Close Rate on Run Estimates in Excel
(Weekly + Rep + Lead Source)

Learn how to measure whether your estimate volume is actually turning into sold jobs. In this lesson, you’ll build a weekly close-rate view with a clear target line, then break results down by sales rep and lead source so you can spot coaching opportunities and channel issues fast.

Download the Excel file used in this tutorial:

Close Rate on Run Estimates (%)

1. Confirm the required dataset fields

  • Make sure your dataset includes (at minimum):
    • Estimate ID
    • Estimate Run Date
    • Sales Rep
    • Lead Source
    • Sold Flag (TRUE/FALSE)
  • If your dataset does not include a Week Start Date column, add it next (this is required to calculate by week).

2. Create the Week Start Date field

  • Option A: Use a week number with WEEKNUM() if you only need a numeric week grouping.
  • Option B: Create a true Week Start Date (recommended for readability and charting):
    • Use WEEKDAY(date, 2) so the week starts on Monday.
    • Formula logic:
      • Week Start Date = Estimate Run Date minus weekday number plus 1
    • Build it like:
      • Take the estimate run date
      • Subtract WEEKDAY of that same date with Monday-based numbering
      • Add 1 back to land on Monday
  • Add this formula to the right side of your dataset (not inside the dataset columns) so future paste-ins do not break your structure.

3. Generate a unique list of Week Start Dates

  • Create a new section for your weekly summary.
  • Use UNIQUE() on the Week Start Date column to generate a list of all unique week start dates.
  • This list becomes the driver for the weekly rollups.

4. Create the weekly rollup table headers

Add these columns next to the Week Start Date list:

  • Estimates per Week
  • Sold per Week
  • Close Rate
  • Benchmark

Optional formatting:

  • Center the headers and values so the table is easier to read.

5. Calculate Estimates per Week

  • Use COUNTIFS() to count how many estimates occurred in each week.
  • Criteria:
    • Week Start Date equals the week in your summary row
  • Fill the formula down the full list of weeks.

6. Calculate Sold per Week

  • Use COUNTIFS() again, but add one more criterion.
  • Criteria:
    • Week Start Date equals the week in your summary row
    • Sold Flag equals TRUE
  • Fill the formula down.

7. Calculate weekly Close Rate

  • Close Rate = Sold per Week divided by Estimates per Week
  • Format as percentage using Ctrl + Shift + 5
  • Fill down.

8. Add a benchmark line using a dynamic benchmark cell

  • Enter a benchmark value in a single cell (example: 45%).
  • In the Benchmark column, reference that single benchmark cell so the entire benchmark series updates automatically when you change the benchmark.
  • Fill down so every week has the same benchmark value tied to that one cell.

9. Build the weekly combo chart with a secondary axis

  • Select:
    • Week Start Date
    • Estimates per Week
    • Sold per Week
    • Close Rate
    • Benchmark
  • Insert a chart and switch to a Combo chart:
    • Estimates per Week and Sold per Week as columns
    • Close Rate and Benchmark as lines
    • Close Rate and Benchmark must be set to the secondary axis
  • Rename the chart title to something clear like:
    • Close Rate on Estimates by Week

10. Clean up the weekly chart formatting

  • Make the two column series the same color (so they look like a paired volume view).
  • Adjust column gap width until the chart is readable.
  • Format the benchmark line so it is visible but not overpowering:
    • Reduce line thickness
    • Change to a dashed line style
  • The visual goal:
    • If the close rate line is above the benchmark line, performance is above target.

11. Create the Sales Rep and Lead Source matrix

  • Create a second section to show close rate by:
    • Sales Rep (rows)
    • Lead Source (columns)
  • Build the lists:
    • Use SORT(UNIQUE()) for Sales Reps
    • Use SORT(UNIQUE()) for Lead Sources
  • Copy the Lead Source list and paste it transposed across the top so you can drag formulas across quickly.

12. Calculate close rate in the matrix using COUNTIFS

  • Numerator: count of Sold estimates
    • Criteria:
      • Sales Rep equals row rep
      • Lead Source equals column lead source
      • Sold Flag equals TRUE
  • Denominator: count of all estimates
    • Criteria:
      • Sales Rep equals row rep
      • Lead Source equals column lead source
  • Close Rate = Numerator divided by Denominator
  • Format as percent.

13. Lock references correctly so you can drag across and down

  • When building the matrix formula:
    • Lock the Sales Rep column reference so it stays tied to the rep when dragging left to right
    • Lock the Lead Source row reference so it stays tied to the lead source when dragging top to bottom
  • Use F4 to cycle through reference locking until:
    • Rep stays fixed by column when dragging across
    • Lead Source stays fixed by row when dragging down
  • Once correct, drag the formula across the lead sources and down the rep list.

14. Add conditional formatting based on benchmark

  • Type your benchmark percent in a cell (example: 45%).
  • Highlight the matrix and apply:
    • Conditional Formatting
    • Highlight Cell Rules
    • Less Than
    • Enter 45% (or reference the benchmark cell)
  • This instantly flags underperforming rep and lead source combinations.

15. Add a visible “Benchmark” label using custom formatting

  • In the benchmark cell, apply a custom number format (Ctrl + 1) so the cell displays a label like:
    • Benchmark: 45%
  • This makes the benchmark obvious to anyone viewing the table.

16. Create the coaching-friendly opportunity count view

  • Copy the matrix to a new area.
  • Replace the close rate formula with the denominator only:
    • This shows how many estimates (opportunities) each rep had for each lead source.
  • Use this view together with the close rate matrix to spot issues like:
    • A rep with multiple opportunities but zero closes for a specific lead source
    • A lead source generating volume but producing poor outcomes across reps

Close Rate on Run Estimates KPI Tracking in Excel Dashboards

Q1. What is Close Rate on Run Estimates (%)?
It’s the percentage of run estimates that turn into sold jobs. This KPI helps you understand if your team’s estimate activity is producing revenue or creating wasted windshield time.

Q2. Why does this KPI matter if my sales team is busy?
A busy calendar can hide a conversion problem. Tracking close rate shows whether high estimate volume is translating into sold work, or whether the team is running lots of quotes without closing.

Q3. Why does the video calculate this by week instead of by month?
Weekly tracking makes performance changes visible faster. It helps you catch slumps early, see the impact of coaching quickly, and avoid waiting until month-end to spot issues.

Q4. What will I be able to analyze by sales rep and lead source?
You’ll be able to see which reps are converting well (or struggling), and which lead sources produce strong close rates versus low-quality opportunities. This is especially useful for diagnosing training needs and marketing channel performance.

Q5. What’s the purpose of the benchmark or target line?
The benchmark gives your team a clear goal to track against. It makes the chart instantly readable: if the close-rate line is above the target, you’re winning; if it’s below, you know where to focus.

Q6. Do I need a specific dataset to follow along?
You’ll need estimate-level data that includes the estimate date, who ran it, lead source, and whether it was sold. If you don’t have the file used in the video, the page download link (or the email mentioned in the lesson) can provide a sample dataset to practice with.

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Analysis & Development