Sales forecast for amateur CEOs doesn't need a complicated model — just: how many deals the pipeline has, which stages the deals are in, the win rate at each stage, then multiply the expected sales. Simple, data driven, updated weekly. Zenify records a reasonable LTV/CAC of 3-5 times (approved).
TL;DR
- Forecast = expected sales from current pipeline.
- Simple formula: deal × win rate by stage.
- 3 levels: optimistic, realistic, safe.
- Updated weekly — don't just guess once.
- Clean up the pipeline — "virtual" deals make forecasts wrong.
What is a sales forecast?
Sales Forecast = estimated sales to close in the next period (week/month/quarter), based on:
Deals are open in the pipeline.
Stages and winning rate of each stage.
Why do CEOs need: to know if this month they can meet their goals, whether they need to push ahead, or whether they need to control spending.
Simple formula
Estimated sales = Σ (deal value × win rate of that deal period)
For example:
Deal A: 100 million, at "quote" (50% win rate) → 50 million.
Deal B: 60 million, in "consultation" (30% winning rate) → 18 million.
Forecast: 68 million.
Win rate for each period is from history — measured 2-3 months, no guessing.
3 mức forecast
Level | How to calculate | Use when
Optimism | The entire pipeline multiplies high win rates | See maximum potential
Reality | Historical win rate in each period | Use as default
Safety | Only final stage deals + confirmed customers are counted | Make a spending budget
Use "realistic" as the main, "safe" number for budgeting — avoid using "optimism" for spending decisions.
Make weekly forecasts
Clean up the pipeline: remove dead deals, update correct stages.
View data: total pipeline, win rate of each stage.
Calculate 3 levels: optimistic, realistic, safe.
Comparing goals: forecast vs monthly target — how much is the difference?
Action: shortage → push stuck deals, increase leads, focus on late stages.
Avoid "virtual" forecasts
Deal made beautiful: pipeline full of bogus deals → fake high forecast.
Win rate of random guessing: use history, don't guess.
Not cleaning the pipeline: Dead deal stays forever → wrong number.
Forecast once and that's it: Market changes — updated every week.