Contact Attempts per Lead (Average):
Weekly Trend + Sales Rep Breakdown

Learn how to track Contact Attempts per Lead (Average) so you’re not flying blind on lead follow-up. In this lesson, you’ll build a weekly trend view to monitor consistency over time, then break it down by sales rep (and lead source) to spot where follow-up discipline is strong and where it needs work.

Download the Excel file used in this tutorial:

Contact Attempts per Lead (Average) in Excel

1. Set up the dataset columns you need

  • Create a dataset that includes at minimum:
    • Lead ID
    • Lead created date/time
    • Sales rep
    • Attempt number
    • Attempt date/time
    • Lead source
  • Keep the data in an Excel Table format to make formulas and references easier to manage.

2. Create a unique Lead ID list for modeling

  • Use the UNIQUE function on the Lead ID column in your table to generate one row per lead.
  • Copy the results and paste values (Ctrl + Shift + V) so you are working with fixed IDs.

3. Bring in the lead created date for each Lead ID

  • Use INDEX + MATCH (or XLOOKUP) to return the created date/time for each Lead ID.
  • Format the returned value as Short Date if the time shows as a decimal.
  • Autofill down to populate the created date for all Lead IDs.

4. Add the week number for each lead

  • Use WEEKNUM on the created date to assign a week-of-year value.
  • Fill the formula down for all Lead IDs.

5. Bring in Lead Source and Sales Rep for each Lead ID

  • Use a lookup method (VLOOKUP shown in the video) to pull:
    • Lead Source
    • Sales Rep
  • Use exact match logic (the FALSE or 0 argument).
  • Center-align the table for readability if desired.

6. Calculate contact attempts per lead using MAXIFS

  • Instead of counting rows per Lead ID, use MAXIFS on the Attempt Number:
    • Return the maximum attempt number for each Lead ID
  • This gives the number of attempts for that lead, since attempts are numbered sequentially.

7. Build the weekly summary table

  • Create a small weekly table with these columns:
    • Week Number
    • Week Start
    • Volume
    • Average
    • Target

8. Generate a unique list of week numbers

  • Use UNIQUE on the week number column from your modeled lead table.
  • This gives you one row per week for trend reporting.

9. Calculate the week start date using MINIFS

  • Use MINIFS to return the minimum created date for each week number.
  • Format as a date and fill down.

10. Calculate weekly lead volume with COUNTIFS

  • Use COUNTIFS to count how many leads occurred in each week number.
  • Fill down the full list of weeks.

11. Calculate weekly average attempts with AVERAGEIFS

  • Use AVERAGEIFS to average the attempts-per-lead column for each week number.
  • If using explicit ranges (not full columns), lock the ranges using absolute references (F4) so they do not shift when filling down.
  • Format the average cleanly (video uses a number format shortcut like Ctrl + Shift + 1).

12. Add a dynamic target line

  • Enter a target value (example used: 3.5).
  • Create a target column that equals the target cell, copied down the entire weekly table so the chart displays a constant target line.
  • This makes the target easy to change later and instantly updates the chart.

13. Create the weekly combo chart

  • Select the weekly table (Week Start through Target).
  • Insert a Combo chart:
    • Volume as clustered columns
    • Average as a line
    • Target as a line
  • Put Average and Target on the secondary axis so they are readable next to volume.
  • Adjust colors and styling as needed (example: make the target line gray, thinner, and dashed).

14. Build the Sales Rep heat map table

  • Create a unique list of Sales Reps using UNIQUE and paste values.
  • Create a unique list of Lead Sources:
    • Use UNIQUE, optionally wrap with SORT to alphabetize
    • Paste values
  • Transpose the Lead Sources across the top row so Sales Reps are listed down the left and Lead Sources run across columns.

15. Calculate the heat map values with AVERAGEIFS

  • In the grid, use AVERAGEIFS to return average attempts where:
    • Sales Rep equals the row header
    • Lead Source equals the column header
  • Lock references correctly with F4:
    • Lock the attempts range
    • Lock the sales rep column reference (so it doesn’t shift when dragged across)
    • Lock the lead source row reference (so it doesn’t shift when dragged down)
  • Drag the formula across and down to fill the matrix.

16. Add conditional formatting against a target

  • Put a target value beneath the grid (example used: 4).
  • Apply Conditional Formatting:
    • Highlight Cells Rules
    • Less Than
    • Reference the target cell (absolute referencing added automatically)
  • Choose a formatting style (video example: red) to flag underperformance.

17. Display the word “Target” in the target cell without breaking math

  • Do not type “Target 3.5” directly into the cell.
  • Instead, format it using a custom number format:
    • Format Cells (Ctrl + 1)
    • Custom
    • Add a format like: Target: 0.0
  • This keeps the cell numeric for comparisons and charting, while showing a label for humans.

Contact Attempts per Lead (Average) KPI Tracking

Q1. What does “Contact Attempts per Lead (Average)” mean?
It measures how many follow-up attempts your team makes per lead, on average. It helps you understand whether leads are getting enough attention after they come in.

Q2. Why is this KPI important if I’m buying leads from ads?
Because lead cost means nothing if follow-up is inconsistent. Tracking attempts per lead helps you see whether your process is disciplined enough to convert the leads you’re paying for.

Q3. What will I be able to see after setting this up?
You’ll be able to view weekly trends, identify weeks where follow-up dropped, and compare performance across sales reps to find coaching opportunities fast.

Q4. Can I set a target for follow-up discipline?
Yes. This video shows how to add a target value and make it adjustable, so your team can align on expectations and monitor performance against that benchmark.

Q5. How do I use this to compare sales reps and lead sources?
You’ll build a rep-by-lead-source view that makes it easy to see which reps are following up consistently and which lead sources may require more effort to convert.

Q6. Do I need a specific CRM to do this?
No. As long as you can export or track a lead ID and the attempt history (plus rep name), you can recreate this setup in Excel, regardless of platform.

Q7. Is there a file I can download to follow along?
Yes. The video references a downloadable file link, and if you can’t find it, you can email the presenter to get the exact workbook used in the tutorial.

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Analysis & Development