Sales Forecast Accuracy
Restore trust in your revenue numbers.
The problem
Most B2B companies don’t struggle because they lack data.
They struggle because their forecast cannot be trusted.
Typical symptoms:
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forecasts are consistently off
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leadership debates numbers instead of decisions
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revenue surprises happen late
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confidence erodes quarter after quarter
When this happens, growth becomes risky — not strategic.
What’s really going wrong
In most cases, inaccurate forecasts are not caused by the CRM.
They usually come from:
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unreliable pipeline stages
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inflated deal probabilities
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poor qualification upstream
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lack of inspection and governance
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human bias embedded in the process
The result: numbers look precise, but the signal is wrong.
How Mobenal helps
Mobenal works backward from the forecast to identify where the signal breaks:
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at which stage
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for which deal types
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due to which behaviors or rules
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and why leadership cannot rely on the output
The goal is not to “improve forecasting models”,
but to restore decision-grade reliability.
What you get
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Clear diagnosis of forecast reliability
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Identification of false signals and noise
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Separation between real revenue and wishful thinking
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A prioritized list of fixes — without tooling changes
When this service makes sense
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You’ve missed forecasts more than once
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You no longer trust pipeline reports
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Board or leadership discussions stall on numbers
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Growth feels harder than it should
👉 Start with the ForecastClarity audit
A short, focused diagnostic designed to restore forecast trust before scaling further.