What article do you wish we would write?

Dear Blog Readers,

Wow, it’s been almost 2 years since we started CPG Data Tip Sheet! As we think about where to go next with this project, we wanted to get some feedback from you.  We’ll share the results of this mini survey in a future post:

  1. Which article has helped you the most?
  2. What article do you wish we would write?
  3. What are the biggest challenges you face in getting value from the syndicated data you are buying?

If you are getting this survey via email, you can simple “reply” to respond to our questions.   Or leave a comment on the blog.  Or reach out to us through our contact form.

Thanks for your input!

Robin Simon & Sally Martin

PrintFriendly and PDF

Mind The Gap! (The Price Gap, That Is)

mind-the-gap

This is the next in our series of posts about retail pricing. In this post I’ll talk about price gaps - how to calculate them and why they're important. (You may want to review these previous posts before continuing: retail pricing in general, base … [Continue reading]

CPG Fundamentals: What Is Syndicated Retail Sales Data?

Four Types of Retail Sales Data

CPG Data Tip Sheet focuses on education and best practices for analyzing syndicated retail sales data from IRI and Nielsen (and SPINS for those of you in the Natural/Organic sector). But syndicated data is not the only type of CPG data you’ll … [Continue reading]

Discount: The Often-Overlooked Pricing Measure

discount pic

In this post I’ll explain why discount is an important element of your pricing-trade strategy and the correct way to calculate it. (You may want to review these previous posts before continuing: retail pricing in general, base price and trade … [Continue reading]

How to Build an Argument for Increased Retail Distribution

Case Study 5 Dollars per Million Comparison

Over the last year, we’ve written lots of articles showing you how to use key IRI/Nielsen measures. In this post, I’ll pull together several of those lessons in a step-by-step mini case study. The goal of this analysis is a common one: convince a … [Continue reading]