This is a sponsored article by Glassbox.

Fintech leaders, C-suite executives, and investors are facing an epic challenge: How do we adapt our customer acquisition strategies as the landscape becomes more competitive? In this article, we’ll highlight the challenges fintech companies face in customer acquisitions and the benefits of digital experience intelligence (DXI) in understanding your customer behaviors and challenges. Armed with those insights, you’ll be better able to navigate the ever-evolving fintech environment to grow your customer base and nurture your existing customers.

Want to know which of your marketing assets was most viewed by new conversions? Done!

Wondering where the common dropoff points are in your mobile app? No sweat.

Here are ten ways DXI can inform and refine customer acquisition strategies for fintech companies to acquire more of their ideal customers.

1. Identifying Acquisition Opportunities

Digital experience intelligence enables your organization to measure and analyze how users interact with your website or mobile app. Analyzing these journeys provides insight into pain points and areas of high engagement for potential customers. This initial informational process can help you tailor your product offerings and marketing outreach to engage your ideal customers.

Note: Be sure you’re targeting your ideal customers – the ones who truly need and will benefit from your products or services. Understanding who they are, and making that extra effort, will pay off with a client base that is bought in and wants your solutions to work for them.

2. Data-Driven Optimization

Leveraging insights from digital experience intelligence can help identify which marketing channels attract your target audience. In addition, user behavior analysis can measure the effectiveness of ad campaigns to optimize them across different channels.

👉🏻 For tips on gaining and retaining digital banking customers, check out this guide: 5 Mobile App Optimization Best Practices for Banks.

3. Personalization at Scale

Personalizing customer experiences is one of the most effective ways to increase engagement and conversion rates, especially during the consideration and decision-making stages. A digital experience intelligence platform like Glassbox is the easiest and most effective way to gain critical insights into how users interact with your platform.

You can then use that data to segment customers by a variety of metrics to provide more relevant, personalized digital experiences. The data gained can also be used to inform product recommendations, web content, and marketing messages, as well as cater to specific preferences, all of which can boost engagement and conversions.

4. Mobile Optimization

Nearly 40% of app uninstallations occur because people are simply not using the app. The best way to understand why customers are abandoning your app is by measuring and monitoring your customer journeys. Armed with that information, you can refine your app to ensure it’s relevant, intuitive, and user-friendly so your users are never tempted to select “Remove app.”

5. A/B Testing for Optimization

Data-driven insights are the holy grail of refining customer acquisition strategies. A/B testing enables companies to understand which versions of websites, apps, and offers perform best in attracting and converting potential customers. The insights you gain can inform continuous improvement of user experience and refine your customer acquisition strategies.

6. Proactively Addressing Customer Pain Points

Technology like Real User Monitoring (RUM) and newer iterations like Real User Experience (RUX) enable fintech companies to quickly detect and resolve technical issues.

The ability to swiftly address user experience pain points and intercept technical snags before they escalate can transform your customer’s journey from one of frustration into a smooth and responsive experience that makes them feel valued. With 80% of consumers reporting that customer experiences need to be improved, proactive engagement is your golden ticket to differentiation.

7. Unlocking More Substantial Customer Feedback with AI

Voice of the Customer (VoC) data captures customer feedback so you can gain a deeper understanding of their digital experiences. However, VoC data only represents the vocal minority—our internal analysis found that only about 4% of users provide feedback.

Fintech companies can now leverage AI to automatically compare these rated interactions to similar interactions across the entire user base. We do this at Glassbox with our Voice of the Silent (VoS) tool, which makes it easier to understand what the majority is experiencing, even when they blow off satisfaction surveys.

8. Building Customer Trust Through Transparency

Building customer trust is the most direct path to loyalty. Digital experience intelligence reveals where users hesitate to provide information or engage, which can reveal areas for improving transparency about data privacy and security measures. Addressing those concerns demonstrates your commitment to user safety, which puts you further along the path to customer trust and loyalty.

9. Clear The Biggest Hurdle: Knowing What Your Customers Want

With fintech products and services flooding the market, customers have an exhausting supply of options if you fall short of their expectations for seamless digital experiences. Understanding how they experience interactions with your website or mobile app is critical to effectively measuring, analyzing, improving, and ultimately ensuring customers feel understood and appreciated.

10. Make Customer Acquisition Everyone’s Business

Customer acquisition should be an all-encompassing, organization-wide effort – not just the job of marketing or product development. Lasting relationships are supported at multiple levels and in diverse ways, and playing that message on repeat is essential to making it stick.

Want to see what DXI actually looks like in action? Click around in Glassbox’s self-guided platform tour.

Today’s customers want personalized experiences, but how can companies drive meaningful one-on-one connections at scale?

Data wins!

Handled correctly, well-orchestrated data reaches customers the way they want to be reached: fast and seamless while facilitating loyalty and trust.

The next generation customer experience is made easier with LeanData, the leading Revenue Orchestration platform. LeanData connects the dots for over 1,000 companies, increasing speed-to-response and aligning go-to-market motions with efficiency.

• 90% reduction in data duplication
• 78% decrease in time needed to research records
• 5 hours per week saved by eliminating manual processes
• Time-to-response decreased from 1 to 2 days to less than 1 hour
• 35% increase in customer retention rates

Join LeanData at FinovateSpring next week and see it in action.

This is a sponsored post by Indium Software

2023 is bringing new regulations and transparency requirements to shape the Banking, Financial Services, and Insurance (BFSI) marketplace. This guide, Navigating the Path to Data Modernization in the BFSI Industry, explores the practical steps business leaders can take to accomplish their objectives — from identifying suitable technological solutions to effectively implementing them to maximize their influence.

By following these recommendations, you as a business leader can embark on a successful journey of modernization that not only fosters growth, but also enhances the profitability of your business.

Key Highlights

• Banking Data Modernization Challenges
• Numbers Don’t Lie!
• Data Modernization Isn’t a Brand-New Concept
• Data Modernization – The Need of the Hour
• The Journey of Data Modernization
• First Step to Data Modernization
• Data Modernization Roadmap: The 8 Pillars of a Winning Strategy
• The End Objectives of Data Modernization
• No Disruption on the Road to Digitization – Cheat Sheet: Key Tips for Next-Gen BFSI Orgs & How Can Indium Help

Read the e-book>>

This is a sponsored post by Accusoft.

Fintech software has become a critical component of the financial services industry, allowing customers to readily access financial products on their own terms while also enhancing operational efficiency. Digital technology continues to revolutionize the way financial institutions operate, and developers work hard to create new applications that can manage workloads previously spread across multiple systems and software.

Document viewing and sharing capabilities are among the most important features for fintech applications. While developers can use a variety of document lifecycle solutions to avoid the difficult task of building those features from scratch, the financial industry faces unique security and compatibility requirements when it comes to selecting integration partners. To fully understand these technical challenges, it’s important to understand the role of Java in the development of today’s fintech applications.

How Java Became So Important to the Financial Industry

Financial institutions were early adopters of computerized workflows. The first electronic communication network that made it possible to trade financial products outside the stock market floor was introduced in 1969. Computerized order flows became more widespread in the 1970s, with most institutions developing their own in-house systems. Digitization really took off in the 1980s and early 1990s following the introduction of the Bloomberg terminal and the Financial Information eXhange (FIX) protocol. In the late 1990s, the Nasdaq made it possible to execute securities trades without manual intervention by adopting Island ECN.

Java burst onto the programming language scene in 1995, and its arrival proved to be well-timed. The late 1990s and early 2000s saw extensive mergers and acquisitions in the financial industry, which left many companies struggling to integrate disparate applications and data. Java programming language, with its ability to support multiple platforms (“Write once, run anywhere” was an early slogan used by Sun Microsystems) proved to be an attractive solution to this challenge, and many financial applications were ported into Java. It also helped that Java was easy to use and orders of magnitude faster than legacy code running on outdated platforms.

Within just a few years, Java became the dominant programming language for the financial services industry. Its popularity only accelerated after the release of OpenJDK, a free and open-source implementation of the language, in 2007. By 2011, an Oracle report estimated that over 80% of electronic trading applications and almost all FIX engines were written using Java. Even now, nearly 30 years after its introduction, Java remains the dominant programming language used by financial services, far outpacing other open-source alternatives.

Why the Financial Industry Loves Java

Developers in the financial sector haven’t just stuck with Java for so long out of habit or inertia; Java’s distinctive features make it uniquely suited for the needs of financial applications, both for longstanding enterprise-grade banking systems and innovative new fintech solutions.

Security

It goes without saying that security is always a top consideration in the financial services industry. Banking and trading applications need to have security measures in place to protect financial data and personally identifiable information from unauthorized access. Java makes it easy to restrict data access and offers a variety of memory safety features that mitigate potential vulnerabilities, especially those caused by common programming errors. Oracle also continues to provide regular updates that patch known vulnerabilities and account for the latest cybersecurity threats.

Portability

As a platform-independent language, Java applications can run on almost any device. This has always been a major advantage in the financial industry, but it has proved even more valuable in the age of cloud computing and mobile applications. Developers can use the same code to deploy software in a virtual environment and make it accessible to end-users from their smartphones, computers, or other devices. Java virtual machines also support other programming languages, which further enhances the language’s flexibility.

Reliability

Since Java has been in continuous use for nearly 30 years and enjoys support from a robust development community, it has become one of the most reliable programming languages in the world. Potential instabilities have long since been addressed and there are many developer tools and documentation available to ensure that software is built upon a strong foundation. This is critically important for banking and financial applications, which require high levels of performance paired with fault tolerance.

The Need for Java-Based Document Viewing & Sharing

As fintech developers continue to build new applications that make life easier for customers and employees within the financial sector, they are increasingly finding that users expect more when it comes to viewing and sharing documents. Nobody wants to waste time and resources processing paper documents by hand, and most organizations want to avoid the security risks that come with relying on external applications for managing digital documents.

Unfortunately, today’s application users expect complex document viewing capabilities that are difficult for most developers to build from scratch. While there are several integrations available that can add document lifecycle features, most of them are not Java based and require additional development work to incorporate them into existing fintech solutions. Without the ability to support viewing, sharing, and editing natively within the Java application, users often turn to workarounds involving external programs, which creates security and version confusion risks.

Implementing Java-based Document Features with VirtualViewer

Accusoft’s VirtualViewer is a powerful HTML5 document viewing solution built from the ground up using Java to ensure maximum compatibility with fintech applications in the financial services industry while also meeting complex functionality and security requirements. With support for diverse document types, such as PDF, TIFF, JPEG, AFP, PCL, and Microsoft Office, VirtualViewer eliminates the need for multiple viewing solutions to create a better user experience within fintech software.

As a Java-based integration, VirtualViewer is compatible with almost any operating system and is both easy to implement and manage. No software needs to be installed on the user’s desktop, which allows fintech developers to roll out a scalable solution that meets their critical security and business continuity requirements within a single, high-speed application. VirtualViewer’s server component quickly renders and delivers individual document pages for local viewing as needed so users can access, view, annotate, redact, and manipulate financial documents on the fly. Since documents are displayed within the web-based viewer, there’s no need to download or transfer files, which enhances both security and efficiency.

When implemented as a replacement for a mortgage lender’s content management system, VirtualViewer made it possible to import and deliver more than half a million documents across the enterprise each day. Documents could be retrieved and viewed in under two seconds, contributing to a 40% improvement in mortgage processing times.

Enhance Your Java Fintech Application with VirtualViewer

Accusoft’s VirtualViewer provides true cross-platform document support for your Java-based applications. Whether you’re deploying your application within the cloud, on-prem, or as part of a hybrid environment, VirtualViewer’s powerful APIs can instantly provide your software with the document viewing and sharing features your customers are looking for. Installing the viewer takes less than ten minutes, and our out-of-the-box connectors make it easy to quickly connect to leading ECM applications, including Alfresco, IBM, and Pegasystems.

See for yourself: take VirtualViewer for a test drive and experience all the features available for your Java-based application.

This is a sponsored blog post by Delaware Prosperity Partnership

A new Discover Bank fund aims to increase financial health throughout Delaware while enriching the state’s innovation ecosystem and enhancing Delaware’s reputation as a hub for banking and financial services.

The Discover Financial Health Improvement Fund will support startups and early-stage technology companies that are developing solutions to improve the financial well-being of low- and moderate-income residents, communities, and small businesses statewide. Discover Bank has made an initial capital commitment of $36 million to the Fund, which was announced in June and launches this month.

“We continually explore innovative ways to support our communities in which we operate, and the initial portfolio companies in the Discover Financial Health Improvement Fund have developed technologies that improve the financial health of people with modest means and provide tools to support small businesses growth,” said Matthew Parks, Vice President of Discover Bank. “It is our expectation that these technologies can both be profitable and beneficial to the community.”

By creating a framework to drive capital investments to fintech startups, the Fund ultimately seeks to ensure that affordable and relevant financial products and services are useful and accessible to unserved and underserved individuals and small businesses. Clients for these offerings include the unbanked and the underbanked and those with low credit scores, low savings rates and/or high borrowing costs.

The mission-driven initiative is a collaboration between Discover Bank, the Financial Health Network, ResilienceVC, and Delaware-based Chartline Capital. The Financial Health Network, a leading authority in its field, will help evaluate startups for their potential impact on financial-health improvement. ResilienceVC, a seed-stage domestically focused venture firm investing in embedded fintech startups, will manage Discover’s earlier-stage investments.

Venture capital firm Chartline Capital Partners was formed under the principle that entrepreneurship and venture capital can be leveraged to improve the world. The firm invests in high-growth business-to-business technology companies serving core industries after they have started scaling their go-to-market and helps founders and management teams accelerate growth. Chartline will manage Discover’s later-stage investments.

“Throughout time, new technologies have made people’s lives better,” said Ben duPont, Chartline co-founder and Managing Director. “Chartline is honored to partner with Discover to invest in companies leveraging new financial technologies to improve the lives of low- and moderate-income people, communities and small businesses.”

The Fund has a priority focus on investing in fintech startups that are willing to operate out of the new Financial Technology Building on the STAR Campus of the University of Delaware in Newark. Fund support will then seek to spread to companies that may be located throughout the mid-Atlantic region. Companies outside the region are still eligible for funding, but the venture must be focused on materially improving financial health for consumers and small businesses throughout the State of Delaware and/or the surrounding mid-Atlantic region. Any venture focused on improving financial health – regardless of its product or service’s delivery format or specific financial topic addressed – may apply for funding.

By boosting individual startups, the Discover Financial Health Improvement Fund also will bolster Delaware’s entrepreneurial ecosystem. According to Noah Olson, Director of Innovation at statewide economic development organization Delaware Prosperity Partnership, a legacy strength in financial services, coupled with a nurturing environment for business growth, makes Delaware a great place to grow a fintech company.

“Discover, a global company with a major footprint here in Delaware, is leading by example with this new fund,” Olson said. “Adding further investment resources to a growing startup ecosystem will be beneficial for the state, as well as for the portfolio companies who are focused on financial health improvement.”

This is a sponsored article by Irene Galperin, InterSystems

Innovation is at the forefront of every financial institution’s agenda. The days when a household name was enough for a bank, investment manager or lender to win and retain business are fading in the rear-view mirror. Today’s customers are digitally savvy and are more demanding of their financial service providers.

To compete in a world where digitally-native innovators are proving successful at meeting changed customer expectations, financial service firms are expanding their analytical and automation capabilities.

The sophisticated analytics and processes required to provide customer personalization, accelerate the credit approval process, manage risk, and prevent fraud before it happens, are fueled by vast volumes of data with varying degrees of complexity. Robust, high performance data management infrastructure is crucial to advancing such innovation and remaining competitive.

To meet these many demands, a huge investment in technology is underway. Analysts at Gartner forecast global IT spending in banking and investment services will reach $652 billion in 2023 – a staggering amount. Spending on software is shifting from building in-house to buying solutions that provide quicker time-to-value.

Intelligent data management as non-negotiable

Gaining insight from data has become the new battleground in financial services, as organizations know they must make better use of their data to improve business decision-making.

Predictive and prescriptive analytics offer huge gains in responsiveness and efficiency, but before organizations have access to such insights, they must be capable of managing the vast amount of data they have – not all of it their own.

We can see how firms are tackling this in the real world, using a new approach to data architecture, which is the smart data fabric. A smart data fabric prepares data for analysis by connecting to existing sources without the necessity of moving data or creating new silos. InterSystems, for example, enables businesses to use this approach so they can gain a complete 360-degree view of each customer and their business, enabling one reality powered by unified, trusted data.

A smart data fabric pulls disparate types of data together from many sources in real-time, creating a useable, dependable, and trustworthy single source of the truth. This is no mean feat when data is growing exponentially, flowing into different, highly distinct silos, and in very different formats. A smart data fabric enables financial services firms to transform, validate, and prepare data for use by advanced applications using sophisticated analytics.

Superior customer personalization to alleviate difficulties

This kind of revolutionary approach to data is having major impact on one of the largest credit unions in the US, Financial Center First Credit Union (FCFCU). FCFCU has worked with InterSystems to build a powerful Customer 360 application that uses predictive analytics to indicate signs of financial distress. This enables FCFCU to intervene much earlier and more effectively, fulfilling its mandate to support people while building stronger relationships with members. Frontline employees are able to make more decisions themselves, and are spared the need to move between different applications. Following implementation of the new application, the organization had its best lending year, helping members defer payments and refinance loans.

Asset management transformation

Another InterSystems customer, Harris Associates, is an independent asset management firm in the U.S. with more than $100 billion in assets under management as of March, 2023. It has always looked to improve its ability to better manage risk and gain visibility into performance data on demand, using data to serve multiple consumers and use cases. Speed of access to reliable insights is critical. Harris implemented InterSystems TotalView For Asset Management to build a smart data fabric, aggregating data from third-party providers along with the full gamut of internal sources and applications.

The smart data fabric has met the all-important requirements for timeliness and consistency, serving the entire business and its clients. Business users across the firm are now able to make decisions using timely, trustworthy data, with the ability to drill down and get to the answers that matter to them. The whole project has radically improved enterprise and client reporting.

Leading fintech unlocks the value of data

Broadridge Financial Solutions, a $5 billion global fintech leader handling $7 trillion of fixed income and equities securities trades per day, undertook a significant data management transformation to build a wealth management solution and unlock the value of their data. Broadridge embraced the smart data fabric architecture using InterSystems IRIS.

The architecture seamlessly unifies data sources, creating golden source data that is distributed horizontally with a caching layer, all in one high-performance solution, helping Broadridge to gain real-time insights, agility, and operational efficiency.

The new architecture met Broadridge’s need for speed and enabled them to scale to five times current volume, handle two million transactions daily, and store seven years of data. InterSystems IRIS provided a 900% improvement in performance using only 30% of the infrastructure, compared with an alternative approach.

Broadridge’s success story highlights the importance of innovative data solutions in reshaping business strategies. In the digital era, the smart data fabric emerges as pivotal, unlocking data’s full potential for Broadridge and its clients.

InterSystems’ long record of achievement in financial services data excellence

These real-world use cases are just three examples of how better access to trusted data is revolutionizing the effectiveness of financial service firms at competing and operating in the digital age. InterSystems has a long track record of innovation and achievement in this field, and has gained Gartner Magic Quadrant recognition as a visionary for cloud database management systems. This validates the company’s next-generation data platform and innovative smart data services. Composable services remove the need to build custom applications when organizations want to become more competitive.

The ability to gain a complete, accurate view of the enterprise and of individual customers is critical in today’s highly competitive banking sector where new players often have leaner technology and greater agility. But what they do not have is valuable customer data, acquired over many years. For banks to compete, a smart data fabric provides the ability to leverage predictive and prescriptive analytics to ramp up innovation and efficiency. Organizations can gain a 360-degree view of enterprise data across many silos, enabling them to capitalize on their data assets and deliver innovative services in the face of increasing competition.