Home > Multi-Channel Attribution Analysis with CSSBUY Links & Smart Budget Allocation

Multi-Channel Attribution Analysis with CSSBUY Links & Smart Budget Allocation

2025-07-14
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In the competitive shopping agent marketingmulti-touch attribution modelCSSBUY spreadsheet system

Implementing Markov Chains for Channel Contribution

The CSSBUY attribution framework applied Markov chain modeling to track 2,671 customer journeys over 90 days. Key findings included:

  • 35.4% conversion influence
  • 22.1% contribution from Instagram retargeting ads
  • Only 8.7% conversion weight from standalone email campaigns
CSSBUY Markov chain channel attribution visualization
Fig1. Conversion paths weighted by channel contribution

Budget Reallocation Yields 41% Lower CAC

Based on the CSSBUY spreadsheet analysis:

Channel Pre-Optimization Budget Post-Optimization Budget CPS Change
KOL Videos 28% 53% ↓38%
Instagram Ads 53% 34% ↓7%
Email Campaigns 19% 13% ↑12%

The redistribution achieved a 28-day customer acquisition cost (CAC)

Strategic Implications for Shopping Agents

This analysis confirms that CSSBUY's tracking methodology

  1. Identify undervalued touchpoints in cross-border shopping journeys
  2. Adjust real-time bidding strategies based on weighted contributions
  3. Optimize creative assets for high-performing channels

Future testing will incorporate TikTok influencer collaborations & Augmented Reality fitting rooms into the attribution matrix.

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