1. Historical Data as Your Secret Weapon

By aggregating information from previous Jordan releases in your spreadsheet, patterns emerge showing:

• Sizes with fastest sell-out times (typically 7-10 and 12-13)
• Release models generating highest bot activity
• Time delays between announced and actual drop times

2. Smart Task Distribution

Effective spreadsheet planning allows you to:

• Assign multiple acbuy accounts to different devices
• Distribute payment methods efficiently
• Track proxy server performance history
• Create alternative checkout pathways

3. Preparing for Various Scenarios

Your spreadsheet should serve as both project manager and playbook, with sections for:

The Human Element in Technical Strategy

While technology powers modern sneaker cop, experienced collectors emphasise these often overlooked yet critical aspects:

• Crust 2010 discovered focusing on less popular Jordan OG colorways actually produces more consistent results than chasing every hype release
• Coordinating with at least three trustworthy cop partners generates a 270% better success rate than solo attempts according to sneaker consortium data
• 92% of successful checkout attempts occur between 30-90 seconds after the initial drop when unsuccessful bot requests are recycled and inventory systems compensate

Evolving Your Approach

The platform continually adapts to combat automation, requiring responsive collectors who refine their techniques. Document these metrics in your spreadsheet:

• Checkout page element changes prior to drops
• New payment processing workflows
• Updated bot detection patterns