top of page
Circana Navigation
Left Sidebar.jpg

Resources

Demand Signals Report

CPG Demand Signals Report

Monitoring the impact of macroeconomic factors, including tariffs, on volume, price, and supply on U.S. consumer behavior within the CPG Industry. 

New strategies and tactics.

Circana's official announcements.

Circana in the press.

Industry rankings vs. previous data period.

See how Circana can help your business grow.

Perspectives from our thought leaders.

A curriculum to address your needs.

Solving challenges that matter to you.

Thought leaders giving growth insights.

Consumer insights and buying trends.

cider-background.jpg

Cold weather = cozy habits unlocked. ❄️

Quick Insight

☕Americans drink 40% more hot chocolate during the winter months (December–February) than any other time of year. What’s your go-to cozy beverage?

Which cozy drink do you prefer?

Company

Solutions

Not sure where to start?

Uncover the right solution for your business in a few clicks.

Our Liquid Data® technology provides cross-industry data and advanced analytics in a single, open platform.

SOLUTIONS

Answer the most pressing business questions.

Designed for small CPG businesses. 

Curated reports and guided analysis.

Data and analytics for a single source of truth. 

Liquid-Data-Go-Hero.jpg

Liquid Data Go®

Grow Faster.

Dream Bigger.

Liquid Data Go® helps growing CPG brands show their value with insights into performance, consumer behavior, e‑commerce trends, and pricing across key retailers.

Suggested solutions

Liquid Data Go® helps small to midsize CPG brands grow faster and dream bigger.

Understand complex consumer behavior with clear, accurate insights into omnichan…

Circana’s Liquid Data Collaborate™ solution helps you bring all your data togeth…

Not sure where to start?

Uncover the right solution for your business in a few clicks.

Right Sidebar.jpg

Dictionary Term

Items per Store

Like it? Share it!

TERM

Items per Store

Average number of SKUs carried per store.

Definition

Items per store equals total unique UPCs divided by number of stores.

How to Calculate

Count unique items across stores and divide by store count.

Why it Matters

Shows assortment depth and complexity.

Key Advantages

Helps right-size the lineup.

Example

600 items across 100 stores equals 6 per store.

Use it to

Calculate average number of items carried per store to read distribution of assortment. Identify stores with incomplete coverage and target fixes to improve availability.

View all solutions that

bottom of page