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• Four Trends Shaping the Future of Analytics in Banking

  27 novembre 2024, par Daniel Crough — Banking and Financial Services

  While retail banking revenues have been growing in recent years, trends like rising financial crimes and capital required for generative AI and ML tech pose significant risks and increase operating costs across the financial industry, according to McKinsey’s State of Retail Banking report.

   

  Today’s financial institutions are focused on harnessing AI and advanced analytics to make their data work for them. To be up to the task, analytics solutions must allow banks to give consumers the convenient, personalised experiences they want while respecting their privacy.

   

  In this article, we’ll explore some of the big trends shaping the future of analytics in banking and finance. We’ll also look at how banks use data and technology to cut costs and personalise customer experiences.
  
  So, let’s get into it.

  

  This doesn’t just represent a security risk, it also impacts the usability for both customers and employees. Does any of the following sound familiar ?

  • Only specific senior employees know how to navigate the software to generate custom reports or use its more advanced features.
  • Customer complaints about your site’s usability or online banking experience are routine.
  • Onboarding employees takes much longer than necessary because of convoluted systems.
  • Teams and departments experience ‘data siloing,’ meaning that not everyone can access the data they need.

  These are warning signs that IT systems are ready for a review. Anyone thinking, “If it’s not broken, why fix it ?” should consider that legacy systems can also present data security risks. As more countries introduce regulations to protect customer privacy, staying ahead of the curve is increasingly important to avoid penalties and litigation.

  And regulations aren’t the only trends impacting the future of financial institutions’ IT and analytics.

  4 trends shaping the future of analytics in banking

  New regulations and new technology have changed the landscape of analytics in banking.

  New privacy regulations impact banks globally

  The first major international example was the advent of GDPR, which went into effect in the EU in 2018. But a lot has happened since. New privacy regulations and restrictions around AI continue to roll out.

  • The European Artificial Intelligence Act (EU AI Act), which was held up as the world’s first comprehensive legislation on AI, took effect on 31 July 2024.
  • In Europe’s federated data initiative, Gaia-X’s planned cloud infrastructure will provide for more secure, transparent, and trustworthy data storage and processing.
  • The revised Payment Services Directive (PSD2) makes payments more secure and strengthens protections for European businesses and consumers, aiming to create a more integrated and efficient payments market.

  But even businesses that don’t have customers in Europe aren’t safe. Consumer privacy is a hot-button issue globally.

  For example, the California Consumer Privacy Act (CCPA), which took effect in January, impacts the financial services industry more than any other. Case in point, 34% of CCPA-related cases filed in 2022 were related to the financial sector.

  California’s privacy regulations were the first in the US, but other states are following closely behind. On 1 July 2024, new privacy laws went into effect in Florida, Oregon, and Texas, giving people more control over their data.

  

  One typical issue for companies in the banking industry is that their privacy measures regarding user data collected from their website are much less lax than those in their online banking system.

  It’s better to proactively invest in a privacy-centric analytics platform before you get tangled up in a lawsuit and have to pay a fine (and are forced to change your system anyway). 

  And regulatory compliance isn’t the only bonus of an ethical analytics solution. The right alternative can unlock key customer insights that can help you improve the user experience.

  The demand for personalised banking services

  At the same time, consumers are expecting a more and more streamlined personal experience from financial institutions. 86% of bank employees say personalisation is a clear priority for the company. But 63% described resources as limited or only available after demonstrating clear business cases.

  McKinsey’s The data and analytics edge in corporate and commercial banking points out how advanced analytics are empowering frontline bank employees to give customers more personalised experiences at every stage :

  • Pre-meeting/meeting prep : Using advanced analytics to assess customer potential, recommend products, and identify prospects who are most likely to convert
  • Meetings/negotiation : Applying advanced models to support price negotiations, what-if scenarios and price multiple products simultaneously
  • Post-meeting/tracking : Using advanced models to identify behaviours that lead to high performance and improve forecast accuracy and sales execution

  Today’s banks must deliver the personalisation that drives customer satisfaction and engagement to outperform their competitors.

  The rise of AI and its role in banking

  With AI and machine learning technologies becoming more powerful and accessible, financial institutions around the world are already reaping the rewards.

  McKinsey estimates that AI in banking could add $200 to 340 billion annually across the global banking sector through productivity gains.

  • Credit card fraud prevention : Algorithms analyse usage to flag and block fraudulent transactions.
  • More accurate forecasting : AI-based tools can analyse a broader spectrum of data points and forecast more accurately.
  • Better risk assessment and modelling : More advanced analytics and predictive models help avoid extending credit to high-risk customers.
  • Predictive analytics : Help spot clients most likely to churn 
  • Gen-AI assistants : Instantly analyse customer profiles and apply predictive models to suggest the next best actions.

  Considering these market trends, let’s discuss how you can move your bank into the future.

  Using analytics to minimise risk and establish a competitive edge 

  With the right approach, you can leverage analytics and AI to help future-proof your bank against changing customer expectations, increased fraud, and new regulations.

  Use machine learning to prevent fraud

  Every year, more consumers are victims of credit and debit card fraud. Debit card skimming cases nearly doubled in the US in 2023. The last thing you want as a bank is to put your customer in a situation where a criminal has spent their money.

  This not only leads to a horrible customer experience but also creates a lot of internal work and additional costs.Thankfully, machine learning can help identify suspicious activity and stop transactions before they go through. For example, Mastercard’s fraud prevention model has improved fraud detection rates by 20–300%.

  

  Implementing a solution like this (or partnering with credit card companies who use it) may be a way to reduce risk and improve customer trust.

  Foresee and avoid future issues with AI-powered risk management

  Regardless of what type of financial products organisations offer, AI can be an enormous tool. Here are just a few ways in which it can mitigate financial risk in the future :

  • Predictive analytics can evaluate risk exposure and allow for more informed decisions about whether to approve commercial loan applications.
  • With better credit risk modelling, banks can avoid extending personal loans to customers most likely to default.
  • Investment banks (or individual traders or financial analysts) can use AI- and ML-based systems to monitor market and trading activity more effectively.

  Those are just a few examples that barely scratch the surface. Many other AI-based applications and analytics use cases exist across all industries and market segments.

  Protect customer privacy while still getting detailed analytics

  New regulations and increasing consumer privacy concerns don’t mean banks and financial institutions should forego website analytics altogether. Its insights into performance and customer behaviour are simply too valuable. And without customer interaction data, you’ll only know something’s wrong if someone complains.

  Fortunately, it doesn’t have to be one or the other. The right financial analytics solution can give you the data and insights needed without compromising privacy while complying with regulations like GDPR and CCPA.

  That way, you can track usage patterns and improve site performance and content quality based on accurate data — without compromising privacy. Reliable, precise analytics are crucial for any bank that’s serious about user experience.

  Use A/B testing and other tools to improve digital customer experiences

  Personalised digital experiences can be key differentiators in banking and finance when done well. But there’s stiff competition. In 2023, 40% of bank customers rated their bank’s online and mobile experience as excellent. 

  Improving digital experiences for users while respecting their privacy means going above and beyond a basic web analytics tool like Google Analytics. Invest in a platform with features like A/B tests and user session analysis for deeper insights into user behaviour.

  

  Behavioural analytics are crucial to understanding customer interactions. By identifying points of friction and drop-off points, you can make digital experiences smoother and more engaging.

  Matomo offers all this and is a great GDPR-compliant alternative to Google Analytics for banks and financial institutions. 

  Of course, this can be challenging. This is why taking an ethical and privacy-centric approach to analytics can be a key competitive edge for banks. Prioritising data security and privacy will attract other like-minded, ethically conscious consumers and boost customer loyalty.

  Get privacy-friendly web analytics suitable for banking & finance with Matomo

  Improving digital experiences for today’s customers requires a solid web analytics platform that prioritises data privacy and accurate analytics. And choosing the wrong one could even mean ending up in legal trouble or scrambling to reconstruct your entire analytics setup.

  Matomo provides privacy-friendly analytics with 100% data accuracy (no sampling), advanced privacy controls and the ability to run A/B tests and user session analysis within the same platform (limiting risk and minimising costs). 

  It’s easy to get started with Matomo. Users can access clear, easy-to-understand metrics and plenty of pre-made reports that deliver valuable insights from day one. Form usage reports can help banks and fintechs identify potential issues with broken links or technical glitches and reveal clues on improving UX in the short term.

  Over one million websites, including some of the world’s top banks and financial institutions, use Matomo for their analytics.

  Start your 21-day free trial to see why, or book a demo with one of our analytics experts.

• Overcoming Fintech and Finserv’s Biggest Data Analytics Challenges

  13 septembre 2024, par Daniel Crough — Banking and Financial Services, Marketing, Security

  Data powers innovation in financial technology (fintech), from personalized banking services to advanced fraud detection systems. Industry leaders recognize the value of strong security measures and customer privacy. A recent survey highlights this focus, with 72% of finance Chief Risk Officers identifying cybersecurity as their primary concern.

  Beyond cybersecurity, fintech and financial services (finserv) companies are bogged down with massive amounts of data spread throughout disconnected systems. Between this, a complex regulatory landscape and an increasingly tech-savvy and sceptical consumer base, fintech and finserv companies have a lot on their plates.

  How can marketing teams get the information they need while staying focused on compliance and providing customer value ? 

  This article will examine strategies to address common challenges in the finserv and fintech industries. We’ll focus on using appropriate tools, following effective data management practices, and learning from traditional banks’ approaches to similar issues.

  What are the biggest fintech data analytics challenges, and how do they intersect with traditional banking ?

  Recent years have been tough for the fintech industry, especially after the pandemic. This period has brought new hurdles in data analysis and made existing ones more complex. As the market stabilises, both fintech and finserve companies must tackle these evolving data issues.

  Let’s examine some of the most significant data analytics challenges facing the fintech industry, starting with an issue that’s prevalent across the financial sector :

  1. Battling data silos

  In a recent survey by InterSystems, 54% of financial institution leaders said data silos are their biggest barrier to innovation, while 62% said removing silos is their priority data strategy for the next year.

  

  Data silos segregate data repositories across departments, products and other divisions. This is a major issue in traditional banking and something fintech companies should avoid inheriting at all costs.

  Siloed data makes it harder for decision-makers to view business performance with 360-degree clarity. It’s also expensive to maintain and operationalise and can evolve into privacy and data compliance issues if left unchecked.

  To avoid or remove data silos, develop a data governance framework and centralise your data repositories. Next, simplify your analytics stack into as few integrated tools as possible because complex tech stacks are one of the leading causes of data silos.

  Use an analytics system like Matomo that incorporates web analytics, marketing attribution and CRO testing into one toolkit.

  

  Matomo’s support plans help you implement a data system to meet the unique needs of your business and avoid issues like data silos. We also offer data warehouse exporting as a feature to bring all of your web analytics, customer data, support data, etc., into one centralised location.

  Try Matomo for free today, or contact our sales team to discuss support plans.

  2. Compliance with laws and regulations

  A survey by Alloy reveals that 93% of fintech companies find it difficult to meet compliance regulations. The cost of staying compliant tops their list of worries (23%), outranking even the financial hit from fraud (21%) – and this in a year marked by cyber threats.

  

  Data privacy laws are constantly changing, and the landscape varies across global regions, making adherence even more challenging for fintechs and traditional banks operating in multiple markets. 

  In the US market, companies grapple with regulations at both federal and state levels. Here are some of the state-level legislation coming into effect for 2024-2026 :

  • Oregon – Oregon Consumer Privacy Act (July 1, 2024)
  • Florida – Florida Digital Bill of Rights (July 1, 2024)
  • Texas – Texas Data Privacy and Security Act (July 1, 2024)
  • Montana – Montana Consumer Data Privacy Act (October 1, 2024)
  • Delaware – Delaware Personal Privacy Act (January 1, 2025)
  • Iowa – Iowa Consumer Data Protection Act (January 1, 2025)
  • New Jersey – SB 332 (January 15, 2025)
  • Tennessee – Tennessee Information Protection Act (July 1, 2025)
  • Indiana – Indiana Consumer Data Protection Act ( January 1, 2026)

  Other countries are also ramping up regional regulations. For instance, Canada has Quebec’s Act Respecting the Protection of Personal Information in the Private Sector and British Columbia’s Personal Information Protection Act (BC PIPA).

  Ignorance of country- or region-specific laws will not stop companies from suffering the consequences of violating them.

  The only answer is to invest in adherence and manage business growth accordingly. Ultimately, compliance is more affordable than non-compliance – not only in terms of the potential fines but also the potential risks to reputation, consumer trust and customer loyalty.

  This is an expensive lesson that fintech and traditional financial companies have had to learn together. GDPR regulators hit CaixaBank S.A, one of Spain’s largest banks, with multiple multi-million Euro fines, and Klarna Bank AB, a popular Swedish fintech company, for €720,000.

  To avoid similar fates, companies should :

  1. Build solid data systems
  2. Hire compliance experts
  3. Train their teams thoroughly
  4. Choose data analytics tools carefully

  Remember, even popular tools like Google Analytics aren’t automatically safe. Find out how Matomo helps you gather useful insights while sticking to rules like GDPR.

  3. Protecting against data security threats

  Cyber threats are increasing in volume and sophistication, with the financial sector becoming the most breached in 2023.

  

  The cybersecurity risks will only worsen, with WEF estimating annual cybercrime expenses of up to USD $10.5 trillion globally by 2025, up from USD $3 trillion in 2015.

  While technology brings new security solutions, it also amplifies existing risks and creates new ones. A 2024 McKinsey report warns that the risk of data breaches will continue to increase as the financial industry increasingly relies on third-party data tools and cloud computing services unless they simultaneously improve their security posture.

  The reality is that adopting a third-party data system without taking the proper precautions means adopting its security vulnerabilities.

  In 2023, the MOVEit data breach affected companies worldwide, including financial institutions using its file transfer system. One hack created a global data crisis, potentially affecting the customer data of every company using this one software product.

  The McKinsey report emphasises choosing tools wisely. Why ? Because when customer data is compromised, it’s your company that takes the heat, not the tool provider. As the report states :

  “Companies need reliable, insightful metrics and reporting (such as security compliance, risk metrics and vulnerability tracking) to prove to regulators the health of their security capabilities and to manage those capabilities.”

  Don’t put user or customer data in the hands of companies you can’t trust. Work with providers that care about security as much as you do. With Matomo, you own all of your data, ensuring it’s never used for unknown purposes.

  

  4. Protecting users’ privacy

  With security threats increasing, fintech companies and traditional banks must prioritise user privacy protection. Users are also increasingly aware of privacy threats and ready to walk away from companies that lose their trust.

  Cisco’s 2023 Data Privacy Benchmark Study reveals some eye-opening statistics :

  • 94% of companies said their customers wouldn’t buy from them if their data wasn’t protected, and 
  • 95% see privacy as a business necessity, not just a legal requirement.

  Modern financial companies must balance data collection and management with increasing privacy demands. This may sound contradictory for companies reliant on dated practices like third-party cookies, but they need to learn to thrive in a cookieless web as customers move to banks and service providers that have strong data ethics.

  This privacy protection journey starts with implementing web analytics ethically from the very first session.

  

  The most important elements of ethically-sound web analytics in fintech are :

  1. 100% data ownership : Make sure your data isn’t used in other ways by the tools that collect it.
  2. Respecting user privacy : Only collect the data you absolutely need to do your job and avoid personally identifiable information.
  3. Regulatory compliance : Stick with solutions built for compliance to stay out of legal trouble.
  4. Data transparency : Know how your tools use your data and let your customers know how you use it.

  Read our guide to ethical web analytics for more information.

  5. Comparing customer trust across industries 

  While fintech companies are making waves in the financial world, they’re still playing catch-up when it comes to earning customer trust. According to RFI Global, fintech has a consumer trust score of 5.8/10 in 2024, while traditional banking scores 7.6/10.

  

  This trust gap isn’t just about perception – it’s rooted in real issues :

  • Security breaches are making headlines more often.
  • Privacy regulations like GDPR are making consumers more aware of their rights.
  • Some fintech companies are struggling to handle fraud effectively.

  According to the UK’s Payment Systems Regulator, digital banking brands Monzo and Starling had some of the highest fraudulent activity rates in 2022. Yet, Monzo only reimbursed 6% of customers who reported suspicious transactions, compared to 70% for NatWest and 91% for Nationwide.

  So, what can fintech firms do to close this trust gap ?

  • Start with privacy-centric analytics from day one. This shows customers you value their privacy from the get-go.
  • Build and maintain a long-term reputation free of data leaks and privacy issues. One major breach can undo years of trust-building.
  • Learn from traditional banks when it comes to handling issues like fraudulent transactions, identity theft, and data breaches. Prompt, customer-friendly resolutions go a long way.
  • Remember : cutting-edge financial technology doesn’t make up for poor customer care. If your digital bank won’t refund customers who’ve fallen victim to credit card fraud, they’ll likely switch to a traditional bank that will.

  The fintech sector has made strides in innovation, but there’s still work to do in establishing trustworthiness. By focusing on robust security, transparent practices, and excellent customer service, fintech companies can bridge the trust gap and compete more effectively with traditional banks.

  6. Collecting quality data

  Adhering to data privacy regulations, protecting user data and implementing ethical analytics raises another challenge. How can companies do all of these things and still collect reliable, quality data ?

  Google’s answer is using predictive models, but this replaces real data with calculations and guesswork. The worst part is that Google Analytics doesn’t even let you use all of the data you collect in the first place. Instead, it uses something called data sampling once you pass certain thresholds.

  In practice, this means that Google Analytics uses a limited set of your data to calculate reports. We’ve discussed GA4 data sampling at length before, but there are two key problems for companies here :

  1. A sample size that’s too small won’t give you a full representation of your data.
  2. The more visitors that come to your site, the less accurate your reports will become.

  For high-growth companies, data sampling simply can’t keep up. Financial marketers widely recognise the shortcomings of big tech analytics providers. In fact, 80% of them say they’re concerned about data bias from major providers like Google and Meta affecting valuable insights.

  This is precisely why CRO:NYX Digital approached us after discovering Google Analytics wasn’t providing accurate campaign data. We set up an analytics system to suit the company’s needs and tested it alongside Google Analytics for multiple campaigns. In one instance, Google Analytics failed to register 6,837 users in a single day, approximately 9.8% of the total tracked by Matomo.

  In another instance, Google Analytics only tracked 600 visitors over 24 hours, while Matomo recorded nearly 71,000 visitors – an 11,700% discrepancy.

  

  Financial companies need a more reliable, privacy-centric alternative to Google Analytics that captures quality data without putting users at potential risk. This is why we built Matomo and why our customers love having total control and visibility of their data.

  Unlock the full power of fintech data analytics with Matomo

  Fintech companies face many data-related challenges, so compliant web analytics shouldn’t be one of them. 

  With Matomo, you get :

  • An all-in-one solution that handles traditional web analytics, behavioural analytics and more with strong integrations to minimise the likelihood of data siloing
  • Full compliance with GDPR, CCPA, PIPL and more
  • Complete ownership of your data to minimise cybersecurity risks caused by negligent third parties
  • An abundance of ways to protect customer privacy, like IP address anonymisation and respect for DoNotTrack settings
  • The ability to import data from Google Analytics and distance yourself from big tech
  • High-quality data that doesn’t rely on sampling
  • A tool built with financial analytics in mind

  Don’t let big tech companies limit the power of your data with sketchy privacy policies and counterintuitive systems like data sampling. 

  Start your Matomo free trial or request a demo to unlock the full power of fintech data analytics without putting your customers’ personal information at unnecessary risk.

• Fintech Content Marketing : 10 Best Practices & Growth Strategies

  24 juillet 2024, par Erin

  Content marketing is an effective strategy for growth and building trust. This is especially true in the fintech industry, where competition is intense and trust is crucial. Content marketing helps you strengthen customer relationships, engage your audience, and differentiate yourself from competitors.

  To get the most out of your fintech content marketing, you need to develop the right strategy.

  In this guide, we’ll cover everything you need to know about content marketing for fintech companies so you can expand your reach and grow your business.

  What is fintech content marketing ?

  Fintech content marketing is creating content around financial topics on the internet to attract, engage, and convert audiences.

  Fintech companies can use a content strategy to drive leads by creating educational content.

  

  While financial content is important, it’s easy for it to feel boring, unrelatable, or confusing. But, when done right, fintech companies can educate their audiences with great content marketing that helps their audience understand financial topics in-depth.

  Fintech companies can create written, audio, or video content to inform their audiences about financial topics they’re interested in.

  From there, each piece of content can then be distributed to different mediums :

  • Blogs
  • Website
  • Facebook
  • YouTube
  • Instagram
  • Other websites
  • Apps
  • And more

  Once content is distributed, fintech companies can then analyse how effective the content is by tracking web analytics data like search engine traffic, social media engagement, and new customers.

  7 reasons fintech companies need content marketing

  Before we dive into fintech content marketing best practices, let’s recap why fintech companies need to lean into content to grow their business.

  Here are seven reasons your financial company needs to deploy a robust content strategy :

  

  1. Reach new audiences

  If you want to grow your fintech company, you need to find new customers. Creating content is a proven path to marketing yourself online and attracting a larger audience.

  By using search engine optimisation (SEO), social media marketing, and YouTube, you can expand your audience and grow your customer base.

  With content marketing, you can find new audiences without needing a massive budget, making scaling easier.

  2. Engage current audience

  While content can be a powerful method to reach new customers, it isn’t the only thing it’s good for.

  If you want to grow your business, another way to leverage your content is to keep your current audience engaged.

  You can create financial content to educate, inform, and add value to your current audience who already knows you. Repurposing content between the different platforms your audience is on keeps them engaged with you and your brand.

  It’s a simple way to capture and keep the attention of your audience, build trust, and convert more prospects into customers.

  3. Build relationships with customers

  You should leverage content marketing in various spaces, such as social media, your website, a blog, or even YouTube. Creating content on different channels allows you to build relationships with your customers on autopilot.

  The general rule in marketing is that the more touch points you have with your customers, the more you’ll sell. Creating more content means you always have new opportunities to increase those touchpoints, build deeper relationships, and sell more.

  4. Grow authority in a space

  If you want people to trust you and your financial tech, you need to be seen as an authority. How can someone trust that your app or web platform will help them with their finances if they don’t trust you’re a financial expert ?

  You should use informative content to become a thought leader in your space. You can post content on social media or your own platforms.

  You can also spread your authority by leveraging other brands’ or influencers’ audiences through guest blog posting and guest podcasting.

  5. Drive new leads

  Content marketing isn’t just a fun hobby for businesses. It’s one of the smartest ways to drive new leads.

  You should be crafting content for your top-of-funnel marketing strategy to attract potential customers.

  Creating content consistently is a great way to bring in new audience members into your funnel.

  Once you grow your top-of-funnel audience, you can convert them into leads by getting them to join your email list or trial your financial software.

  One tip to get more out of your content strategy is creating evergreen content to continually drive leads. For example, create “set-it-and-forget it” blog posts or YouTube videos that will continue working for you daily to attract new audience members searching for helpful financial information. Then, provide a call to action on that content to join your email list (by leveraging a lead magnet).

  6. Convert prospects to customers

  When you have a continual flow of new top-of-funnel prospects, you always have a fresh cycle of prospects you can convert into customers.

  Content is primarily used to attract new audience members and engage your current audience at the top of your funnel. But it can also be used to convert your audience into customers.

  Try mixing up your content types to drive conversions :

  • Educational
  • Entertaining
  • Promotional

  Don’t just show off educational content.

  You should also mix in “authority” content by displaying case studies of user success stories and calling to action to sign up for a free trial or request a demo.

  7. Lower Customer Acquisition Cost (CAC)

  On the business side, if you want a marketing strategy that will keep expenses low long term, you’ll want to invest more in content.

  Content marketing has a great return on investment (ROI) for your time and effort.

  Why ?

  Because the customer acquisition costs (CAC) are so low.

  You can create content that can bring in leads for months if not years.

  If you only use Google or Facebook ads to drive new leads, you always have to “pay-to-play.” When you turn the advertising tap off, your leads dry up.

  But, with blogs and videos, you can create content that can bring in organic customers on repeat. It’s like a snowball effect that keeps going long after you’ve completed the initial work.

  10 fintech content marketing best practices

  Here are ten best practices to establish a strong content marketing strategy as a fintech company :

  

  1. Set SMART goals

  A good content strategy starts with goal-setting. You’ll never get there if you don’t know where you’re going.

  To make sure your fintech content marketing strategy is a success, you need to set SMART goals :

  • Specific
  • Measurable
  • Achievable
  • Relevant
  • Time-bound

  For example, you might set a goal to reach 20,000 blog visits in one year and convert blog visits at a rate of 3%.

  Setting clear content goals will streamline operations, so you stay consistent and get the most out of your efforts.

  3. Be transparent

  Transparency is crucial for fintech companies, as they handle sensitive financial data and, in many cases, monetary transactions.

  It’s essential for you to be open and clear about your products, services, and data practices. By being honest about privacy and security measures, fintechs can build and maintain trust with their customers.

  This transparency not only helps in establishing credibility but also ensures customers feel confident about how their financial information is managed and protected.

  

  4. Take an education-first approach

  Content isn’t just about “hooking” or entertaining your audience. That’s just one aspect of a content strategy.

  The best approach to building authority and converting leads from your content is to take an education-first approach.

  Remember above, when we touched on understanding your ICP ? You need to know your ICP’s interests and pain points inside and out and then map your product’s strengths to those that are relevant.

  Always start with your ICP, then build the content strategy around them based on your product.

  Find connections and identify how your product can address the ICP’s interests and pain points.

  For example, let’s say your ICPs are Gen Z consumers. They’re interested in independence and saving for future goals. Their pain points might include lack of investment knowledge and managing student debts and other loans.

  Let’s say your product is a personal finance app. Some of your benefits might be budget tracking and beginner-friendly investment options. You could create a content strategy around budgeting in your 20s and investing for beginners.

  Content strategies will vary widely based on your ICP. For instance, content for a fintech company targeting those approaching retirement will need a different focus compared to that aimed at younger consumers.

  Remember : practical, step-by-step, value-driven content performs best regarding conversions.

  5. Leverage the right tools

  If you’re going to succeed with content, you need to lean on the right tools.

  Here are a few types of tools you should consider (and recommendations) :

  • Project management (i.e., Asana)
  • Content management system (i.e., WordPress)
  • Content scheduling (i.e., Hootsuite)
  • Design (i.e., Canva)
  • SEO (i.e., Ahrefs)
  • Web analytics (i.e., Matomo)

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  6. Promote your content on different platforms

  You’ll want to promote your fintech content marketing strategy on different channels and platforms to get the most out of your fintech content marketing strategy.

  Start with one core platform before you pick a few platforms to promote your content. You should leverage at least one social media platform.

  Then, create a blog and an email newsletter to ensure you create multiple touchpoints.

  Here are some tips on how to pick the right platform :

  • Consider age range (i.e. TikTok for a younger audience, Facebook for an older audience)
  • Consider your preferred content type (YouTube for long-form video, X for short-form written content
  • Consider your competition (i.e. go where competitive fintech companies already are)

  7. Track results 

  How do you know if you’re on pace to reach the SMART goals you set earlier ?

  By tracking your results. 

  You should dive into your data regularly to ensure your content is working. Make sure to track social media, email marketing, and web results.

  Keep a close eye on your website KPIs and track your conversions to ensure a return on investment (ROI). For more detailed guidance on monitoring your website’s performance, check out our blog on how to check website traffic as accurately as possible.

  Remember, a data-driven approach is the best way to stay on track with your content goals.

  8. Establish a content leader

  Your content marketing needs a leader. You should establish someone on your marketing team to oversee your content plan. 

  They should ensure they collaborate well with different teams, understand social media and SEO, and know how to manage projects.

  Most of all, don’t forget that they’re in charge of tracking your data and reporting to higher-ups, so they should be comfortable with web analytics and know how to track performance well.

  9. Optimise for SEO

  It’s not enough to create a weekly blog post. You could craft the most valuable content on your website, but nobody will find it online if it isn’t optimised for SEO.

  Your content leader should analyse SEO data using a tool like Ahrefs or SEMrush to analyse different keywords to target in your content. 

  A web analytics tool like Matomo can then be used to track results. Matomo offers traditional web analytics, including pageviews, bounce rate, and sources of traffic, alongside features like heatmaps, session recordings, and A/B testing.

  These advanced features provide deeper insights into how users interact with your site and content, helping you pinpoint areas for improvement. Improving the user experience based on these insights can then positively impact your Google rankings.

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  10. Stay compliant

  Fintech is a highly regulated industry. Keeping this in mind, you need to ensure you take the necessary steps to ensure you remain compliant with all applicable laws and regulations.

  Non-compliance can result in severe penalties.

  Given these high standards, it’s crucial to ensure that user data remains private and secure. Matomo helps with this by providing a compliant web analytics solution that respects user privacy. With Matomo, you can confidently manage compliance and build trust with your customers while also reliably tracking the performance of your content marketing.

  

  Drive your content marketing strategy with Matomo

  Leaning into content marketing can be one of the best ways your fintech company can attract, engage, convert, and retain your audience.

  By creating high-quality content for your audience on social media, YouTube, and your website, you can establish your brand as an authority to grow your business for years to come.

  But remember, you need to make sure you’re only using privacy-friendly, compliant tools to protect your audience’s data.

  Thankfully, Matomo has you covered.

  As a privacy-friendly web analytics tool, Matomo ensures that your website data is tracked and stored in compliance with privacy laws.

  Trusted by over 1 million websites, it offers reliable data without sampling, guaranteeing accuracy. Matomo is designed to be fully compliant with privacy regulations such as GDPR and CCPA, while also providing advanced features like heatmaps, session recordings, and A/B testing to help you track and enhance your website’s performance.

  Request a demo to see how Matomo can benefit your fintech business now.

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