Have 1:1 conversations with millions of users and build lasting customer relationships. Recommend products that compliment their previous purchase or upsell with offers relevant to the plan they’re currently on, thereby increasing ROI from each customer and drive retention.
Haptik’s IVAs are designed to solve L1 & L2 queries and automatically route more complex requests to support agents based on their skillset and chat load. Avoid broken customer experiences, ensure a faster turn around, and enable support agents to spend time and effort on more difficult escalations.
Effectively communicate with users and tell them about new offers, prompt them to try new services, help them manage plans, and improve customer retention by staying in touch with your users across 40+ channels including Web, App, WhatsApp, Facebook and lots more.
"We are very happy to work with Haptik. The Samsung My Galaxy app offers a wide range of entertainment and daily life services where one app meets all user needs and is popular with our smartphone users."
Give your customers the support they expect on the communication channels that they prefer. Automate L1 & L2 queries and save 90% of customer care costs. Transform your customer experience while simultaneously diverting support traffic from expensive channels such as phone.
Automate the most common queries like bill information, plans, network issues on main phone support line, pre-collect customer information before passing the query to an agent and deflect queries to chat, reducing agent handle time and save millions of dollars in customer care costs, enabled by seamless integration of speech recognition and agent routing with all major IVR applications.
Make the first move to engage with your customers. Haptik IVAs help you upgrade your customer experiences from generic offers and form fills to more personalized and tailored engagement. Start building a pipeline of high-quality prospects, grow conversions with custom, data-driven recommendations, and optimize the entire customer journey.