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CX Trends for Banking In India, 2022

Traditional banking relationships are based on years of face-to-face customer care, but modern banking relationships are based on a customer’s ability to swiftly access banking goods and services digitally, via their phone or any device.

According to Deloitte, only 11% of financial institutions throughout the world have properly upgraded their core systems. Other banks, on the other hand, are having difficulty implementing modern technologies.

The challenges being faced by Indian banks:

Public Sector Banks struggling with economies of scale are not able to unleash technology on full scale to pass on low costs to consumers so far and despite the abundance of solution providers ready to help, more than half of the companies said they are having difficulty deploying artificial intelligence (AI).

Financial institutions will need to use new technologies that enhance agility, efficiency, security, and innovation to address these issues and become future-ready. Intelligent decisioning, open banking APIs, embedded solutions, cloud computing, metaverse banking, and cybersecurity will differentiate banks and credit unions in 2022 and beyond. Every technology deployment should make a concerted effort to improve digital consumer experiences on a big scale and in a timely manner.

Trends Revamping Customer Experience in Banking for 2022

AI and applied analytics

AI and advanced analytic algorithms can project reports on the organization’s processes and employees may use this data to improve back-office processes, customer service, loyalty, revenues, and save money and time.

Financial institutions will be able to provide the greatest value-added services in terms of client demands and preferences owing to AI and applied analytics. Personalized and contextual communication will explain how products and services fit customers’ needs in near-real time, reducing both engagement costs and financial consequences. At scale and in real-time, proactive and dynamic advising is also possible.

Conversation AI bots

With the development of chatbots, the high adoption rate of artificial intelligence (AI) has been leveraged to focus on customer happiness.

According to Mordor Intelligence, the chatbot industry was worth USD 17.17 billion in 2020 and is expected to grow to USD 102.29 billion by 2026, with a CAGR of 34.75 percent between 2021 and 2026.

Chatbots in the banking industry uses cognitive analytics to facilitate communication and establish customer relationships by learning what consumers are thinking and responding instantly.

For instance, YES Bank introduced YES ROBOT, an AI-enabled chatbot to assist its customers. YES ROBOT uses conversational AI with vast financial knowledge to enable clients to conduct financial and non-financial banking transactions. Similarly, there’s Eva from HDFC, AXAA from Axis bank, ADI from Bank of Baroda, ABHi from Andhra bank and the list goes on.

Open Banking APIs

An open banking API approach can enable a variety of useful services for both users and providers.

Banking firms, for example, can collect useful data about buying habits, financial goals, and risk tolerance from both internal and external sources. This information can be utilized to improve multichannel marketing accuracy and provide proactive solutions and advisory services. It can aid in the introduction of services like phone banking, peer-to-peer lending, risk management, and loan processing, among others.

Despite the advantages, there are certain drawbacks, such as data security and financial privacy, the lack of grievance redressal procedures, compliance issues, and cybersecurity risks.

However, open banking models established by State Bank and Axis Bank make customer connections and transactions easier every day.

Neo Banking

According to Statista, the average transaction value per user in the Neobanking segment is US$4.71k in 2022 and is expected to expand at a rate of 20.60 percent annually (CAGR 2022-2026), resulting in a predicted total amount of US$101.40 billion by 2026.

Neo Banks are a cost-effective alternative to traditional banks, providing very convenient and user-friendly financial services specialized to a specific audience (both business and consumer). They provide savings accounts, prepaid cards, bill payments, and money transfers, as well as financial management services, 24-hour customer care, and high-security features. The user interface of the smartphone app is straightforward and intuitive. A transparent structure with a real-time notification feature.

Customer neo banks like Niyo, FamPay, Jupiter, and Fi raised $230 million in total in 2021. In the commercial neo banking industry, Open was reportedly valued at $500 million. Neo banking has a lot of space to grow in India, as smartphone imports (and usage) are continuously expanding.

Cloud Computing

According to a recent IDC report, approximately 80% of corporate banks in India will be using Cloud technology to run their trade finance and treasury workloads by 2024.

Cloud computing will open doors for banks to react rapidly to changing market conditions as well as obtain and analyze data in real-time, resulting in high engagement and personalization across all channels. Cloud technology will also help banks increase their customer base by providing a variety of mobile and application-based capabilities.

Embedded Finance

Embedded Finance has created an ecosystem in which any organization can offer innovative financial solutions on a single platform, spanning from credit card transactions to insurance, billing, and payments, all without requiring much human participation.

Embedded finance has played a critical role in India in encouraging the adoption of digital payments— UPI.

According to Statista, there were over 25 billion UPI transactions worth over 41 trillion Indian rupees in the fiscal year 2021. In the fiscal year 2025, the country’s transaction value is expected to exceed 128 trillion Indian rupees. The increase was due to a spike in peer-to-merchant transactions, implying that UPI might play a larger role in financial inclusion by bringing thousands of people from tier 3 cities and beyond into the digital economy.

Metaverse

A metaverse bank can provide a “telecommuting” center for employees and allow customers to roam around in their own virtual financial town, complete with a virtual branch and financial playground while interacting with content and a real-life agent through video chat.

Customers visiting virtual branches for excellent customer service, having a real-time mortgage broker visit their home, discussing retirement plans with an avatar advisor, attending an investor event, or participating in a bank-sponsored community programme are just a few of the new ways the metaverse has opened up for reaching out to new audiences, including a younger, more experienced generation of NFTs.

According to Lina Lim (HSBC, Asia Pacific), the metaverse ecosystem is still in its early stages, but it offers many interesting potentials as organizations of all sizes and backgrounds flock to it. Therefore, HSBC is investing $3.5 billion into its wealth and personal banking division.

What Lies Ahead

All of these trends lead to the Indian banking industry adopting technology quickly, but data security is a major worry for both banks and their consumers. Recently, Microsoft has made it possible for users to go password-free by using their Authenticator app. While this will not stop fraudsters from operating, as biometrics becomes more frequently used, it will provide an extra layer of security.

Cyberattacks are more common than any other sort of attack these days. Captchas and tick boxes are no longer adequate security measures. As a result, financial institutions must invest in data security and protection. Conduct audits and re-evaluations of existing systems. Above all, make sure that privacy policies don’t become a roadblock for customers.

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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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