Home > Using ACBUY Spreadsheet Analytics to Refine Prada Reseller Client Targeting

Using ACBUY Spreadsheet Analytics to Refine Prada Reseller Client Targeting

2025-06-18

Unlocking Client Insights from ACBUY Data

Our analysis of ACBUY's Prada resale client spreadsheet

ACBUY client demographics breakdown
Client age/gender distribution from ACBUY dataset

Actionable Pattern Recognition

Product Expansion Opportunity

With 25-35F converting at 22% higher CLV than other segments, we recommend:

  1. Increasing women's seasonal accessories inventory by 35%
  2. Adding size-friendly categories (petite handbags, slim belts)
  3. Creating Millennial-focused capsule collections

Checkout Process Improvements

Payment method analytics uncovered:

Payment Type Usage Rate Avg. Order Value
AliPay/WeChat Pay 73% $678
Credit Cards 18% $921
Bank Transfer 9% $1,245

Recommendation:

Implementation Benefits

Applying these findings from ACBUY's platform

"Early tests of the accessories expansion generated 17% higher GMV among target females, with mobile payment conversions up by 9.2 percentage points since streamlining."
- ACBUY Operations Team
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