The conventional wisdom is clear: for many retail brands, Q4 is everything. Success is measured by performance between Black Friday and Christmas. But our RB Insights 2025 Holiday Shopping Report, powered by Particl data, reveals a far more nuanced reality.
The difference between success and failure lies in understanding your brand's specific holiday dependency, not in following generic peak-season tactics. Using Particl ’s SKU-level market data and RETAILBOSS (RB) insights, this report segments brands into four
holiday dependency archetypes and links those patterns to product strategy, gifting behavior, and category dynamics.
What Particl Data Powers Our Holiday Shopping Report Particl is an AI-powered retail intelligence platform that tracks competitor pricing, inventory movement, product performance, and demand signals across hundreds of thousands of brands and millions of SKUs globally.
In this report, Particl data is used to: Estimate 2024-2025 full-year revenue and the share captured in the holiday period (Q4 or November–December, depending on category). Map brands to a “holiday dependency” spectrum, from 80% of annual revenue originating in the holiday season.
Identify product-, price-, and category-level patterns behind best-sellers and underperformers, and how these shift during the gifting window versus the rest of the year. RB insights build on these quantitative findings to interpret the strategic implications for brand positioning, merchandising, and marketing in 2025…
