Home > How Yessheet Link Multi-Channel Attribution Optimizes Budget Allocation with Markov Chain Models

How Yessheet Link Multi-Channel Attribution Optimizes Budget Allocation with Markov Chain Models

2025-06-11

In today's competitive digital landscape, marketers are constantly seeking ways to optimize their advertising budgets. Yessheet Link's advanced multi-channel attribution

Scientific Attribution Through Markov Chains

Traditional last-click attribution often fails to recognize the full customer journey. Yessheet's proprietary Markov chain model revealed surprising insights for one fashion e-commerce client:

  • Outfit bloggers' unboxing videos drove 38% of premium-quality customers
  • Influencer Stories showed strong early-funnel impact but lower conversion
  • Paid search played a secondary converter role

The probabilistic model maps all possible customer path permutations, weighing each channel's true contribution beyond surface-level metrics.

Strategic Budget Reallocation

Based on these findings, the client shifted budget allocations through Yessheet's dashboard:

MetricBeforeAfter Adjustment
Video Content Investment28%52%
Cost Per Acquisition$11.20$6.80
Campaign ROI1:5.31:8.5
Channel performance comparison graph

Continuous Optimization with Lifecycle Tracking

Beyond initial attribution, Yessheet's Spreadsheet Model monitors content fatigue across:

  • View-through rates over 14/30/60 day windows
  • Creative repetition frequency per user
  • Demographic engagement drop-offs

This enables real-time identification of underperforming placements, allowing marketers to eliminate wasted ad spend before traditional KPIs show decline.

By combining scientific attribution with adaptive budget management, Yessheet users maintain peak campaign efficiency automatically - no manual pivot tables required.

Discover how your organization can implement these models: Visit Yessheet.net for a free channel analysis

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