Agile vs Attribution Modeling

The methodology that turned 'we'll figure it out later' into a formal process, often with more meetings than code meets the marketing world's attempt to make sense of chaos. Here's our take.

Agile

Nice Pick

The methodology that turned 'we'll figure it out later' into a formal process, often with more meetings than code.

Pros

• Promotes flexibility and rapid adaptation to change
• Encourages continuous customer feedback and collaboration
• Delivers working software in small, manageable increments
• Reduces risk by allowing frequent reassessment and course correction

Cons

• Can devolve into endless meetings and documentation without strict discipline
• Often misapplied as an excuse for poor planning or scope creep

Attribution Modeling

The marketing world's attempt to make sense of chaos. Because guessing which ad made the sale is so last decade.

Pros

• Provides data-driven insights to optimize marketing spend across channels
• Helps identify high-performing touchpoints in complex customer journeys
• Supports strategic decision-making with multi-touch analysis

Cons

• Models can be overly simplistic and fail to capture real-world complexity
• Requires clean, integrated data sources which are often a pain to maintain

The Verdict

These tools serve different purposes. Agile is a development methodologies while Attribution Modeling is a ai assistants. We picked Agile based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Agile wins

Based on overall popularity. Agile is more widely used, but Attribution Modeling excels in its own space.