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markets

CPG Syndicated Data Markets: Part 2 – The Nitty-Gritty

May 29, 2018 By Sally Martin 20 Comments

  Markets are one of the four dimensions that are fundamental to CPG data. I’ve written a two-part series to cover all aspects of the topic. Who should read this post (Part 2)? Anyone interested in the details about how Nielsen/IRI/SPINS cover the following brick & mortar channels: Grocery/Food Mass Merchandise/Walmart Drug Dollar Club Military […]

Filed Under: How To Understand Your Database Tagged With: channels, markets

CPG Syndicated Data Markets: Part 1 – The Big Picture

April 24, 2018 By Sally Martin 10 Comments

What Channels Are Available From NielsenIQ and Circana? This is one of our most frequently asked questions! It sounds like a simple one but, as with most things involving syndicated data, the answer is not so simple. In this post, I’ll provide an overview of which types of retailers are available from the FMCG syndicated data […]

Filed Under: How To Get Started with Nielsen/IRI Tagged With: channels, markets, the basics

xAOC and MULO: Multi-Channel Markets in Nielsen & IRI

April 29, 2013 By Robin Simon 40 Comments

Are you confused by the terms “xAOC” or “MULO?”  Do you wonder what happened to FDMx?  (Do you even know what FDMx is?)  This post will clear things up for you!   These are the terms that IRI and Nielsen use for  their multi-channel markets.  These markets are designed to provide an estimate of sales across […]

Filed Under: How To Get Started with Nielsen/IRI, How To Understand Your Database Tagged With: FDM, FDMx, markets, markets available, MULO, xAOC

The 4 Key Dimensions In Every Nielsen/IRI Database

November 6, 2012 By Sally Martin 2 Comments

Does it seem nerdy to worry about data structure when your goal is business insight? It’s not (I promise).  Understanding the nitty gritty of your IRI or Nielsen data will ensure you buy the right information and interpret it correctly. The 4 Dimensions are the grammar of the scanner data language. They impact the price […]

Filed Under: How To Understand Your Database Tagged With: Facts, markets, Measures, periods, products

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About CPG Data Tip Sheet

The CPG Data Tip Sheet is published by Kevin Lehmann and Goods Group. It was founded in 2012 by Sally Martin and Robin Simon, two consultants who met in business school over a shared interest in the geeky side of marketing and went on to build independent practices of their own. Over more than a decade they turned hard-won experience into plain-English explanations of how CPG data actually works and how to analyze it.

Robin and Sally built this into something the CPG and consumer industry trusts. It continues in that spirit.

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  • How To Get Started with Nielsen/IRI (22)
  • How To Understand Your Database (13)
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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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Categories

  • Glossary (80)
  • How To Answer Business Questions (43)
  • How To Communicate Insights (19)
  • How To Get Started with Nielsen/IRI (22)
  • How To Understand Your Database (13)
  • Know Your Measures: Distribution (25)
  • Know Your Measures: Pricing and Promotion (45)
  • Know Your Measures: Sales (21)
  • Miscellaneous (6)
  • Uncategorized (1)

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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