The useful part
Adobe Stock September 14, 2026 by Aneesh Dhawan — CEO & Co-Founder, Knit Summarize with ChatGPT Grok Perplexity Claude You've noticed it happening: Christmas decor creeping its way into stores before Halloween has even waved goodbye. 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.
How it works
- 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).
- 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.
- 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...
What to take from it
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). 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. What visual, sensory, or value cues caught their attention?
Example or evidence
- Continuous research enables brands to adjust their schedules dynamically, not statically, across product mix, pricing, messaging, and channel distribution.
- General Omnichannel Customer Service Merchandising About Aneesh Dhawan Aneesh Dhawan is CEO and Co-Founder of Knit, the AI-Native Research Agency helping the world's most iconic brands power their most...
- 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...
- 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...
Details worth keeping
Why merchandising must follow behavior, not dates | Retail Customer Experience Test Link CONTINUE TO SITE » or wait 15 seconds Customer Service Why merchandising must follow behavior, not dates Merchandising used to be about timing, but now, it has to be about understanding. Back-to-school promos inching earlier and earlier into summer. 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.
Related coverage
- Kioskmarketplace: Retail innovation starts with the customer.
- Entrepreneur: Merch should be about building loyalty and spreading your brand —not squeezing more money out of customers.