{"id":16091,"date":"2025-10-15T11:10:16","date_gmt":"2025-10-15T11:10:16","guid":{"rendered":"https:\/\/dmsretail.com\/RetailNews\/the-promotion-paradox-how-retailers-can-rethink-holiday-sales-strategy\/"},"modified":"2025-10-15T11:10:16","modified_gmt":"2025-10-15T11:10:16","slug":"the-promotion-paradox-how-retailers-can-rethink-holiday-sales-strategy","status":"publish","type":"post","link":"https:\/\/dmsretail.com\/RetailNews\/the-promotion-paradox-how-retailers-can-rethink-holiday-sales-strategy\/","title":{"rendered":"The Promotion Paradox: How Retailers can Rethink Holiday Sales Strategy"},"content":{"rendered":"

\"Retail<\/a><\/p>
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Every holiday season, we hear the buzz of internal celebrations, \u201cCompany XYZ Celebrates Record Black Friday!\u201d Carts are full, conversion rates are up and execs breathe sighs of relief.<\/p>\n

But when the dust settles, the numbers tell a different story: Q4 profit was down YoY, margins plummeted and Q1 sales have started off soft.<\/p>\n

What happened?<\/p>\n

This is the promotion paradox: retailers celebrating record-breaking sales days while actually losing money. The root cause is failing to measure the incremental<\/em> impact of promotions. Those Black Friday \u201cextra\u201d sales? Many of them would have happened anyway at full price. Instead, deep discounts simply shifted existing demand into a narrow window, eroding margins rather than growing the business.<\/p>\n

I\u2019ve seen retailers transform this dynamic, turning promotions into genuine profit drivers. Here\u2019s how you can do the same.<\/p>\n

Understanding \u201cPull-Forward\u201d and \u201cPull-Backward\u201d Effects<\/strong><\/h3>\n

The first and biggest issue with promotional events isn\u2019t that they don\u2019t drive sales. It\u2019s that they risk shifting the timing of sales that would have happened anyway<\/em>.<\/p>\n

In the weeks leading up to Black Friday, for example, customers regularly delay their purchases as they wait for better deals. This push-backward<\/em> effect, as I like to call it, leads to steep revenue drop-offs in early November. Then, after the big promotion period, these same customers might stop buying altogether, leading to a pull-forward<\/em> effect that flattens sales in December and January. These phenomena can be especially true for brands that have created the expectation of steep BFCM discounts every year.<\/p>\n

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Example of a promotion that drove negative incremental revenue contribution for a retailer. The negative impact of pull-forward and pull-backward effects outweigh the sales day revenue spike.<\/figcaption><\/figure>\n

I see this play out every year across the retail space, where many brands experience the holiday season as an extended promotional blur. As industry insiders have pointed out, discounts that once lasted a weekend now span nearly two weeks, often just to meet platform demands like Amazon\u2019s 12-day BFCM window. This forces smaller brands to choose between volume and viability, as discounts beyond 30% off can quickly become unprofitable in lower-margin categories like beauty.<\/p>\n

There are circumstances where the spikes in revenue during promo periods are great and profitable for brands. But there are others where they mask considerable issues. I\u2019ve seen brands run multiple discounts per year whose incremental revenue contribution was in the negative<\/strong> seven figures \u2013 each!<\/p>\n

How does this happen? Imagine offering a 40% discount to loyal customers, 95% of whom would purchase your product at some point in Q4 regardless of its price. With the promotion, you\u2019re merely paying a tax on demand you\u2019ve already built for your business. Multiply this across categories, and it\u2019s no wonder retail profits often suffer despite banner revenue months.<\/p>\n

Rethinking Traditional Retail Measurement<\/strong><\/h3>\n

A more subtle driver of the promotion paradox is measurement. Many retail marketing analytics teams look at the wrong metrics with the wrong temporal scope. They focus on YoY comparisons of topline revenue, conversion rates, AOV and attribution metrics, instead of zooming out and considering whether any of these sales were incremental for their business.<\/p>\n

Remember, promotions \u2013 particularly when they\u2019re routine and expected \u2013\u00a0 can dramatically shift demand. This means that comparing metrics for the same calendar week across years ignores whether sales were moved from October, December or even Q1 of the following year.<\/p>\n

Worse, while platform-reported metrics like ROAS or attributed conversions tell you what happened, they can\u2019t capture if sales were incremental. In other words, they can tell you that your ads were touched along the path to purchase, but can\u2019t tell you whether those purchases would have happened anyway without an ad or promotional intervention.<\/p>\n

Without this clear view of causality (which sales would not have happened without a marketing intervention), teams will keep celebrating spikes that are actually cannibalizing future growth.<\/p>\n

Solving the Promotion Paradox with Intentional Measurement<\/strong><\/h3>\n

To avoid these pitfalls, retailers can start by asking better questions about promotion planning:<\/p>\n

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  1. What would we expect sales to be without this promotion?<\/li>\n
  2. Are we creating new demand, or simply shifting it?<\/li>\n
  3. What\u2019s the true incremental profit impact of the promo (not just revenue)?<\/li>\n
  4. Are discount-driven customers worth less over time than full-price ones?<\/li>\n<\/ol>\n

    To begin answering these questions, it\u2019s important to use tools intentionally to measure the true impact of your promotions. Here are some strategies that I\u2019ve seen deliver results:<\/p>\n