Home > How Orientdig Link's Multi-Channel Attribution Model Optimizes Budget Allocation with Markov Chains

How Orientdig Link's Multi-Channel Attribution Model Optimizes Budget Allocation with Markov Chains

2025-07-29

In the evolving landscape of digital marketing, Orientdig Link

"Our Markov analysis showed unboxing videos from influencers drove 42% of high-value customers, fundamentally changing our budget priorities," noted the Orientdig analytics team.

From Insights to Action: The Video-First Pivot

  • Reallocated 68% of Orientdig Link's budget to video platforms
  • Reduced cost-per-acquisition by 58%$6.5
  • Achieved 1:8.3 ROI

The Markov chain model dynamically mapped customer journeys across 11 touchpoints, quantifying each channel's true contribution beyond last-click attribution. This revealed:

ChannelAssisted ConversionsConversion Value
Fashion Unboxing Videos42%$218 avg.
Influencer Stories27%$184 avg.
Shopping Apps19%$152 avg.

Implementing Orientdig's Smart Allocation Model

The spreadsheet system automates three critical functions:

  1. Path Analysis:
  2. Value Forecasting:
  3. Auto-Balancing:

By combining algorithmic attribution with flexible budget controls spread through the Orientdig platform, marketers gain scientific budget allocation backed by probabilistic modeling specifically made for medium-to-enteprise sellers..

Performance Lift After 90 Days

+220%

1.9x


This data-driven approach proves that blending multi-touch attribution with responsive budget allocation creates measurable advantages - particularly for DTC brands using fashion unboxing video content as part part of their Top-Funnel Strategy. To experience this transformative combo Marketers can learn it by basing parameters on the company's specialist Link integration Programs.

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