How to Measure Quote-to-Sale Conversion by Month

Learn how to track your Quote-to-Sale Conversion % by month so you can quickly see how efficiently your team turns quotes into closed jobs. In this lesson, you’ll build a clear month-over-month view, compare results against a target, and spot the exact months where performance is slipping or improving.

Download the Excel file used in this tutorial:

How to Build a Monthly Quote-to-Sale Conversion Report

1. Confirm the required columns in your dataset

  • Lead date or timestamp
  • Quote given field
  • Sold or closed field
  • Optional: other marketing columns can stay, but these are the only ones needed for this build

2. Create Month and Year helper columns

  • Add a Month column using the TEXT function on the lead date field
    • Use: TEXT([Lead Date],”mmmm”)
  • Add a Year column using the TEXT function on the same lead date field
    • Use: TEXT([Lead Date],”yyyy”)
  • These will be used for monthly grouping

3. Build a unique Month-Year list for the reporting table

  • Use UNIQUE() on the Month and Year columns to remove duplicates
  • Quick-select the full month and year range with Ctrl + Shift + Down Arrow
  • Copy and paste values using Ctrl + C, then Ctrl + Shift + V
  • Create a Date column for charting by referencing the month-year rows so Excel treats it like a clean axis

4. Count quotes by month using COUNTIFS

  • In your summary table, create a Quotes column
  • Use COUNTIFS() with these criteria:
    • Quote Given = Yes
    • Month = the month in the current summary row
    • Year = the year in the current summary row
  • Fill the formula down for all months

5. Count sales by month using COUNTIFS

  • Create a Sales column next to Quotes
  • Use the same COUNTIFS() logic, but include Sold = Yes as the criteria
  • Fill the formula down

6. Calculate Quote-to-Sale Conversion %

  • Create a Conversion % column
  • Divide Sales by Quotes for each month
  • Format as percentage with Ctrl + Shift + 5
  • Fill down for all months

7. Add a Target line that stays dynamic

  • Add a Target % cell (example used in the video: 60%)
  • Under it, reference the target cell so you can fill down and keep it consistent across every month
  • This creates a target series that updates instantly if you change the target value

8. Insert the combo chart with a secondary axis

  • Select the Quotes column first
  • Hold Ctrl and also select:
    • Conversion % column
    • Target % column
  • Go to Insert → Recommended Charts
  • If the percent line is on the same axis as the quote counts, switch to:
    • All Charts → Combo
  • Set:
    • Quotes as clustered columns
    • Conversion % as a line
    • Target % as a line
  • Turn on Secondary Axis for both Conversion % and Target % so they scale correctly

9. Clean up the chart formatting

  • Rename the chart title to something like “Quote-to-Sale Conversion % by Month”
  • Format the target line so it is easy to compare against the conversion line:
    • Change the target line color to black
    • Make the target line thinner so it does not dominate the chart

10. Add data labels only to the conversion line

  • Avoid adding labels to everything, it gets noisy
  • Click the conversion line only → Add Data Labels
  • If labels are hard to read:
    • Format the label background fill to improve contrast
    • Keep it simple so the chart stays clean

Tracking Quote-to-Sale Conversion % by Month

Q1. What is Quote-to-Sale Conversion %?
Quote-to-Sale Conversion % measures how many quotes your team delivers compared to how many of those quotes turn into closed sales. It’s a core sales KPI for understanding how efficiently quotes become revenue.

Q2. Why is this KPI so important for HVAC sales teams?
A small improvement in conversion can create a major revenue lift without increasing lead volume. It helps you pinpoint whether your bottleneck is happening after the quote is delivered, not at the marketing stage.

Q3. How do I track Quote-to-Sale Conversion % by month?
You’ll group activity by month, total how many quotes were given, total how many were sold, and then compare the monthly conversion trend against a target line. This makes it easy to identify strong and weak months at a glance.

Q4. What data do I need to calculate this KPI accurately?
At minimum, you need:

  • A lead date (or timestamp)
  • A field that shows whether a quote was given
  • A field that shows whether the deal was sold/closed
    Having a more complete lead dataset is even better because it supports many other sales and marketing KPIs.

Q5. What should I do if my conversion drops in certain months?
Use the month-by-month view to isolate when performance dipped, then investigate what changed: quoting speed, follow-up consistency, price objections, financing availability, rep performance, or capacity/scheduling constraints.

Q6. Where can I get the sample dataset used in the video?
You can download the file from the link provided near the video, and follow along step by step using the exact same structure.

Get more lessons like this
by joining our newsletter

Receive weekly Excel tutorials, tips, and KPIs straight to your inbox

Databoards

Analysis & Development