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• Cohort Analysis 101 : How-To, Examples & Top Tools

  13 novembre 2023, par Erin — Analytics Tips

  Imagine that a farmer is trying to figure out why certain hens are laying large brown eggs and others are laying average-sized white eggs.

  The farmer decides to group the hens into cohorts based on what kind of eggs they lay to make it easier to detect patterns in their day-to-day lives. After careful observation and analysis, she discovered that the hens laying big brown eggs ate more than the roost’s other hens.

  With this cohort analysis, the farmer deduced that a hen’s body weight directly corresponds to egg size. She can now develop a strategy to increase the body weight of her hens to sell more large brown eggs, which are very popular at the weekly farmers’ market.

  Cohort analysis has a myriad of applications in the world of web analytics. Like our farmer, you can use it to better understand user behaviour and reap the benefits of your efforts. This article will discuss the best practices for conducting an effective cohort analysis and compare the top cohort analysis tools for 2024. 

  What is cohort analysis ?

  By definition, cohort analysis refers to a technique where users are grouped based on shared characteristics or behaviours and then examined over a specified period.

  Think of it as a marketing superpower, enabling you to comprehend user behaviours, craft personalised campaigns and allocate resources wisely, ultimately resulting in improved performance and better ROI.

  Why does cohort analysis matter ?

  In web analytics, a cohort is a group of users who share a certain behaviour or characteristic. The goal of cohort analysis is to uncover patterns and compare the performance and behaviour of different cohorts over time.

  An example of a cohort is a group of users who made their first purchase during the holidays. By analysing this cohort, you could learn more about their behaviour and buying patterns. You may discover that this cohort is more likely to buy specific product categories as holiday gifts — you can then tailor future holiday marketing campaigns to include these categories. 

  Types of cohort analysis

  There are a few different types of notable cohorts : 

  1. Time-based cohorts are groups of users categorised by a specific time. The example of the farmer we went over at the beginning of this section is a great example of a time-based cohort.
  2. Acquisition cohorts are users acquired during a specific time frame, event or marketing channel. Analysing these cohorts can help you determine the value of different acquisition methods. 
  3. Behavioural cohorts consist of users who show similar patterns of behaviour. Examples include frequent purchases with your mobile app or digital content engagement. 
  4. Demographic cohorts share common demographic characteristics like age, gender, education level and income. 
  5. Churn cohorts are buyers who have cancelled a subscription/stopped using your service within a specific time frame. Analysing churn cohorts can help you understand why customers leave.
  6. Geographic cohorts are pretty self-explanatory — you can use them to tailor your marketing efforts to specific regions. 
  7. Customer journey cohorts are based on the buyer lifecycle — from acquisition to adoption to retention. 
  8. Product usage cohorts are buyers who use your product/service specifically (think basic users, power users or occasional users). 

  Best practices for conducting a cohort analysis 

  So, you’ve decided you want to understand your user base better but don’t know how to go about it. Perhaps you want to reduce churn and create a more engaging user experience. In this section, we’ll walk you through the dos and don’ts of conducting an effective cohort analysis. Remember that you should tailor your cohort analysis strategy for organisation-specific goals.

  

  1. Preparing for cohort analysis : 

  • • First, define specific goals you want your cohort analysis to achieve. Examples include improving conversion rates or reducing churn.
    • Choosing the right time frame will help you compare short-term vs. long-term data trends. 

  2. Creating effective cohorts : 

  • • Define your segmentation criteria — anything from demographics to location, purchase history or user engagement level. Narrowing in on your specific segments will make your cohort analysis more precise. 
    • It’s important to find a balance between cohort size and similarity. If your cohort is too small and diverse, you won’t be able to find specific behavioural patterns.

  3. Performing cohort analysis :

  • • • Study retention rates across cohorts to identify patterns in user behaviour and engagement over time. Pay special attention to cohorts with high retention or churn rates. 
      • Analysing cohorts can reveal interesting behavioural insights — how do specific cohorts interact with your website ? Do they have certain preferences ? Why ? 

  4. Visualising and interpreting data :

  • • Visualising your findings can be a great way to reveal patterns. Line charts can help you spot trends, while bar charts can help you compare cohorts.
    • Guide your analytics team on how to interpret patterns in cohort data. Watch for sudden drops or spikes and what they could mean. 

  5. Continue improving :

  • • User behaviour is constantly evolving, so be adaptable. Continuous tracking of user behaviour will help keep your strategies up to date. 
    • Encourage iterative analysis optimisation based on your findings. 

  

  The top cohort analysis tools for 2024

  In this section, we’ll go over the best cohort analysis tools for 2024, including their key features, cohort analysis dashboards, cost and pros and cons.

  1. Matomo

  

  Matomo is an open-source, GDPR-compliant web analytics solution that offers cohort analysis as a standard feature in Matomo Cloud and is available as a plugin for Matomo On-Premise. Pairing traditional web analytics with cohort analysis will help you gain even deeper insights into understanding user behaviour over time. 

  You can use the data you get from web analytics to identify patterns in user behaviour and target your marketing strategies to specific cohorts. 

  Key features

  • Matomo offers a cohorts table that lets you compare cohorts side-by-side, and it comes with a time series.
    • All core session and conversion metrics are also available in the Cohorts report.
  • Create custom segments based on demographics, geography, referral sources, acquisition date, device types or user behaviour. 
  • Matomo provides retention analysis so you can track how many users from a specific cohort return to your website and when. 
  • Flexibly analyse your cohorts with custom reports. Customise your reports by combining metrics and dimensions specific to different cohorts. 
  • Create cohorts based on events or interactions with your website. 
  • Intuitive, colour-coded data visualisation, so you can easily spot patterns.

  Pros

  • No setup is needed if you use the JavaScript tracker
  • You can fetch cohort without any limit
  • 100% accurate data, no AI or Machine Learning data filling, and without the use of data sampling

  Cons

  • Matomo On-Premise (self-hosted) is free, but advanced features come with additional charges
  • Servers and technical know-how are required for Matomo On-Premise. Alternatively, for those not ready for self-hosting, Matomo Cloud presents a more accessible option and starts at $19 per month.

  Price : 

  • Matomo Cloud : 21-day free trial, then starts at $19 per month (includes Cohorts).
  • Matomo On-Premise : Free to self-host ; Cohorts plugin : 30-day free trial, then $99 per year.

  2. Mixpanel

  

  Mixpanel is a product analytics tool designed to help teams better understand user behaviour. It is especially well-suited for analysing user behaviour on iOS and Android apps. It offers various cohort analytics features that can be used to identify patterns and engage your users. 

  Key features

  • Create cohorts based on criteria such as sign-up date, first purchase date, referral source, geographic location, device type or another custom event/property. 
  • Compare how different cohorts engage with your app with Mixpanel’s comparative analysis features.
  • Create interactive dashboards, charts and graphs to visualise data.
  • Mixpanel provides retention analysis tools to see how often users return to your product over time. 
  • Send targeted messages and notifications to specific cohorts to encourage user engagement, announce new features, etc. 
  • Track and analyse user behaviours within cohorts — understand how different types of users engage with your product.

  Pros

  • Easily export cohort analysis data for further analysis
  • Combined with Mixpanel reports, cohorts can be a powerful tool for improving your product

  Cons

  • With the free Mixpanel plan, you can’t save cohorts for future use
  • Enterprise-level pricing is expensive
  • Time-consuming cohort creation process

  Price : Free basic version. The growth version starts at £16/month.

  3. Amplitude

  

  Amplitude is another product analytics solution that can help businesses track user interactions across digital platforms. Amplitude offers a standard toolkit for in-depth cohort analysis.

  Key features

  • Create cohorts based on criteria such as sign-up date, first purchase date, referral source, geographic location, device type or another custom event/property. 
  • Conduct behavioural, time-based and retention analyses.
  • Create custom reports with custom data.
  • Segment cohorts further based on additional criteria and compare multiple cohorts side-by-side.

  Pros

  • Highly customisable and flexible
  • Quick and simple setup

  Cons

  • Steep learning curve — requires significant training 
  • Slow loading speed
  • High price point compared to other tools

  Price : Free basic version. Plus version starts at £40/month (billed annually).

  4. Kissmetrics

  

  Kissmetrics is a customer engagement automation platform that offers powerful analytics features. Kissmetrics provides behavioural analytics, segmentation and email campaign automation. 

  Key features

  • Create cohorts based on demographics, user behaviour, referral sources, events and specific time frames.
  • The user path tool provides path visualisation so you can identify common paths users take and spot abandonment points. 
  • Create and optimise conversion funnels.
  • Customise events, user properties, funnels, segments, cohorts and more.

  Pros

  • Powerful data visualisation options
  • Highly customisable

  Cons

  • Difficult to install
  • Not well-suited for small businesses
  • Limited integration with other tools

  Price : Starting at £21/month for 10k events (billed monthly).

  Improve your cohort analysis with Matomo

  When choosing a cohort analysis tool, consider factors such as the tool’s ease of integration with your existing systems, data accuracy, the flexibility it offers in defining cohorts, the comprehensiveness of reporting features, and its scalability to accommodate the growth of your data and analysis needs over time. Moreover, it’s essential to confirm GDPR compliance to uphold rigorous privacy standards. 

  If you’re ready to understand your user’s behaviour, take Matomo for a test drive. Paired with web analytics, this powerful combination can advance your marketing efforts. Start your 21-day free trial today — no credit card required.

• A Comprehensive Guide to Robust Digital Marketing Analytics

  30 octobre 2023, par Erin

  First impressions are everything. This is not only true for dating and job interviews but also for your digital marketing strategy. Like a poorly planned resume getting tossed in the “no thank you” pile, 38% of visitors to your website will stop engaging with your content if they find the layout unpleasant. Thankfully, digital marketers can access data that can be harnessed to optimise websites and turn those “no thank you’s” into “absolutely’s.”

  So, how can we transform raw data into valuable insights that pay off ? The key is web analytics tools that can help you make sense of it all while collecting data ethically. In this article, we’ll equip you with ways to take your digital marketing strategy to the next level with the power of web analytics.

  What are the different types of digital marketing analytics ?

  Digital marketing analytics are like a cipher into the complex behaviour of your buyers. Digital marketing analytics help collect, analyse and interpret data from any touchpoint you interact with your buyers online. Whether you’re trying to gauge the effectiveness of a new email marketing campaign or improve your mobile app layout, there’s a way for you to make use of the insights you gain. 

  As we go through the eight commonly known types of digital marketing analytics, please note we’ll primarily focus on what falls under the umbrella of web analytics. 

  1. Web analytics help you better understand how users interact with your website. Good web analytics tools will help you understand user behaviour while securely handling user data. 
  2. Learn more about the effectiveness of your organisation’s social media platforms with social media analytics. Social media analytics include user engagement, post reach and audience demographics. 
  3. Email marketing analytics help you see how email campaigns are being engaged with.
  4. Search engine optimisation (SEO) analytics help you understand your website’s visibility in search engine results pages (SERPs). 
  5. Pay-per-click (PPC) analytics measure the performance of paid advertising campaigns.
  6. Content marketing analytics focus on how your content is performing with your audience. 
  7. Customer analytics helps organisations identify and examine buyer behaviour to retain the biggest spenders. 
  8. Mobile app analytics track user interactions within mobile applications. 

  Choosing which digital marketing analytics tools are the best fit for your organisation is not an easy task. When making these decisions, it’s critical to remember the ethical implications of data collection. Although data insights can be invaluable to your organisation, they won’t be of much use if you lose the trust of your users. 

  Tips and best practices for developing robust digital marketing analytics 

  So, what separates top-notch, robust digital marketing analytics from the rest ? We’ve already touched on it, but a big part involves respecting user privacy and ethically handling data. Data security should be on your list of priorities, alongside conversion rate optimisation when developing a digital marketing strategy. In this section, we will examine best practices for using digital marketing analytics while retaining user trust.

  

  Clear objectives

  Before comparing digital marketing analytics tools, you should define clear and measurable goals. Try asking yourself what you need your digital marketing analytics strategy to accomplish. Do you want to improve conversion rates while remaining data compliant ? Maybe you’ve noticed users are not engaging with your platform and want to fix that. Save yourself time and energy by focusing on the most relevant pain points and areas of improvement.

  Choose the right tools for the job

  Don’t just base your decision on what other people tell you. Take the tool for a test drive — free trials allow you to test features and user interfaces and learn more about the platform before committing. When choosing digital marketing analytics tools, look for ones that ensure compliance with privacy laws like GDPR.

  Don’t overlook data compliance

  GDPR ensures organisations prioritise data protection and privacy. You could be fined up to €20 million, or 4% of the previous year’s revenue for violations. Without data compliance practices, you can say goodbye to the time and money spent on digital marketing strategies. 

  Don’t sacrifice data quality and accuracy

  Inaccurate and low-quality data can taint your analysis, making it hard to glean valuable insights from your digital marketing analytics efforts. Regularly audit and clean your data to remove inaccuracies and inconsistencies. Address data discrepancies promptly to maintain the integrity of your analytics. Data validation measures also help to filter out inaccurate data.

  Communicate your findings

  Having insights is one thing ; effectively communicating complex data findings is just as important. Customise dashboards to display key metrics aligned with your objectives. Make sure to automate reports, allowing stakeholders to stay updated without manual intervention. 

  Understand the user journey

  To optimise your conversion rates, you need to understand the user journey. Start by analysing visitors interactions with your website — this will help you identify conversion bottlenecks in your sales or lead generation processes. Implement A/B testing for landing page optimisation, refining elements like call-to-action buttons or copy, and leverage Form Analytics to make informed, data-driven improvements to your forms.

  Continuous improvement

  Learn from the data insights you gain, and iterate your marketing strategies based on the findings. Stay updated with evolving web analytics trends and technologies to leverage new growth opportunities.

  Why you need web analytics to support your digital marketing analytics toolbox

  You wouldn’t set out on a roadtrip without a map, right ? Digital marketing analytics without insights into how users interact with your website are just as useless. Used ethically, web analytics tools can be an invaluable addition to your digital marketing analytics toolbox. 

  The data collected via web analytics reveals user interactions with your website. These could include anything from how long visitors stay on your page to their actions while browsing your website. Web analytics tools help you gather and understand this data so you can better understand buyer preferences. It’s like a domino effect : the more you understand your buyers and user behaviour, the better you can assess the effectiveness of your digital content and campaigns. 

  Web analytics reveal user behaviour, highlighting navigation patterns and drop-off points. Understanding these patterns helps you refine website layout and content, improving engagement and conversions for a seamless user experience.

  

  Concrete CMS harnessed the power of web analytics, specifically Form Analytics, to uncover a crucial insight within their user onboarding process. Their data revealed a significant issue : the “address” input field was causing visitors to drop off and not complete the form, severely impacting the overall onboarding experience and conversion rate.

  Armed with these insights, Concrete CMS made targeted optimisations to the form, resulting in a substantial transformation. By addressing the specific issue identified through Form Analytics, they achieved an impressive outcome – a threefold increase in lead generation.

  This case is a great example of how web analytics can uncover customer needs and preferences and positively impact conversion rates. 

  Ethical implications of digital marketing analytics

  As we’ve touched on, digital marketing analytics are a powerful tool to help better understand online user behaviour. With great power comes great responsibility, however, and it’s a legal and ethical obligation for organisations to protect individual privacy rights. Let’s get into the benefits of practising ethical digital marketing analytics and the potential risks of not respecting user privacy : 

  • If someone uses your digital platform and then opens their email one day to find it filled with random targeted ad campaigns, they won’t be happy. Avoid losing user trust — and facing a potential lawsuit — by informing users what their data will be used for. Give them the option to consent to opt-in or opt-out of letting you use their personal information. If users are also assured you’ll safeguard personal information against unauthorised access, they’ll be more likely to trust you to handle their data securely.
  • Protecting data against breaches means investing in technology that will let you end-to-end encrypt and securely store data. Other important data-security best practices include access control, backing up data regularly and network and physical security of assets.
  • A fine line separates digital marketing analytics and misusing user data — many companies have gotten into big trouble for crossing it. (By big trouble, we mean millions of dollars in fines.) When it comes to digital marketing analytics, you should never cut corners when it comes to user privacy and data security. This balance involves understanding what data can be collected and what should be collected and respecting user boundaries and preferences.

  

  Learn more 

  We discussed a lot of facets of digital marketing analytics, namely how to develop a robust digital marketing strategy while prioritising data compliance. With Matomo, you can protect user data and respect user privacy while gaining invaluable insights into user behaviour. Save your organisation time and money by investing in a web analytics solution that gives you the best of both worlds. 

  If you’re ready to begin using ethical and robust digital marketing analytics on your website, try Matomo. Start your 21-day free trial now — no credit card required.

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• Organic Traffic : What It Is and How to Increase It

  19 septembre 2023, par Erin — Analytics Tips

  Organic traffic can be a website’s most valuable source of visitors. But it can also be the hardest form of traffic to acquire. While paid ads can generate traffic almost instantly, you need to invest time and energy into growing traffic from search engines.

  And it all starts with understanding exactly what organic traffic is. 

  If you want to understand what organic traffic is, how to measure it and how to generate more of it, then this article is for you.

  What is organic traffic ?

  Organic traffic is the visitors your website receives from the unpaid results on search engines like Google, Bing and DuckDuckGo. 

  The higher your website ranks in the search engine results pages and the more search terms your website ranks for, the more organic traffic your site will receive. 

  Organic traffic is highly valued by marketers, partly because it has a much higher clickthrough rate than PPC ads. Research shows the top organic result has a 39.8% CTR compared to just 2.1% for paid ads.

  

  So, while you can pay to appear at the top of search engines (using a platform like Google Ads, for instance), you probably won’t receive as much traffic as you would if you were to rank organically in the same search engine.

  What other types of traffic are there ? 

  Organic traffic isn’t the only type of traffic your website can get. You can also receive traffic from the following channels :

  Direct

  People familiar with your site may visit it directly, either by entering your URL into their browser or accessing it through a bookmarked link ; both scenarios are counted as direct traffic.

  Social

  Social traffic includes visits to your website from a social media platform. For example, if someone shares a link to your website on Facebook, any user who clicks on it will be counted as social traffic. 

  Websites

  Social media isn’t the only way for someone to share a link to your website. Any time a visitor finds your website by clicking on a link on another website, it will be counted as “websites”. This is also known as referral traffic on some analytics platforms. 

  Campaign

  Campaign traffic encompasses both paid and unpaid traffic sources. Paid sources include advertising on search engines and social media (also known as PPC or pay-per-click), as well as collaborations with influencers and sponsorships. Unpaid sources, such as your organisation’s email newsletters, cross-promotions with other businesses and other similar methods, are also part of this mix. 

  In simpler terms, it’s the traffic you deliberately direct to your site, and you utilise campaign tracking URLs to measure how these efforts impact your ROI.

  A word on multi-touch attribution

  If you are interested in learning more about types of traffic to track conversions, then it’s important to understand multi-touch attribution. The truth is most customers won’t just use a single traffic channel to find your website. In reality, the modern customer journey has multiple touchpoints, and customers may first find your site through an ad and then search for more about your brand on Google before going directly to your website. 

  

  You are at risk of under or overestimating the effectiveness of a marketing channel without using multi-touch attribution tracking. With this marketing analytics model, you can accurately weigh the impact of every channel and allocate budgets accordingly. 

  What are the benefits of organic traffic ?

  Getting more organic traffic is a common marketing goal for many companies. And it’s not surprising why. There’s a lot to love about organic traffic. 

  For starters, it’s arguably the most cost-effective traffic your site can receive. You will still need to pay to create and distribute organic content (whether it’s a blog post or product page). You don’t need to pay for it to show up in a search engine. You continue to get value from organic traffic long after you’ve created the page, too. A good piece of organic content can receive high volumes of monthly visitors for years. That’s a stark difference from paid ads, where traffic stops as soon as you turn off the ad. 

  It also puts your website in front of a massive audience, with Google alone processing over 3.5 billion searches every day. There’s a good chance that if your target audience is looking for a solution to their problems, they start with Google. 

  Organic traffic is fantastic at building brand awareness. Usually, users aren’t searching for a specific brand or company. They are searching for informational keywords (“how to brew the perfect cup of coffee”) or unbranded transactional keywords (“best home workout machine”). In both cases, customers can use search engines to become aware of your brand. 

  Finally, organic traffic brings in high-quality leads at every marketing funnel stage. Because users are searching for informational and transactional keywords, your site can receive visits from buyers at every stage of the marketing funnel, giving you multiple chances to convert them and helping to increase the number of touch points you have.

  How to check your website’s organic traffic

  You don’t need to complete complex calculations to determine your site’s organic traffic. A web analytics solution like Matomo will accurately measure your site’s organic traffic. 

  In Matomo, on the left-hand sidebar, you can access organic traffic data by clicking Acquisition and then selecting All Channels.

  

  You’ll find a detailed breakdown of all traffic sources, including organic traffic, within the specified timeframe. The report is set to the current day by default, but you can view organic traffic metrics over a day, week, month, year or a date range of your choice.

  If you want to take things further, you can get a detailed view of organic visitors by creating a custom report for “Visitors from Search Engines only.” By creating a custom report with the segment “Channel Type is search”, you’ll be able to combine other metrics like average actions per visit, bounce rate, goal conversions, etc., to create a comprehensive report on your organic traffic and the behavior of these visitors.

  Matomo also lets you integrate Google, Bing and Yahoo search consoles directly into your Matomo Analytics to monitor keyword performance.

  How to increase organic traffic

  Follow these six tips if you want to increase the web traffic you get organically from search engines. 

  Create more and better content

  Here’s the reality : Most websites don’t get much traffic from Google. Only 40% of sites rank on the first page, and just 23% sit in the top three results. 

  Let’s take quality first. The best content tends to rise to the top of search engines. That’s because it gets shared more, receives more backlinks and gets more user engagement. So, if you want to appear at the top of Google results, creating mediocre content probably won’t cut it. You need to go above and beyond what is already there. 

  But you can’t just create one fantastic piece of content and expect to receive thousands of visitors. You need multiple pages targeting as many search terms as possible. The more pages search engines index, the more opportunities you have to rank. Or, to put it another way, the more shots you take, the greater your chances of scoring. 

  Use keyword research tools

  While creating great content is essential, you want to ensure that content targets the right keywords. These keywords receive a suitable amount of traffic and are easy to rank for. 

  Keyword research tools like Ahrefs of Semrush are the easiest way to find high-traffic topics to write about. Specifically, you want to aim for long-tail keywords. These are search terms that contain three or more words. Think “Nike men’s basketball shoe” rather than “basketball shoe.”

  

  As you can see, long tail keywords have a lower monthly search volume (250 vs. 1,100 using the example above) than broad terms but are much easier to rank for (14 vs. 41 Keyword Difficulty).

  

  While the above tools can help you find new topics to write about, Matomo’s Search Engine Keywords Performance plugin can help highlight topics you have already covered that could be expanded.

  

  The plugin automatically connects to APIs from all significant search engines and imports all the keywords people search for when clicking on your websites into your Matomo report. 

  If you find a cluster of keywords on the same topic that generates a lot of visitors, it may be worth creating even more content on that topic. Similarly, if there’s a topic you think you have covered but isn’t generating much traffic, you can look at revising and refreshing your existing content to try to rank higher. 

  Build high-quality backlinks

  Backlinks are arguably the most important Google ranking factor and the primary way Google assesses the authoritativeness of your site and content. Backlinks strongly and positively correlate with traffic — at least according to 67.5% of respondents in a uSERP industry survey. 

  There are plenty of ways you can create high-quality backlinks that Google loves. Strategies include :

  • Creating and promoting the best content about a given topic
  • Guest posting on high-authority websites
  • Building relationships with other websites

  Ensure you avoid building low-quality spam links at all costs — such as private blog networks (PBNs), forum and comment spam links and directory links. These links won’t help your content to rank higher, and Google may even penalise your entire site if you build them. 

  Find and fix any technical Search Engine Optimisation (SEO) issues

  Search engines like Google need to be able to quickly and accurately crawl and index your website to rank your content. Unfortunately, many sites suffer from technical issues that impede search engine bots. 

  The good news is that certain tools make these issues easy to spot. Take the Matomo SEO Web Vitals feature, for instance. This lets you track a set of core web vital metrics, including :

  • Page Speed Score
  • First Contentful Paint (FCP)
  • Final Input Delay (FID)
  • Last Contentful Paint (LCP)
  • Cumulative Layout Shift (CLS)

  Take things even further by identifying major bugs and issues with your site. Crashes and other issues that impact user experience can also hurt your SEO and organic traffic efforts — so it’s best to eliminate them as soon as they occur. 

  

  Use Matomo’s Crash Analytics feature to get precise bug location information as well as the user’s interactions that triggered, the device they were using, etc. Scheduled reporting and alerts allow you to automate this task and instantly detect bugs as soon as they occur.

  Improve your on-page SEO

  As well as fixing technical issues, you should spend time optimising specific elements of your website to improve how it ranks in search engines. 

  There are several on-page elements you should optimise :

  • Image alt tags
  • URLs
  • Headings
  • Title tags
  • Internal links

  Your goal should be to include a target keyword in each element above. For example, your URL should be something like yoursite.com/keyword.

  It’s best to err on the side of caution here. Avoid adding too many keywords to each of these elements. This is called keyword stuffing, and Google may slap your site with a penalty. 

  Track your content’s performance

  One final way to increase organic traffic is to use an analytics platform to understand what content needs improving and which pages can be removed.

  

  Use an analytics platform like Matomo to see which pages generate the most organic traffic and which lag behind. This can help you prioritise your SEO efforts while highlighting pages that add no value. These pages can be completely revamped, redirected to another page or removed if appropriate. 

  Conclusion

  Organic traffic is arguably the most valuable traffic source your site can acquire. It is essential to monitor organic traffic levels and take steps to increase your organic traffic. 

  A good analytics platform can help you do both. Matomo’s powerful, open-source web analytics solution protects your data and your users’ privacy, while providing the SEO tools you need to send your organic traffic levels soaring. 

  Start a free 21-day trial now, no credit card required.