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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. 

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25-34-year-olds are

21%

more likely to drink pumpkin coffees than the average consumer

Quick Insight

It's that time of year again... pumpkin spice is back. 🎃☕

 

According to Circana, 25–34-year-olds are the most likely to enjoy pumpkin-flavored coffee, proving the season's signature sip is going strong.

 

Are you team “too early” or “right on time”?

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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. 

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LIQUID DATA™ ESSENTIALS

When Your Data Speaks Retail

See performance the way retailers do without the need for a large team or budget. Built for small and mid-sized suppliers working with major 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…

See performance the way retailers do without the need for a large team or budget…

Not sure where to start?

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

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CASE STUDY

Price and Trade Advantage™ case study sees +£600K Sales growth from revising the pricing strategy

price and trade advantage case study a high end uk department store

Snapshot

SOLUTION AREA

Analytics

SOLUTION

Price & Promotion

INDUSTRIES

Home

CLIENT

Retailer

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The Challenge

A high-end UK department store wanted to understand the role of price in their home categories. More specifically they wanted to understand the optimal price points to maximize revenue.

Insight

Insight

Leveraging the Price and Trade Advantage™ solution, Circana analyzed the price elasticity of each product in the category and ranked them from least to most elastic. Circana recommended:

  • Keeping the price of those products that were the most price sensitive at current levels

  • Increasing the remaining products in the category by 10%, which were not price sensitive

The Results

By increasing the price on the non-price sensitive products, the client yielded +£600K in sales in the first 3 months after the change.

The Results
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+ £600K

Sales

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Ready?

Contact us to find out how you can increase sales and market share, make better predictions, and increase profit.

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