The product metrics that matter more than monthly active users

Monthly active users is the metric everyone reports and the one that tells you the least. It means someone did something on your platform in the last thirty days. That is it. No intent, no value, no direction.

And yet MAU still drives product decisions. It appears in investor decks, gets reported to boards, and determines budget rounds. Teams optimise for a number that cannot predict whether users will return, whether they will ever pay, or whether they genuinely need the product.

At Livewall, we build digital products and platforms for consumer brands. We see the consequences of wrongly calibrated metrics: feature backlogs that grow off activity counts while the real usage problems sink beneath them. This article is an alternative framework, grounded in what we actually measure in practice.

Activation rate: the first honest test

Of all the users who register or download your app, how many reach the first meaningful moment? That is activation.

What that moment is depends entirely on your product. For a community platform it might be a first contribution. For a loyalty app it could be the first receipt scanned. For a learning module it might be the first unit completed. Whatever it is, you need to define it before you can measure it.

Activation rate is a far more honest signal than downloads or registrations. It reveals how well your onboarding works. High registrations with low activation means your product is not delivering on its sign-up promise within the first session.

For Sportvisunie, we built a community platform connecting anglers across the Netherlands. Activation was defined as posting a first catch report. That single moment framed everything: was the user actually able to reach the core feature, or were they lost before they got there?

Cohort retention: the metric that makes everything honest

Retention is perhaps the most brutal signal available. It strips all the gloss from acquisition numbers.

Cohort retention takes a group of users who started at the same time and follows them over weeks. How many of the users who joined in January are still active in April? If that number collapses after week two, you have a structural product or onboarding problem. Not an acquisition problem.

Many teams conclude they need more users when usage falls. But if retention is low, you are simply pouring new people into a leaking bucket. More top-of-funnel volume fixes nothing.

A useful rule of thumb we apply at Livewall: a retention curve that is still declining after the first month demands a product response, not more marketing spend.

Core usage frequency: how deep do users actually go?

Not every action in your product is equally valuable. A user who signs up for a newsletter is not the same as a user who uses the core feature daily.

Core usage frequency looks specifically at how often users perform the actions that make your product valuable. For a loyalty app that means earning or redeeming points. For a learning platform it means completing modules. For a community platform it means contributing and responding.

This metric separates active users from qualitatively active users. Those are very different things. A user who logs in monthly to check a points balance counts as MAU. A user who buys, earns, shares, and returns weekly is fundamentally more valuable to your business.

With the AvroTros Eurovision Voting App, the core action was clear: voting and participating in quizzes. Users who did both had significantly higher session depth and shared more. Core usage frequency predicted social amplification better than any other metric we tracked.

Time-to-value: how long before a user feels something?

Every digital product carries a promise. The question is: how long does it take a new user to actually experience it?

Time-to-value is an underrated metric. It forces you to look at the distance between sign-up and that first moment where a user thinks "this is it". The greater that distance, the higher your drop-off.

Reducing time-to-value does not always mean fewer steps. Sometimes it means bringing the right content or functionality earlier in the experience. An onboarding that demonstrates value instead of only collecting information consistently outperforms one that does not.

For the KLM Scalable Growth case, Livewall built a system that moved campaigns to market faster across more than fifty markets. Time-to-value here was not just a UX concept. It was a business requirement: how quickly could new campaigns go live from a single brief?

The measurement framework we use at Livewall

To be clear: MAU can appear in your reporting. But it should never be the sole metric driving product decisions.

The metrics that actually matter at product and platform level:

Activation rate — does a new user reach the first meaningful moment?

Cohort retention — are users coming back over a four-to-twelve week window?

Core usage frequency — how often do active users perform the core action per week or month?

Time-to-value — how long before a user experiences the product promise?

NPS or qualitative feedback — do users find the platform useful enough to recommend it?

These five together give a more honest picture of product health than any MAU trend. They steer you toward the right questions: does onboarding work, does the core value proposition hold, are the right users the most active ones?

A grounded digital strategy starts with the right questions and the right measurement points. Not with a number that is easy to report upward.