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• What is a Cohort Report ? A Beginner’s Guide to Cohort Analysis

  3 janvier 2024, par Erin

  Handling your user data as a single mass of numbers is rarely conducive to figuring out meaningful patterns you can use to improve your marketing campaigns.

  A cohort report (or cohort analysis) can help you quickly break down that larger audience into sequential segments and contrast and compare based on various metrics. As such, it is a great tool for unlocking more granular trends and insights — for example, identifying patterns in engagement and conversions based on the date users first interacted with your site.

  In this guide, we explain the basics of the cohort report and the best way to set one up to get the most out of it.

  What is a cohort report ?

  In a cohort report, you divide a data set into groups based on certain criteria — typically a time-based cohort metric like first purchase date — and then analyse the data across those segments, looking for patterns.

  Date-based cohort analysis is the most common approach, often creating cohorts based on the day a user completed a particular action — signed up, purchased something or visited your website. Depending on the metric you choose to measure (like return visits), the cohort report might look something like this :

  

  Note that this is not a universal benchmark or anything of the sort. The above is a theoretical cohort analysis based on app users who downloaded the app, tracking and comparing the retention rates as the days go by. 

  The benchmarks will be drastically different depending on the metric you’re measuring and the basis for your cohorts. For example, if you’re measuring returning visitor rates among first-time visitors to your website, expect single-digit percentages even on the second day.

  Your industry will also greatly affect what you consider positive in a cohort report. For example, if you’re a subscription SaaS, you’d expect high continued usage rates over the first week. If you sell office supplies to companies, much less so.

  What is an example of a cohort ?

  As we just mentioned, a typical cohort analysis separates users or customers by the date they first interacted with your business — in this case, they downloaded your app. Within that larger analysis, the users who downloaded it on May 3 represent a single cohort.

  

  In this case, we’ve chosen behaviour and time — the app download day — to separate the user base into cohorts. That means every specific day denotes a specific cohort within the analysis.

  Diving deeper into an individual cohort may be a good idea for important holidays or promotional events like Black Friday.

  Of course, cohorts don’t have to be based on specific behaviour within certain periods. You can also create cohorts based on other dimensions :

  • Transactional data — revenue per user
  • Churn data — date of churn
  • Behavioural cohort — based on actions taken on your website, app or e-commerce store, like the number of sessions per user or specific product pages visited
  • Acquisition cohort — which channel referred the user or customer

  For more information on different cohort types, read our in-depth guide on cohort analysis.

  How to create a cohort report (and make sense of it)

  Matomo makes it easy to view and analyse different cohorts (without the privacy and legal implications of using Google Analytics).

  Here are a few different ways to set up a cohort report in Matomo, starting with our built-in cohorts report.

  Cohort reports

  With Matomo, cohort reports are automatically compiled based on the first visit date. The default metric is the percentage of returning visitors.

  

  Changing the settings allows you to create multiple variations of cohort analysis reports.

  Break down cohorts by different metrics

  The percentage of returning visits can be valuable if you’re trying to improve early engagement in a SaaS app onboarding process. But it’s far from your only option.

  You can also compare performance by conversion, revenue, bounce rate, actions per visit, average session duration or other metrics.

  

  Change the time and scope of your cohort analysis

  Splitting up cohorts by single days may be useless if you don’t have a high volume of users or visitors. If the average cohort size is only a few users, you won’t be able to identify reliable patterns. 

  Matomo lets you set any time period to create your cohort analysis report. Instead of the most recent days, you can create cohorts by week, month, year or custom date ranges. 

  

  Cohort sizes will depend on your customer base. Make sure each cohort is large enough to encapsulate all the customers in that cohort and not so small that you have insignificant cohorts of only a few customers. Choose a date range that gives you that without scaling it too far so you can’t identify any seasonal trends.

  Cohort analysis can be a great tool if you’ve recently changed your marketing, product offering or onboarding. Set the data range to weekly and look for any impact in conversions and revenue after the changes.

  Using the “compare to” feature, you can also do month-over-month, quarter-over-quarter or any custom date range comparisons. This approach can help you get a rough overview of your campaign’s long-term progress without doing any in-depth analysis.

  You can also use the same approach to compare different holiday seasons against each other.

  If you want to combine time cohorts with segmentation, you can run cohort reports for different subsets of visitors instead of all visitors. This can lead to actionable insights like adjusting weekend or specific seasonal promotions to improve conversion rates.

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  Easily create custom cohort reports beyond the time dimension

  If you want to split your audience into cohorts by focusing on something other than time, you will need to create a custom report and choose another dimension. In Matomo, you can choose from a wide range of cohort metrics, including referrers, e-commerce signals like viewed product or product category, form submissions and more.

  

  Then, you can create a simple table-based report with all the insights you need by choosing the metrics you want to see. For example, you could choose average visit duration, bounce rate and other usage metrics.

  

  If you want more revenue-focused insights, add metrics like conversions, add-to-cart and other e-commerce events.

  Custom reports make it easy to create cohort reports for almost any dimension. You can use any metric within demographic and behavioural analytics to create a cohort. (You can explore the complete list of our possible segmentation metrics.)

  We cover different types of custom reports (and ideas for specific marketing campaigns) in our guide on custom segmentation.

  Create your first cohort report and gain better insights into your visitors

  Cohort reports can help you identify trends and the impact of short-term marketing efforts like events and promotions.

  With Matomo cohort reports you have the power to create complex custom reports for various cohorts and segments. 

  If you’re looking for a powerful, easy-to-use web analytics solution that gives you 100% accurate data without compromising your users’ privacy, Matomo is a great fit. Get started with a 21-day free trial today. No credit card required. 

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• A Complete Guide to Metrics in Google Analytics

  11 janvier 2024, par Erin

  There’s no denying that Google Analytics is the most popular web analytics solution today. Many marketers choose it to understand user behaviour. But when it offers so many different types of metrics, it can be overwhelming to choose which ones to focus on. In this article, we’ll dive into how metrics work in Google Analytics 4 and how to decide which metrics may be most useful to you, depending on your analytics needs.

  However, there are alternative web analytics solutions that can provide more accurate data and supplement GA’s existing features. Keep reading to learn how to overcome Google Analytics limitations so you can get the more out of your web analytics.

  What is a metric in Google Analytics ?

  In Google Analytics, a metric is a quantitative measurement or numerical data that provides insights into specific aspects of user behaviour. Metrics represent the counts or sums of user interactions, events or other data points. You can use GA metrics to better understand how people engage with a website or mobile app. 

  Unlike the previous Universal Analytics (the previous version of GA), GA4 is event-centric and has automated and simplified the event tracking process. Compared to Universal Analytics, GA4 is more user-centric and lets you hone in on individual user journeys. Some examples of common key metrics in GA4 are : 

  • Sessions : A group of user interactions on your website that occur within a specific time period. A session concludes when there is no user activity for 30 minutes.
  • Total Users : The cumulative count of individuals who accessed your site within a specified date range.
  • Engagement Rate : The percentage of visits to your website or app that included engagement (e.g., one more pageview, one or more conversion, etc.), determined by dividing engaged sessions by sessions.

  

  Metrics are invaluable when it comes to website and conversion optimisation. Whether you’re on the marketing team, creating content or designing web pages, understanding how your users interact with your digital platforms is essential.

  GA4 metrics vs. dimensions

  GA4 uses metrics to discuss quantitative measurements and dimensions as qualitative descriptors that provide additional context to metrics. To make things crystal clear, here are some examples of how metrics and dimensions are used together : 

  • “Session duration” = metric, “device type” = dimension 
    • In this situation, the dimension can segment the data by device type so you can optimise the user experience for different devices.
  • “Bounce rate” = metric, “traffic source/medium” = dimension 
    • Here, the dimension helps you segment by traffic source to understand how different acquisition channels are performing. 
  • “Conversion rate” = metric, “Landing page” = dimension 
    • When the conversion rate data is segmented by landing page, you can better see the most effective landing pages. 

  You can get into the nitty gritty of granular analysis by combining metrics and dimensions to better understand specific user interactions.

  How do Google Analytics metrics work ?

  Before diving into the most important metrics you should track, let’s review how metrics in GA4 work. 

  

  1. Tracking code implementation

  The process begins with implementing Google Analytics 4 tracking code into the HTML of web pages. This tracking code is JavaScript added to each website page — it collects data related to user interactions, events and other important tidbits.

  2. Data collection

  As users interact with the website or app, the Google Analytics 4 tracking code captures various data points (i.e., page views, clicks, form submissions, custom events, etc.). This raw data is compiled and sent to Google Analytics servers for processing.

  3. Data processing algorithms

  When the data reaches Google Analytics servers, data processing algorithms come into play. These algorithms analyse the incoming raw data to identify the dataset’s trends, relationships and patterns. This part of the process involves cleaning and organising the data.

  4. Segmentation and customisation

  As discussed in the previous section, Google Analytics 4 allows for segmentation and customisation of data with dimensions. To analyse specific data groups, you can define segments based on various dimensions (e.g., traffic source, device type). Custom events and user properties can also be defined to tailor the tracking to the unique needs of your website or app.

  5. Report generation

  Google Analytics 4 can make comprehensive reports and dashboards based on the processed and segmented data. These reports, often in the form of graphs and charts, help identify patterns and trends in the data.

  What are the most important Google Analytics metrics to track ? 

  In this section, we’ll identify and define key metrics for marketing teams to track in Google Analytics 4. 

  

  1. Pageviews are the total number of times a specific page or screen on your website or app is viewed by visitors. Pageviews are calculated each time a web page is loaded or reloaded in a browser. You can use this metric to measure the popularity of certain content on your website and what users are interested in. 
  2. Event tracking monitors user interactions with content on a website or app (i.e., clicks, downloads, video views, etc.). Event tracking provides detailed insights into user engagement so you can better understand how users interact with dynamic content. 
  3. Retention rate can be analysed with a pre-made overview report that Google Analytics 4 provides. This user metric measures the percentage of visitors who return to your website or app after their first visit within a specific time period. Retention rate = (users with subsequent visits / total users in the initial cohort) x 100. Use this information to understand how relevant or effective your content, user experience and marketing efforts are in retaining visitors. You probably have more loyal/returning buyers if you have a high retention rate. 
  4. Average session duration calculates the average time users spend on your website or app per session. Average session duration = total duration of all sessions / # of sessions. A high average session duration indicates how interested and engaged users are with your content. 
  5. Site searches and search queries on your website are automatically tracked by Google Analytics 4. These metrics include search terms, number of searches and user engagement post-search. You can use site search metrics to better understand user intent and refine content based on users’ searches. 
  6. Entrance and exit pages show where users first enter and leave your site. This metric is calculated by the percentage of sessions that start or end on a specific page. Knowing where users are entering and leaving your site can help identify places for content optimisation. 
  7. Device and browser info includes data about which devices and browsers websites or apps visitors use. This is another metric that Google Analytics 4 automatically collects and categorises during user sessions. You can use this data to improve the user experience on relevant devices and browsers. 
  8. Bounce rate is the percentage of single-page sessions where users leave your site or app without interacting further. Bounce rate = (# of single-page sessions / total # of sessions) x 100. Bounce rate is useful for determining how effective your landing pages are — pages with high bounce rates can be tweaked and optimised to enhance user engagement.

  Examples of how Matomo can elevate your web analytics

  Although Google Analytics is a powerful tool for understanding user behaviour, it also has privacy concerns, limitations and a list of issues. Another web analytics solution like Matomo can help fill those gaps so you can get the most out of your analytics.

  

  1. Cross-verify and validate your observations from Google Analytics by comparing data from Matomo’s Heatmaps and Session Recordings for the same pages. This process grants you access to these advanced features that GA4 does not offer.

  

  1. Matomo provides you with greater accuracy thanks to its privacy-friendly design. Unlike GA4, Matomo can be configured to operate without cookies. This means increased accuracy without intrusive cookie consent screens interrupting the user experience. It’s a win for you and for your users. Matomo also doesn’t apply data sampling so you can rest assured that the data you see is 100% accurate.

  3. Unlike GA4, Matomo offers direct access to customer support so you can save time sifting through community forum threads and online documentation. Gain personalised assistance and guidance for your analytics questions, and resolve issues efficiently.

  

  4. Matomo’s Form Analytics and Media Analytics extend your analytics capabilities beyond just pageviews and event tracking.

     Tracking user interactions with forms can tell you which fields users struggle with, common drop-off points, in addition to which parts of the form successfully guide visitors towards submission.

     See first-hand how Concrete CMS 3x their leads using Matomo’s Form Analytics.

     Media Analytics can provide insight into how users interact with image, video, or audio content on your website. You can use this feature to assess the relevance and popularity of specific content by knowing what your audience is engaged by.

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  Final thoughts

  Although Google Analytics is a powerful tool on its own, Matomo can elevate your web analytics by offering advanced features, data accuracy and a privacy-friendly design. Don’t play a guessing game with your data — Matomo provides 100% accurate data so you don’t have to rely on AI or machine learning to fill in the gaps. Matomo can be configured cookieless which also provides you with more accurate data and a better user experience. 

  Lastly, Matomo is fully compliant with some of the world’s strictest privacy regulations like GPDR. You won’t have to sacrifice compliance for accurate, high quality data. 

  Start your 21-day free trial of Matomo — no credit card required.

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• The Only 7 Lead Generation Tools You Need in 2024

  7 mars 2024, par Erin

  If you can’t get leads, you can’t get customers. To ensure you always have a steady stream of new customers (and revenue), you need to equip yourself with lead generation tools.

  Lead gen software does the heavy lifting for you so you can focus on providing great products and great services. With it, you’ll be able to turn more strangers into customers and grow your business.

  And you don’t need a ton of tools to get the job done, either. Consolidating your tech stack to a few select tools will help you get more done in less time (and with less confusion).

  In this article, we’ll analyse the top seven lead generation tools to help you grow your business in 2024.

  Let’s dive in.

  What is a lead generation tool ?

  A lead generation tool is software you can use to turn strangers into customers. It helps you draw customers into your sales funnel by learning their contact details, like their email address or phone number.

  

  Lead generation tools are great levers you can pull to drive high-quality leads. They remove the grunt work by automating the lead generation process. 

  Whether it’s through creating lead magnets, offering conversion rate analytics, helping you create high-quality forms or automating the lead follow-up process, lead generation tools can bring in new customers to grow your business.

  The top 7 lead generation tools in 2024

  To land more leads, you need to ensure you’re leveraging the right software. With so many to choose from, here’s just a handful of the best ones available :

  

  1. Matomo : Best conversion optimisation tool

  Matomo is an open-source website analytics tool dedicated to protecting user privacy and data. Trusted on over 1 million websites, the platform offers in-depth insights into your web traffic, including conversion data.

  

  Why Matomo ? Matomo is trusted by over 1 million websites, including the United Nations and the European Commission, making it the leading choice for privacy-focused web analytics.

  It comes equipped with a suite of conversion optimisation features to help you generate more leads. You can easily analyse your target audience’s behaviour while also respecting users’ privacy.

  Standout features : In-depth visitor tracking, From Analytics, Session Recordings, A/B Testing, Heatmaps Marketing Attribution, roll-up reporting (pulling data from multiple sites), Google Analytics importing. and more.

  Integrations : Cloudflare, WooCommerce, Squarespace, Shopify, Drupal, Magento, Vue, SharePoint, WordPress, Wix, Webflow, GoDaddy, Jimdo, Joomla, Kajabi. and more.

  Pricing : Starts free for Matomo On-Premise and increases to $23/month for Matomo Cloud (which includes a free 21-day trial with no credit card required).

  Pros

  • 100% accurate data with no data sampling
  • Leading web analytics tool for respecting visitor privacy
  • Compliant with the strictest privacy laws, like the GDPR
  • No need for cookie consent banner (except in the UK and Germany)
  • Wide range of advanced features to optimise your website and increase conversions
  • Cloud hosting and on-premise options for flexibility

  Cons

  • Matomo On-Premise requires technical expertise (but for the less technical, the Cloud option works instantly)
  • On-Premise plugins are an additional cost

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  2. HubSpot : Best all-in-one CRM for organising leads

  HubSpot is a customer relationship management (CRM) and marketing software with over 194,000 customers worldwide. This user-friendly platform is dedicated to helping businesses of all sizes manage leads and customers.

  

  Why HubSpot ? HubSpot Marketing integrates seamlessly with the HubSpot CRM to help with everything from lead capture to conversion. The platform also features a free version — a great starting place for lead generation and management.

  Standout features : A robust set of no-code lead gen tools, like ads, forms, customisable landing pages, lead capture templates for potential customers, email campaigns, analytics dashboards and a free CRM to track leads.

  Integrations : Google Ads, WordPress, Jotform, Facebook Ads, Magento, Shopify, Weebly, WordPress, Zapier and Drupal.

  Pricing : Starts free for anyone and increases to $800/month for a professional plan.

  Pros

  • User-friendly interface
  • All-in-one lead management solution
  • Easy integration with HubSpot CRM
  • Simple analytics for beginners
  • Includes landing page tools
  • Offers email marketing tools to nurture leads

  Cons

  • Free version has limited functionality
  • Expensive jump to paid plans

  3. Leadfeeder : Best for finding warm B2B leads

  Leadfeeder is a business-to-business (B2B) marketing tool that shows B2B brands which companies are visiting their websites and gives them contact information to reach out to the right decision-makers.

  

  Why Leadfeeder ? Leadfeeder simplifies outreach for B2B organisations because it shows you what businesses are interacting with your website. Rather than trying to reach out to completely cold leads, the tool highlights brands that are already checking out your content and offerings.

  Standout features : Many account-based marketing (ABM) tools enable you to discover B2B accounts with insights into when you should contact them after they visit your site, as well as their job titles. The platform also includes a range of features that notify you and your sales team when qualified B2B leads come to your site so that you can move to capture them quickly.

  Integrations : Zoho, Google Chat, Pipedrive, Salesforce, Google Looker Studio, ActiveCampaign, HubSpot, Mailchimp, Microsoft Dynamics and Slack.

  Pricing : Starts at $139/month (includes a 14-day free trial).

  Pros

  • Easily find prospective customers
  • Track website visitors and potential customers freely
  • Simple filtering capabilities

  Cons

  • Few integrations available
  • Can be difficult to contact customer support

  4. OptinMonster : Best all-in-one lead generation form tool

  Founded in 2013, OptinMonster has over 1.2 million users worldwide. It offers a wide range of lead gen tools led by robust form tools that turn your target audience into leads.

  

  Why OptinMonster ? The platform is one of the most reputable lead generation platforms available. With nearly 100 lead capture templates, it’s highly customisable to almost any business looking to begin capturing leads with different forms.

  Standout features : 95 customisable form templates, drag-and-drop builders, onsite retargeting, segmentation, A/B testing and exit-intent popups that present forms when a user is about to leave the site.

  Integrations : Constant Contact, ConvertKit, ActiveCampaign, Salesforce Pardot, Campaign Monitor, HubSpot, Jilt, Keap and Mailchimp.

  Pricing : Starts at $16/month (no free trial offered).

  Pros

  • Easy drag-and-drop form-builder
  • Wide range of form templates
  • Customisable forms for any business
  • Simple A/B testing to help optimise form performance

  Cons

  • No free trial available
  • Growth features, like onsite retargeting, are only available on higher-tiered plans

  5. Intercom : Best live chat tool for capturing leads

  Intercom is one of the top live chat tools for helping businesses maintain solid communication with their customers. Founded in 2011, this live chat platform serves over 25,000 users around the world with a simple, sophisticated experience and seamless lead generation features.

  

  Why Intercom ? Intercom is a live chat tool first. But many people don’t know it’s also a simple lead capture tool. When people think of lead generation, they think of static or popup forms. But Intercom allows you to capture forms directly within a live chat conversation.

  Standout features : Lead generation via live chat that allows you to naturally capture potential customers’ information to turn them into a lead. The tool also comes equipped with chatbots that can automate the communication and lead gen process on autopilot.

  Integrations : Pipedrive, Typeform, Google Analytics, Zapier, Calendly, Salesforce, Stripe, Campaign Monitor, Clearbit Reveal and HubSpot.

  Pricing : Starts at $39/month (with a 21-day free trial).

  Pros

  • Live chat lead gen capture
  • Chatbot lead generation automation
  • Wide range of integrations and apps
  • User-friendly interface

  Cons

  • Fairly expensive for small businesses
  • Customer support isn’t the fastest

  6. Callingly : Best for making inbound calls with leads

  Callingly is a sophisticated call software that lets you get the most out of every inbound call you get from leads. Founded in 2019, this software company gives valuable insights into your inbound call leads, pulling information from various integrations and forms.

  

  Why Callingly ? Callingly is a robust call software that gathers lead information through forms, lead magnets, landing pages and forms. The software also has intelligent routing, which sends a call to the most relevant salesperson.

  Standout features : Advanced lead routing ensures inbound leads are directed to the most appropriate sales rep based on their unique needs and geographic location. The tool is also equipped with call tracking, analytics, lead source tracking and more to help personalise the experience for quick capture and conversion of leads.

  Integrations : ClickFunnels, Pipedrive, Salesforce, Drip, Aircall, HubSpot, Jotform, OptinMonster, Unbounce and Zapier.

  Pricing : Starts at $49/month (with a 14-day free trial).

  Pros

  • Instantly see robust caller information based on previous interactions
  • Intelligent routing places leads with the right sales reps
  • Call recordings to capture data and transfer it into your CRM
  • Voicemail and caller ID capabilities
  • Reporting and analytics for performance tracking

  Cons

  • Doesn’t include lead segmentation
  • Limited customisations
  • No email integration

  7. Notion : Best for creating informational lead magnets

  Notion is one of the most popular collaboration tools on the Internet. Founded in 2013, the platform has over 35 million users worldwide. While it’s known primarily for its advanced note-taking capabilities, Notion is also a simple tool you can use to create informational lead magnets.

  

  Why Notion ? Notion is a simple yet powerful tool you can use to create almost anything. If you want to generate more leads, then creating a free info product with Notion is a simple and effective way to do that. It enables you to create ebooks, digital courses and video courses without having to rely on expensive software.

  Standout features : Documentation tools, note-taking, collaborative documents and duplication capabilities. It’s simple to create a high-value informational product, like an ebook or course with multiple chapters.

  Integrations : Audienceful, Miro, Momentum, Slack, ChatGPT, Clockify, Desktop.com, SureTriggers, Trello and Google Drive.

  Pricing : Starts at $8/month (no free trial available).

  Pros

  • Easy to create a digital product or lead magnet
  • Leads have access with a simple link
  • Lead magnet can be updated in real time
  • AI writing assistant
  • Drag-and-drop functionality
  • User-friendly interface
  • Low-cost pricing plans

  Cons

  • No free trial available (though there is a free version)
  • Search function could use some improvement
  • Performance isn’t the fastest

  Use Matomo to generate more leads

  If you want more leads, then you need to start tracking your website’s forms.

  With Matomo, you get access to features like Form Analytics, A/B Testing, Heatmaps, and Session Recordings to help with conversion rate optimisation.

  Recently, Concrete CMS leveraged Matomo’s funnel analysis feature to improve its lead capture. The CMS was then able to identify bottlenecks in user onboarding. Matomo’s insights showed that users were getting stuck at the address input stage of the form.

  By tweaking their form, Concrete CMS tripled their leads in just a few days.

  If you want to improve your lead generation, then get started with Matomo’s 21-day free trial today. No credit card required.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

  Your email address
  

  Your website address
  

  Your Analytics subdomain will be .matomo.cloud (change)

  Choose your analytics subdomain
  

  .matomo.cloud

  I accept the terms and conditions and data processing agreement (DPA)

  
  Your information will be used to create an account on our cloud service. For more information please consult our privacy policy.
  
  
  

  Start improving your websites now