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Blog · Forecast and pipeline

What is a good pipeline coverage ratio? The answer depends on three things you can measure

The honest answer to what pipeline coverage a team needs: the widely quoted 3x is a rule of thumb that only holds at one win rate and one sales cycle. This page gives the arithmetic behind 3x, the three measurable things that set the right ratio for one team, the historical win rate on qualified pipeline, the deals that will close in the period, and the pipeline by stage, and the table to compute before anyone quotes a multiple.

The short answerThe right pipeline coverage ratio is one divided by the team's historical win rate on the pipeline it counts, adjusted for the deals that can actually close in the period. The 3x rule assumes a 33 percent win rate on qualified pipeline and a sales cycle shorter than the period. A team that wins 20 percent needs 5x; a team that wins 50 percent needs 2x; a team whose cycle is longer than the quarter needs to count only the deals dated inside it. Compute the win rate from closed deals, the in-period pipeline from close dates, and the ratio from those two, and the multiple stops being a guess.

Pipeline coverage is pipeline divided by target, and the question is what the quotient should be. The answer is another number the team already has.

The rule and its arithmetic

Coverage needed = 1 ÷ win rate on the counted pipeline

Win rate on qualified pipeline Coverage needed
50% 2.0x
33% 3.0x
25% 4.0x
20% 5.0x
15% 6.7x

The 3x rule is the 33 percent row. A team's win rate is on its closed deals; the rule does not need to be borrowed.

The three things that decide it

1. The historical win rate, at the stage the pipeline is counted

Win rate = deals closed won ÷ deals that reached the counted stage, over the last four quarters, by count and by value

Compute it at the stage the pipeline will be counted at. If coverage counts everything past qualification, the win rate is on deals that reached qualification. By value as well as count: large deals often win at a lower rate, and value-weighted coverage is the one that pays the target.

2. The pipeline that can close in the period

Only deals with a close date inside the period count. A sales cycle longer than the period means much of the open pipeline belongs to the next one.

Deal Value Stage Close date In period?
1 80,000 Proposal 20 Nov Yes
2 120,000 Qualified 15 Jan No, next quarter
3 40,000 Negotiation 5 Dec Yes

A raw pipeline of 240,000 is in-period pipeline of 120,000. Against a 100,000 target the coverage is 1.2x, not 2.4x.

3. Pipeline by stage and age

A ratio can be met with deals that will never close. Stage and age per deal:

Stage Deals Value Median age (days) Norm age
Qualified 12 600,000 35 30
Proposal 6 400,000 90 45
Negotiation 3 200,000 20 25

Six proposals with a median age of ninety days against a norm of forty-five are mostly dead. Coverage counting them is coverage on paper. The pipeline coverage worked example works the age rule on ten deals.

The table to compute

Measure Formula From
Win rate, by count and value Won ÷ reached stage, trailing 4 quarters CRM closed deals
Coverage needed 1 ÷ win rate Above
In-period pipeline Sum of value where close date in period and stage ≥ counted CRM open deals
Coverage actual In-period pipeline ÷ target Above and the target file
Aged pipeline Value in deals past the stage's norm age CRM open deals
Coverage excluding aged (In-period − aged) ÷ target Above

Six rows per team, per period. The pipeline coverage by industry hub covers desks where the pipeline is a renewal calendar or a tender list rather than a deal list.

Where the question goes wrong

3x applied to a 15 percent win rate. Half the target, forecast with confidence.

Next quarter's deals counted. A long cycle makes every quarter look covered and every quarter miss.

Stage mismatch. Win rate computed on proposals, coverage counted from first meeting.

Aged deals kept. Coverage at 4x, most of it in deals older than any deal that has ever closed.

The short answer

A good pipeline coverage ratio is one over the team's own win rate at the stage it counts, applied to the pipeline dated inside the period, with aged deals removed. For most B2B teams that is between 2x and 6x, and the number for one team is on one table from its own CRM. Covirage produces the table from the deal export every week, with the win rate recomputed each quarter and the age norm per stage from the team's own closed deals.

Questions people ask

Where does 3x come from?

From one win rate. If a third of qualified pipeline closes, three times the target is what you need. It became a rule because it was easy to repeat, and it survives because most teams do not compute their own win rate. Teams that do usually find they need somewhere between 2x and 6x.

What counts as pipeline in the ratio?

Deals with a close date inside the period, at or beyond the stage where the win rate was computed. A deal dated next quarter is not coverage for this one. A deal at the first stage counts if the win rate was computed from first-stage deals, and does not if it was computed from qualified ones. The stage and the window must match the win rate's.

Is more coverage always better?

No. Coverage at 8x with a 20 percent win rate is a team that either qualifies late or leaves dead deals open. The ratio is a check on sufficiency, not a target to maximise. The pipeline's age by stage is the number that tells the two apart.