Understand your customers - this is the first step to personalising their experience. Datatonic’s own predictive customer analytics platform empowers you to implement AI+ML and personalise at scale, helping to drive conversions, maximise loyalty and increase customer lifetime value.
From their propensity to buy particular products to lifetime value estimations, accurate customer predictions require powerful AI models. Our platform solution provides the information you need to optimise your customer experience at every touchpoint and drive multi-channel uplift.Find out more
Conduct A/B tests with confidence to maximise marketing ROI using propensity-score-powered product recommendations.
Gain a detailed understanding of your customer behaviour to optimise and improve business operations.
Empower users across multiple teams to gain and utilise valuable customer insights.
Create actionable insights within 24 hours using our purpose-built models for retail.
We created this platform to provide a faster, easier, more cost-effective out-of-the-box solution that empowers retailers to implement AI+ML at scale without blowing the budget. It works in three simple steps:
The platform unlocks the value of your data to help you truly understand your customers.
By consolidating and analysing historical transactional data, browsing data and customer information, it provides a thorough analysis to empower your decisions. Data from multiple sources is optimised for analysis, ready to power predictive ML models.
Customise our pre-built models, specifically designed for retailers, to create personalised predictions for each customer.
+ Generate propensity scores for any combination of attributes to understand each customer’s likelihood to purchase.
+ Build customer lifetime value forecasts to help maximise and reward loyalty.
+ Predict your customers’ next purchase date to reduce churn and gain valuable merchandising insights.
Output your customer scores, create audiences or lists with ease and add rules-based or AI+ML based segmentation. Make relevant, personalised recommendations available for your website in real-time, or integrate with your existing martech stack to create personalised campaigns. Our team work with you closely to measure uplift and help maximise your ROI.
We are the 3X Google Cloud Partner of the Year for a reason. Our platform is built on the experience of delivering exceptional results for multiple retail clients.
Iconic luxury brand Mulberry generated +110% uplift in return on ad spend using personalised product recommendations.
Knowledge sharing is core to Datatonic’s DNA. Browse through our on-demand videos, guides and technical blogs for more insights.Our Insights
Not sure how to start your customer personalisation journey? With our jumpstart approach, we understand the value that AI + ML implementation can bring to your business with a tailored list of use cases and a proof-of-concept trial, deliverable in four weeks.Get a jumpstart
We learn your key pain points and objectives plus metrics to measure success in solving them. We’ll also determine how our platform can enhance your existing tech stack.
We understand the most powerful use cases for your business and create a plan for a free trial activation.
We review the performance of your trial and agree any iterations that would drive further uplift for your business. Our platform is at an early stage so this is a two-way process.
Know exactly where and how to start your AI journey with Datatonic’s
three-week AI Innovation Jumpstart *.
* Duration dependent on data complexity and use case chosen for POC model
With your own data sets, convince your business of the value of migrating your data warehouse, data lake and/or streaming platform to the cloud in four weeks.
With your own data, see how Looker can modernise your BI needs
with Datatonic’s two-week Showcase.
If you are a retail business and want to better understand your customers to provide them with personalised content and recommendations, get in touch to discuss a free trial to jumpstart your personalisation journey in four weeks.