The first step is to use the AcBuy spreadsheet function to scrape and track popular search terms used by buyers on the platform, such as "Ultraboost 22," "Gazelle," or "NMD_R1." Monitoring these keywords provides real-time insight into current market demand and emerging trends, allowing resellers to identify which models are gaining traction.

Step 2: Seasonal Demand Forecasting

Historical sales data shows clear seasonal patterns. For instance, demand for well-insulated and weather-proof sneakers typically increases by approximately 20% during the winter months. The AcBuy spreadsheet can be programmed to automatically factor in these seasonal adjustments. A formula might look like this:

=IF(SEASON="Winter", BASE_DEMAND*1.2, BASE_DEMAND)

This ensures procurement quantities are dynamically adjusted to avoid overstocking or missing out on peak sales opportunities.

Step 3: Geotargeted Advertising Analysis

Beyond timing, location is critical. The AcBuy spreadsheet can analyze sales data to reveal regional preferences. Perhaps the "Campus 00s" is particularly popular in Berlin, while "Samba" models have a stronghold in London. By understanding these geographic clusters, resellers can create highly targeted, cost-effective ad campaigns on social media platforms, ensuring the right products are marketed to the right audiences.

Conclusion: Automating for Efficiency and Profit