Attribution Modelling

We’re prepared for a digital landscape without cookies, and how campaigns, analysis and attribution modelling need to be adjusted in order for brands to succeed.

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What is attribution modelling?

Attribution modelling refers to the formula which demonstrates the impact each funnel stage has had in a conversion. While the ability to effectively attribute sales to certain campaigns has always been contentious, our shift to a cookieless environment will make attribution modelling even more difficult. In order to combat this, our approach relies on setting KPIs at each funnel stage to effectively understand the value each channel drives.

What does cookieless mean for brands?

Cookieless means campaigns will no longer be able to rely on website visits and other browser-based behaviours for retargeting campaigns and platforms to perform the way they used to. Instead, brands will need to use first party data and build customer profiles around that in order to effectively utilise customer behaviour in their retargeting efforts.

How this will impact reporting and analysis

Campaigns at different stages of the funnel each serve a specific purpose in nurturing users to conversion. Objectives align with the purpose of each funnel stage, so using one set of metrics (e.g. ROAS) is not the most effective way to analyse campaign performance.

Our approach involves setting funnel-stage-specific KPIs to assess the performance of each funnel stage:

  • At the top of the funnel, the objective is brand awareness. Success here should look primarily at metrics such as reach and impressions in order to determine the effectiveness of these campaigns.

  • At the middle of the funnel, campaigns look to drive consideration in users. Engagement with ads, websites, and other collateral gives a strong indication of whether campaigns are performing here, so we need to look at metrics such as clicks and time on site.

  • At the bottom of the funnel, we’re trying to convert. This is where brands should focus on ROAS, cost per purchase, revenue, profit, and other metrics which are directly related to a business’ financial performance.

These stages all culminate in driving real business results for a brand, the individual influence of which should form the basis of our attribution model. Understanding, collaborating on, and communicating their contribution to real business results is our core focus as a consultancy.

Our process, underpinned by technology​.

Data
Strategy
Delivery
Reporting

Quantitative analysis

Through our proprietary AI technology, Gamma, we analyse big data sets in real time​.

Qualitative approach​

We work collaboratively with clients on an ongoing basis to extract insights relevant to their business challenges​.

Gamma is the dedicated innovation lab of G Squared, comprising of a select team of consultants and engineers who collaborate with clients to craft purpose-built AI tools.

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