Pomio Insights

InsightsCompare·Author: Pomio·

Should a CRM forecast be compared with actual results every month?

Direct answer

Yes, once a month, and it takes less time than most teams expect. Write down at the start of the month which deals the CRM forecast expects to close and for what amount. At the end of the month, compare that list with what was actually won, lost or pushed to a later month. The goal is not to blame a salesperson for a missed number but to learn where the forecast goes wrong: deals that were counted too early, probabilities that are always too optimistic, close dates that slip every time, or won deals that were never in the forecast at all. Three or four months of this comparison tell you more about the quality of your pipeline than any dashboard. Pomio CRM keeps amount, stage, probability, expected close date and owner on the same deal, so the comparison is a filter and an export rather than a reconstruction.

Most SMEs look at their CRM forecast at the start of the month and then never look back. If the month ends well, nobody asks why; if it ends badly, the explanation is usually a story about one big deal. Without comparing the forecast with the result, a team cannot tell whether its forecast is reliable or simply lucky. Pomio CRM treats this monthly comparison as a normal part of pipeline hygiene.

Why the comparison matters

A forecast is only useful if you know how much to trust it. Management uses it for cash planning, hiring and purchasing; sales uses it to decide where to spend time. When the forecast is consistently 30 percent too high, every decision based on it is too optimistic. You only find that out by putting the forecast next to the actual result, month after month.

What to compare

Forecast versus won amount. The total that the CRM expected for the month against the total that was actually closed won.

Deals that slipped. Deals that were expected this month but moved to a later close date. A deal that slips three months in a row is usually not a real deal; see why slipped close dates should be updated the same day.

Surprise wins. Won deals that were not in the forecast at all. Many of them point to deals that were entered too late or kept outside the CRM.

Lost deals that were counted. Deals in the forecast that were lost. Check at which stage they were and whether they should ever have been counted, as explained in why unqualified deals poison sales forecasts.

How to do it without extra work

On the first working day of the month, save or export the list of open deals with an expected close date in that month, including stage, probability, forecast category and amount. On the last working day, take the same list and mark each deal as won, lost or slipped. Add the won deals that were not on the list. Thirty minutes in the monthly sales meeting is enough to discuss the pattern. Do not turn it into a judgement of individual people; the question is whether the definitions and habits in the CRM produce a forecast you can plan on.

What to change based on the result

If deals are counted too early, tighten the exit criteria of the stages that feed the forecast. If probabilities are always too high, lower the probability per stage. If close dates keep slipping, agree that a deal without a concrete next step does not count. If wins come out of nowhere, agree that every serious conversation becomes a deal in the CRM within a day. Change one thing at a time, so the next comparison shows whether it helped.

How Pomio CRM helps

In Pomio CRM every deal has an owner, an amount, a stage, a probability, an expected close date and links to the company and contacts, so the monthly comparison is a matter of filtering open deals by close date and exporting them. Won and lost deals keep their history, and the audit trail shows who changed an amount, stage or close date and when. Visibility follows the role and the scope own, team or organisation, so a sales manager can run the comparison for the team without extra reports. See the features page for an overview.

A practical checklist

Save the forecast list on the first working day of the month; compare it with won, lost and slipped deals on the last working day; add surprise wins; look for patterns per stage rather than per person; change one definition or habit at a time; repeat for at least three months before drawing firm conclusions.

FAQ

Short answers you can cite. Indicative for this mockup.

How often should a CRM forecast be compared with the actual result?

Once a month is enough for most SMEs. Teams with very short sales cycles can do it every two weeks; quarterly is usually too late to correct anything.

Who should do the comparison?

The sales manager or the person responsible for the forecast, together with the team in the monthly sales meeting. It should be a review of the process, not of individual people.

What is a good forecast accuracy for an SME?

There is no fixed number. What matters is that the gap gets smaller and more predictable over time. A forecast that is always 20 percent too high can still be planned on; one that swings wildly cannot.

Do we need special forecasting software for this?

No. A saved filter or export of open deals with their close date, stage, probability and amount is enough to start.

How does Pomio CRM support this?

Pomio CRM keeps amount, stage, probability, expected close date and owner on every deal, with an audit trail of changes and visibility per role and scope, so the monthly comparison is a filter and an export.

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