Data

The position based attribution model, sometimes called U-shaped attribution, splits conversion credit between the first and last touchpoints in a customer experience, typically assigning 40% to each, with the remaining 20% distributed across any interactions in between. It was designed to acknowledge that both acquisition and conversion moments matter, which puts it ahead of last-click…

Attribution models are frameworks that assign credit for a conversion across the marketing touchpoints a customer encountered before converting. The model you choose determines which channels look effective, which get defunded, and, in many cases, which version of reality your business is making decisions from. There are six common attribution models in widespread use: first-touch,…

Marketing mix modeling (MMM) has moved from a tool used by a handful of large consumer goods companies to something most serious marketing teams are actively evaluating or rebuilding. The shift is being driven by the collapse of reliable cookie-based attribution, growing pressure to justify spend across channels, and the arrival of faster, more accessible…

An algorithmic attribution model uses machine learning to assign conversion credit across touchpoints based on observed patterns in your data, rather than applying a fixed rule like last click or linear. Instead of splitting credit evenly or giving it all to the final interaction, the model calculates how much each channel, campaign, or ad contributed…

The linear attribution model divides conversion credit equally across every touchpoint in a customer experience. If a customer saw a display ad, clicked a paid search result, opened an email, and then converted through organic search, each of those four interactions receives 25% of the credit. It is one of the simplest multi-touch models available,…

First click attribution gives all the credit for a conversion to the channel that started the experience. Last click attribution gives all the credit to the channel that ended it. Both models are simple, both are widely used, and both will systematically mislead you about where your marketing is actually working. The question is not…

Marketing attribution is the process of assigning credit for a conversion to one or more touchpoints in a customer’s path to purchase. The model you choose determines which channels look effective, which look wasteful, and where budget flows next. That makes it one of the most commercially consequential decisions in your measurement stack, and one…

Multichannel analytics is the practice of measuring marketing performance across every channel a customer touches before converting, from paid search and social to email, organic, and direct. Done well, it gives you a coherent picture of how your marketing actually works together. Done poorly, which is how most businesses do it, it gives you a…