Funnel conversion rates: when stage win rate drops

Global Stage Attrition is a structural drop in the stage win rate of one stage that affects not individual reps or regions but the majority of teams and regions. It points to a cause outside sales. The recommended response is a win/loss analysis. Conversion rate here means this rate: the share of a stage's decided deals that were won.

The stage win rate is falling, and it is falling across most teams

The quarter's numbers are in. Late in the sales process, fewer deals are won than usual. Proposals go out and negotiations take place, but fewer of them end in a signature.

The first instinct is to look for the team that is underperforming. This time there is none. Experienced reps are losing more often, and so are the new ones. The region that normally delivers sits below its usual level, just like the others.

The sales meeting produces the familiar explanations: too little follow-up, weak negotiation, poor process discipline. Each one sounds plausible. None of them explains why every team slips at the same point at the same time.

That combination is the pattern. The stage win rate of one specific stage, meaning one phase of the sales process, falls structurally. The stage sits in the middle or at the bottom of the funnel. And the drop does not appear locally; it appears for the majority of teams and regions.

The stage win rate is the share of won deals among the deals that stood in that stage and were decided. Open deals do not count. The stage win rate is not a transition into the next stage, and it is not a fixed rule of thumb. Funnel Economics calculates it from your own history: per rep, opportunity type, stage and period. The opportunity type separates, for example, new business from installed-base business.

In the example, no single team stands out. What stands out is that all regions show the same picture.

Why a drop across most teams points away from a sales problem

Reps differ in skills, aptitude and attitude. An execution problem therefore usually has a location: a person, a team, a region.

With Global Stage Attrition, that location is missing. The drop is global and affects the majority of teams and regions that carry the result in sales.

The reasoning is a matter of probability. The chance that an entire sales organisation forgot how to sell at the same moment is extremely small. A global collapse of the stage win rate in a late stage is therefore almost never a problem of operational execution.

The causal chain points to a shock from outside instead. The pattern names three possibilities:

• a loss of product-market fit
• a new competitor that nobody has recorded yet
• a pricing problem that comes from the wider economy

This is why Funnel Economics also calls the pattern the “Product-Market-Fit Alarm”.

The drop is not a matter for sales alone. Funnel Economics applies the stage win rates of the past to every open opportunity. The result is a forward view of what the pipeline is likely to be worth.

The metric behind that view is bEFV, the structural expected value of the funnel. bEFV multiplies each opportunity's amount by its stage win rate. A stage win rate that falls for the majority of teams and regions is therefore a topic for revenue planning as well.

First the trend, then the question of where

The check has two steps, and the order matters. Only once the drop is confirmed as a trend is it worth asking where it appears.

Is the drop structural?

One weak quarter is not a trend. A comparison with the prior period alone ignores seasonal and periodic effects.

Funnel Economics therefore requires two reference points for every statement about a trend. The first is the period immediately before. It shows the short-term, operational change.

The second reference point lies further back: the same period a year earlier. It removes seasonality and shows the structural change. With quarters, these could be the prior quarter and the same quarter a year earlier.

A drop counts as structural only when the current value sits below both reference points. If the value is below only one of the two, the trend is not confirmed.

Is the drop local or global?

Two dimensions are checked: the rep and the region. That is possible because the stage win rate is measured per rep.

If the drop shows only for individual reps or in one region, it is local. That is a different problem, and the answer lies with those people or that region. If the drop shows in the majority of teams and regions, it is global. That is Global Stage Attrition.

One rule protects against false conclusions: every rate needs its case count beside it. A rate that rests on a handful of opportunities is not a statement.

When a stage win rate falls for the majority of teams and regions, the cause rarely sits in sales. Confirm the trend first, then separate local from global.

A win/loss analysis instead of sales training

The obvious reaction to fewer closed deals is more pressure on sales: training, closer management, extra reviews. With a global drop, that does not address the probable cause.

The recommendation is an immediate win/loss analysis through product marketing. It looks for unregistered competitors, feature gaps and pricing mismatches.

A win/loss analysis reviews won and lost deals and asks customers for their reasons. It tests the hypothesis that the pattern only raises. Three roles can contribute to it.

What the executive team can contribute

The pattern's recommendation is addressed to the executive team. For a global drop in one stage, “execution” is not a sufficient explanation from sales management.

For the executive team, that means commissioning the win/loss analysis and changing the question. The question is no longer who is selling badly. The question is what has changed in the product, the competition or the price.

The answers can lead to decisions that do not sit in sales, for example about the product or the price. As a rule, the executive team brings such decisions together.

What marketing can contribute

The win/loss analysis runs through product marketing. That makes sense: product marketing can bring in the view of the competition, the feature set and pricing in the market.

A new competitor can cost deals before anyone has recorded it as a competitor. The pattern names this case explicitly. Conversations with lost customers can make such a competitor visible.

If the analysis confirms the hypothesis, that is a task for the marketing function. More pressure on sales does not solve the problem then.

What RevOps can contribute

RevOps can deliver the two checks that everything else rests on: the confirmed trend and the answer to the question of where.

A clean basis of comparison helps. Stage win rates are calculated per opportunity type. New business and installed-base business therefore do not belong in one shared rate.

Every figure also states its level: whole organisation, region, team or individual rep. Only then can anyone check whether a drop is local or affects the majority of teams and regions.

What Global Stage Attrition is not

Not every weak value in the funnel is this pattern. Three distinctions help to place a finding.

A local drop is a different problem. Separate metrics exist for comparing individual reps. PAS, the combined score per rep, multiplies a rep's win rate across all their decided deals by their commercial contribution. That is not the stage win rate.

Over-ageing is a different pattern as well. Funnel Calcification, the over-ageing of the pipeline, describes a rising share of open pipeline value in the health bands DELAYED and STALLED. Global Stage Attrition describes a falling stage win rate.

Delay is not the same thing either. BPV, the measure of time spent per stage, shows how far the actual time opportunities spend in a stage deviates from the stage's SLA. The SLA is the time allowance of a stage. Each open stage carries two SLA values per opportunity type, which the organisation sets itself; BPV compares against the first, the target value. BPV measures duration, not the stage win rate.

How to check the pattern in your own data

1. Fix the stage and the opportunity type in question.
2. Compare the stage win rate of that stage with the prior period and with the same period a year earlier.
3. Split the value by rep and by region, each with its case count.
4. If the drop affects not just individual reps or regions but the majority of teams and regions, commission a win/loss analysis.

The four steps do not replace the search for a cause. They show which direction that search should take: away from the question about individual people and towards the question about product, competition and price.