Customer 360 journey summary
Customer data lives separately in the CRM, support, billing and marketing tools. Before each conversation, the agent opens several systems to piece together the customer's story, and decisions are made on a partial view of the journey.
The automated workflow
A structured process for fast, reliable results.
Connecting data sources
CRM, ticketing, billing, marketing automation and other systems holding customer data are integrated.
Aggregation and analysis
Interactions, transactions and events are consolidated into a single timeline, with the key moments highlighted.
Enriched customer profile
A summary profile is generated with a health score, detected preferences, points of attention and opportunities.
Real-time updates
The profile is refreshed with every new interaction, transaction or event detected.
Tangible results
Up and running in 4 to 6 weeks
From specification to deployment, with visible results from the first few weeks.
Frequently asked questions: Customer 360 journey summary
More workflows: Customer Service
Churn signal detection
A customer's departure is usually noticed at cancellation, once the decision has been made. Yet Bain & Company's work shows that a five-point rise in retention translates into a 25 to 95% increase in profit, and the warning signs, falling usage, repeated complaints, disengagement, are already in your data.
Automated after-sales follow-up
The weeks after a purchase decide the relationship, and that is precisely when follow-up slips for lack of time. Messages stay generic, reminders arrive at the wrong moment, and opportunities for loyalty or cross-selling are missed.
Customer support assistant
Repetitive questions about products, orders and services take up most of support teams' time. Response times lengthen, answer quality depends on the agent handling it, and customers compare with the responsiveness they find elsewhere.
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