Multi-channel attribution

Multi-channel attribution is a subset of marketing attribution. It’s a marketing measurement method that evaluates each channel’s impact on driving conversion.

What is attribution?

A conversion is attributed to individual clicks, ads, and factors along the user’s conversion path. Attributions have two models:

  • Rule-based attribution – Conversion credit is divided between the relevant touchpoints in rule-based models. Attribution can be single-touch or multi-touch.
  • Data-driven attribution – The goal is to determine how many conversions and visitor journeys contributed to a sale. Consequently, the resulting model can differ significantly from simple rules-based approaches.

What is multi-channel attribution?

Attribution helps us understand which touchpoints in the conversion path play a significant role. The point is to avoid uncertainty and credit the proper sources.

In multi-touch attribution, numerous touchpoints with a product or service are acknowledged before a decision is made to buy. Multi-channel attribution divides purchase credit among multiple touchpoints. While there are several models, each assigns a weight to the various touchpoints, giving various values to different engagement points. Multi-channel models inform how different channels impact conversions throughout the journey.

Here are the most common multi-channel attribution models:

  • Time decay: This gives credit based on the time between interactions. It credits each touchpoint, but the closer it is to a final transaction or achievement of a goal, the more credit it receives.
  • Position-based: This model credits particular steps on the conversion path, typically first and last. It attributes X% of credit to the first touch, Y% to the final touch, and Z% to all touchpoints.
  • Linear: A model that assigns equal credit across each step of the conversion path. Success is equally attributed to each referrer and visit. So three touchpoints – say Google Ads, Google organic search, and a direct visit – would see each touchpoint getting one-third of the credit before a conversion.

You may also like:

Google Analytics and multi-channel attribution Google Analytics alternatives – free and paid Piwik PRO vs. Universal Analytics & Google Analytics 4

  • Server-side tagging use cases: How can you benefit from data stream consolidation

    Data stream consolidation is one of the key features of server-side tagging. It involves taking one incoming data stream, such as GA4, Piwik PRO, Stape, or others, and distributing it to many outputs. Instead of sending the same event to different vendors – for example, when a customer adds an item to a cart –…

    Read more

  • Unlocking the potential of digital analytics in finance and banking

    Banks must ensure that their digital platforms are user-friendly, offering features like easy account management, instant transactions, integrated banking services in mobile apps, responsive customer service through chatbots or other digital tools, and more. Enhancing the overall digital experience can significantly reduce the likelihood of customers switching to competitors. 

    Read more