Summary
Researched multi-touch attribution modeling approaches for understanding how different marketing channels contribute to conversions. The study compared last-click, first-click, linear, time-decay, and data-driven attribution models — analyzing their strengths, limitations, and practical applications for small-to-mid-size marketing budgets.
Methodology
Comparative analysis of attribution methodologies based on published research, platform documentation (Google Analytics, Meta Ads Manager), and industry case studies. Each model was evaluated against practical criteria: implementation complexity, data requirements, and actionability of insights.
Key Findings
- Last-click attribution systematically undervalues upper-funnel channels (content, display, social) by 40-60% compared to multi-touch models.
- Time-decay attribution offers the best balance of accuracy and implementation complexity for mid-size marketing teams.
- Data-driven attribution requires significant data volume (500+ conversions/month) to produce reliable results — below this threshold, rule-based models are more practical.
- The choice of attribution model should align with business objectives: lead generation vs. e-commerce vs. brand awareness each have different optimal models.