Finding Conversion ratio using Pivot Table Calculated Items

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Today, lets understand how to use Calculated items feature in Pivot tables. We will use a practical problem many of us face to learn this feature – ie calculating conversion ratio from a list of sales calls.

This is inspired from a question posted by Nicki in our forums,

I have a spreadsheet source data full of sales enquiries which have the Status – Lost, Booked or Pending. Each sales enquiry relates to a particular location. I have created a pivot table which counts the enquiries and displays them with the Locations in rows and the Status in the columns. I have got a row total showing the total number of sales enquiries for each location. I also want my table display the sales conversion number, ie the booked enquiries as a % of the total enquiries. How do I do this?

A look at the data

Lets say, you have some data like this and you want to understand what is the conversion ratio by location.

Calculating conversion ratios from sales enquiry data

Setup a pivot table

The first step is to just create a pivot table from this data. Put locations in row labels area, status in column labels are and ID in values area. Now you will have a count of items for each status in each location. Something like this:

Frist version of pivot table - showing distribution of items by status

Add a calculated item to get conversion ratio

Now we want to calculate how much percentage is “booked” status items in all items for a location. To do this,

  1. Select any column label item in the pivot table.
  2. Click on Pivot Options > Fields, Items & Sets > Calculated item
    Inserting calculated item from pivot table options ribbon
  3. Give your calculated item a suitable name like Conv. %
  4. Write the formula = Booked / (Booked + Pending + Lost)
    Calculated item for conversion percentage - Excel pivot tables
  5. Click ok.

Now you should see another column in your pivot table with calculated item – Conversion %.

Conversion ratio calculated - but shown as number...!

Formatting Conversion % in Percentage format

While we got what we wanted, it is not looking alright. We need to format the conversion % so that it looks alright. For this,

  1. Right click on any value in pivot table
  2. Custom number formatting rule to show conversion ratios in %sGo to value field settings
  3. Click on number format
  4. Select custom
  5. Type the custom formatting rule [>=1]0;[<1]0%;””
  6. This will automatically transform all numbers smaller than 1 (ie all conversion %s) to percentage format while keeping everything else normal.
  7. Done!

Resource: Learn more about custom number formatting

A video tutorial explaining this & more

Since calculated items can be somewhat tricky, I made a short video explaining how this works. In the video you can also see how to use Power Pivot measures to calculate conversion ratios easily. Watch it below (or on our youtube channel).

Download Example workbook

Click here to download example workbook. It has both regular and powerpivot based calculations. Go ahead and examine them. Enjoy.

Do you use Calculated items?

I find calculated items to be very tricky to work with. In most cases, I try to add extra calculations to original data table or use formulas instead. But this example is a good case where calculated item is perfect.

What about you? Do you use Calculated items? In what situations you use them? Please share your experiences and tips using comments.

Convert your self to a Pivot table pro…

If you are use Excel pivot tables & data analysis features, then you will find below resources very useful.

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13 Responses to “Using pivot tables to find out non performing customers”

  1. David Onder says:

    To avoid the helper column and the macro, I would transpose the data into the format shown above (Name, Year, Sales).  Now I can show more than one year, I can summarize - I can do many more things with it.  ASAP Utilities (http://www.asap-utilities.com) has a new experimental feature that can easily transpose the table into the correct format.  Much easier in my opinion.

    David 

    • Chandoo says:

      Of course with alternative data structure, we can easily setup a slicer based solution so that everything works like clockwork with even less work.

  2. Martin says:

    David, I was just about to post the same!
    In Contextures site, I remember there's a post on how to do that. Clearly, the way data is layed out on the very beginning is critical to get the best results, and even you may thinkg the original layout is the best way, it is clearly not. And that kind of mistakes are the ones I love ! because it teaches and trains you to avoid them, and how to think on the data structure the next time.
     
    Eventually, you get to that place when you "see" the structure on the moment the client tells you the request, and then, you realized you had an ephiphany, that glorious moment when data is no longer a mistery to you!!!
     
    Rgds,

  3. JMarc says:

    Chandoo,
    If the goal is to see the list of customers who have not business from yearX, I would change the helper column formula to :  =IF(selYear="all",sum(C4:M4),sum(offset(C4:M4,,selyear-2002,1,columns(C4:M4)-selyear+2002)))
     This formula will sum the sales from Selected Year to 2012.

    JMarc

  4. Elias says:

    If you are already using a helper column and the combox box runs a macro after it changes, why not just adjust the macro and filter the source data?
     
    Regards

  5. RichW says:

    I gotta say, it seems like you are giving 10 answers to 10 questions when your client REALLY wants to know is: "What is the last year "this" customer row had a non-zero Sales QTY?... You're missing the forest for the trees...
    Change the helper column to:
    =IFERROR(INDEX(tblSales[[#Headers],[Customer name]:[Sales 2012]],0,MATCH(9.99999999999999E+307,tblSales[[#This Row],[Customer name]:[Sales 2012]],1)),"NO SALES")
    And yes, since I'm matching off of them for value, I would change the headers to straight "2002" instead of "Sales 2002" but you sort the table on the helper column and then and there you can answer all of your questions.

  6. Kevin says:

    Hi thanks for this. Just can't figure out how you get the combo box to control the pivot table. Can you please advise?
     
    Cheers

  7. Kevin says:

    Thanks Chandoo. But I know how to insert a combobox, I was more referring to how does in control the year in the pivot table? Or is this obvious?  I note that if I select the Selected Year from the PivotTable Field List it says "the field has no itens" whereas this would normally allow you to change the year??
     
    Thanks again

  8. Kevin says:

     
    worked it out thanks...
    when =data!Q2 changes it changes the value in column N:N and then when you do a refreshall the pivottable vlaues get updated 
     
    Still not sure why PivotTable Field List says “the field has no itens"?? I created my own pivot table and could not repeat that.

  9. Bermir says:

    Hi, I put the sales data in range(F5:P19) and added a column D with the title 'Last sales in year'. After that, in column D for each customer, the simple formula

    =2000+MATCH(1000000,E5:P5)

    will provide the last year in which that particular customer had any sales, which can than easily be managed by autofilter.

    • Bermir says:

      Somewhat longer but perhaps a bit more solid (with the column titles in row 4):

      =RIGHT(INDEX($F$4:$P$19,1,MATCH(1000000,F5:P5)),4)

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