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• 7 Best Marketing Attribution Software in 2024

  22 février 2024, par Erin

  It can be hard to accurately track the impact of your marketing efforts across marketing channels and campaigns. That’s where marketing attribution software comes in. 

  It goes beyond basic web analytics solutions that just look at the final click. Instead, it shows how different channels, content, and ads are performing at every step of the buyer’s journey, which gives a more accurate picture than just focusing on the last click.

  In this guide, we’ll cover the basics of marketing attribution, list the top marketing attribution software and explain how the issue of privacy is transforming the web analytics industry.

  What is marketing attribution ?

  Marketing attribution is the process of assigning credit to each touchpoint in a buyer’s journey that leads to a desired action (such as a conversion or sale) in order to understand the effectiveness of various marketing channels and campaigns in influencing the customer’s decision-making process.

  Marketers use software tools like website analytics to to track and analyse customer interactions across different touchpoints, allowing them to attribute conversions or sales to specific marketing efforts and optimise their strategies and budgets accordingly.

  Why is marketing attribution so important ?

  If you don’t track your campaigns correctly, it’s easy to spend thousands (or even millions) in an ineffective way. A 2022 survey by Australian marketing agency Next&Co revealed their clients wasted AU$5.46 billion in ineffective ad spend.

  

  That’s 41% of all the ad spend tracked by Next&Co in 2022. A wasted marketing spend percentage this high isn’t exactly a recipe for a high marketing return on investment (ROI). And yet, it’s the average.

  Why is that ? 

  Most companies don’t actively track the results of their marketing campaigns actively enough.

  By improving your marketing attribution, you can determine which channels, ads, and campaigns work and which don’t. Then, you can move the budget from ineffective channels to effective ones.

  Even if you can only identify half of your wastage, this could be 20% or more of your total spend. Just imagine what your bottom line would look like if your marketing budget were 20% more effective.

  That’s the power that marketing attribution, when done right, brings to the table. It’s the road to a higher marketing ROI.

  Common marketing attribution models and how they’re different 

  The default model for attributing completed goals in most analytics tools is either the last interaction or the last non-direct interaction.

  However, some multi-touch models can help you get a more holistic view of the impact of your marketing efforts.

  

  • Last interaction model : attributes the conversion to the final interaction or referring source (campaign or ad).
  • Last non-direct interaction model : attributes the conversion to the final touchpoint that was not a direct visit to your website. (For example, if a search ad took them to a product page, the user bookmarked it and returned directly the next day to finish the purchase. The credit would go to the search ad as it’s the last non-direct touchpoint.)
  • First interaction model : attributes the conversion to the first referring event alone.
  • Linear model : gives equal value to every touchpoint throughout the customer journey. 
  • Time decay model : gives more value to touchpoints the closer they were to the actual sale.
  • Position-based model : gives more value to the first and last touchpoints — often 40% each, while splitting 20% among the rest.

  You can read our guide dedicated to marketing attribution models for more details on these models.

  Types of marketing attribution software and the impact of privacy regulations

  Until recently, digital advertising was the “scientific” advertisers’ utopia. Everything could be measured, with cookies from giants like Google and Facebook stalking every user across the web.

  But with the advent of regulations like GDPR and the CCPA, you can no longer blindly trust Google Analytics or the Meta Pixel without consequences.

  Multi-channel attribution tools with third-party cookies and GDPR

  Google, Meta, and other companies used to track and combine user data from their own platforms and websites across the web that installed their tags. These third-party cookies have long been under fire and have caused several GDPR fines.

  

  The alternative : analytics platforms with first-party cookies

  In a post-GDPR digital marketing landscape, a compliant-by-default web analytics platform like Matomo is a more reliable and accurate alternative.

  Plus, with a platform like Matomo, you don’t need to rely on data from digital advertising platforms like Facebook Ads and Google Ads. You can accurately track referral sources using our campaign tracking parameters.

  7 best marketing attribution software in 2024

  Below is the list of our favourite marketing attribution tools in 2024. If you find and use one that suits your needs correctly, you can quickly boost your marketing performance.

  1. Matomo — Accurate and easiest to set up for marketing attribution

  Matomo is a privacy-friendly web analytics suite that empowers you to accurately attribute marketing efforts and gain valuable insights while prioritising user privacy and compliance.

  Matomo integrates with e-commerce platforms like WooCommerce and Magenta. That makes it easy for B2C marketing teams to track the revenue impact of their campaigns.

  

  You can also compare a variety of attribution models against each other. B2B teams can use our API to integrate Matomo with their CRM.

  Pros :

  • Relies on first-party cookies for tracking, ensuring accurate data collection and attribution of user actions
  • Includes additional features like Heatmaps, Session Recordings, Form Analytics, A/B Testing, and more
  • Easy to set up and use
  • Features most common multi-touch attribution models

  Cons :

  • Limited to owned channels (website and e-commerce store) due to first-party cookies and data (but you can integrate other data sources through a CRM)

  Pricing

  The self-hosted version is free. The cloud hosted version starts at $19 per month and includes a 21-day free trial. No credit card requierd. 

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

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  2. WhatConverts — Great option for leads-based businesses with high ad spend

  WhatConverts is a marketing attribution tool with a focus on lead tracking. With most web analytics setups, it adds call and text tracking to the typical form-only tracking.

  

  Pros :

  • Reliable call and text tracking
  • Revenue attribution to specific leads (and, by extension, campaigns and ads)

  Cons :

  • Focused exclusively on leads — little utility for e-commerce companies 

  Pricing

  The cheapest plan starts at $30/month but does not include analytics integrations or form tracking. To access this and advanced flow tracking and attribution features, you need the Elite plan, which starts at $160/month.

  3. HubSpot Marketing Hub — Ideal CRM for larger B2B companies

  HubSpot is a marketing CRM with attribution features for tracking and analysis.

  

  The platform is very broad — encompassing CRM, email automation and other tools — which makes it challenging to use effectively. The price tag is also quite steep for smaller companies and marketing teams.

  Pros :

  • Concretely tracks revenue to multiple different touchpoints and marketing channels
  • Includes several different multi-touch attribution models
  • Allows offline conversion tracking

  Cons :

  • The price point is too high for smaller teams
  • Cam be difficult to set up effectively

  Pricing

  Since marketing attribution is only included in HubSpot Marketing Hub’s Professional and Enterprise plans, pricing starts at $800/month (paid annually). If you commit for a year but pay monthly, the price is $890/month for the professional plan. This goes up with additional add-ons and as your contacts increase as well. 

  4. ActiveCampaign — Good CRM option for small B2B companies

  ActiveCampaign is a CRM and marketing automation platform that can help you trace leads and revenue back to their source.

  

  Although it has a similar scope of features to HubSpot, it is more affordable and slightly easier to use for beginners.

  Pros :

  • Tracks sales revenue back to specific marketing touchpoints
  • Powerful marketing automation features

  Cons :

  • B2B companies may need to purchase two plans, one ActiveCampaign marketing and one CRM.

  Pricing

  Unlike HubSpot, ActiveCampaign offers a much more affordable plan, starting at $29/month billed annually (for up to 1,000 contacts). The marketing and sales CRM bundle starts at $93/month with up to five users.

  5. Salesforce Data Cloud for Marketing — Ideal CRM for enterprises

  Salesforce is a robust and feature-rich CRM that many enterprises rely on for their sales teams.

  

  That makes Salesforce’s marketing attribution platform a logical choice for existing Salesforce users.

  Pros :

  • Uses prospect and sales data from CRM to attribute revenue
  • Revenue prediction analytics
  • Lead scoring to help your sales team focus on high-value leads

  Cons :

  • Difficult to set up and use
  • Clunky and aged user interface
  • Relatively high price point

  Pricing

  The limited Marketing Cloud Account Engagement Growth plan starts at $1,250/month, billed annually. To access advanced cross-channel journeys, you need the Pro plan, which starts at $2,750 monthly.

  6. Terminus — Great for account-based marketing

  If your marketing team uses an account-based marketing (ABM) approach, Terminus might be the right option for you.

  

  It offers ABM tools like target account event tracking and revenue attribution tools for your marketing campaigns.

  Pros :

  • Advanced multi-channel revenue attribution tools with a wide range of reports
  • Track intent touchpoints back to target accounts
  • Reliable revenue predictions help you focus your marketing activities

  Cons :

  • Complex and difficult to set up, understand and use effectively
  • Lacks native integrations with many common advertising platforms and analytics tools

  Pricing

  Terminus offers no standard pricing plans. You must contact their sales team for a custom quote based on your needs.

  7. Adobe Analytics — An analytics for enterprises

  Adobe Analytics is part of the Adobe Experience Cloud, with plenty of big data analysis tools for enterprises. Although the platform is quite powerful, it is equally complex and difficult to use. The price point is also prohibitive for many smaller companies.

  

  Pros :

  • Very extensive reporting tools
  • Predictive analytics give you solid leading indicator for future campaign performance
  • Track multiple digital touchpoints across the entire customer journey

  Cons :

  • Like Google Analytics, Adobe Analytics aggregates your visitor data by default, making compliant “consent-free tracking” — tracking user actions without asking for consent — impossible according to GDPR. (See more differences in Matomo’s comparison against Adobe Analytics and Google Analytics.)
  • Prohibitively expensive for most smaller companies
  • Very steep learning curve for setting up and using it correctly

  Pricing

  Adobe Analytics uses usage-based pricing — which means they adjust the pricing based on the traffic volume to your website. Still, their lower price points aren’t exactly SMB-friendly — multiple sources put Adobe’s lowest starting price point at $2,000–2,500 per month.

  Get accurate marketing attribution with Matomo (without privacy concerns)

  Matomo allows you to do marketing attribution effectively and accurately without compromising your users’ privacy. By default, we only use first-party cookies and offer consent-free tracking – meaning no more annoying cookie consent banners (excluding in Germany and the UK).

  If you want to boost your marketing performance without disregarding your users’ privacy, get started with our 21-day free trial. No credit card required. It’s time to make more informed decisions about your marketing campaigns.

  Try Matomo for Free

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• 10 Key Google Analytics Limitations You Should Be Aware Of

  9 mai 2022, par Erin

  Google Analytics (GA) is the biggest player in the web analytics space. But is it as “universal” as its brand name suggests ?
  

  Over the years users have pointed out a number of major Google Analytics limitations. Many of these are even more visible in Google Analytics 4. 

  Introduced in 2020, Google Analytics 4 (GA4) has been sceptically received. As the sunset date of 1st, July 2023 for the current version, Google Universal Analytics (UA), approaches, the dismay grows stronger.

  To the point where people are pleading with others to intervene : 

  

  Main limitations of Google Analytics

  Google Analytics 4 is advertised as a more privacy-centred, comprehensive and “intelligent” web analytics platform. 

  According to Google, the newest version touts : 

  • Machine learning at its core provides better segmentation and fast-track access to granular insights 
  • Privacy-by-design controls, addressing restrictions on cookies and new regulatory demands 
  • More complete understanding of customer journeys across channels and devices 

  Some of these claims hold true. Others crumble upon a deeper investigation. Newly advertised Google Analytics capabilities such as ‘custom events’, ‘predictive insights’ and ‘privacy consent mode’ only have marginal improvements. 

  Complex setup, poor UI and lack of support with migration also leave many other users frustrated with GA4. 

  

  Let’s unpack all the current (and legacy) limitations of Google Analytics you should account for. 

  1. No Historical Data Imports 

  Google rushed users to migrate from Universal Analytics to Google Analytics 4. But they overlooked one important precondition — backwards compatibility. 

  You have no way to import data from Google Universal Analytics to Google Analytics 4. 

  Historical records are essential for analysing growth trends and creating benchmarks for new marketing campaigns. Effectively, you are cut short from past insights — and forced to start strategising from scratch. 

  At present, Google offers two feeble solutions : 

  • Run data collection in parallel and have separate reporting for GA4 and UA until the latter is shut down. Then your UA records are gone. 
  • For Ecommerce data, manually duplicate events from UA at a new GA4 property while trying to figure out the new event names and parameters. 

  Google’s new data collection model is the reason for migration difficulties. 

  In Google Analytics 4, all analytics hits types — page hits, social hits, app/screen view, etc. — are recorded as events. Respectively, the “‘event’ parameter in GA4 is different from one in Google Universal Analytics as the company explains : 

  

  This change makes migration tedious — and Google offers little assistance with proper events and custom dimensions set up. 

  2. Data Collection Limits 

  If you’ve wrapped your head around new GA4 events, congrats ! You did a great job, but the hassle isn’t over. 

  You still need to pay attention to new Google Analytics limits on data collection for event parameters and user properties. 

  

  These apply to :

  • Automatically collected events
  • Enhanced measurement events
  • Recommended events 
  • Custom events 

  When it comes to custom events, GA4 also has a limit of 25 custom parameters per event. Even though it seems a lot, it may not be enough for bigger websites. 

  You can get higher limits by upgrading to Google Analytics 360, but the costs are steep. 

  3. Limited GDPR Compliance 

  Google Analytics has a complex history with European GDPR compliance. 

  A 2020 ruling by the Court of Justice of the European Union (CJEU) invalidated the Privacy Shield framework Google leaned upon. This framework allowed the company to regulate EU-US data transfers of sensitive user data. 

  But after this loophole was closed, Google faced a heavy series of privacy-related fines :

  • French data protection authority, CNIL, ruled that  “the transfers to the US of personal data collected through Google Analytics are illegal” — and proceeded to fine Google for a record-setting €150 million at the beginning of 2022. 
  • Austrian regulators also deemed Google in breach of GDPR requirements and also branded the analytics as illegal. 

  Other EU-member states might soon proceed with similar rulings. These, in turn, can directly affect Google Analytics users, whose businesses could face brand damage and regulatory fines for non-compliance. In fact, companies cannot select where the collected analytics data will be stored — on European servers or abroad — nor can they obtain this information from Google.

  Getting a web analytics platform that allows you to keep data on your own servers or select specific Cloud locations is a great alternative. 

  Google also has been lax with its cookie consent policy and doesn’t properly inform consumers about data collection, storage or subsequent usage. Google Analytics 4 addresses this issue to an extent. 

  By default, GA4 relies on first-party cookies, instead of third-party ones — which is a step forward. But the user privacy controls are hard to configure without losing most of the GA4 functionality. Implementing user consent mode to different types of data collection also requires a heavy setup. 

  4. Strong Reliance on Sampled Data 

  To compensate for ditching third-party cookies, GA4 more heavily leans on sampled data and machine learning to fill the gaps in reporting. 

  In GA4 sampling automatically applies when you :

  • Perform advanced analysis such as cohort analysis, exploration, segment overlap or funnel analysis with not enough data 
  • Have over 10,000,000 data rows and generate any type of non-default report 

  Google also notes that data sampling can occur at lower thresholds when you are trying to get granular insights. If there’s not enough data or because Google thinks it’s too complex to retrieve. 

  In their words :

  

  Data sampling adds “guesswork” to your reports, meaning you can’t be 100% sure of data accuracy. The divergence from actual data depends on the size and quality of sampled data. Again, this isn’t something you can control. 

  Unlike Google Analytics 4, Matomo applies no data sampling. Your reports are always accurate and fully representative of actual user behaviours. 

  5. No Proper Data Anonymization 

  Data anonymization allows you to collect basic analytics about users — visits, clicks, page views — but without personally identifiable information (or PII) such as geo-location, assigns tracking ID or other cookie-based data. 

  This reduced your ability to :

  • Remarket 
  • Identify repeating visitors
  • Do advanced conversion attribution 

  But you still get basic data from users who ignored or declined consent to data collection. 

  By default, Google Analytics 4 anonymizes all user IP addresses — an upgrade from UA. However, it still assigned a unique user ID to each user. These count as personal data under GDPR. 

  For comparison, Matomo provides more advanced privacy controls. You can anonymize :

  • Previously tracked raw data 
  • Visitor IP addresses
  • Geo-location information
  • User IDs 

  This can ensure compliance, especially if you operate in a sensitive industry — and delight privacy-mindful users ! 

  6. No Roll-Up Reporting

  Getting a bird’s-eye view of all your data is helpful when you need hotkey access to main sites — global traffic volume, user count or percentage of returning visitors.

  With Roll-Up Reporting, you can see global-performance metrics for multiple localised properties (.co.nz, .co.uk, .com, etc,) in one screen. Then zoom in on specific localised sites when you need to. 

  

  7. Report Processing Latency 

  The average data processing latency is 24-48 hours with Google Analytics. 

  Accounts with over 200,000 daily sessions get data refreshes only once a day. So you won’t be seeing the latest data on core metrics. This can be a bummer during one-day promo events like Black Friday or Cyber Monday when real-time information can prove to be game-changing ! 

  Matomo processes data with lower latency even for high-traffic websites. Currently, we have 6-24 hour latency for cloud deployments. On-premises web analytics can be refreshed even faster — within an hour or instantly, depending on the traffic volumes. 

  8. No Native Conversion Optimisation Features

  Google Analytics users have to use third-party tools to get deeper insights like how people are interacting with your webpage or call-to-action.

  You can use the free Google Optimize tool, but it comes with limits : 

  • No segmentation is available 
  • Only 10 simultaneous running experiments allowed 

  There isn’t a native integration between Google Optimize and Google Analytics 4. Instead, you have to manually link an Optimize Container to an analytics account. Also, you can’t select experiment dimensions in Google Analytics reports.

  What’s more, Google Optimize is a basic CRO tool, best suited for split testing (A/B testing) of copy, visuals, URLs and page layouts. If you want to get more advanced data, you need to pay for extra tools. 

  Matomo comes with a native set of built-in conversion optimization features : 

  • Heatmaps 
  • User session recording 
  • Sales funnel analysis 
  • A/B testing 
  • Form submission analytics 

  

  9. Deprecated Annotations

  Annotations come in handy when you need to provide extra context to other team members. For example, point out unusual traffic spikes or highlight a leak in the sales funnel. 

  This feature was available in Universal Analytics but is now gone in Google Analytics 4. But you can still quickly capture, comment and share knowledge with your team in Matomo. 

  You can add annotations to any graph that shows statistics over time including visitor reports, funnel analysis charts or running A/B tests. 

  10. No White Label Option 

  This might be a minor limitation of Google Analytics, but a tangible one for agency owners. 

  Offering an on-brand, embedded web analytics platform can elevate your customer experience. But white label analytics were never a thing with Google Analytics, unlike Matomo. 

  Wrap Up 

  Google set a high bar for web analytics. But Google Analytics inherent limitations around privacy, reporting and deployment options prompt more users to consider Google Analytics alternatives, like Matomo. 

  With Matomo, you can easily migrate your historical data records and store customer data locally or in a designated cloud location. We operate by a 100% unsampled data principle and provide an array of privacy controls for advanced compliance. 

  Start your 21-day free trial (no credit card required) to see how Matomo compares to Google Analytics ! 

  21 day free trial. No credit card required.

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• 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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