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How to Quickly Crunch Tons of Marketing Data [Excel Tricks]

 

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Ellie Mirman noted in an earlier post that one of the 5 biggest misconceptions about marketers is that we don’t know how to do math.  She couldn’t be more correct! Many of us love numbers. And if you’re using a closed loop marketing system, you’ve probably got a lot of numbers to play with. Even if you don't love numbers, it's increasingly important for marketers to use quantitative metrics for decion making.

Most of us use Excel to slice and dice our data. Excel is one of those products with some very powerful tools that are easy to use, but you might not know about. It turns out that by learning handful of these tools, you can save yourself hours of time and quickly whip up some revealing analysis.

I'll start this Excel series off with an introduction to the almighty pivot table. The pivot table is well-loved among data geeks for its ability to quickly summarize large datasets.  Suppose you wanted to know the average sales cycle for your customers according to the type of marketing campaign they participated in and their location.  For each customer, you have one row of data with campaign type, location, and the number of days the lead took to become a customer. 

A pivot table will allow you to quickly crunch thousands of rows of data into a neat little table of averages.  The screenshots below illustrate this. In this example, customers that signed up for a demo, who were located domestically took on average 21 days to purchase, while international businesses took 42 days.

data to pivot resized 600

You can download the above sample data and pivot in this example file.  I created this pivot by doing the following:

  1. Highlight the data and select the “Insert” tab > “Pivot Table” > “Ok” (leave the default options).
  2. In the “Pivot Table Field List” (see screenshot below), drag & drop “Campaign Type” into the “Row Labels” box; then drag & drop “Location” into the “Column Labels” box.
  3. Lastly, drag & drop “Sales Cycle (Days)” into “Values”. The default setting will set this to “Sum of Sales Cycle”. Since we want the average number of days, click on “Sum of Sales Cycle” > select  “Value field settings” > select “Average”.

pivot settings resized 600

And that's all there is to it!

If you want to learn more about pivot tables and other advanced features of Excel, please stay turned to this series.

How do you use pivot tables?

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Posted by Melissa Miller on Mon, Apr 18, 2011 @ 02:26 PM

COMMENTS

Do you happen to know what version they released the Pivot Table function? My really old version doesn't like it very much.

posted on Monday, April 18, 2011 at 3:04 PM by Carolyn Jackson


I use spreadsheets for everything, and of course I am a number crunching type of guy. Pivot Tables are awesome to say the least because they allow you to create data that the rest of your colleagues who aren't to number savvy understand the results.

posted on Monday, April 18, 2011 at 3:53 PM by Alec Difrawi


Hi Carolyn, the steps I wrote here will work with Excel 2007 or Excel 2010. According to wikipedia, Excel 97 included pivot table functionality, but it is very possible they've made significant updates since then.

posted on Monday, April 18, 2011 at 6:03 PM by Melissa Miller


Wow! If these actually work (I haven't tried them yet), they will be a tremendous help. Thanks!

posted on Monday, April 18, 2011 at 6:08 PM by Roger Scime


Excel pivot tables are a great tool. We tend to use queries directly on our database for data mining but this is obviously for the more technically inclined. You can get a lot of the power of professional databases using excel pivot, without the complications.

posted on Tuesday, April 19, 2011 at 4:42 AM by DeltaROI


I love it! I'm a data nerd, so this got me excited, haha. I love how hubspot addresses our pains and quickly solves them.

posted on Tuesday, April 19, 2011 at 5:50 AM by Nick Robinson


What a helpful, concise post! Thanks for sharing not only the information but also providing sample data to play with. It worked like a charm! I'm so glad to learn about pivot tables :).

posted on Tuesday, April 19, 2011 at 8:26 AM by Lisa Miller


Thanx for sharing it in such a nice manner!

posted on Tuesday, April 19, 2011 at 11:59 PM by Abhishek Syal


Comments have been closed for this article.