Forecast revenue accurately. Start with every scanned card.

The B2B revenue forecasting input problem

Every revenue forecast is built on three numbers: pipeline value, stage probabilities and average cycle length. All three depend on accurate lead capture. If exhibition cards go unscanned, pipeline value is understated. If source tags are missing, stage probabilities lose context. If cycle starts are not timestamped, cycle length becomes a guess. The sales-forecast-accuracy conversation has to start at the scan, not at the forecast. Consulting firms charge six figures to fix forecast models when the fix is actually a free card scanner at the booth.

• Pipeline = sum of scanned cards × stage probability. Pipeline reality →
• Cycle start = scan timestamp, not an arbitrary "month created". Long-cycle tracking →
• Source-weighted probability — exhibition cards convert higher. Attribution →
• Owner-adjusted forecast — rep history affects close probability. Team performance →

What scanned-input forecasting actually looks like

A forecast built on complete card-scan input is honest in a way Excel-built forecasts never are. The number drops in the first month — because previously hidden cold leads enter the count at low probability — then climbs steadily as those cold leads warm. The forecast accuracy you finally trust comes from the discipline of capturing every card, not from a more sophisticated model. VynDeal handles the maths. Read why most forecasts are guesswork.

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