A fast-growing direct-to-consumer brand specializing in protein powders and sports nutrition products relied heavily on promotions to drive sales throughout the year.

Like many DTC companies in the category, the brand regularly ran discounts tied to major retail moments such as Black Friday / Cyber Monday, Memorial Day, and other seasonal events. In addition, shorter promotional campaigns were frequently used to stimulate demand during slower periods.

Promotions were clearly an important driver of revenue, but leadership lacked a clear understanding of their true economic impact.

Some campaigns generated large spikes in orders, while others appeared less effective. At the same time, it was difficult to determine how much of the promotional activity was actually creating incremental demand versus simply accelerating purchases that would have occurred anyway.

As the company grew, the financial stakes became larger. Discounting decisions affected not only revenue but also margins, customer expectations, and the brand’s long-term pricing strategy.

Leadership wanted a clearer answer to a fundamental question:

Which promotions were genuinely driving incremental demand, and which were primarily reducing margins without creating new sales?

The Challenge of Measuring Promotional Effectiveness

Promotional performance is notoriously difficult to evaluate. High-level metrics such as total revenue during a promotion can be misleading. A campaign that produces strong sales may simply be pulling forward purchases from customers who would have bought at full price a few days later.

Similarly, large promotional spikes can mask important differences between customer segments. Some discounts attract new customers, while others primarily encourage existing customers to stock up during promotional periods.

Without a structured analytical framework, companies often rely on intuition or short-term revenue results when designing their promotional calendars.

In this case, the company had detailed transactional data but had not yet analyzed it in a way that isolated the true incremental impact of its promotions.

What the Data Revealed

Keenalytix analyzed the company’s transaction-level sales history across multiple promotional periods and customer purchasing patterns.

The analysis compared purchasing behavior before, during, and after promotional campaigns, allowing the team to distinguish between genuine demand creation and purchase timing effects.

Several important patterns emerged.

Certain promotions were highly effective at generating incremental demand. These campaigns attracted new customers and produced repeat purchasing behavior in the weeks and months that followed.

Other promotions, however, primarily influenced when customers purchased rather than whether they purchased. These campaigns produced large short-term spikes in revenue but were followed by noticeable slowdowns as customers delayed future purchases after stocking up during the promotional window.

The analysis also revealed differences in how existing customers and new customers responded to discounts. Some promotional structures were far more effective at bringing new customers into the brand, while others primarily rewarded loyal customers who were already likely to purchase. These distinctions were difficult to see in headline sales figures but became clear when analyzing purchasing behavior at the transaction level.

Designing a More Disciplined Promotional Strategy

With a clearer understanding of promotional economics, leadership was able to rethink how discounts were used throughout the year.

Rather than treating every promotional event as a similar opportunity to boost sales, the company began differentiating between promotions designed to attract new customers and those intended to stimulate demand from existing customers.

This made it possible to redesign parts of the promotional calendar, refine discount levels for major retail events, and align promotional strategies more closely with the company’s growth objectives.

The analysis also helped leadership evaluate future promotional ideas more rigorously by providing a framework for measuring incremental demand rather than relying solely on headline sales performance.

From Promotional Activity to Promotional Strategy

What initially began as an analytical project ultimately helped the company bring greater discipline to an area of the business that had previously been driven largely by intuition and industry norms.

Promotions remained an important part of the company’s commercial strategy, but leadership gained a clearer understanding of when and how discounts should be used to support profitable growth.

Instead of asking only how much revenue a promotion generated, the company could now evaluate whether the promotion actually created new demand and strengthened the long-term economics of the business.

Why This Case Matters

Promotions are one of the most common pricing mechanisms used in consumer businesses, yet their true impact is often poorly understood.

Without transaction-level analysis, companies risk interpreting promotional performance based on short-term sales spikes that may not reflect genuine demand creation. This case illustrates how deeper analysis of purchasing behavior can reveal the true economics of promotional activity, allowing businesses to design promotional strategies that support both revenue growth and long-term profitability.

Related Case Studies

Before You Buy the Company, Understand the Customer Economics

The Growth Was Already There. Pricing and Promotions Were Hiding It