Transforming your syndicated data into business insight
A few weeks ago, I wrote about the benefits of retail sales data for CPG manufacturers. And I summarized the four types of retail sales data which are formed by a combination of two parameters: data source (syndicated vs. retailer direct) and data focus (store vs. shopper). In this post, I’ll discuss data source in […]
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: Which article has helped you the most? What […]
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 price, discount, and trade merchandising measurement.) Take a moment and imagine […]
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 encounter. In fact, it’s not even the only type of retail sales data! […]
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 merchandising measurement.) We’re all familiar with discounts – everybody likes to get things “on sale.” […]
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 retailer to increase the number of varieties for our target brand. […]
