https://store-images.s-microsoft.com/image/apps.21243.98c49dcf-b249-4370-bd5b-ef9dcd0c7000.fd318bf5-e59c-49ae-aef2-65a7baed00a1.25880cab-41e2-499d-becc-d69eeac9bec2

pelatro-contact-me

PELATRO PLC

pelatro-contact-me

PELATRO PLC

Contextual Campaign Management Solution

Pelatro’s mViva Customer Engagement hub is designed to help organizations plan and execute highly personalized cross-channel campaigns and manage customer journeys seamlessly from one platform. The solution helps with improved consumer engagements, better ROI, and seamless data monetization for subscribers, retailers, and enterprise customers.

The company’s key strengths include deep domain expertise to assist telcos with data analysis and campaign design through big data capabilities enabled by AI and ML techniques and managed services. Our customer engagement hub help telcos to-

• Obtain a 360-degree view of each customer in real-time
• Engage with each customer across both traditional and digital channels
• Drive targeted, personalized, contextual and relevant campaigns
• Increase ARPU and create new revenue streams
• Improve loyalty thereby materially reducing churn
• Consolidate all communication with customers on a single platform
• Segment shatter/automatic segmentation using AI/ML models

https://store-images.s-microsoft.com/image/apps.17606.98c49dcf-b249-4370-bd5b-ef9dcd0c7000.fd318bf5-e59c-49ae-aef2-65a7baed00a1.f9cb7416-7257-4ded-94e0-3c2784a20336
https://store-images.s-microsoft.com/image/apps.17606.98c49dcf-b249-4370-bd5b-ef9dcd0c7000.fd318bf5-e59c-49ae-aef2-65a7baed00a1.f9cb7416-7257-4ded-94e0-3c2784a20336
https://store-images.s-microsoft.com/image/apps.17169.98c49dcf-b249-4370-bd5b-ef9dcd0c7000.fd318bf5-e59c-49ae-aef2-65a7baed00a1.3418a3e4-02e9-4b73-a90a-cf78e4db6f71
https://store-images.s-microsoft.com/image/apps.46100.98c49dcf-b249-4370-bd5b-ef9dcd0c7000.fd318bf5-e59c-49ae-aef2-65a7baed00a1.f2dfc8eb-77c7-46eb-b957-6789fc3e6078
https://store-images.s-microsoft.com/image/apps.19793.98c49dcf-b249-4370-bd5b-ef9dcd0c7000.fd318bf5-e59c-49ae-aef2-65a7baed00a1.2661b83b-7983-4bf5-b6e9-f8407d6120dc