Quote-to-Sold Price Realization (%) in Excel
(Find Hidden Discounting)

If your close rate looks great but profit still feels light, this KPI helps explain why. In this lesson, you’ll learn how to track the gap between what your team quotes and what you actually sell, spot where concessions are happening, and visualize trends by month so you can coach reps with real data, not opinions.

Download the Excel file used in this tutorial:

Monthly Realization Trend, Heat Map, and Rep Breakdown

1. Create the month list

  • Add a header cell labeled Month.
  • Type January and drag down through December.
  • Center-align the month list and the summary table area to keep the layout clean.

2. Create a Sold Month field in the dataset

  • Add a new column named Sold Month.
  • Use a formula that:
    • Returns blank if Sold Date is blank.
    • Otherwise returns the month name from Sold Date using TEXT(SoldDate,”mmmm”).
  • Fill the formula down the dataset.
  • If you have multiple years of data:
    • Add a Sold Year field as well, so months do not mix across years.

3. Count number of sales by month

  • Add a column in your summary table called Sold.
  • Use COUNTIFS to count deals where Sold Month equals each month:
    • Criteria range: Sold Month column
    • Criteria: the month cell in the summary table (January, February, etc.)
  • Double-click the fill handle to copy the formula down for all months.

4. Sum quoted and sold values by month

  • Add columns in the summary table for:
    • Quoted Price
    • Sold Price
  • For Quoted Price, use SUMIFS:
    • Sum range: Initial Quoted Net Price
    • Criteria range: Sold Month
    • Criteria: month cell
  • For Sold Price, use SUMIFS:
    • Sum range: Final Sold Contract Value
    • Criteria range: Sold Month
    • Criteria: month cell
  • Format both as currency and remove decimals if you want.

5. Calculate the realization percentage by month

  • Add a column for Quote-to-Sold Price Realization (%).
  • Calculate it using totals:
    • Sold Price ÷ Quoted Price
  • Format as percentage.
  • Copy down for all months.

6. Create the combo chart for sold dollars and realization

  • Select the Month column and the Sold Price column.
  • Hold Ctrl and also select the Realization (%) column.
  • Go to Insert → Recommended Charts.
  • If it does not build correctly:
    • Go to All Charts → Combo.
    • Set Sold Price as columns on the primary axis.
    • Set Realization as a line on the secondary axis.
  • Clean up formatting:
    • Set percent axis to zero decimals if desired.
    • Add data labels only to the line if the chart gets too busy.

7. Create the rep list and system type list

  • Build a rep list using SORT(UNIQUE()) on the Sales Rep Name column.
  • Copy and paste values to remove formulas.
  • Build a system type list using SORT(UNIQUE()) on the System Type column.
  • Copy and paste values.
  • Transpose system types across the top:
    • Copy the list
    • Paste special → transpose

8. Calculate realization by rep and system type

  • In the rep-by-system matrix, calculate realization as:
    • Sum of Sold Amount ÷ Sum of Quoted Amount
  • Numerator SUMIFS setup:
    • Sum range: Final Sold Contract Value
    • Criteria: Sales Rep Name equals the rep on the row
    • Criteria: System Type equals the type on the column
    • Criteria: Sold Flag equals 1
  • Denominator SUMIFS setup:
    • Sum range: Initial Quoted Net Price
    • Same criteria as numerator, including Sold Flag equals 1
  • Divide numerator by denominator and format as percentage.
  • If dragging breaks references:
    • Lock needed references with dollar signs.
    • If the table auto-shifts columns, copy and paste the correct formula into the range instead of dragging.

9. Apply conditional formatting to build the heat map

  • Highlight the realization matrix.
  • Go to Home → Conditional Formatting → Color Scales.
  • Choose a green-to-red scale where:
    • Higher values show green
    • Lower values show red

10. Add a sold count matrix for context

  • Create a second matrix with the same rep rows and system type columns.
  • Use COUNTIFS to count sold deals:
    • Criteria: Sales Rep Name equals rep row
    • Criteria: System Type equals column header
    • Criteria: Sold Flag equals 1
  • Copy across and down.
  • Use this to validate if a rep’s realization value is based on enough volume.

11. Add a dynamic threshold highlight rule

  • Create a threshold input cell and type a number such as 5.
  • Highlight the sold count matrix.
  • Go to Home → Conditional Formatting → Highlight Cells Rules → Less Than.
  • Reference the threshold input cell so the formatting updates dynamically.
  • Choose whether you want:
    • Less than
    • Less than or equal to

12. Show “Threshold: 5” without breaking the numeric value

  • Click the threshold cell and press Ctrl + 1.
  • Go to Number → Custom.
  • Use a custom format like:
    • “Threshold: “0
  • This keeps the cell numeric for conditional formatting, while displaying the label.

Quote-to-Sold Price Realization (%) for Sales Teams

Q1. What is Quote-to-Sold Price Realization (%)?
Quote-to-Sold Price Realization measures how closely your final sold price matches the original quoted price. It helps identify where price concessions, re-quotes, and last-minute discounts are reducing revenue and margin.

Q2. Why does this KPI matter if my close rate is already strong?
A strong close rate can hide profitability problems. If deals are consistently being discounted to get them across the finish line, you may be winning a lot of work while quietly giving away margin. This KPI reveals that “profit leak.”

Q3. What can I learn by tracking this month by month?
A monthly view helps you spot patterns like seasonality, pricing drift, or changes in rep behavior. It also makes it easier to connect performance shifts to specific initiatives like promotions, new pricing, new reps, or sales process changes.

Q4. How can managers use this KPI to coach reps?
Instead of vague feedback like “your prices are low,” this KPI shows exactly where realization is slipping. You can coach reps on when discounts happen, which system types are most affected, and whether the issue is isolated or widespread.

Q5. Can I break this down by salesperson or system type?
Yes. This analysis is especially powerful when segmented by rep and system type because it highlights who is discounting, what they are discounting, and whether low realization is backed by enough deal volume to take action.

Q6. What data do I need to track Quote-to-Sold Price Realization?
At minimum, you need the quoted price, the final sold price, and a way to identify when the deal was sold. Many teams also track rep name, system type, and key job dates so the analysis becomes more actionable.

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