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Why should businesses consider chatbots?

3 minutes, 10 seconds read

Imagine you’ve recently started an online fresh vegetable business. You have a catalog for fruits and vegetables explaining price and availability. Although most of the information is clearly mentioned on the website, you get hundreds of emails and phone calls regarding deliveries, discounts, and availability of your services in a particular location. Now, you could appoint someone for customer support and reply to these queries or simply — can implement a chatbot on your app and website that instantly answers such routine questions.

[Related: Conversational Chatbots for SMEs to continue business from home]

Chatbots for business are the need of the hour. The reasons are obvious. It is efficient, reduces workload, and responds to customer requests immediately. Nearly 1 in 4 customers have interacted with a brand via chatbots in the past 12 months, according to a Salesforce study published in late 2018. 

As more and more customers are using e-commerce and digital medium for purchases, the incoming requests have also increased at the same rate. Companies need a larger workforce to handle customer support, failing which may lead to dangling customer satisfaction. Immediate query resolution also implies better customer experiences.

chatbots for business

Chatbots for business: benefits at large

1. Humanized conversations

NLP-powered chatbots have the power to initiate and handle conversations with humans based on a set of predefined rules and upgrade its dictionary based on learning. Chatbots are a game-changer in terms of overall customer satisfaction pushing the market to reach 1.34 billion by 2024. As per the reports, smart chat agents will manage 40% of mobile interactions by 2020.

2. Easy to implement

A myth surrounding chatbots was doing rounds that it is expensive and exclusive to only fortune 500 companies. But, this is no more the case as it is predicted that by 2020, 85% of the chat interactions will be automated and will not need human intervention. In recent months, several new players like the virtual banker and progressive native chat have introduced schemes that help companies to set up chatbots instantly with reasonable investments. Also, 10K+ developers are building chatbots with the Facebook messenger.

3. People prefer self-serve interactions

Today, millennials represent 27% (2 billion) of the global population. This tech-savvy generation prefers immediate resolution to their concerns and instead of talking to the support, they’re happy about settlements over chats.

Making a customer happy is what all businesses need, and chatbots serve this purpose adequately. They are capable of resolving customer queries in just a few seconds, eliminating wait times and queues. It is a win-win situation for both the consumer and the provider as the customer gets instant replies and the provider saves on operational costs. By the end of 2018 automated customer agents will be able to recognize their customers through voice and face recognition.

AI Chatbot in Insurance Report

AI in Insurance will value at $36B by 2026. Chatbots will occupy 40% of overall deployment, predominantly within customer service roles.
DOWNLOAD REPORT

4. Fact-based decision making

All the conversations accomplished through chatbots are recorded and this contributes to the database for training future NLP models for more humanized conversations. Also, the data collected can help identify business bottlenecks and customer preferences towards specific products or services. All these, sum up to providing fact-based analytics for effective decision making.

5. Continuous innovations

Chatbots are here to stay. The innovations around chatbots are still in progress and time is not far when one will witness intelligent bots capable of resolving complicated issues on its own. We’ve already seen voice and vernacular chatbots in the market. 

Big Techs are working on AI and machine learning to make smart chatbots that can offer much more than simple answers. If you haven’t thought about chatbots yet, then certainly you are missing on a significant business opportunity.


The significance of chatbots is already depicted in banking and marketing, and with time its influence will subsequently increase. Customers also expect chatbots and automated assistants from their business providers. They like to engage in live-chat as it helps them to get answers to their queries instantly. As of now, chatbots are only used for simple conversation. But, in the coming future, it will handle complex decision-making tasks. Any business that wants to evolve should consider chatbots and make it an integral part of their business.

We’re the makers of the world’s first insurance-specific chatbots. For further queries, please feel free to reach out to us at hello@mantralabsglobal.com.

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10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

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