Multi-Channel Attribution: A Complete Guide About Models In 2023

Multi-channel attribution identifies the marketing channels contributing to conversion at a certain point in a customer’s journey.

Every step of the sales funnel requires attention to push leads toward sales conversions. Multi-channel attribution is instrumental in providing value to the customer at every step of the sales funnel, optimizing their experience.

A multi-attribution approach allows businesses to better deploy their marketing budgets in response to what has shown to have the greatest impact on their customers.

Benefits Of Multi-Channel Attribution

With the help of multi-channel attribution, you can give weight to different stages of the buyer’s journey and make more informed decisions about optimizing your conversion strategy. If customers visit your Facebook page three times before converting but just once on Instagram, you’ll know that Facebook is where they’re doing the bulk of their brand research.

Google Analytics Multi-Channel Attribution

Most businesses use Google Analytics to keep tabs on their multi-channel attribution data. Among the several attribution models available from Google are:

• Last Interaction: Conversion value model based on the customer’s last touchpoint with your company.

• Last Non-Direct Click: The last non-direct click model gives full credit for a conversion to the last channel used, regardless of whether or not that channel was used during the session.

• Last Google Ads Click: A model that places a premium on the last Google ad a user interacted with before making a purchase.

• Linear: Each customer interaction point with your company on the way to conversion is weighted the same under the linear model.

• Time Decay: Time decay is a model that rewards the sites of contact geographically closest to the conversion point.