Eliminate inefficient marketing spend and maximise lifetime value with causal machine learning
Faculty’s causal marketing suite uses a new type of machine learning to isolate and target only the customers most likely to be influenced by each marketing intervention.
The impact? A 15-25% improvement in marketing ROI and a better, more personal experience for your customers.
How it works
Using the latest advances in causal machine learning methods, we help fashion retailers target marketing spend precisely, based on incrementality – not clicks or impressions.
1. Run controlled experimentsThrough rigorous marketing experimentation, we help you build up a powerful first-party data asset on how your marketing interventions truly influence your customers.
2. Understand causal linksUnpick correlation from causation by using a new class of causal machine learning models to measure the incremental impact of each activation.
3. Target for impactIdentify the customers most likely to engage with each marketing intervention, rather than over-targeting frequent purchasers or high value customers.
4. Connect your organisationPreformatted and custom reports provide consistent, real-time views of the ROI of every campaign – from the activation team to the boardroom.
Customised to suit your needs
Your relationship with your customers is unique, so our causal marketing suite isn’t a one-size-fits-all solution.
Rather than force your processes into an off-the-shelf tool, we customise and integrate our technology into your campaign workflow and tech stack. This means faster time to value and a more productive marketing team.
And because it’s built by Faculty, on top of Faculty Platform, every aspect of the causal marketing suite is infinitely scalable, reliable and safe.
How we deliver
We run executive briefing and planning sessions with your marketing teams to show how our causal marketing suite works. We’ll then demonstrate how the system performs on a sample of your data.
We connect our causal marketing suite to live data feeds and build integrations with your tech stack and marketing processes. We work hands-on with your team to run live test campaigns that demonstrate real-world ROI.
6 months +
We incorporate continuous feedback to improve the performance of the models and drive better long-term return on investment.