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CPG Demand Signals Report

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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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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. 

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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…

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CASE STUDY

A leading personal care brand boosts sales by optimizing holiday inventory

A leading personal care brand boosts sales by optimizing holiday inventory

Snapshot

SOLUTION AREA

Supply Chain

SOLUTION

On-shelf Availability

INDUSTRIES

CPG

CLIENT

Manufacturer

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The Objective

A leading personal care brand wanted to optimize sales and reduce excess inventory for its holiday gift packs since they are not replenished during the postseason.

The Solution

The Solution

By improving the accuracy of seasonal gift pack forecasting, the personal care brand worked with a retailer to optimize seasonal sales. Using Circana’s data at the store, item, and day level, the brand analyzed last season’s performance and missed sales from out-of-stocks.

The Results

Based on this analysis, the brand provided store-level recommendations to the retailer for better order forecasting. As a result, the retailer increased its orders during an eight-week seasonal period and grew incremental sales by millions compared to the prior year.

The Results
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+50%

Increased orders from the retailer

+$3.8M 

Incremental sales

Ready to apply this to your business?


Optimize inventory to capture peak-season demand and maximize sales. Let’s talk!


Related Case Studies

Here are some other case studies that can help shape your future.

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