Attribution Analysis posts
What Is DDA (Data-Driven Attribution)? How It Works and How to Use It
DDA (Data-Driven Attribution) is a model that analyzes multiple ad touchpoints with machine learning to calculate contribution. Learn how it works, how it differs from traditional models, its benefits, setup, and usage.
Shusaku Yosa
How to Build a Marketing Strategy | Driving Results with Frameworks and Data
Learn how to build a marketing strategy using proven frameworks including STP, 4P, 3C, SWOT, and the marketing funnel. Covers 5-step strategy design, KPI tree construction, data-driven decision-making, and continuous improvement cycles with practical SaaS insights.
Shusaku Yosa
Customer Journey Data: Collection and Visualization
Use search, analytics, CRM, and customer feedback to validate a journey map. Separate observed behavior from assumptions and choose meaningful visualizations.
Shusaku Yosa
Marketing Mix: The 4Ps and 4Cs with a Worked Example
Use the 4Ps and 4Cs to align product, pricing, buying experience, and communication. Includes a practical example, checks, and the distinction from MMM.
Shusaku Yosa
What Is MMM? A Beginner's Guide to Marketing Mix Modeling
Understand what MMM can tell you, how it differs from attribution, how to read its results, and what to prepare before investing in a modeling project.
Shusaku Yosa
Marketing Mix Modeling: Data, Models, and Validation
Plan an MMM project around a budget decision. Review data requirements, adstock, saturation, marginal returns, validation, and implementation choices.
Shusaku Yosa
8 Ad Measurement Tools Compared by Use Case
Compare eight tools for conversion measurement, ad data collection, and reporting. Review use cases, pricing caveats, integrations, and demo criteria.
Shusaku Yosa
Attribution Analysis: GA4 Models and Practical Steps
Learn how attribution assigns conversion credit, which GA4 models are available, and how to compare results without confusing credit with incremental impact.
Shusaku Yosa