Sales forecast
A sales forecast is an evidence-based estimate of how much revenue the team will actually bring in over a period, built from open deals and past conversion.
How it is built
The plan says what the company wants. The forecast says what is likely to happen. The common method uses the pipeline: each open deal is weighted by the probability of its stage, and the results are summed.
A simple example: a deal of 1,000 at a stage where historically 20% of deals close counts as 200. A deal of 1,000 at the final stage with 70% probability counts as 700. Adding all deals gives the forecast. The percentages are illustrative and should come from your own history.
Why it matters
A forecast lets the owner see a shortfall before the month ends, not after. It affects decisions about hiring, purchasing, marketing budget and cash. When forecast and plan diverge early, there is still time to add leads, focus on large deals or adjust expectations.
Over time, comparing forecast with fact also shows how honest the pipeline is.
Typical mistake
Building the forecast on reps’ optimism. Asked “will it close”, people say yes more often than reality allows. Deals with no activity for weeks still count at full weight.
Another mistake is ignoring the sales cycle. A deal that opened yesterday at a stage that normally takes two months will not pay this month, whatever its probability.
What to do
Base stage probabilities on real past data and recalculate them from time to time. Exclude deals without a recent action or a dated next step. Compare forecast and fact every month and look at where the error came from.
More in Signals
- A sales director who can’t see each rep: why the CRM lies and pipeline meetings go nowhereA sales director loses sight of each rep because the CRM is filled in by hand and after the fact, while the real work happens in messaging apps outside the system. Decisions end up based on gut feeling, the best and worst reps blur into an average, and problems surface after the client is gone. The source of truth is the conversation itself: reply speed, forgotten clients, promises kept and money per person; and the meeting should run on exceptions, not on retelling.
- Why your CRM isn't working in sales, and what to do about itA CRM stops working when it lives apart from where the selling happens: clients write in messaging apps, sales reps answer from personal phones, and the records get an after-the-fact retelling. The data starts to drift, you stop trusting it, and the CRM goes empty. The fix is not more fields or penalties. It is order: you decide who owns the numbers and the conversations, what counts as a fact and who answers for it, and then you work by those rules yourself.