Harness Flytxt’s AI/ML powered cloud service to gain accurate customer behavioral insights like churn and win-back propensity scores to plan and design highly effective retention campaigns. These models have undergone hundreds of training cycles with retention campaign data compiled from Flytxt’s decade long experience working with clients from different markets.
Determine the prioritized set of ‘Next Best Offers’ using our AI Accelerator solution that can maximize upsell/cross-sell opportunities with each customer. It can continuously analyze historical usage patterns and real-time usage and purchase contexts to deliver personalized offer recommendations via APIs, which can be then used by your marketing and commerce platforms to extend them on different channels and touchpoints.
Equip customer care agents to respond to offer enquiries in quick time by proactively displaying the prioritized set of offers for each customer on the agent screen as and when a customer calls. Our clients have leveraged this solution to improve conversions by 2X at customer care centers and also to reduce offer response time by more than 80%.
Timely action is critical to retain your customers. Make use of our AI Accelerator solution to identify high churn risk customers and alert customer service agents on CRM screen so that they take appropriate action like routing calls to retention experts or extending special offers to mitigate churn risk.
Equip your virtual sales agents or chatbots on marketing, commerce and customer service touchpoints with necessary customer intelligence and real-time interaction contexts. This will help virtual agents to engage with customers in a human-like way and guide them with right offers to influence their journey and maximize upsell/cross-sell opportunities.
Leverage Autonomous AI to instantly weed out low-performing campaigns and offers based on their performance against your business goals and guide marketers with new campaign/offer designs to optimize performance like conversions, open/click rate, etc.
Optimize the coverage, revenue, margins, and competitiveness of your product portfolio/offer catalogs using machine-learned insights at product or offer level on sales volume, price points, margins, etc.
Make use of AI-curated smart tags that reflect each customer's observed usage and purchase patterns to perform dynamic personalization for advanced segmentation and campaign planning.