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Segmenting Shoppers: Not All Shoppers Are Contributing the Same to Your Category Performance

June 19, 2019 By Guest 4 Comments

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It’s a pleasure to feature this guest post from our colleague and fellow consultant Dan Wasser. Dan’s data expertise and savvy insights derive from long experience with syndicated data and category management in a variety of roles. You can learn more about Dan (and how to contact him) at the end of this article.  Robin […]

Filed Under: How To Answer Business Questions Tagged With: panel data, segmentation, shopper data, shopper marketing

Size of The Prize: How Much Is It Worth If Shoppers Buy ONE MORE TIME?

May 14, 2019 By Robin Simon 6 Comments

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This is the second in a series of posts on how to quantify the impact of improving the various elements of consumers’ purchase behavior. These purchase behavior analyses are based on household panel/shopper data (not POS/store data).  Take a look at these posts if you need a refresher on this type of data: Overview of […]

Filed Under: How To Answer Business Questions Tagged With: panel data, purchase frequency, shopper data

Size of The Prize: How Much Is Another Point of PENETRATION Worth?

March 26, 2019 By Robin Simon 4 Comments

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This is the first in a series of posts on how to quantify the impact of improving the various elements of purchase behavior among consumers.  Some posts will focus on increasing sales for a manufacturer (probably more useful if you are in Marketing) and others will focus on increasing sales for a retailer (more useful […]

Filed Under: How To Answer Business Questions Tagged With: panel data, penetration, shopper data

From Syndicated to Custom: Transform Your Nielsen/IRI Product Data – Part 2

February 20, 2019 By Sally Martin 2 Comments

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In my previous blog post, I described two ways to customize your Nielsen/IRI product data by renaming and grouping product values. In a continuation of that post, I’ll now describe a third way of customizing your data—by creating new attributes. 3. Create New Attributes We’re all accustomed to creating new measures, like dividing dollars by units […]

Filed Under: How To Understand Your Database Tagged With: attributes, characteristics, products

From Syndicated to Custom: Transform Your Nielsen/IRI Product Data – Part 1

January 23, 2019 By Sally Martin 1 Comment

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The “syndicatedness” of IRI/Nielsen data is one thing that makes it so powerful. Think about it: IRI and Nielsen capture, label and organize millions of product transactions across hundreds of retailers and then distribute a comprehensive dataset set to thousands of businesses. As a result, everyone can start with the same data, making it easier […]

Filed Under: How To Understand Your Database Tagged With: attributes, characteristics, products

ecommerce datasets for analytics

The State of eCommerce Data, Measurement & Analytics in 2018

December 6, 2018 By Guest 2 Comments

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We’re delighted to have guest contributor Sandy Skrovan, content marketing manager for Profitero, sharing her expertise in ecommerce intelligence. Please direct comments and questions directly to Sandy. Her contact details can be found at the end of this article. A flurry of activity this past year is transforming the eCommerce data, measurement and analytics landscape. As companies […]

Filed Under: How To Answer Business Questions Tagged With: data sources, ecommerce, other resources

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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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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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