Step 2: In-depth Analysis of Sales and Trends

For the pre-screened products, further examine their sales revenue and trends. The priority is to eliminate links that show a sudden spike in sales on a single day (which may indicate "brushing" or fake orders) and instead select products that demonstrate consistent, stable growth or maintain high sales volume. This step typically filters out 60% of the noise, leaving the remaining products for a deep evaluation.

DianLeida suggests: Use the product analysis tool to examine sales revenue over the last 30 days, as well as trend charts spanning the past six months or a year. This provides a visual comparison of daily sales fluctuations to identify any abnormal volatility. Additionally, it is best to perform a review analysis to verify the product's actual performance while extracting key selling points to create a competitive, differentiated advantage.

Step 3: Final Judgment and Locking in High-Potential Products

After the first two rounds of filtering, we typically conduct a multi-dimensional data review. You cannot rely on a single metric—high sales volume alone doesn't necessarily mean a product is a winner. Only when both sales volume and trend consistency meet our criteria will a product be prioritized. We then perform a comprehensive potential assessment on the remaining items, usually narrowing the final selection down to 10–20 products.

DianLeida suggests: When analyzing product data, focus on core indicators such as transaction count, sales revenue, and repurchase rates. Prioritize high-quality items with strong sales and sustained growth trends. Additionally, use the cross-platform image search feature to check the number of identical items on the market. By combining this with the listing date, you can gauge the level of competition and quickly distinguish between new arrivals, high-potential "sleepers," and simple market-following products.