Moving average is frequently used to understand underlying trends and helps in forecasting. MACD or moving average convergence / divergence is probably the most used technical analysis tools in stock trading. It is fairly common in several businesses to use moving average of 3 month sales to understand how the trend is.
Today we will learn how you can calculate moving average and how average of latest 3 months can be calculated using excel formulas.

Calculate Moving Average
To calculate moving average, all you need is the good old AVERAGE excel function.
Assuming your data is in the range B1:B12,
- Just enter this formula in the cell D3
- =AVERAGE(B1:B3)
- And now copy the formula from D3 to the range D4 to D12 (remember, since you are calculating moving average of 3 months, you will only get 10 values; 12-3+1)
- That is all you need to calculate moving average.
Calculate Moving Average of Latest 3 Months Alone

Lets say you need to calculate the average of last 3 months at any point of time. That means when you enter the value for the next month, the average should be automatically adjusted.
We can do that using excel formulas AVERAGE, COUNT and OFFSET
First let us take a look at the formula and then we will understand how it works.
=AVERAGE(OFFSET(B4,COUNT(B4:B33)-3,0,3,1))
So what the heck the above formula is doing anyway?
- It is counting how many months are already entered – COUNT(B4:B33)
- Then it is offsetting count minus 3 cells from B4 and fetching 3 cells from there – OFFSET(B4,COUNT(B4:B33)-3,0,3,1). These are nothing but the latest 3 months.
- Finally it is passing this range to AVERAGE function to calculate the moving average of latest 3 months.
Your Home Work
Now that you have learned how to calculate moving average using Excel, here is your home work.
- Lets say you want the number of months used to calculate moving average to be configurable in the cell E1. ie when E1 is changed from 3 to 6, the moving average table should calculate moving average for 6 months at a time. How do you write the formulas then?
Don’t look at the comments, go and figure this out for yourself. If you cant find the answer, come back here and read the comments. Go!
This post is part of our Spreadcheats series, a 30 day online excel training program for office goers and spreadsheet users. Join today.














13 Responses to “Using pivot tables to find out non performing customers”
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
Of course with alternative data structure, we can easily setup a slicer based solution so that everything works like clockwork with even less work.
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,
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
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
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.
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
@Kevin.. You are welcome. To insert a combo box, go to Developer ribbon > Insert > form controls > combo box.
For more on various form controls and how to use them, please read this: http://chandoo.org/wp/2011/03/30/form-controls/
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
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.
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.
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)
[…] Finding non-performing customers using Pivot Tables […]