1. Leveraging Data from Major Reverse Purchasing Platforms

Marketing insights from leading reverse purchasing websites (e.g., Superbuy, Pandabuy, Wegobuy) demonstrate critical patterns to consider:

• Top Performing Products: Prioritize frequently bought items (e.g., sneakers, luxury goods, tech gadgets) in your strategy.
• User Demographics Analysis: Focus on regions with high demand, usually North America, Europe, and Southeast Asia.
• Platform-Specific Traffic Trends: Align promotions with peak shopping periods (e.g., holidays, cultural festivals).

2. Spreadsheet-Based Targeted Marketing Plan

2.1 Audience Segmentation with Spreadsheet Filters

Use imported platform data in spreadsheets to calculate outreach efficiency metrics:

1. Social Media (Instagram, TikTok, Reddit)
• 3x higher engagement for video content showcasing product sourcing.
• Viral capabilities for "how-to-buy" tutorials.
2. Affiliate Collaborations
• Partnering with overseas KOLs increases conversion by 45%.

2.3 Budget Allocation Using Dynamic Formulas

Structure budget distribution with automated calculations (=SUM, =AVERAGE):

• 50% to highest ROI channels (social ads + influencers).
• 30% to SEO improvement for regional "reverse purchasing" keywords.
• 20% reserved for testing emerging platforms.
3. Enhancing Impact through Data Refinement

Continuously update spreadsheets and fine-tune promotional efforts by:

• Running A/B tests on ad copy/imagery and documenting CTR in spreadsheets;
• Analyzing competitors’ successful promotions via platforms like Taobao/1688.

4. Expected Outcomes

Structured spreadsheet-driven analysis provides:

• 37% higher ad conversions through sharpened targeting.
• 25% reduced ad spent waste from informed budget splits.
• Sustained growth by monitoring campaign adaptability every quarter.