What it means
A pipeline is simply the list of deals in progress, each with a value, an expected close date and a stage such as qualified, proposal sent or in negotiation. Pipeline value totals the money attached to those deals, and because it looks forward rather than backwards it fills the gap that reported revenue leaves.
Reported sales tell you what happened; pipeline value tells you what might happen next quarter. The raw total is easy to calculate and easy to mislead yourself with, since it treats a first conversation the same as a signed but unsigned contract.
Weighted pipeline value fixes this by attaching a probability to each stage, commonly 20% at qualification, 50% at proposal and 80% at negotiation, then multiplying each deal by its own probability. The weighted number is usually the one quoted to a board.
The most useful thing derived from pipeline value is pipeline coverage, which divides the raw pipeline by the sales target for the period. Many businesses find they need three to four times coverage because most opportunities do not close, and if coverage falls below that threshold the shortfall is visible months before it shows up in revenue.
Pipeline value only works if the underlying data is honest, which is a management problem rather than a mathematical one. Deals that have gone quiet, close dates that keep sliding and values entered optimistically all inflate the total and produce forecasts that miss.
Regular pipeline hygiene, removing or reclassifying stale opportunities, matters more than refining the probability percentages. There is also an important distinction between pipeline value and bookings.
Pipeline value is potential business, bookings are signed contracts, and revenue is what actually gets recognised in the accounts as the service is delivered. Confusing the three is one of the fastest ways to build a forecast that no finance team can support.
In practice
Real-world examples.
Example
A commercial cleaning company enters a quarter with $1,200,000 of raw pipeline against a $500,000 target, giving 2.4 times coverage. The sales director responds by pulling two salespeople off account management and putting them on new business calls for six weeks.
Example
A recruitment agency finds its weighted pipeline has barely moved in two months even though the raw total has grown. Investigation shows new opportunities are being added at the earliest stage while the same late stage deals keep slipping, which points to a closing problem rather than a lead generation problem.
Example
A manufacturing equipment supplier assigns a 90% probability to a $400,000 order that has been verbally agreed. Finance insists on 70% until purchase order paperwork arrives, because the buyer's capital budget has not yet been signed off.
Think of it
“Pipeline value is the total worth of all deals you're currently working on-your sales opportunity pool.
Formula
Calculation
Raw pipeline value = sum of the value of all open opportunities
Weighted pipeline value = sum of (deal value x probability of closing)
Pipeline coverage = raw pipeline value / sales target for the period
A business services firm has three groups of open deals. It has 12 opportunities worth $50,000 each at the qualified stage with a 20% probability, 8 opportunities worth $75,000 each at proposal stage with a 50% probability, and 5 opportunities worth $120,000 each in negotiation with an 80% probability.
Each group totals $600,000, so raw pipeline value = $600,000 + $600,000 + $600,000 = $1,800,000.
Weighted pipeline value = ($600,000 x 0.20) + ($600,000 x 0.50) + ($600,000 x 0.80) = $120,000 + $300,000 + $480,000 = $900,000. If the quarterly target is $600,000, pipeline coverage is $1,800,000 / $600,000 = 3.0 times, which sits at the lower end of the usual comfort zone.Case study
Seen in the real world.
The following is an illustrative, fictional example. Kestrel Field Systems, an invented industrial software company, reported a raw pipeline of $6,400,000 against a $1,600,000 quarterly target and told its board that coverage of 4.0 times made the number safe.
A new head of sales cleaned the pipeline before her first forecast meeting. She removed 41 opportunities with no recorded activity for more than 90 days and reset close dates that had been pushed forward more than twice, which reduced the raw pipeline to $3,200,000 and coverage to 2.0 times.
In this fictional case the quarter closed at $1,100,000, short of target but almost exactly what the cleaned weighted pipeline had predicted. Kestrel adopted a rule that any opportunity untouched for 45 days moves back a stage automatically, and its forecast accuracy improved for the following three quarters.
Watch out
Common mistakes.
- Quoting the raw pipeline total as though it were expected revenue, when most opportunities in it will never close.
- Leaving dead deals in the pipeline because removing them makes the total look worse, which quietly destroys the forecast's usefulness.
- Using the same probability for every deal at a given stage without adjusting for deal size, customer type or how long it has been stuck.
Questions
People also ask.
What is a healthy pipeline coverage ratio?
Three to four times the target is a common benchmark, though a business with a high win rate can operate safely on less.
Does pipeline value belong in the financial statements?
No, it is a management metric only; nothing enters the accounts until a contract exists and revenue is earned.
How often should pipeline value be reviewed?
Weekly for the current quarter and monthly for later periods, since the value of the measure comes from acting on it early rather than reporting it after the fact.
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