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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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Solutions

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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.

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.

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…

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TERM

At-Risk Items

Items likely to be discontinued or lose space.

Definition

At-risk items are SKUs with weak velocity, low distribution, or poor margin that may be delisted.

How to Calculate

Flag SKUs below thresholds for velocity, distribution, or profitability.

Why it Matters

Helps prevent lost facings and guides rescue plans.

Key Advantages

Early warning prompts action with retailers.

Example

A SKU selling 0.1 units per store per week is at risk.

Use it to

Identify SKUs likely to be delisted based on low sales, weak velocity, or compliance gaps. Prioritize tests or replacements and estimate the impact if those items are removed.

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