• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer

CPG Data Tip Sheet

Transforming your syndicated data into business insight

  • Home
  • Glossary
  • About Robin Simon
  • About Sally Martin
  • Contact
Blog » How To Communicate Insights » Timing is Everything, Part II: Which Time Period(s) Should I Look At?

Timing is Everything, Part II: Which Time Period(s) Should I Look At?

April 15, 2013 By Robin Simon 3 Comments

Print Friendly, PDF & Email

For a quick refresher on which time periods you can get on your database, see this previous post: Timing is Everything, Part I.

Aggregated v Trended Periods Summary

Given all the possible time periods that you may have access to, it is important to first determine what business question you are trying to answer.  There are 2 ways to think about periods:  aggregated or trended.

If you are assessing overall business performance or are trying to quantify the impact of an action that was taken, then you should use an aggregate time period and compare performance vs. that same period a year ago.   That’s the most straightforward way to see a snapshot in time of what is happening.   To get an idea of recent performance, the most common aggregates used are 12 (or 13) weeks.  It can be misleading to just look at one month or 4-week period to assess overall business performance due to the possible impact of shifting trade events.  52 weeks is a good period to use when trying to understand longer-term performance, but you may want to also look at trended results over a long period.  That will let you see if the 52-week change has been consistent over time.  Look at YTD (year-to-date) to compare results to your company’s plan for the fiscal year.

While it is often sufficient to just look at the numbers in a table to understand what is happening in an aggregate period, creating some graphs can help put things in better perspective.

Widgets $ Sales and Chg vs. YA

Aggregate Period examples

If you want to track new product performance (yours or a competitor’s), analyze trade promotions (especially when there are specific key weeks) or determine when a specific thing happened in the market (retail price change, competitive entry, flow-through of new package size, etc.), then you should look at trended periods.  It is most common to look at trended individual weeks or 4-week periods.

Trended Distribution example

Trended Price example

Look for future posts on CPG Data Tip Sheet with specific examples of analyses using aggregate or trended periods.

If you enjoyed this article, subscribe to future posts via email. We won’t share your email address with anyone.

Share11
Tweet
Share

Filed Under: How To Communicate Insights, How To Get Started with Nielsen/IRI Tagged With: periods, time, time period

Reader Interactions

Comments

  1. potentlanguage says

    April 22, 2013 at 12:21 pm

    Thanks for a really clear and coherent explanation of these concepts!

    Reply
  2. Harold Anderson says

    February 17, 2021 at 12:48 pm

    I’m sorry, but I still don’t understand the difference between aggregate and trended. Rather than discussing when you would use them, could you please discuss how they are calculated and what they are?

    Reply
    • Sally Martin says

      February 17, 2021 at 3:49 pm

      An aggregate 13 week value is calculated from the individual 13 weeks that make up that quarter. A 13 week aggregate for dollar sales would be the sum of the individual 13 weeks of sales. A 13 week aggregate for distribution would be the average of the distribution for those 13 individual weeks. So how the aggregate is calculated depends on which metric – sometimes it’s the sum of the individual weeks and sometimes it’s the average of the individual weeks.

      You might want to look at the aggregate value for 13 weeks (the sum of the 13 weeks or the average of the 13 weeks expressed as 1 value) or you might want to look at the trended individual weeks (in other words see all 13 individual values).

      Does that make it clearer?

      Reply

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Primary Sidebar

Top Posts

  • The 2nd Most Important Measure: % ACV Distribution
  • Velocity: How Well Your Product REALLY Sells
  • Total Distribution Points: Master of All Distribution Measures
  • xAOC and MULO: Multi-Channel Markets in Nielsen & IRI
  • The Beginner’s Guide to Trade Merchandising Measurement

Search CPG Data Tip Sheet

Subscribe to New Posts

Get new posts delivered straight to your inbox. We won't share your email address with anyone.

Thank you for subscribing!

Subscribe

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.

Categories

  • Glossary (79)
  • How To Answer Business Questions (42)
  • How To Communicate Insights (17)
  • How To Get Started with Nielsen/IRI (22)
  • How To Understand Your Database (12)
  • Know Your Measures: Distribution (24)
  • Know Your Measures: Pricing and Promotion (45)
  • Know Your Measures: Sales (21)
  • Miscellaneous (6)

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

Footer

Categories

  • Glossary (79)
  • How To Answer Business Questions (42)
  • How To Communicate Insights (17)
  • How To Get Started with Nielsen/IRI (22)
  • How To Understand Your Database (12)
  • Know Your Measures: Distribution (24)
  • Know Your Measures: Pricing and Promotion (45)
  • Know Your Measures: Sales (21)
  • Miscellaneous (6)

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

Terms of Use | Copyright © 2025 CPG Data Insights · Log in