What is expected revenue?
Expected revenue is a forecast — the amount of revenue a business anticipates earning based on assumptions about sales volume, pricing, order patterns, or probability-weighted outcomes. It is not a guaranteed number; it is the best estimate given what you know at the time of planning.
It is widely used in budgeting, sales forecasting, pricing analysis, campaign planning, and investor presentations. The method you use to calculate it depends on how much information you have and what type of business you operate.
- Product businesses typically use units × price
- E-commerce typically uses orders × average order value (AOV)
- B2B sales and consulting often uses probability-weighted pipeline estimates
Three methods — choose the right one for your situation
= Units sold × Price per unit
1,200 × $18 = $21,600
= Orders × Avg order value
250 × $72 = $18,000
= Σ (Probability × Revenue)
Multiple scenarios
All three are valid — the right choice depends on what data you have. If you have reliable volume and price data, Method 1 or 2 is fastest. If outcomes are uncertain, Method 3 forces you to think through different scenarios and weight them honestly.
Probability-weighted revenue — full walkthrough
The probability-weighted formula accounts for uncertainty by assigning a likelihood to each possible revenue outcome, then summing the results:
Here is a three-scenario example — a business forecasting Q1 revenue with three possible outcomes:
Each revenue outcome ($40K, $55K, $70K) is multiplied by its probability (0.50, 0.30, 0.20). The weighted contributions ($20K + $16.5K + $14K) sum to $50,500 — the expected revenue. Critically, 50% + 30% + 20% = 100%: a common mistake is letting probabilities sum to more or less than 1.
Sales pipeline model — B2B revenue forecasting
B2B companies often forecast expected revenue by multiplying the deal value at each pipeline stage by the typical win rate for that stage:
Each deal in the pipeline is multiplied by its stage win rate. A $30K deal at proposal stage (60% win rate) contributes $18K to expected revenue. Summing all weighted deal values gives the total pipeline-based expected revenue — commonly used in CRM tools like Salesforce and HubSpot.
Step-by-step method
Worked examples
Units × price
Expected units sold: 1,200 · Price: $18
✅ Expected revenue = $21,600
Orders × AOV
Expected orders: 250 · Avg order value: $72
🔵 Expected revenue = $18,000
Two-scenario probability
60% chance of $30K · 40% chance of $45K
🟡 Expected revenue = $36,000
Project × fee
Expected projects: 10 · Average fee: $3,500
✅ Expected revenue = $35,000
Expected vs actual vs incremental revenue
These three metrics are frequently confused. Each measures something different and serves a different purpose:
A forecast or probability-weighted estimate made before the period. Based on assumptions about volume, price, and likelihood. It is what you think will happen.
The real amount earned after the period ends. An observed result, not an estimate. Comparing actual vs expected reveals forecast accuracy and surfaces assumption errors.
The additional revenue generated by a specific action or change, compared to the baseline without that change. Used to measure the ROI of campaigns, pricing changes, or new channels.
A practical way to remember the distinction: Expected revenue is your plan. Actual revenue is what happened. Incremental revenue is what changed because of a specific decision.
Common mistakes to avoid
- Probabilities not summing to 100%. If your scenario probabilities total 80% or 120%, your expected value calculation is wrong. Always verify the sum before proceeding.
- Using overly optimistic volume assumptions. Expected revenue is only as reliable as its inputs. An unrealistic units-sold estimate produces a misleading forecast. Use historical data, cohort analysis, or third-party benchmarks as anchors.
- Ignoring price variation. A single average price hides discounts, tiered pricing, and customer mix effects. Where possible, segment by price tier or customer type.
- Treating expected revenue as guaranteed revenue. A forecast is not a commitment. Budget plans that treat expected revenue as certain before it is realised invite cash flow problems.
- Skipping cost context. Higher expected revenue does not automatically mean higher profitability. Always calculate expected margin alongside expected revenue.
Frequently asked questions
What is the formula for expected revenue?
Three common formulas: (1) Expected Revenue = Expected units sold × Price per unit. (2) Expected Revenue = Expected orders × Average order value. (3) Expected Revenue = Σ (Probability × Revenue outcome) — for probability-weighted scenarios. Choose the formula that matches your available data and business model.
What is the difference between expected revenue and actual revenue?
Expected revenue is a forward-looking estimate based on assumptions. Actual revenue is the real amount earned after the period ends. Comparing the two reveals forecast accuracy. A large, recurring gap between expected and actual usually signals a flaw in the forecasting assumptions.
How do I use expected revenue in a sales pipeline?
Assign each deal a value and a probability based on its pipeline stage. Multiply each deal's value by its probability to get its expected contribution. Sum all contributions for total pipeline expected revenue. This is how most CRM tools calculate weighted pipeline value.
Do probabilities in expected revenue have to sum to 100%?
Yes, if you are using the probability-weighted scenario method. If your scenarios represent all possible outcomes, the probabilities must sum to exactly 100% (or 1.0). If they don't, the weighted sum will be systematically over- or under-stated.
What is the difference between expected revenue and incremental revenue?
Expected revenue is a total forecast of what you expect to earn. Incremental revenue is the additional revenue generated by a specific change — a promotion, a new channel, or a pricing adjustment — compared to the baseline without that change. Incremental revenue measures the impact of a decision; expected revenue is the overall forecast.