As business leaders and marketers, your search has been for a true and sharp 'picture' of a customer's mindset, her preferences, decision making behavior and interests.
Getting such a picture requires data scientists to process, not only historical customer data from operations and customer-facing applications, but also from trail click streams and social media big data.
Traditional business analytics and business intelligence solutions are just not up to this task.
To deliver such insights, data scientists or technologists would have to become prodigies at math, statistics, information technology, business process and marketing.
It would seem that business leaders and marketers had been asking for the moon.
COMSENSE'S AI based Strategic Customer Engagement Solution is a path-breaking solution that brings together the power of data science, technology and business, to deliver powerful predictive insights and customer analytics.
Customers' Attitudes, Motivators, Preferences, Mindsets, Sensitivities And Journey
Identify And Target Right Audience With Highest Lifetime Value Potential; Personalize Offers And Campaigns
Drive Targeted Customer Centric Strategies. Acquire New Customers And New Revenue Streams. Build Brand Loyalty.
It is built on a closed loop, an integrated data-decision-campaign framework and a revolutionary 'deep machine learning' cognitive marketing technology.
The framework has the potential to transform business, its customer data ecosystems, customer data strategy and customer-centric marketing strategy.
Between business leaders, marketers and data scientists, it generates a common agenda and objective, a shared understanding of the goals and direction and a combination of efforts and contributions.
It boots not only the businesses capability for insight into the customer journey but also to take decisions and actions based on ‘truth’.
Essentially a strategic solution, it however, allows businesses to start small and ease slowly into a transformative business journey. Campaign Automation is good place for businesses to start, to help you understand the process, mine and cleanse your data, understand your existing customer data and customers better, whilst acquiring new data that is actionable.
MINING mountains of attitudinal, interactional and behavioural data generated by customers across multiple streams, channels, operational and transactional applications and touch points and campaigns to give it a usable shape and create a single view of the customer.
ANALYZING using sophisticated statistical & predictive modelling and analytical algorithms to deliver different predictive insights and analytics such as customer churn, customer life time value, product affinity, brand engagement, price sensitivity and up/cross sell potential. Presenting these insights as attractive dashboard visualizations for swift decision-making.
RECOMMENDING what products and prices would interest the customer, generating suggestions about personalizing offers, making campaigns that connect with them and deliver experiences that build loyalty.
AUTOMATING and executing customer-centric campaigns, delivering personalized offers and customer experiences and interactions through customer- facing applications and data points e.g. chat, call center communications, social media, mobile apps, web content, and SMS.
LEARNING from the past and becoming better at recommendations, predictions and advisory through deep machine learning and cognitive technology.