced segmentation achieved engagement scores that were 31% higher than category averages.

The company also found that users who opted into push notifications completed 13% more purchases than those who opted out.

Meanwhile, contextual in-app messaging increased push notification opt-in rates by an average of 14%.

For marketers, these findings reinforce a growing reality: customer engagement is increasingly dependent on relevance rather than frequency.

Sending more messages does not necessarily improve outcomes. Delivering the right message at the right moment often does.

That requirement is one reason AI is becoming deeply integrated into mobile martech stacks.

How AI is changing mobile marketing technology

The rise of generative AI has sparked widespread discussion about content creation and automation. However, its impact on mobile martech extends much further.

Increasingly, AI is being applied to customer segmentation, churn prediction, audience modelling, send-time optimisation, fraud detection and campaign orchestration.

Rather than replacing marketers, AI is helping them process larger volumes of behavioural data and identify patterns that would otherwise remain hidden.

Sensor Tower reported that generative AI app downloads reached nearly 1.5 billion in 2024 and continued accelerating through 2025.

At the same time, AppsFlyer found that ad spend on AI-focused applications exceeded $824 million across iOS and Android platforms.

The adoption of AI is not limited to consumer-facing products.

AppsFlyer’s year-end analysis showed that 57% of AI agent deployments among marketers focus on technical automation tasks such as configuration, monitoring and data management. Another 32% are focused on optimisation activities.

Inna Weiner, Vice President of Product, Data and AI at AppsFlyer, observed that many marketers are still trying to establish measurable returns from AI investments, but adoption continues to accelerate across the industry.

Braze’s 2025 Global Customer Engagement Review offers further evidence of the shift.

The study found that 39% of marketing executives are already using AI-powered tools for customer data analysis, while 38% use AI to better understand customer preferences and behaviours.

Brands identified as top performers were significantly more likely to employ predictive analytics to identify customers at risk of churn.

As Astha Malik, Chief Business Officer at Braze, stated, “Pairing the power of human connection with the force-multiplying power of AI” is becoming central to modern customer engagement strategies.

Why India is emerging as a key mobile martech market

India presents a particularly interesting case study for mobile martech adoption.

The country combines massive smartphone penetration with rapid growth in digital payments, e-commerce, streaming services and AI adoption.

According to Sensor Tower, India recorded 6.2 billion app downloads during the first quarter of 2026 alone. In-app purchase revenue surpassed $300 million during the same period, representing 33% year-on-year growth.

Non-gaming applications accounted for 72% of downloads and generated more than $200 million in revenue.

The growth of AI applications has been equally striking. Downloads of generative AI apps in India increased 69% year-on-year during the first quarter.

These figures suggest that Indian consumers are not merely downloading apps but increasingly engaging with subscription services, AI-powered utilities and premium digital experiences.

AppsFlyer data highlights another important trend.

India, Indonesia and the Philippines now account for roughly 70% of Asia’s user acquisition spending. India alone contributed more than $2 billion in remarketing expenditure, underlining the growing importance of retention and re-engagement.

For brands operating in India, mobile growth strategies are becoming more sophisticated.

Success increasingly depends on understanding user behaviour after installation rather than simply driving app installs at scale.

The future of app growth is becoming more connected

The growing importance of mobile martech reflects a broader shift in how companies think about growth.

Apps are no longer isolated products. They have become the central hub where commerce, payments, loyalty programmes, customer service, content consumption and AI-driven experiences converge.

As a result, marketers can no longer rely on acquisition metrics alone.

Activation rates, retention levels, customer lifetime value, engagement quality and repeat transactions are becoming equally important indicators of success.

Mobile martech provides the infrastructure that connects these outcomes.

It links acquisition to engagement, engagement to retention and retention to revenue. Increasingly, it also provides the behavioural data that powers AI systems across customer journeys.

The app economy is simultaneously becoming more competitive, more privacy-conscious and more AI-driven.

In that environment, mobile martech is no longer simply a collection of backend tools. It is becoming the operating system for modern app growth.

For marketers navigating the AI era, understanding mobile martech may soon be as important as understanding advertising itself. The technologies working behind the screen are increasingly determining what happens on it. And as apps continue to shape how consumers shop, bank, watch, learn and communicate, the role of mobile martech is likely to become even harder to ignore.

Disclaimer: All data points and statistics are attributed to published research studies and verified market research. All quotes are either sourced directly or attributed to public statements.