Tag: conversation analytics

  • Enthu.ai Success Story – How is it Providing Actionable Insights from Customer Interactions?

    Company Profile is an initiative by StartupTalky to publish verified information on different startups and organizations. The content in this post has been approved by Enthu.ai.

    Conversational analytics is the concept of extracting useful data from human speech and making analysis/interpretations using AI/ML. As technology is advancing exponentially, so are the great minds of entrepreneurs. Tushar Jain realized that there is still less scope outside in automating the manual process of sales people.

    He got his Eureka moment, and established an amazing product named ‘Enthu’. Enthu (as a product) was conceptualized and built by the entrepreneurial and technical minds of Tushar Jain and Vishal Verma.

    Conversation analytics is a costly technology, thus limited to only a few. Enthu’s vision is to make conversation analytics/speech analytics platform affordable to businesses at a reasonable rate with important feature. Enthu is a SaaS based conversation intelligence platform that turns customer calls into actionable insights.

    StartupTalky interviewed Tushar Jain (Founder of Enthu.ai) to understand the Conversation analytics industry and know about Enthu.ai Startup Story.

    So, let’s walk through the Startup Story of Enthu.ai and delve into everything about Enthu’s founder, business model, startup idea, products, revenue model, and more.

    Enthu.ai – Company Highlights

    Company Name Enthu.AI
    Headquarter Chandigarh, India
    Founders Tushar Jain, Vishal Verma (Technical co-founder)
    Sector Conversation Intelligence, Speech Analytics, AI
    Founding Year 2020
    Total Funding $15 mn
    Registered Entity Name OnPage Infotek LLP
    Contact Email hello@enthu.ai

    Enthu.ai – About
    Enthu.ai – Market/Industry Details
    Enthu.ai – Founders and Team
    Enthu.ai – Startup Story
    Enthu.ai – Name and Logo
    Enthu.ai – Business Model and Revenue Model
    Enthu.ai – Funding and Investors
    Enthu.ai – Customer Acquisition
    Enthu.ai – Advisors and Mentors
    Enthu.ai – Startup Challenges
    Enthu.ai – Future Plans

    Enthu.ai – About

    Enthu is a SaaS-based conversation intelligence platform that turns customer calls into actionable insights. It automates the ability to listen to every customer interaction and drive agents’ performance by identifying the behaviors that impact outcomes.

    Enthu is aimed at improving contact center performance by delivering highly effective, scalable, and usable conversation analytics. The core of the platform is analytics, where each call is analyzed for call moments and reports can be pulled out for QA analysis. Enthu can completely analyse the call interactions, extract actionable sentiment and interaction insights, and in this way, it helps to streamline the workflows.

    It is a horizontal play, which means Enthu can be easily deployed across business functions, be it the revenue side (like sales, customer success etc.) or the margin side (like customer support, call quality monitoring, rep training & coaching, recruitment operations etc.).

    Enthu Speech analytics platform
    Create customized call moments with Enthu

    Products of Enthu.ai and how does Enthu.ai work?

    The product (Enthu) integrates with the VoIP platform which calling teams use. The call feeds are automatically picked by Enthu and analyzed.

    One of the important aspect here is that the product is 100% customizable i.e. the user can replicate their calling scripts/themes in the system, create teams/agents and assign custom feedback forms. ‌‌The core of the platform is the analytics where each call is analyzed for call moments and reports can be pulled out for QA analysis.

    Enthu Conversational Analytics Platform
    Enthu Call Analysis

    Enthu.ai aims to help the managers gain a complete awareness of their customer service operations, which will let them run coaching for their agents.

    Suppose a company would want to run a Christmas campaign where they would offer their products at a discount. Here, they need to make relevant calls that the agents would dial. In such situations, the call centre managers were rendered helpless at the end of the day earlier. However, now they can now evaluate the calls and check whether the pitching was right and all the points of improvements that they bring to the process. Enthu.ai would help them define the manual script where they would not have to listen to random calls anymore. The Enthu software would instead help them process all the calls and provide detailed reports or conversation analyses.

    Enthu.ai – Market/Industry Details

    Conversation Analytics Platform & Speech Analytics is the domain of Enthu.ai.

    As per a report by Mordor Intelligence, the speech analytics market worldwide was valued at $1.34 billion in 2019, and is expected to reach a value of $4.38 billion by 2025. That’s a CAGR of 21.6% over the 5-year period between 2020 and 2025.

    While North America is still the largest market, Asia Pacific is the fastest-growing market, probably because of the high concentration of call centers in the region.


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    Enthu.ai – Founders and Team

    Tushar Jain is the Founder of Enthu.ai. Vishal Verma is the Technical Co-founder of Enthu.ai

    Founder/Owner of Enthu.ai
    Tushar Jain, Founder, Enthu.ai

    Tushar Jain (Founder, Enthu.ai)

    Tushar Jain is an Engineer, who has completed an MBA from NMIMS. He has over 9 years of corporate experience working in brands like McKinsey & Company and HCL Tech. He has also worked in startups like Jugnoo Technologies, where he worked as Head of Marketing. Tushar was also the Head of Marketing at Kays Harbor. After that, he founded OnPage Champ. He led the entrepreneurial journey since January 2019, when he started working on his 1st product – OnPage Champ. He then founded Enthu.ai in July 2020.

    Vishal Verma (Head of Technology, Enthu.ai)

    Vishal joined us as an employee of Enthu.ai in March 2020 (for OnPage Champ). He has a very rich experience in servers and algorithms. He displayed exemplary leadership, and problem-solving capabilities and was instrumental in building the crawling engine of OnPage Champ.

    As they decided to start working on Enthu, Vishal shared his vision about building Enthu.ai and offered to join as a technical cofounder for Enthu. That’s how Vishal boarded with Tushar.

    Vishal’s role in building Enthu.ai was exemplary. He guided the team and ensured that they launched the MVP for Enthu in just 20 days, and by the end of the first month, they were together pitching Enthu to real customers.‌‌ Vishal left the company in December 2021 and then began to work as an IT Consultant.

    Gaurav Mittal is another Co-founder of Enthu.ai, who is serving the position at Enthu.ai since May 2021.

    Enthu’s work culture is more of a decentralized organisation. At Enthu, individuals are motivated to take decisions irrespective of the outcome.

    Its hiring criteria is simple –

    “We are fast movers and we chose people who are independent thinkers and take ownership of their work” Says Tushar Jain, Founder, Enthu.ai

    Enthu.ai – Startup Story

    The idea for Enthu germinated while Tushar was trying to scale his other product OnPage Champ (the product is still active and has a user base of 2000+).

    During the COVID lockdown, Tushar was trying to scale up the outreach team at OnPage Champ. The idea was – the team makes calls and converts the inbound leads that were generated on the website. His sales reps were working remote and there was no way he could quickly analyze what was happening on the calls, except going through the meeting notes or listening to the calls. Both these activities required a significant amount of time investment, something which he couldn’t afford.

    In a way, he felt a lack of control over the feedback, coaching and training, that he should offer to the salespeople, basis the conversations they are making day in and day out.

    At that moment, Tushar started looking for conversation analytics solutions in the market. There were a couple of great options, but all were heavily priced and targeted towards enterprises. Moreover, a majority of them wanted a prior commitment, either in terms of number of agents or annual contracts, something which he wasn’t ready to make. This was his eureka moment: to build a speech analytics platform that can cater to a wider audience (especially SMEs), irrespective of any restrictions.

    There are a number of contact centers in Chandigarh and he started talking to founders and operation managers. The idea was not to pitch the solution but to understand the following-

    • How do they manage the call quality?
    • What are their pain points?
    • How frequent are the pain points and what they are doing to solve it?

    I strongly recommend you to read “The Mom Test” if you want to learn how to take customer interviews – Says, Tushar

    ‌‌Based on these interactions with people, Tushar realized that monitoring call quality is still a manual process across majority of the contact centers, and that there’s a lot of scope of automating this labor-intensive process. ‌‌That’s when Tushar along with Vishal, started working on the MVP for Enthu.


    Clumio Company Profiles: SaaS Platform For Enterprise Backup
    This article is a part Company Profile, an initiative by StartupTalky to publish
    verified information on different startups and organizations. The content in
    this post has been approved by the organization it is based on. Traditional approaches to backup and recovery, even those claiming to be SaaS…


    Tushar (founder of Enthu) was looking for an adjective that has a close association with people who sell on calls. Being enthusiastic about one’s product/service is the first step to success when it comes to sales.‌‌ That’s how the slang ‘ENTHU’ was determined.

    Enthu.ai

    Enthu.ai – Business Model and Revenue Model

    Enthu works on per agent per month model, with no annual or minimum rep commitments. It offers a 14-day free trial during which it runs a pilot for the customers to showcase the value of speech analytics and conversational AI.

    ‌‌The base plan for Enthu starts with $25 per agent, and that includes fixed number of transcription hours. It also offers custom plans depending on calling needs and volume.


    Haptik | AI-Company | Company Profile |
    Company Profile is an initiative by StartupTalky to publish verified information
    on different startups and organizations. The content in this post has been
    approved by the organization it is based on. There are more than 3 billion people in the world who use messaging or digital
    voice interfaces on…


    Enthu.ai – Funding and Investors

    Enthu.ai was initially bootstrapped before it raised a $15 mn Pre-Seed round of funding led by Ankit Dudhwewala, and Appit Simple Infotek. Suhasini Dudhwewala is another investor of Enthu.ai

    Date Funding Round Deal Value Lead Investors
    May 11, 2021 Pre-Seed Round $15 mn Ankit Dudhwewala, Appit Simple Infotek

    Enthu.ai – Customer Acquisition

    Via cold outreach and referrals, Enthu acquired a couple of customers since its inception. The customers are majorly contact centers and SaaS companies. It has already established the RoI of the product for its initial few customers.

    LinkedIn works best for us to acquire customers.”- Says Tushar

    Enthu.ai – Advisors and Mentors

    CallHippo, a leading VoIP provider is Enthu’s partner. CallHippo helped them to get lot of industry insights and mentorship.

    Enthu.ai – Startup Challenges

    Tushar felt that technology was one of the main challenging aspects, as the system had to be made accurate with an Indian English Accent. However, at the end, they were able to solve it and create an amazing speech analytics platform – Enthu.ai.

    Enthu.ai – Future Plans

    Enthu’s goal for the next 1 year is to work closely with its customers and identify more use cases for the application of voice analytics at contact centers and accordingly invest in the product.

    FAQs

    What is Enthu.ai?

    Enthu.ai is a Chandigarh-headquartered conversational AI startup that was founded in 2020 by Tushar Jain and Vishal Verma, which is helping monitor and analyse the calls and extract valuable information to enhance call quality.

    Who were the founders of Enthu.ai?

    The founders of Enthu.ai are Tushar Jain and Vishal Verma.

    When was Enthu.ai was founded?

    Enthu.ai was founded in 2020.

  • How Do Companies Use Mobile Analytics to Improve Their App?

    Seventy percent of screen time is devoted to smartphones. A large percentage of this time is spent on apps. Such tremendous interest is fantastic news for you as an investor in the technological market. Simultaneously, the mobile app industry is quite crowded. If there’s one app for an issue, there’s probably another (or ten) available.

    How can you remain above the curve while every application in the industry claims to be the next great thing? What strategies do you employ to ensure your software is unique? That’s when mobile analytics come into play.

    What Is Mobile App Analytics?
    Types of Mobile Analytics
    Mobile Analytics versus Standard Web Analytics
    Different Ways Mobile Analytics Is Used by Multiple Departments in a Company
    What Is the Most Effective Technique to Obtain Analytics for Applications?
    Is Google Analytics Compatible With Mobile Apps?
    Best Mobile Analytics Tools

    What Is Mobile App Analytics?

    The collection and assessment of data – the data that makes you learn your customers’ behaviour and how they engage with your app – is called mobile analytics.

    This unlocks a slew of options, such as gaining information about the number of converts and customers, as well as a better understanding of your consumers’ experience within your app.

    Ultimately, it clarifies the objectives of users–do they want to purchase stuff? Is it merely for the purpose of obtaining data? Or are they simply browsing?

    Types of Mobile Analytics

    There are various forms of mobile analytics, each one improving your app in a unique way. To make the most of these mobile analytics sorts, keep in mind your company’s demands and objectives.

    Mobile Advertising Analytics

    You can track the efficacy of your promotional activities using mobile advertisements or marketing analytics.

    App Monetization Analytics

    App monetization analytics can help you learn more about your consumers’ app purchases. With this data, you may devise tactics to increase the profitability of your app.

    In-App Engagement Analytics

    In-app engagement analytics allows you to monitor user behaviour within the app. Learning how your app’s customers engage with it is a great method to constantly improve.

    App Store Analytics

    App store metrics can be accessed via app stores or a 3rd party solution. You may track optimization metrics like:

    • App download and installations with this form of analytics.
    • Rating
    • Earnings
    • Systems
    • Venues

    You may compare your application to your rivals in app stores by employing a 3rd party analytics tools.

    Performance Analytics

    Performance analytics is critical for determining the efficiency of your app. Many consumers will uninstall your app if it doesn’t function properly. You must evaluate all potential permutations of devices, OS, and other aspects to fully comprehend your app’s functionality.

    Mobile Analytics versus Standard Web Analytics

    Let’s look at the differences between mobile analytics and standard web analytics now. On portals, web analytics gather user information. For using web analytics, you must include a JavaScript code snippet in your site’s HTML source code. It’ll then begin collecting info and utilizing cookies to discover web traffic. Web analytics tools keep records of both desktop and mobile visitors’ info.

    Mobile analytics is for smartphone and tablet applications. It tracks data via SDKs rather than prefetching, and customers are identified by their gadget or OS ID. Remember that each OS has its own SDK.

    Moreover, unlike conventional analytics, mobile analytics excludes info from search engines because consumers access apps through their phones rather than through search engines. If your app connects with other apps, certain mobile analytics systems also help track inter-app interoperability. Also, because these elements impact your app, app analytics gives insight into consumers’ devices. Web designers should try and ensure their designs are attuned.

    Different Ways Mobile Analytics Is Used by Multiple Departments in a Company

    To collect data, analytics solutions are frequently connected with organisations’ native applications. It ensures that the time and work put into designing the app does not go in vain. Also, it tells you where your customers are drifting off and what hurdles they’re hitting during the onboarding.

    When it pertains to refining and optimising the UX, the ideas gleaned from analytics data are immediately relevant for various teams within the firm.

    Marketing

    A market study is done using mobile analytics. It allows firms to monitor and assess the efficacy of their marketing efforts, as well as determine which platform is the most effective. This aids in the proper management of your marketing initiatives.

    UX/UI

    Heatmaps and session replay aid UX professionals in focusing primarily on the majority of your app’s user-interacted sections. Heatmap is a data visualisation tool that displays how your smartphone users engage with the UI by clicking, tapping, scrolling, etc.

    Heatmaps
    Heatmaps 

    Session replay recreates the user’s experience in the format of replay clips and accentuates the user’s full touch engagements. This study enables them to carefully position CTAs, improve navigation, and utilise screen features to provide a streamlined experience.

    You may delve deeper into a whole set of users by integrating session replays and conversion funnels and monitoring the deviation and true customer behaviour.

    Product

    A/B testing allows product managers to assess their customers by dividing them into 2 (or more) sets and observing how each variation influences their behaviour. Product managers can use tools like usage monitoring to uncover trends that will assist them to make decisions as they make modifications and send out fixes.

    After taking recourse, product managers must ensure that it has the desired effect. When making judgments, they consider conversion rates, the most frequently utilized screens, app versions, devices, and OS.

    Establishing funnels for certain user groups is an intriguing use case. Using session replays to see into the funnel lets product members discover why a certain customer took a specific function and where they were experiencing trouble. This assists in finding the precise setting of customer drop-offs and other prominent user resistance spots.

    Engineering

    App failures and ANR are two of the most common causes of customer dissatisfaction. Technical experts can employ heatmaps and session replay to monitor crucial usage patterns like anger taps, extended presses, quit touch, and inattentive touches, which signal displeasure.

    Heatmaps assist groups in visualising the stage at which customers become irritated. The mix of session replays and heatmaps reveals the list of steps that users take well before exiting the programme.

    Crash analytics paired with heatmaps enables you to rerun the user’s onscreen activity and discover what caused the crash. This takes away the ambiguity for tech personnel, allowing them to focus on tackling the issue without having to deal with already irritated users.


    Top Analytics Tools for SaaS | SaaS Analytics Tool
    Top Analytics tools for SaaS business are important because if you can’t measure it, you can’t improve it. You need efficient analytics tools that will break down data into understandable metrics.


    What Is the Most Effective Technique to Obtain Analytics for Applications?

    For that, you’ll need to use mobile app advanced analytics. Because each piece of equipment has its range of attributes, you choose something that suits your needs.

    These tools are typically simple to set up and utilise. All you have to do is include SDKs in the programme you wish to track. The programme will begin collecting data constantly so you can keep track of your app. You can quickly acquire meaningful information about user behaviour and the effectiveness of your app using mobile analytics services.

    Create a UX Map

    It depicts the consumer journey using your phone app from the start. You’ll learn which parameters to track and when users often discontinue using your application if you study their experiences. This way, you’ll be able to pinpoint exactly which phases of the user’s journey need to be improved in order to increase income.

    Use it at Each Stage

    Don’t delay until a problem occurs with your application to begin using analytics. It’ll be much simpler to spot and solve issues if you try integrating analytics for your application from the start.

    Determine the Variables You Ought to Monitor

    There seem to be a lot of variables to detect, and if you don’t figure out which ones are most vital to a company first, you’ll waste time and money on the ones that aren’t. As a result, ensure to outline your objectives and then select the appropriate measurements to achieve them.

    Evaluate Your App

    Ensure you check your app in a variety of scenarios to ensure that it meets the requirements. A/B testing is a wonderful way to figure out how to improve your app’s exchange rate.

    Use Tools

    The greatest method to learn how to optimise your app while improving efficiency is to utilize app analytics programs and tools. There are a plethora of mobile analytics systems to select from, so ensure you pick something that’s right for you. However, not every mobile analytics are same. There are several mobile analytics options available. UserExperior, Google’s Firebase, and others are instances of mobile analytics solutions that, while similar, are not exclusive and handle various challenges.

    Qualitative Analytics encompasses previously mentioned capabilities such as heatmaps and session replay and is probably highly recommended for every firm’s stack.

    Early investors of QA Solutions include Lenskart and ICICI Prudential Life Insurance, which have experienced a strong influence on their application service quality and customer loyalty. Replays of sessions and heatmaps are wholly accountable for a 95 percent reduction in service SLA and for repairing the disrupted UX.

    Is Google Analytics Compatible With Mobile Apps?

    Yes, you may utilise Google Analytics tools for phone analytics. Google Analytics for smartphone apps or Google Analytics for Firebase is the two possibilities. You may use services for gratis, but you’ll have to pay to get access to all of the services. It’s a free service provided by Google.

    For Mobile Apps

    You can monitor user behaviour on your portal and apps for free with Google Analytics. You must use Google Analytics SDK for Android or ios to configure analytics for the app.

    It can assist you in two steps:

    • Recognising the most successful lead streams
    • Segregating your app’s customers
    • Monitoring user engagements
    • Analyzing in-app purchase income
    • Analyzing user travel pathways

    Google Analytics gives the following info about your app:

    • Count of users and visits
    • Session duration
    • OS
    • Device forms
    • Users’ residence

    For Firebase

    It’s more than simply an analytics software; it’s also a framework for developing apps. Firebase uses events and variables to record user behaviour. It allows you to update on up to 500 different occurrences at once.

    This utility allows you to accomplish the following:

    • Recording user characteristics and events
    • Configuring unique events
    • Recording in-app purchasing data
    • Creating target markets
    • Seeing real-time user information

    Best Mobile Analytics Tools

    Rather than Google Analytics, you can utilise a variety of additional mobile analytics solutions. Most of them even have additional functionality that Google Analytics does not. They’re as follows:

    1. Countly

    Countly Dashboard
    Countly Dashboard

    It’s an app analytics solution that aids in the enhancement of the user experience. It helps to build unique events to track which activities have the greatest impact on your conversions and retention levels.

    Features

    • Push alerts
    • Crash analysis
    • User ids
    • In-app use metrics.

    2. Localytics

    Localytics Dasboard
    Localytics Dashboard

    It’s a mobile analytics tool that allows you to tailor your app ads in order to boost user experience. This tool aids in attaining better knowledge of your app’s customers so that you can urge them to continue using it.

    Features

    • Funnel analysis
    • Push alerts
    • Event monitoring
    • Retentions monitoring

    3. Adjust

    Adjust Dashboard
    Adjust Dashboard

    It’s a mobile app analytics tool that allows you to analyse how people interact with your app. You’ll be capable of making better marketing decisions and driving profits with this tool.

    Features

    • Funnel analysis
    • Retention monitoring
    • Revenue monitoring
    • Event monitoring

    Conclusion

    When it comes to creating a product that catches the eye, there are a few things to keep in mind. You’ll need a 360-degree view of your app. This ensures that your customer base is committed and satisfied with your brand, and mobile analytics solutions are essential for this.

    FAQs

    What are companies that use mobile analytics?

    Adobe, Clicktale, Google, IBM, and InnoCraft are some of the companies that use mobile analytics.

    What is mobile data analytics?

    Mobile data analytics monitors customer behaviour and helps companies understand how customers are interacting with their apps.

    Why is mobile analytics important?

    Mobile analytics is important as it helps brands optimize their performance and improve their app.