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Blog » Glossary » Crowdsourcing Common CPG Calculations and Formulas

Crowdsourcing Common CPG Calculations and Formulas

December 2, 2020 By Robin Simon 31 Comments

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A reader recently asked if we could recommend a reference document resource that contains a comprehensive list of calculations or formulas used in CPG.  While our Glossary currently contains over 75 terms and abbreviations (many with calculations), we are considering expanding our glossary scope beyond syndicated data to cover other types of CPG metrics. We would like to produce a stand-alone file that could be downloaded for offline referencing.

Please share in the comments below (or you can reply to our subscription email if that’s where you are reading this):

  • Your favorite calculations
  • Anything that you are often asked to explain
  • Anything that you never remember and always have to look up

Thanks in advance, dear readers!

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Filed Under: Glossary, Miscellaneous Tagged With: calculations, crowdsource, formulas, glossary

Reader Interactions

Comments

  1. Kelly says

    December 2, 2020 at 10:52 am

    CAGR
    Formula for previous year when you have current year and % growth

    Reply
    • Sally Martin says

      December 2, 2020 at 10:56 am

      Kelly, I always have the look up that second one myself! Thanks for the suggestions!!

      Reply
    • Mayank ahuja says

      December 12, 2020 at 2:32 am

      Hi – Gross sales, Net sales, Trade funds, promotion ROI for CPG.

      Reply
    • Tom says

      January 12, 2022 at 11:39 am

      i agree cagr is often used at my company

      Reply
  2. Scott Wahl says

    December 2, 2020 at 10:54 am

    Most definitely anything related to ACV

    Reply
    • Sally Martin says

      December 2, 2020 at 10:58 am

      Thanks Scott! What aspects of ACV are most confusing?

      Reply
      • FM Muñoz says

        January 6, 2021 at 5:22 pm

        Nearly all my clients prefer to talk about doors / stores selling because they feel so much more concrete than the ACV. I’m always fighting the good fight for ACV, but it remains hard to move non-data nerds to the measure.

        Reply
        • Sally Martin says

          January 14, 2021 at 3:55 pm

          Fair point! Maybe we should use both. Within a retailer, using units/store/week might be most helpful, since it’s more intuitive. But if we are comparing one retailer to another, looking at a measure like $/million can reveal strengths of a smaller retailer versus a larger one.

          Reply
  3. michael rathburn says

    December 2, 2020 at 10:57 am

    I used price per oz in beverage and meat snacks quite a bit. It allows you to know where your brands rank in terms of value.

    Reply
    • Sally Martin says

      December 2, 2020 at 11:01 am

      Thanks Michael! Price per volume is an interesting topic because, in some databases, there is a not a good volume metric. I have a client where the volume is just units again which is not helpful. Do you get price per ounce from Nielsen/IRI or do you have to calculate it yourself?

      Reply
  4. Stacy Kaplan says

    December 2, 2020 at 11:31 am

    Common Excel formulas, such as Index/Match, Sumifs, and Vlookup.

    Reply
    • Sally Martin says

      December 3, 2020 at 9:25 am

      Good idea! I hadn’t thought about including Excel formulas but that makes perfect sense.

      Reply
      • Julie says

        February 3, 2021 at 3:17 pm

        TechontheNet is an amazing source for that too! It doesn’t just provide definitions of how to use them, but also pictures with examples.

        Reply
        • Sally Martin says

          February 4, 2021 at 5:37 pm

          Thanks for the tip!

          Reply
  5. Lisa J Ennis says

    December 2, 2020 at 1:22 pm

    Great idea! Kelly already suggested the first two that came to mind. Another — outside syndicated — would be calculating Retail $ Sales when you’re given Cost $ and know (or estimate) Margin %.

    Reply
    • Sally Martin says

      December 3, 2020 at 9:25 am

      Thanks! Formulas for integrating multiple data sources are always helpful. Appreciate the suggestion!

      Reply
  6. Alex says

    December 2, 2020 at 2:21 pm

    Hi, I’ve been working with IRI for a few moments, and now we’ve changed to Nielsen. Would like to know how are the facts/measures called in each platform. For instance, is the same USW than SSPD? Cheers

    Reply
    • Sally Martin says

      December 3, 2020 at 9:24 am

      That’s a good idea!

      Reply
  7. Jennifer says

    December 2, 2020 at 4:27 pm

    Formula for margin and markup

    Also promotional formulas like lift and subsidized sales

    Love this site btw!

    Reply
    • Sally Martin says

      December 3, 2020 at 9:23 am

      Thanks for the suggestions!

      Reply
  8. Manish Kadam says

    December 3, 2020 at 11:00 am

    Base support and incremental lift

    Reply
    • Sally Martin says

      December 3, 2020 at 12:43 pm

      Thanks Manish!

      Reply
  9. Sally Martin says

    December 5, 2020 at 3:31 pm

    Yes! Thank you for the suggestions.

    Reply
  10. Jerryn says

    December 8, 2020 at 12:09 am

    Share/Market Impact and Price Mix were always confusing for me!

    Reply
    • Sally Martin says

      December 9, 2020 at 10:39 am

      Thanks for the suggestions!

      Reply
  11. FM Muñoz says

    January 6, 2021 at 5:23 pm

    I second this!

    Reply
  12. Jennifer Soules Graf says

    January 18, 2021 at 12:41 am

    The difference between increasing/decreasing % ACV and increasing/decreasing store doors (PODs). Just because a product lost store doors does not necessarily mean it also lost % ACV.
    Explaining this concept (a product losing store doors but gaining in % ACV) has been a successful way for me to help people understand what % ACV actually means and how it can be applied.

    If I am off-track in my explanation, I welcome any feedback!

    Reply
    • Robin Simon says

      January 19, 2021 at 9:44 am

      Hmmm…I feel like the case of a product losing store doors but increasing its %ACV distribution would be very rare. Maybe if the stores themselves that kept their distribution were bigger over time (i.e. as measured by total ACV $). I’d love to see other examples of that happening – feel free to send a message via Contact and we can discuss further offline.

      Reply
  13. Nancy says

    January 20, 2021 at 3:31 pm

    Love this idea! I often validate many of my formulas using this site.

    Reply
  14. JM says

    May 27, 2021 at 9:27 am

    Can you point me to any resources to understand how mix impacts the average price per category. For example, say I sell 3 items (equal vol of units) and the avg price is $10. But next quarter my mix changes to a 40/40/20 split and my avg price drops to $9.00. Trying to understand the contribution of each item to the $1.00 delta ($10-9). Thanks in advance.

    Reply
    • Robin Simon says

      May 31, 2021 at 7:42 pm

      Take a look at this post, where I say “At the category level, it never makes sense to look at price per unit. (Yes, I did say never! This is one of the few times I use that word with respect to data analysis.)” You need to know the before and after prices of all 3 items to do the calculation you’re asking about. Feel free to click here and send me actual data and I can show you how to do it.

      Reply

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About CPG Data Tip Sheet

We (Sally Martin and Robin Simon) first met in business school and bonded over our interest in geeky marketing stuff. Eventually we both started independent consulting practices. Now we’ve reunited to share with you some of what we’ve learned in our decades of experience working with syndicated CPG data.

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Categories

  • Glossary (79)
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  • How To Communicate Insights (17)
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  • Know Your Measures: Distribution (24)
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Search CPG Data Tip Sheet

Tags

ACV analysis examples analytic skills attributes average items base base weighted weeks career development category management channels characteristics coronavirus coverage factor covid-19 Database distribution due-to Excel tips Facts incremental markets Measures merchandising new items panel data periods pricing pricing strategy products promoted price quantify opportunity retailer direct data retailer markets shopper data store data Syndicated TDP the basics trade promotion trading areas velocity visualization visualizations volume bridge volume decomposition

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