A practical guide to customer engagement marketing

Customer engagement has become an increasingly important area of focus for app marketers. User acquisition (UA) costs have increased across many app categories, placing greater emphasis on retention and customer lifetime value (LTV).

Customer engagement marketing focuses on how brands interact with users throughout the customer lifecycle. The aim is to understand how people use an app and respond with experiences and personalization elements that match their interests and needs.

For marketers, this means looking beyond installs and considering the full customer journey. Understanding how users behave, where they disengage or churn, and what keeps them returning can help teams improve retention and make better use of acquisition spend.

Customer engagement marketing focuses on the relationship between an app and its users after acquisition. Rather than measuring success solely through installs or conversions, it looks at how users interact with a product over time and how those interactions influence retention.

For app marketers, engagement marketing is centred on relevance. Users increasingly expect apps to reflect how they use a product. The objective is not simply to increase activity within an app, but to create experiences that encourage users to return because they find ongoing value. 

An engagement strategy should be thought of as an ongoing process rather than a single campaign or interaction.

A music streaming app might create personalized playlists based on listening habits. A retail app might notify users (e.g. via a push notification) when an item they've viewed is back in stock. In other cases, engagement may come through loyalty programs that reward repeat activity.

This is where data becomes a necessity. Whatever form it takes, effective engagement marketing depends on understanding user behaviour. Without that context, it becomes much harder to deliver messages that reflect a user's interests or stage in the customer journey.

Companies spend a lot of time and money to acquire new users through data-driven, well-planned marketing campaigns, but it has long been known that retaining existing users is less expensive and more lucrative. In fact, way back in 2014 we already knew that increasing customer retention rates by 5% increases profits by 25% to 95%, thanks to research from Frederick Reichheld of Bain & Company. 

Customer engagement analysis advantages: 

• It helps marketers understand how users actually use a product: Engagement data reveals which features attract attention, how often users return, potential friction points, and where activity begins to decline. These insights allow teams to identify opportunities to improve the user experience and refine their marketing strategies.
• It creates opportunities to deliver more relevant experiences: The more marketers understand about user behaviour, the easier it becomes to tailor communications and in-app experiences to different audiences. 
• It increases the value of engagement data across the business: Insights generated through engagement marketing are often useful beyond the marketing team. Product teams, CRM specialists, sales, and customer success teams can all use behavioural data to better understand how customers interact with an app.
• It supports customer lifetime value. User value is shaped by what happens after acquisition. Ongoing engagement can encourage repeat purchases, subscription renewals, or continued use of a product, depending on the app's business model.

So how do you get it right? Start with the four Ps of customer engagement, which ultimately provide a roadmap to building out a better engagement strategy. 

The following principles can help marketers create more effective engagement strategies.

1. Personal: Personalization is a core part of customer engagement. Users are more likely to engage when an app reflects their behaviour and interests. Rather than delivering the same experience to everyone, engagement strategies adapt to the individual user. This will often take the form of personalized product suggestions, rewards programs, real-time notifications of sales, or other special offers based on what the data reveals about preferences and expectations. 
2. Predictive: Predictive engagement uses behavioural data to identify patterns in user activity. These insights can help marketers understand when a user is likely to engage with an app. For example, a food delivery app might know a user likes to order takeout on Friday nights. With that in mind, it can use push notifications to offer discounts. 
3. Proactive: Proactive engagement puts insights into action. Rather than waiting for users to seek out information, marketers can anticipate needs and respond at the appropriate moment. This helps create a smoother experience and can reduce the likelihood of disengagement. Being proactive on these channels is about more than just fielding customer complaints. Ryanair's TikTok strategy is a well-known example of proactive engagement. Rather than limiting social media to customer service and promotions, the airline uses trending formats, humor, and audience participation to create content that encourages ongoing interaction with the brand. The result is a social presence that generates engagement long before a customer is ready to book a flight.
4. Pervasive (omnichannel): Another way of saying that your customer engagement needs to be pervasive is to say you need an omnichannel engagement strategy. Now more than ever, consumers expect to be able to engage with companies on their terms. An interaction that begins in an app may continue through another channel, and brands need to be prepared to support users across those interactions. See deep linking.

Engagement strategies vary from one app to another, but they are built around the same goal: creating experiences that give users a reason to return. The following examples show what that can look like in practice.

Netflix

Famously, personalization sits at the centre of Netflix's engagement strategy. Recommendations are tailored to each user based on their viewing behaviour, helping subscribers discover content that reflects their interests. As users continue interacting with the platform, Netflix gains a deeper understanding of what they enjoy watching, allowing recommendations to become more accurate over time. The result is an experience that feels highly individual, encouraging users to return and continue exploring new content.

Duolingo

Duolingo has built its product around consistent user engagement. Features such as progress tracking, rewards, and streaks encourage learners to return regularly and continue building language skills over time.

As the company expanded its marketing efforts, it wanted a clearer understanding of how acquisition activity influenced retention and long-term value. Using Adjust as its source of truth, Duolingo gained deeper visibility into user journeys and the metrics that mattered most to the business, including day 7 retention and LTV.

These insights helped the team refine its user acquisition strategy and make more informed marketing decisions. As a result, Duolingo significantly improved both retention and LTV while reducing media costs through better fraud detection and measurement. 

Read the full success story. 

PAYPLESS

PAPYLESS, the Japanese company behind the manga platform Renta!, focused on understanding when users disengaged from the app and what behaviours typically preceded an uninstall. By identifying these patterns, the team gained a clearer picture of where engagement was declining and where intervention was most likely to be effective.

These insights informed re-engagement campaigns aimed at users who were at risk of churning, as well as users who had already uninstalled the app. Working with Adjust, PAPYLESS achieved a 21% increase in app reopen rate and improved return on ad spend (ROAS) by 50%.

Read the full success story. 

Tips and tools for engagement marketing

Even the strongest engagement strategy depends on having the right foundation in place. As apps generate more behavioral data and engagement spans more channels, it becomes increasingly important to bring that information together in a way that marketers can actually use.

A unified view of user activity gives marketers a clearer understanding of how engagement efforts influence behaviour, along with the context needed to evaluate strategies. Advances in AI are also helping marketers work more efficiently by making it easier to analyze large volumes of data and uncover patterns that might otherwise go unnoticed.

To learn how Adjust helps app marketers measure engagement and make more informed decisions, request a demo today.