Identify customers with higher propensity to churn and place them in “save” campaigns
Reduce customer churn with recency, frequency, monetary value (RFM) and deal escalation journeys. Use correctly timed offers to reduce churn rate and re-engage customers at the right time.
How Treasure Data CDP helps:
Generate dynamic RFM scores for each customer
Identify customers who are likely to churn using RFM
Active audience segments across optimal channels and escalate deals and offers until customer re-engages
Identify inactive customers or those stuck at a certain point in the customer journey. These profiles can be re-engaged through highly targeted win-back campaigns.
How Treasure Data CDP helps:
Leverage likely to churn models to identify at-risk customers for proactive reachout
Understand the reason(s) why they are churn risks
Orchestrate winback journeys across website, app, email, SMS, contact center, and paid media to retain customers
Personalized customer service experiences for churn prevention
Reduce likelihood to churn by routing customers to agent teams based on churn propensity, lifetime value, or a combination of customer attributes.
How Treasure Data CDP helps:
Captures and unifies customer data (online and offline, batch and real time) to help route requests to the optimal contact center agents
Enables agents to proactively respond to customer needs based on their full profile, previous digital and in-person interactions, and other customer insights
Surfaces next-best product recommendations for agents to help increase cross-sell and upsell opportunities
Nurture customers with journey orchestration for churn reduction
Implement a variety of customer nurture journeys in between purchases, based on educational information, product updates, etc. Build customer relationships and reduce churn rate by delivering consistent, connected experiences.
How Treasure Data helps:
A no-code customer journey orchestration platform integrated with our CDP that brings real-time decisions and triggers together with batch campaigns into a unified UI for more intelligent journeys
Plan multi-step, cross-channel, cross-departmental journeys personalized for various customer segments
Identify new opportunities for future journeys based on customer interests, preferences, and behaviors
