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Automating 79% of retail customer chats and fan convos for the Dutch Grand Prix - Lessons for Indian businesses

Understanding customers at an individual level has become very important for Indian brands, including SMBs. But handling millions of customer interactions is a Herculean task, which explains why so many brands report low customer satisfaction and retention rates. Thankfully, with CM customized agentic AI solutions, you can personally engage with your customers and retain them. 

That's exactly what some of our global clients achieved using scalable Customer Data Platform software, and Indian businesses can replicate this too. Let's look at these trendsetting case studies closely.

Managing Fan Engagement for the Dutch Grand Prix

Teun Verheij, Head of Marketing Communications, used this AI-powered Customer Data Platform to combine fan data into a comprehensive profile. By integrating messaging behavior, web interactions, and app usage, the team successfully delivered targeted, relevant messages to fans. 

With cross-channel customer messaging through WhatsApp, email, and SMS, the brand created seamless, personalized communication, enhancing fan engagement and satisfaction.

Indian sports leagues, e-sports organizers, or event brands can use the same strategy to consolidate attendee and fan data, segment audiences, and obtain the benefits. They can offer users an omnichannel customer engagement platform in India and use automated campaigns. This way, such brands can offer fans highly relevant updates, notifications, and engagement touchpoints.

Lucardi Makes Thousands of Customers Feel Seen with 79% Chat Automation

Lucardi, a retail brand, leveraged this conversational AI-based Customer Data Platform to automate a large section of its customer interactions. By implementing the AI assistant, it was able to automate 79% of customer chats. This way, the team could focus on complex inquiries better.

This approach helped quicken their response timing and messaging consistently. It visibly improved the overall customer journey. Lucardi successfully offered users personalized interactions across digital channels like WhatsApp, email, and SMS. This example proves the importance of a capable customer engagement automation platform.

Indian SMBs and enterprises can follow a similar approach, too. They can use a customized and conversational AI-powered WhatsApp customer engagement software in India, and automate routine inquiries, personalize messaging, and enhance engagement. Indian Retailers, e-commerce brands, or service-based businesses can enhance overall efficiency.

Personalized Ecom Experience Compounds Customer Satisfaction

Iain Starkey, Marketing Manager, utilized real-time segmentation to create targeted campaigns for segmented customers. By using the AI customer engagement platform, this brand automated lifecycle campaigns, optimized messaging, and measured ROI in real time. They delivered relevant messages through optimal channels.

Indian e-commerce, hospitality, and edtech players can similarly benefit by using customized WhatsApp marketing solutions.  Personalized WhatsApp marketing campaigns ensure customers receive context-aware, timely promotions that help enhance conversions. 

Agentic AI Solutions for Businesses- The Indian Potential 

Agentic-AI powered Customer Data Platform offers several tangible benefits to Indian brands, like:

  • AI-Powered Recommendations to guide the appropriate action for each customer.

  • Unified Customer Profiles offering a 360° view by integrating web, app, and messaging data.

  • Analytics and Insights through dashboards to track performance, measure ROI, and refine segmentation.

  • Omnichannel Messaging to manage cross-channel campaigns smoothly.

  • Automation to streamline lifecycle campaigns and personalisation.

One thing these case studies highlight is how AI-driven customer engagement platforms can reduce support load while improving personalization. 

Check: https://www.cm.com/en-in/customer-data-platform/


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CM India-Customer Engagement Platform in India