Data-Driven Attribution: What It Is and How the Data Attribution Model Works
Data-Driven Attribution (DDA) is an attribution model that uses real data on user behavior.
It analyzes the customer journey across the entire funnel and distributes conversion value across all touchpoints based on statistics, not assumptions.
Drawbacks of the DDA Model:
- Requires correct, complete, and clean data.
- "Local maximum" limitation: The model may stop growing due to lack of new data.
- Past data may not always be suitable for assessing a new audience.
Marketing terms in simple language.
SMM Team marketer glossary.
Modern marketing evolves so fast that it's impossible to know all terms and abbreviations. And it's not necessary. We've collected in one glossary concepts from digital marketing, SMM, analytics, advertising, automation, as well as from related fields — design, content and production.
Use search if you know the exact spelling of a term, or choose the letter you need to quickly find the meaning. Each term is explained simply and clearly — so that not only a specialist, but also a beginner taking their first steps in marketing can understand.
The SMM Team glossary will help you navigate tools, metrics and processes that every marketer and SMM specialist encounters faster. Share the page with colleagues, team or students — together we'll make the marketing environment clearer and more accessible.