The 5 places revenue leaks (and how to spot yours)

Ask a leadership team why revenue is behind plan and you will usually get five answers. Marketing says the leads are there but sales does not follow up. Sales says the leads are bad. Customer success says the deals were oversold. Finance says the CAC is too high. The CEO says the market changed.

They are all partly right, which is why nothing gets fixed. Revenue in a digital company is a system, and a leak in one stage shows up as a symptom in another. Weak qualification looks like a sales problem. A pricing problem looks like churn. Bad data looks like everything.

We use a simple model to make the leaks visible: the Leverage Now Revenue System, five stages that every digital company runs whether or not it has names for them. Motion, Acquire, Convert, Retain, Operate. Each stage has one metric that tells you whether it is leaking, and each leak has a first move. Pull the five metrics and you will know where to start.

Motion

The leak. The company sells to anyone who shows up. The ideal customer profile is a slide, not a filter. Pricing explains the product instead of how customers buy. Marketing, sales and product describe three different buyers.

The one metric: win rate inside the ICP versus outside it. Take the last two quarters of closed deals and tag each one as inside or outside your ideal customer profile. If you cannot do the tagging because the profile is not written down, that is the finding. If you can, compare the win rates, the deal sizes and the sales cycle length of the two groups. A healthy motion wins inside the profile at a clearly higher rate and spends most of its pipeline there.

How to read it. A small gap means the profile is too broad to be useful. A large gap with most of the pipeline outside the profile means acquisition and qualification are ignoring it. A large gap with most of the pipeline inside the profile means the motion is working and the leak is elsewhere.

The first move. Write the profile down as rules a CRM can apply: segment, size, buyer, trigger. Then make it the first filter in qualification. Nothing else in the system improves until this is explicit.

Acquire

The leak. Pipeline comes from channels nobody can rank. Spend goes up because last quarter's target was missed, not because the channel earned it. The only acquisition cost anyone knows is blended.

The one metric: cost per qualified opportunity, by channel. Not cost per lead, which rewards volume, and not blended CAC, which hides the mix. For each channel, divide what it cost over a quarter by the number of opportunities it produced that passed qualification. Include people and agency time, not only media.

How to read it. Channels usually sort themselves into three groups: a few that produce qualified pipeline at a cost you would repeat, a middle group that produces volume but little qualified pipeline, and a tail that produces almost nothing. Most companies fund all three equally.

The first move. Reallocate from the tail to the first group before launching anything new. Then fix measurement so the ranking updates every month, because channel economics change faster than annual plans.

Convert

The leak. Deals move through stages that mean something different to every rep. Discovery is skipped when the pipeline is thin. Deals sit in negotiation for a quarter. The forecast is a conversation.

The one metric: conversion from first meeting to closed-won, by stage. Lay out the stages and count how many deals entered each one and how many left it toward a win. The stage with the sharpest drop is where the leak is. Then add time in stage: a stage where deals both drop and linger is where buyers go quiet and reps lose control of the process.

How to read it. A drop right after the first meeting usually means qualification happens too late. A drop before the proposal means the champion cannot build the internal case. A drop at negotiation means pricing or packaging is doing the selling. Long time in stage anywhere usually means there is no exit criterion, so nobody knows what has to happen for the deal to move.

The first move. Give every stage one exit criterion defined by something the buyer does, and review the pipeline weekly against those criteria. Reps will complain for two weeks. The forecast will become a number.

Retain

The leak. Churn is discovered at renewal. Expansion happens when a customer asks. Onboarding is a welcome email. Meanwhile, acquisition pays full price for new customers to replace the ones who left.

The one metric: net revenue retention, by cohort. Group customers by the quarter they started and track what each cohort pays over time, including expansion, contraction and churn. A single blended retention number can look fine while the newest cohorts are quietly worse than the old ones.

How to read it. Cohorts that lose revenue early, in the first months, point to onboarding and activation. Cohorts that erode slowly point to value realization and account management. Cohorts that never expand point to a missing expansion motion rather than to churn.

The first move. Pick the leading indicator that predicts the drop you see, usually activation or a usage threshold, and give every account that misses it an owner and a play. Retention changes take a renewal cycle to show up in revenue; leading indicators show up in weeks.

Operate

The leak. Marketing, sales and customer success count different funnels. The CRM has three fields for the same thing and none of them is filled. The board sees three dashboards with three numbers. Automation and AI tools generate work nobody owns.

The one metric: forecast accuracy. Compare the revenue the company forecast at the start of each of the last four quarters with what it actually booked. The gap is a measure of how much the system can be trusted, because an accurate forecast requires clean data, shared definitions and a process people follow.

How to read it. A forecast that is consistently optimistic points to stages without exit criteria and to deals that nobody wants to close as lost. A forecast that swings in both directions points to data quality and to teams working from different definitions. A forecast nobody produces is its own answer.

The first move. Agree on one definition for each stage of the funnel across teams, clean the fields the forecast depends on, and hold one monthly revenue review where marketing, sales and success read the same numbers. Automate only after that.

Five metrics, one system

Pull the five metrics and you will almost always find one or two stages leaking more than the others. Fix those first, in the order the system runs: a better motion makes acquisition cheaper, cleaner acquisition makes conversion easier, and better conversion gives retention customers who were sold the right thing. Operations holds it together.

If you want a faster read, the GTM Readiness Assessment asks twelve questions across the same five stages and shows you a score for each one, your biggest leak and the first three moves we would make. It takes about four minutes.