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✨ Byproducts of User Engagement

Byproducts

Engagement doesn’t only produce retention and transactions. Done well, it throws off a set of byproducts that compound over time: a stronger brand, communities that recruit on your behalf, data that fuels the next turn of the loop, qualitative feedback, customer satisfaction, and team capability. This part of the Blueprint covers each one.

How engagement builds a brand that works for you at every stage

Brand-building is usually treated as an upfront cost: ads, sponsorships, design. But engagement produces brand value as a byproduct. Every enjoyable session, every useful notification, every time the app quietly does what it promised, adds to how users feel about the brand. That accumulated awareness and saliency pays off in ways that are hard to put on an invoice but show up clearly in the numbers.

Across the LiveWell journey, brand affinity, with LiveWell itself, with partner companies, and with Zurich as its main sponsor, played a role at every stage of engagement. An emotional connection with the brand makes a user more likely to complete the conversion event in front of them, whether that is downloading, registering, or simply coming back the next day. A trusted brand lowers friction at every node in the value loop.

Before a user ever opens the app, the brands around it are already working. Endorsement from names prospects trust, such as Polar, Endu and Philips, encourages installs. Confidence in the Zurich brand gives policy holders a reason to download. This is brand equity spent at the top of the funnel, before any of the app’s own engagement has begun.

The effect does not stop at acquisition. The majority of LiveWell’s long-term users, those still active beyond their 180th day, carry a Zurich or partner affiliation, and affiliated users are far more likely to stay than those who arrived through unaffiliated channels.

You cannot directly buy the brand value that engagement creates, and a poor experience can erode it just as quietly as a good one builds it. Treat saliency and reputation as compounding assets: every good experience adds to them, and they raise conversion at every stage of the loop.

When users bring other users

Some of the most valuable engagement a platform produces is users acting on each other. Apps and platforms that allow social elements, sharing, group activity, visible participation, gain a byproduct that paid acquisition cannot replicate: users who recruit, retain and re-engage other users on your behalf.

At LiveWell, in-app events such as Boosts triggered enrolment drives among social groups like colleagues and friends. People join when the people around them are joining. This herd behaviour is not a marketing spend, it is a byproduct of having something worth participating in together.

Prospects are far more willing to commit when they can see that their colleagues are already using and enjoying the app. Social proof does quietly what a campaign cannot: it answers the prospect’s unspoken “is this actually worth my time?” with evidence from people they already trust.

Shared activity also keeps people engaged for longer. A Boost is more compelling when a colleague is taking part; an activity is more likely to be repeated when it is social. A January 2025 Boost communicated through Instagram and email lifted the affiliated cohort’s Normalised MAU by roughly 50%, a spike driven by people pulling in people. The community becomes a reason to return that does not depend on any single feature, which makes engagement more resilient.

Community effects are nebulous and hard to attribute, but they compound. Every socially-driven enrolment or return is a user you did not have to pay to acquire, and a relationship that is harder for a competitor to pull apart. Design for participation, make activity visible, and let users do some of the work for you.

The byproduct that fuels everything else

As users interact with the platform, they generate data, and that data is the most useful byproduct engagement produces. Every click, navigation and conversion is feedback that tells you where users find value and where they abandon. The loop only exists when a user willingly participates, but once they do, the data comes as a byproduct, with no extra effort required.

That data does not just sit there, it feeds straight back into engagement. It lets you identify successful conversion events (actions that lead to further, future engagement), remove friction in the user lifecycle, and increase the share of users who pass each stage. Data is both a byproduct of the loop and the fuel that drives the next turn of it. The Onboarding Runway covers how the foundation for this gets laid before the loop even begins.

One of the most valuable types is behavioural data. At LiveWell we noticed that long-term users tended to take three specific actions to customise their experience while in the loop. We moved those three actions into onboarding, and three months later we saw an increase in long-term users. We had used behavioural data to deliberately guide new users into a pattern we already knew predicted retention, and it worked.

Data also powers better personalisation, which leads to more enjoyable experiences and more future engagement. It underpins segmentation and targeted communication (push, email and in-app messages), which are essential for re-engaging users and preventing abandonment when someone has been inactive for a while.

Beyond fuelling engagement, the insights themselves carry value. An aggregated, anonymised understanding of how a population behaves is an asset in its own right, one that can inform partners, products and decisions well outside the app. Engagement turns ordinary user activity into a continuous, monetisable stream of insight.

You cannot generate this data without engagement, and you cannot run a serious engagement loop without it. Get started, instrument properly, and treat the data your users generate as the compounding asset it is.

When engagement converts into revenue

The qualitative signal behind the numbers

Alongside the hard behavioural data, engagement produces a constant stream of qualitative feedback: app store reviews, focus groups, surveys, in-app ratings, support emails and poll responses. It is messy and hard to quantify, but used well it is one of the most powerful tools you have. Behavioural data tells you what users did; feedback tells you why.

You do not have to manufacture feedback, engaged users volunteer it. At LiveWell, polls let users tell us in their own words that they fit the persona we were targeting: a majority of users active beyond six months identified as motivated on their fitness journey. That is insight no clickstream can give you, and it arrived as a byproduct of users being engaged enough to respond.

Feedback is most valuable when it reaches the people who can act on it undiluted. There is a growing temptation to put AI and automation between the team and the raw user voice, summarising, scoring and filtering it before anyone reads it. Over-integrate here and you risk smoothing away the very signal that matters: the sharp, specific complaint or the unexpected piece of praise that reveals a real strength or weakness. Aggregate for scale, but never lose the unfiltered voice entirely.

Feedback is cheap to collect and easy to ignore. Treated as a first-class byproduct of engagement, and kept close rather than abstracted away, it points you at the strengths to build on and the weaknesses to fix before they show up in churn.

A quiet signal with real-world consequences

Customer satisfaction is one of the intangible byproducts of good engagement. It rarely announces itself, a satisfied user simply keeps showing up, and it is easy to under-value precisely because it is quiet. But satisfaction has real effects on the business, and dismissing it because it is hard to quantify is a mistake.

We have satisfaction measures in place, ratings, surveys and support channels, but they are skewed by who bothers to use them. People with a problem complain the loudest, so explicit satisfaction signals tend to over-represent the unhappy. A truer read of overall satisfaction comes from behaviour: genuinely satisfied users return, complete activities and stay in the loop. Behavioural analytics are the backstop that keeps the loudest complaints in proportion.

For many businesses the app is not the whole relationship. Where there is also a face-to-face or offline side, satisfaction flows between the two. A frustrating app experience can add friction to an in-person interaction, and a good one can smooth it. The reverse holds as well: a positive real-world relationship raises goodwill and tolerance inside the app. The digital experience and the physical one are not separate ledgers.

Satisfaction is a leading indicator dressed up as a soft metric. Read it through behaviour rather than complaints alone, and remember that the feeling a user leaves the app with does not stay in the app, it follows them into every other touchpoint you have with them.

Soft and hard returns from building for engagement

Standing up the systems that track, test and grow engagement produces a byproduct that outlasts any single feature: capability. Developers, analysts and other stakeholders accumulate experience, learn best practices, and get sharper with every feature and improvement they ship. The platform you build to engage users quietly upgrades the team that builds it.

Engagement work pushes an organisation toward a continuous improvement cycle: instrument, test, learn, repeat. LiveWell’s short, continuous delivery cycle gave room to tackle user issues quickly, learn from A/B tests, and keep the product evolving to meet newly identified needs. That habit, treating every change as an experiment, is itself a durable asset. It makes the next improvement faster and better-informed than the last.

The returns are not only soft. Some businesses build bespoke features to drive engagement that turn out to have value beyond their own app. Those features can be licensed or sold, becoming a new source of revenue in their own right. What began as an engagement mechanism becomes a product.

The technology you build to drive engagement pays back twice: once in a more capable team and a stronger test-and-learn culture, and again, sometimes, in features valuable enough to sell. Budget for engagement infrastructure as an investment, not a cost, because the byproducts keep paying out long after the feature ships.