According to Oracle’s Executive survey, 80% of leading consumer-facing businesses have already used or are planning to use chatbots by 2020. Chatbots are scalable and cost almost nothing in operation as compared to their human counterparts. But, how practical is chatbot adoption for your business? Let’s see.

5 Key Success Metrics for Chatbots

Different industries can utilize chatbots to serve different purposes. Accordingly, the parameters to measure ROI may vary. For instance, marketers may consider lead generation as a criterion while the sales department takes conversions from chatbots into account. But, of course, the decision to opt for chatbots depends on specific quantifiable measures — to solve specific customer support processes.

#1 NLP Maturity

It is the average maturity level of Natural Language Processing capability of bots, measured by the way bot interacts. Initiating conversations with customers is a key focus area among organizations these days. To achieve this, bots have to be well trained in industry-specific jargon.

For instance, if a retail customer has a question about a brand’s return policy, the bot should be able to meaningfully understand the user’s query and provide relevant information as it relates to that specific question, as opposed to an information dump or worse yet failing to understand the query itself. If a bot is unable to process the user input, it contributes to ‘miss-messages’. Such instances occur when the user inputs query in a regional or idiomatic language.

#2 Response Time

It is the average time taken for the chatbot to respond to customer queries, based on the total number of messages sent by a chatbot during an interaction. Typically this can average around 5-6 seconds. However, research indicates that users will leave a site if key elements take more than 3 seconds to load.

#3 Intent Prediction

It is the ability of the bot to anticipate what a customer wants in real-time. To achieve this, the bot must be paired with multiple sources of data and AI capable — in order to combine user behaviour, transactions, and profile details. Using this, the bot can determine intent based on both aggregated interactions for known and unknown users, and personalized data pulled from back-end systems.

#4 Retention Rate

It defines the number of users who willingly return to using the chatbot to address their issues. The retention rate varies according to industries. However, the clear formula for increasing user retention is to equip chatbots with the ability to understand user queries and empathically respond to them. This metric is directly correlated with the ability to personalize sales and/or customer service greetings, in 1:1 messaging.

#5 Goal Completion and Fall-back Rate

The number of times a chatbot can resolve the query, manage ticket, generates leads, or results in conversion determines its goal completion rate. However, like humans, bots, at times, might not be handle queries on their own. Such instances account for the fall-back rate of the bots.

Here’s an insightful read on why businesses should consider chatbots.

Successful Chatbot Adoption Across Businesses

Providing 24×7 support is not impossible for any organization. But, the labour cost associated is high, which makes chatbots a viable solution for instant customer support. IBM reports that globally businesses spend over $1.3 trillion/year to handle roughly 265 billion customer calls.

The following are examples of chatbots adoption for cost savings.

#Messenger Marketing Bot

ManyChat provides bot platform on Facebook Messenger for marketing, e-commerce, and support. DigitalMarketer incorporated ManyChat’s bot for messenger marketing and have reported very high returns on their ad spend (nearly 500% ROI).

#Insurance Chatbot

Religare has incorporated chatbot on its website and WhatsApp to handle customer queries. It has resulted in 10 times more customer interaction and 5 times more sales conversion.

Here are more insurance chatbot use cases.

#B2C Chatbot Offering Personalization

1-800-Flowers is using IBM Watson’s Gwyn smart virtual shopping assistant. It interacts with customers to understand their gift preferences and accordingly help them select a personalized gift for their loved ones. More than 70% of 1-800-Flowers customers are happily ordering through Gwyn bot.

Here’s a sample Chatbot ROI calculation from a financial perspective.

The Future of Chatbots

CNBC reports, currently businesses are saving $20 million per year globally through chatbot adoption. By 2022, chatbots can cut operational costs by more than $8 billion per year. Also, researchers predict that by 2025, bots will accomplish about 90% of the B2C interactions. Looking at the reduction in cost and ease of operation, investing in chatbots is worth it.

We specialize in building NLP and AI-powered chatbots for enterprises. Drop us a line at hello@mantralabsglobal.com to know more.

NPS in Insurance Claims: What Insurance Leaders Are Doing Differently

By : Divyanjali Gupta

Published on Jul 24, 2025

Customer Experience CX Insurance NPI In Insurance

Claims are the moment of truth. Are you turning them into moments of loyalty?

In insurance, your app interface might win you downloads. Your pricing might drive conversions.
But it’s the claims experience that decides whether a customer stays—or leaves for good.

According to a survey by NPS Prism, promoters are 2.3 times more likely to renew their insurance policies than passives or detractors—highlighting the strong link between customer advocacy and retention.

NPS in insurance industry is a strong predictor of customer retention. Many insurers are now prioritizing NPS to improve their claims experience.

So, what are today’s high-NPS insurers doing differently? Spoiler: it’s not just about faster payouts.

We’ve worked with claims teams that had best-in-class automation—but still had low NPS. Why? Because the process felt like a black box.
Customers didn’t know where their claim stood. They weren’t sure what to do next. And when money was at stake, silence created anxiety and dissatisfaction.

Great customer experience (CX) in claims isn’t just about speed—it’s about giving customers a sense of control through clear communication and clarity.

The Traditional Claims Journey

Forms → Uploads → Phone calls → Waiting
No real-time updates
No guidance after claim initiation
Paper documents and email ping-pong

The result? Frustrated customers and overwhelmed call centers.

The CX Gap: It’s Not Just Speed—It’s Transparency

Customers don’t always expect instant decisions. What they want:

To know what’s happening with their claim
To understand what’s expected of them
To feel heard and supported during the process

How NPS Leaders Are Winning Loyalty with CX-Driven Claims and High NPS

1. Real-Time Status Updates

Transparency to the customer via mobile app, email, or WhatsApp—keeping them in the loop with clear milestones.

2. Proactive Nudges

Auto-reminders, such as “upload your medical bill” or “submit police report,” help close matters much faster and avoid back-and-forth.

3. AI-Powered Document Uploads

Single-click scans with OCR + AI pull data instantly—no typing, no errors.

4. In-the-Moment Feedback Loops

Simple post-resolution surveys collect sentiment and alert on issues in real time.

For e.g., Lemonade uses emotional AI to detect customer sentiment during the claims process, enabling empathetic responses that boost satisfaction and trust.

Smart Nudges from Real-Time Journey Tracking

For a leading insurance firm, we mapped the entire in-app user journey—from buying or renewing a policy to initiating a claim or checking discounts. This helped identify exactly where users dropped off. Based on real-time activity, we triggered personalized notifications and offers—driving better engagement and claim completion rates.

Tech Enablement

Claims Orchestration Layer: Incorporates legacy systems, third-party tools, and front-end apps for a unified experience.

AI & ML Models: For document validation, fraud detection, and claim routing, sentiment analysis is used. Businesses utilizing emotional AI report a 25% increase in customer satisfaction and a 30% decrease in complaints, resulting in more personalized and empathetic interactions.

Self-Service Portals: Customers can check their status, update documents, and track payouts—all without making a phone call.

Business Impact

What do insurers gain from investing in CX?

A faster claim is good. But a fair, clear, and human one wins loyalty.

And companies that consistently track and act on CX metrics are better positioned to retain customers and build long-term loyalty.

At Mantra Labs, we help insurers build end-to-end, tech-enabled claims journeys that delight customers and drive operational efficiency.
From intelligent document processing to AI-led nudges, we design for empathy at scale.

Want a faster and more transparent claims experience?

Let’s design it together.
Talk to our insurance transformation team today.

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