Customer Service

Why merchandising must follow behavior, not dates

Merchandising used to be about timing, but now, it has to be about understanding. With solid enough research, the smartest brands won’t predict the future; they’ll sense changing consumer intent early enough to shape it.

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September 14, 2026 by Aneesh Dhawan — CEO & Co-Founder, Knit

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You've noticed it happening: Prime Day launching in June. Back-to-school promos inching earlier and earlier into summer. Christmas decor creeping its way into stores before Halloween has even waved goodbye.

These scheduling changes aren't anomalies; they reflect a deeper shift in how consumers allocate spending under mounting economic pressure. Shoppers don't follow the same schedules they used to because lower wages, inflation, and other liquidity constraints surround them from all sides, so why not buy school supplies in June if the deal is good enough?

Traditional merchandising calendars are failing because they assume stability in a world defined by volatility, leaving brands and retailers confused about when to roll seasonal products out (I do hope holiday decor manages to come no earlier than November, though).

The only way for brands and retailers to keep up with this increasingly fragmented demand curve is to know their customers as intimately as possible. What's going on in their lives? What do they want from brands, and how does that vary between demographics? The answers to these questions don't come from mere email surveys but legitimate, methodological, and rigorous consumer research. The more consumer insights that organizations can collect, the better they can stay ahead of demand before it shifts out from under them again.

Why real-time sentiment outperforms forecasted volume

Retail's legacy model relies on historical lift data and seasonal forecasts (for example, the notion that back-to-school shopping always peaks in August). This model was highly calculated and pragmatic, so it was never ill-advised — it's just not enough anymore given the sheer number of factors in an ever-changing equation.

The modern approach uses real-time sentiment signals to anticipate fluctuations before they impact sales. Testing messaging, concepts, attitudes, behaviors, and more gives brands insight into how they should invest and when rather than gambling on past predictions. For example, timepiece manufacturer Timex didn't want to waste resources on a merchandising calendar that didn't align with consumer interest, so it conducted pre-launch concept testing studies to validate its roadmap in advance.

Look at our back-to-school example, too. Why is it encroaching earlier and earlier into the summer when actual school start dates haven't changed? It's often so financially strained parents have an elongated opportunity to capitalize on deals. Yes, it's grim. Families want to spread shopping out over the course of several months to align with multiple pay cycles. Rather than wait to appeal to struggling parents at the same time they did last year, school supply manufacturers and retailers figured out this changing behavior through research and premptively applied it to their merchandising calendars.

Capturing the decision-making process

Financially constrained consumers are also not going to go out of their way to tell brands and retailers about their lives. Social media engagement, reviews, search query data, cart abandonment rates, customer service interactions, and loyalty program activity are all valuable information sources, but they're not the same thing as incentivized research.

Compensated consumers are far more likely to be honest and thoughtful about answering questions you have for them. Quantitative and qualitative studies can glean insights into not just what people buy and how they feel about it (as suggested via reviews and customer service calls), but why, how urgently, and under what conditions.

Brands can actually capture shoppers' decision-making processes through voice-of-the-consumer video interviews and methodologically designed quantitative surveys. Observational research techniques like shop alongs, for instance, are also an excellent way to actually follow consumers through stores and monitor their rationales in real time (a tedious thing to do manually, but there are technological replacements that are equally effective). You can answer business questions like:

• What visual, sensory, or value cues caught their attention?
• Why are they loyal to a particular brand, if any?
• What recent life changes have made them reconsider their typical purchases?
• How do decide whether a product is worth it? What value equation do they operate with?

Analyzing this information grants retailers and brands unified behavioral data they can use to inform merchandising decisions far more strategically than historical data that quickly becomes obsolete.

When historical data is a liability

Past performance can hint at future results, but just because a golfer hit a hole-in-one last round doesn't mean he'll do so again if the green is longer and the wind picks up. Similarly, a retailer that doubles down on premium electronics because it experienced success in that category last year isn't guaranteed that same success if inflation spikes in such a way it forces shoppers to prioritize groceries and essentials.

The cost of this kind of misalignment includes expensive production waste, overstocked inventory, eroded margins, and other missed opportunities. Calendrically inflexible campaigns are likely to fail to resonate with consumers facing a turbulent economic landscape. It's easy for retailers and brands to follow economic trends through public sources and roughly anticipate how they will affect shoppers, but consumers aren't monolithic. It's another thing to measure actual sentiment and how different audience demographics prioritize convenience, price, trade-offs, and otherwise perceive value when under budget pressure.

The ultimate message: listen to consumers, including those who aren't customers yet. Continuous research enables brands to adjust their schedules dynamically, not statically, across product mix, pricing, messaging, and channel distribution.

Merchandising used to be about timing, but now, it has to be about understanding. With solid enough research, the smartest brands won't predict the future; they'll sense changing consumer intent early enough to shape it.

About Aneesh Dhawan

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