Artificial Intelligence Marketing

Powered by our AI engine, Raman, our platform takes the guess work out of your multi-channel marketing campaigns. Insights from real-time user level data feed into predictive models that decide the mix of channels that always deliver ROI.

Send-Time Optimisation

Identify the best time to send your communication through any channel, based on a detailed analysis of historical responses. Also monitor real-time responses to record and update any change in customer behaviour.


Subject Line/Notification Title Optimisation

Hyper-personalise your email subject lines or browser push notification titles, based on the customer’s historical data on open and click rates. With optimised titles/subject lines, your campaigns stand a much better chance of conversion success.

Campaign Content Optimisation

Your customers’ transactional history and browsing patterns are uniquely correlated to their individual conversion journeys.
AI can help you understand both by analysing data in real time so that you know what content is most likely to strike a chord with individual customers.

Preferred Channel

Preferred Channel

Based on the insights derived from your users historical responses and interactions, you can now identify the engagement channel your users are most active on. Connect with them through their most preferred channel of communication, and achieve your conversion goals.

Smart Segments

Now harness the power of Machine Learning to achieve laser-focused user segmentation. Based on the analysis of pre-defined segments and your users' activity data, you can create segments that cater to specific user activities like past purchases, page browse history, demographic details, etc.

Smart Segments
Churn Prediction

Churn Prediction

Leverage your users' app engagement data to identify specific user segments that are most likely to churn. Craft and deliver customised win-back campaigns to these users to re-engage and bring them back to your app. Customer acquisition is costlier than retention, after all!