PLUG IN INTELLIGENCE FOR QUICK RETURNS
Plug in machine learned intelligence to your existing customer engagement systems without disturbing the workflows using built in connectors. Once plugged in, the advanced analytics framework solution can access and analyze customer & transaction data from existing MarTech systems and enterprise data lakes. It can recommend next best strategy and next best offer for each customer with more accuracy.
DETERMINE NEXT BEST STRATEGY FOR EACH CUSTOMER
You don’t need to go through complex process of configuring multiple heuristic rule sets to determine the right course of marketing action for each customer while planning CVM campaigns. Advanced analytics framework offers machine learning models that will enable automated prioritization of strategy – up-sell or cross-sell or retention to be adopted for each customer. Algorithm-driven strategy formulation can balance at scale each individual customer’s usage behavior and needs as well as Telco’s business objective at any point of time.
EXTEND NEXT BEST OFFERS AT SCALE
You will never miss an up sell/ cross sell opportunity while you are engaging with customers over any channel - mobile or social media or bot. Empower yourself with machine learned decision making to extend right product or offer to customers at scale for maximizing up sell/cross sell and retention opportunities. The advanced analytics framework encompasses Offer-X, an intelligent decisioning engine that can guide marketers with automated recommendation of ‘next best product’ or ‘next best offer’ a customer is most likely to buy or take up thus maximizing conversions and uplift in revenue.
PROVEN ACROSS MARKETS, BUSINESS LINES AND CHANNELS
Save the time and effort in developing multiple analytics models for driving effectiveness of CVM campaigns different business lines and markets. Make use of proven and channel agonistic Advanced Analytics framework solution encompassing multiple packaged models that has helped Telcos to take effective decisions while planning and executing individualized CVM campaigns.
