From the Help Desk: How to Analyze all PRIZM Segments at Once
Hi everybody! We’re back this week with another question from our Help Desk. This time featuring SimplyAnalytics Canada. Let’s get started!
Question: How can I analyze all of the PRIZM5 segments for my target area so I can identify the most common segment?
Note: For those unfamiliar with the PRIZM data, this dataset is a marketing segmentation system where households are grouped into one of 68 unique segments based on: demographics, lifestyles, consumer behaviour and settlement patterns in Canada. These segments help you understand what customers are buying, doing and thinking. This is ideal for target marketing, trade area analysis, merchandising and media planning.
Please give us an email if you would like a free trial to the PRIZM data - it is available for both SimplyAnalytics USA and SimplyAnalytics Canada.
Answer: The quickest and easiest way to analyze many similar variables at once is to utilize the Related Data Table. The Related Data Table automatically adds in any similar variables to your chosen one. In this example, we’ll add one PRIZM segment, and the report will add all of them in. This can be used with any variable or dataset - give it a try!
Here’s how:
1.) Click on New View towards the top right, then create under Related Data Table
2.) Within the Data block, select any of the PRIZM segments, close the panel, and click on Done.
3.) The report will automatically add all PRIZM segments in the category you selected (households, in this case). Click on your location and Sort Descending to view the top segments in the given area. This is a powerful tool for users who want to market a product to a specific segment.
BONUS TIP: Within the Data Documentation page in the Support dropdown (top-right) users have access to the 2019 PRIZM Marketer's Handbook. Check out the super helpful Quick Reference PRIZM Guides on page 212 and 234. This is a great starting point for marketers to determine which PRIZM segments they want to focus on depending on age, children, urbancity, income, etc. For example, if you want high income suburban young families, you'd want Pets & PCs. You can favorite that PRIZM Segment, and use it in a Ranking Report to find out where all the Pets and PCs folks live in your requested geography.
That’s it for this week’s blog! Stay tuned for more.
More from SimplyAnalytics
Posted on May 24, 2023 by Admin
SimplyAnalytics is excited to attend. Swing by booth 1733 for a brief demo, and discover how our user-friendly demographics, business, health & marketing data analytics and visualizat...
Posted on Jan 28, 2010 by Admin
Come visit the Geographic Research booth at the Ontario Library Association Super Conference, February 24-27, 2010 at the Metro Toronto Convention Centre. The Ontario Library Association ...
Posted on Jun 08, 2015 by Admin
In this week’s report we take a look at one folder found within SimplyMap’s SimmonsLOCAL data package. SimmonsLOCAL is a powerful targeting and profiling system that provides insights int...
Posted on Oct 07, 2013 by Admin
Do you know the quickest way to find the name of a Block Group, Census Tract or ZIP code in our upcoming release for 3.0? The i-Tool gives you the ability to click anywhere on a map to g...
Posted on Oct 12, 2010 by Admin
NC LIVE, a member-driven library service organization dedicated to providing online information services that support education, enhance statewide economic development, and increase qu...
Posted on Nov 24, 2014 by Admin
In this week’s report, we research America’s most educated cities. SimplyMap contains a total of 111 educational attainment variables, including general population and by race. We used th...
Posted on May 31, 2011 by Admin
Kenneth Johnson of the Science, Industry, and Business Library at the New York Public Library recently provided a "boot camp" on the library's market research resources to budding entrep...
Posted on Feb 21, 2018 by Admin
We are looking forward to sharing SimplyAnalytics with the public library community at the upcoming PLA 2018 Conference in Philadelphia, PA. Our team will be exhibiting in Booth #855. Vis...
Posted on Mar 30, 2016 by Admin
In previous blog entries we highlighted the usefulness of viewing multiple years of data for the same variable. In short, analyzing the same variable across multiple years allows users to...
Posted on Dec 11, 2023 by Admin
Hello readers! We have some fantastic news to share. SimplyAnalytics is thrilled to announce the addition of 2020 Election data to our expanding collection of powerful datasets. With this...


