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• How to increase conversions to meet your business goals

  8 septembre 2020, par Joselyn Khor — Analytics Tips, Marketing
   Through optimizing your messaging, content, or your page layouts, you can increase conversions by getting your visitors through a clear pathway to achieve your business goals.

  Conversion Rate Optimization

  When we talk about optimizing websites to improve and increase conversions, we’re really talking about conversion rate optimization (CRO).

  CRO is the process of learning what the most valuable content/aspect of your website is and how to best optimize this for your visitors to increase its chance to convert. It typically involves generating ideas for elements on your site or app that can be improved, learning which pathways visitors are most likely going to take to conversion and then validating those assumptions through A/B testing and multivariate testing to transform learning into actionable insights.

  Conversion Rate

  The conversion rate is expressed as a % and the goal for any business should be to increase the % of conversions for any given goal e.g. in February a website had 200 newsletter sign-ups from 1,000 visitors on its sign-up page, a conversion rate of 20%. CRO should be used to increase the sign-up rate from 20% to 25%, and then eventually from 25% to 30% and so on.

  CRO cheat sheet

  You need to consider your website or business’ objectives (bigger picture) as well as your website goals (smaller achievements). Whatever the aim of your website, it’s crucial for this to be your starting point. Figure out what you want your website to do and what you want visitors to get from it. When you do that, you’ll know what conversions to focus on.
  

  • Define your business/website’s objectives. Do you want the website to drive sales ? Is the website a hub to raise awareness for a charity ? Do you want to increase readership for your news site ?
  • Define what your conversion goals are. This helps you narrow your focus so you follow a path to meet your overall objectives. By defining these, you clarify for yourself the next actions you should take, such as wanting to funnel users through to a sign up landing page. Then you’ll need to optimize and test your sign up landing page. If conversions are low, then tweak it and measure the results until you find you’ve increased conversion rates.
  • Conversion goals can include :
    • Purchases in your ecommerce store
    • eBook downloads
    • Sign ups to your mailing list
    • Visitors successfully filling in a contact form
  • Figure out what your Key Performance Indicators (KPIs) are and the metrics you need to focus on to achieve them.

  How to increase conversions with Matomo

  1. Set goals
  2. Heatmaps
  3. Session Recordings
  4. A/B test
  5. Form Analytics
  6. Funnels
  7. Behaviour

  1. Set goals

  “Make Sure Goals Are Clearly Understood. To prove the value of an analytics-focused company, any project you take on needs to have clear goals. If you don’t have a goal in mind you’ll fail. Everyone involved in the project needs to be aligned around the goals.”

  A goal is the measure of a successful action that you want your visitors to take. The more goals you track, the more you can learn about behavioural changes as you implement and modify paths that lead to conversions over time.

  

  You’ll understand which channels and campaigns (SEO, PPC, newsletter, blogging etc.) are converting the best for your business, which cities/countries are most popular, what devices are working and how engaged your visitors are before converting. Learn more

  2. Set Heatmaps

  This is vital to show how your visitors are engaging with your website, blog pages, signup and sales pages. If you want to learn how your visitors really engage with your website to increase conversions, Heatmaps lets you see the results visually without any guesswork.

  

  By showing where your visitors try to click, move the mouse or how far down they’re scrolling on each page, you can effortlessly discover how your visitors truly engage with your most important web pages. Rather than guessing, rely on facts to prove if the changes you make actually improve your website or not. Learn more

  How to improve conversion rates with Heatmaps :

  • If you’ve got important information that will sell your service/product or bring you loyal followers, make sure it’s in the hot zones as shown in your heatmaps.
  • Try to rearrange parts of your pages to see if that increases engagement.
  • Make it easy for people to take important actions by having the CTA above-the-fold where 100% of visitors see it. Make sure you don’t clutter this section with too many messages or actions.
  • You can also identify areas to add links as heatmaps shows where people want to click.
  • Find what content is most popular on the page

  3. Session Recordings

  This is a conversion research technique where you learn what your users are trying to do and make sure your website is optimized to give them what they want. With Session Recordings you can playback all the interactions your visitors took on your website, such as clicks, mouse movements, scrolls, resizes, form interactions and page changes in a video. Truly understand how real visitors are using your website and what experiences they’re having.

  Also, by understanding what’s working you’re increasing the usability of your website, Session Recordings allow you to identify problem areas as well as where users are getting stuck. Learn more

  

  How to improve conversion rates with Session Recordings : For example, on a product landing page, you see your visitor highlighting specific words and putting it into search. With this you can observe what they’re trying to find and what they’re actually interested in. As you tweak the page to ensure what the visitor wants can be easily found, you’re taking steps to increase the chance for more conversions.

  4. A/B Testing

  Test anything and test anywhere to increase your conversions. Grow your website by comparing different versions of your landing pages to determine what works best for your users. Subtle tweaks across different versions of your landing pages can have a significant impact on converting incoming traffic.

  

  The changes for each landing page could be :

  • A different headline
  • Less copy vs more copy
  • Different calls-to-action
  • Colour schemes, forms, fonts, links, testimonials,
  • Or, it could be an entirely different page layout altogether.

  The idea is to see if either page A or page B (or C or D) was most successful in getting your visitors to the next step in the conversion funnel. Learn more

  How Matomo used A/B Testing : For our sign up page we tested three different CTAs and found how phrasing words differently could help improve conversion rates. Both “Start improving your websites” and “Start converting more users now” were stronger CTAs and converted 7% more than, “Start my free 30-day trial”.

  5. Form Analytics

  Form Analytics gives you powerful insights into how your visitors interact with your forms (like cart, sign-up and checkout forms).

  

  Online forms can come in thousands of different variations. It’s an area on your website that if not done right, could lead to you missing out on converting a large portion of your visitors. Rely on facts when you change your forms. Learn more

  How to improve conversion rates with Form Analytics : By proving whether your form is doing better when you change it and by how much. This lets you consistently increase form submission rates (conversions) on your website which is crucial to the success of your business.

  6. Funnels

  At a glance you will learn the steps (actions, events and pages) your users go through to the desired outcomes you want them to achieve whether it’s a sale, sign-up or any other particular goal you have defined.

  

  Looking at the entire conversion funnel and focusing on usability, you’ll be able to identify where your visitors are having problems, where they aren’t understanding the flow of your webpages and identify obstacles that get in the way of your users reaching that end goal. Learn more

  How to improve conversion rates with Funnels : Learn what makes your visitors take action (or what stops them) in progressing to the next step in the conversion funnel. At each step, you’ll discover what content/layout resonates with your visitors and you can optimize your website to have the greatest impact on your business.

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  7. Behaviour

  This is one of the most important features to help you optimize your website for conversions. Learning visitor behaviour is a driving force to increase conversions. How ? It lets you identify where you could be taking action to increase conversions. You get to learn first-hand what content or feature on your site is or isn’t working for your visitors. 

  

  Engagement is essential to help increase conversion rates. If your visitors aren’t interested in the content on your site, then there’s very little chance they’ll be interested in what you have to offer. Learn more

  How to improve conversion rates with Behaviour : Get started by reducing bounce rates on important pages, testing messaging on your most popular entry pages, testing on the highest exit pages to reduce visitors leaving the site, learning pathways through Users Flow and Transitions to see if users are taking pathways that lead them to conversions or are the journeys currently long or go in odd directions. Discover how your visitors are responding to your content. The happier your visitors are to stay on your site, the more likely they’ll be able to move through the journey to help you achieve the goals you’ve set for your site.

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  Do privacy-focused industries need conversion optimization ?

  For industries that place extra emphasis on privacy and security, Matomo is a complete analytics tool that can cater for all your needs. You get the full benefits of a web analytics and conversion optimization platform as well as peace of mind knowing Matomo places emphasis on security/privacy and adheres strictly to GDPR.

  If you operate in a data sensitive industry like in government, healthcare, finance, education etc. you can rest assured knowing your user’s privacy is respected and that you will have 100% data ownership.

  Other conversion optimization metrics in Matomo to look at :

  Get a good indication that your conversion optimization efforts are working by knowing where to look and this starts by going through the metrics in your analytics. Below we list how you can make a start.

  “Best” metrics are hard to determine so you’ll need to ask yourself what you want your site to do. How do you want your users to behave or what kind of customer journey do you want them to have ?

  You can start with :

  • Decreasing abandonment rate
  • Decreasing bounce rate
  • Increasing interactions per visit
  • Reducing exit rates on pages that significantly impact your visitors to leave your site
  • Constantly test and learn what content resonates with your visitors
  • Look to advance more users through each stage of the conversion funnel
  • Improve your forms to increase submission rates
  • Always improve the conversion rate % for your goals e.g. if you currently have a 5% conversion rate for selling a product, aim for 10% ; if 30% of your visitors are downloading your e-book, then aim for 40%, then 50% and so on.

  Through optimizing your messaging, content or your page layouts, you will increase conversions by getting your visitors through a clear pathway to meet your website’s goal.

  TRY IT FOR FREE

• Marketing Cohort Analysis : How To Do It (With Examples)

  12 janvier 2024, par Erin

  The better you understand your customers, the more effective your marketing will become. 

  The good news is you don’t need to run expensive focus groups to learn much about how your customers behave. Instead, you can run a marketing cohort analysis using data from your website analytics.

  A marketing cohort groups your users by certain traits and allows you to drill down to discover why they take the actions on your website they do. 

  In this article, we’ll explain what a marketing cohort analysis is, show you what you can achieve with this analytical technique and provide a step-by-step guide to pulling it off. 

  What is cohort analysis in marketing ?

  A marketing cohort analysis is a form of behavioural analytics where you analyse the behavioural patterns of users who share a similar trait to better understand their actions. 

  These shared traits could be anything like the date they signed up for your product, users who bought your service through a paid ad or email subscribers from the United Kingdom.

  It’s a fantastic way to improve your marketing efforts, allowing you to better understand complex user behaviours, personalise campaigns accordingly and improve your ROI. 

  You can run marketing analysis using an analytics platform like Google Analytics or Matomo. With these platforms, you can measure how cohorts perform using traffic, engagement and conversion metrics.

  

  There are two types of cohort analysis : acquisition-based cohort analysis and behavioural-based cohort analysis.

  Acquisition-based cohort analysis

  An acquisition-based cohort divides users by the date they purchased your product or service and tracks their behaviour afterward. 

  For example, one cohort could be all the users who signed up for your product in November. Another could be the users who signed up for your product in October. 

  You could then run a cohort analysis to see how the behaviour of the two cohorts differed. 

  Did the November cohort show higher engagement rates, increased frequency of visits post-acquisition or quicker conversions compared to the October cohort ? Analysing these cohorts can help with refining marketing strategies, optimising user experiences and improving retention and conversion rates.

  As you can see from the example, acquisition-based cohorts are a great way to track the initial acquisition and how user behaviour evolves post-acquisition.

  Behavioural-based cohort analysis

  A behavioural-based cohort divides users by their actions on your site. That could be their bounce rate, the number of actions they took on your site, their average time on site and more.

  

  Behavioural cohort analysis gives you a much deeper understanding of user behaviour and how they interact with your website.

  What can you achieve with a marketing cohort analysis ?

  A marketing cohort analysis is a valuable tool that can help marketers and product teams achieve the following goals :

  

  Understand which customers churn and why

  Acquisition and behavioural cohort analyses help marketing teams understand when and why customers leave. This is one of the most common goals of a marketing cohort analysis. 

  Learn which customers are most valuable

  Want to find out which channels create the most valuable customers or what actions customers take that increase their loyalty ? You can use a cohort analysis to do just that. 

  For example, you may find out you retain users who signed up via direct traffic better than those that signed up from an ad campaign. 

  Discover how to improve your product

  You can even use cohort analysis to identify opportunities to improve your website and track the impact of your changes. For example, you could see how visitor behaviour changes after a website refresh or whether visitors who take a certain action make more purchases. 

  Find out how to improve your marketing campaign

  A marketing cohort analysis makes it easy to find out which campaigns generate the best and most profitable customers. For example, you can run a cohort analysis to determine which channel (PPC ads, organic search, social media, etc.) generates customers with the lowest churn rate. 

  If a certain ad campaign generates the low-churn customers, you can allocate a budget accordingly. Alternatively, if customers from another ad campaign churn quickly, you can look into why that may be the case and optimise your campaigns to improve them. 

  Measure the impact of changes

  You can use a behavioural cohort analysis to understand what impact changes to your website or product have on active users. 

  If you introduced a pricing page to your website, for instance, you could analyse the behaviour of visitors who interacted with that page compared to those who didn’t, using behavioural cohort analysis to gauge the impact of these website changes on engagemen or conversions.

  The problem with cohort analysis in Google Analytics

  Google Analytics is often the first platform marketers turn to when they want to run a cohort analysis. While it’s a free solution, it’s not the most accurate or easy to use and users often encounter various issues. 

  For starters, Google Analytics can’t process user visitor data if they reject cookies. This can lead to an inaccurate view of traffic and compromise the reliability of your insights.

  In addition, GA is also known for sampling data, meaning it provides a subset rather than the complete dataset. Without the complete view of your website’s performance, you might make the wrong decisions, leading to less effective campaigns, missed opportunities and difficulties in reaching marketing goals.

  How to analyse cohorts with Matomo

  Luckily, there is an alternative to Google Analytics. 

  As the leading open-source web analytics solution, Matomo offers a robust option for cohort analysis. With its 100% accurate data, thanks to the absence of sampling, and its privacy-friendly tracking, users can rely on the data without resorting to guesswork. It is a premium feature included with our Matomo Cloud or available to purchase on the Matomo Marketplace for Matomo On-Premise users.

  Below, we’ll show how you can run a marketing cohort analysis using Matomo.

  Set a goal

  Setting a goal is the first step in running a cohort analysis with any platform. Define what you want to achieve from your analysis and choose the metrics you want to measure. 

  For example, you may want to improve your customer retention rate over the first 90 days. 

  Define cohorts

  Next, create cohorts by defining segmentation criteria. As we’ve discussed above, this could be acquisition-based or behavioural. 

  Matomo makes it easy to define cohorts and create charts. 

  In the sidebar menu, click Visitors > Cohorts. You’ll immediately see Matomo’s standard cohort report (something like the one below).

  

  In the example above, we’ve created cohorts by bounce rate. 

  You can view cohorts by weekly, monthly or yearly periods using the date selector and change the metric using the dropdown. Other metrics you can analyse cohorts by include :

  • Unique visitors
  • Return visitors
  • Conversion rates
  • Revenue
  • Actions per visit

  Change the data selection to create your desired cohort, and Matomo will automatically generate the report. 

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

  Start for free

  No credit card required

  Analyse your cohort chart

  Cohort charts can be intimidating initially, but they are pretty easy to understand and packed with insights. 

  Here’s an example of an acquisition-based cohort chart from Matomo looking at the percentage of returning visitors :

  

  Cohorts run vertically. The oldest cohort (visitors between February 13 – 19) is at the top of the chart, with the newest cohort (April 17 – 23) at the bottom. 

  The period of time runs horizontally — daily in this case. The cells show the corresponding value for the metric we’re plotting (the percentage of returning visitors). 

  For example, 98.69% of visitors who landed on your site between February 13 – 19, returned two weeks later. 

  Usually, running one cohort analysis isn’t enough to identify a problem or find a solution. That’s why comparing several cohort analyses or digging deeper using segmentation is important.

  Segment your cohort chart

  Matomo lets you dig deeper by segmenting each cohort to examine their behaviour’s specifics. You can do this from the cohort report by clicking the segmented visitor log icon in the relevant row.

  

  

  Segmenting cohorts lets you understand why users behave the way they do. For example, suppose you find that users you purchased on Black Friday don’t return to your site often. In that case, you may want to rethink your offers for next year to target an audience with potentially better customer lifetime value. 

  Start using Matomo for marketing cohort analysis

  A marketing cohort analysis can teach you a lot about your customers and the health of your business. But you need the right tools to succeed. 

  Matomo provides an effective and privacy-first way to run your analysis. You can create custom customer segments based on almost anything, from demographics and geography to referral sources and user behaviour. 

  Our custom cohort analysis reports and colour-coded visualisations make it easy to analyse cohorts and spot patterns. Best of all, the data is 100% accurate. Unlike other web analytics solution or cohort analysis tools, we don’t sample data. 

  Find out how you can use Matomo to run marketing cohort analysis by trialling us free for 21 days. No credit card required.

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• How to reinsert edited metadata stream information from the FFMETADATAFILE file ? [closed]

  6 septembre 2024, par SENYCH

  I'm working on simplifying and speeding up the process of editing video metadata for user convenience. I've successfully edited metadata streams using console commands, such as :

  


  ffmpeg -i INPUT.mp4 -map 0 -metadata:s:0 "handler_name=An other video" -metadata:s:1 "handler_name=An other audio recording in russian" -metadata:s:2 "handler_name=An other audio recording in english" -metadata:s:3 "handler_name=An other audio recording in japanese" -c copy OUTPUT.mp4


  


  However, I'd like to accomplish this through a ffmetadata file. Here's the approach I've taken :

  


  ffmpeg -t 0 -i INPUT.mp4 -map 0 -c copy -f ffmetadata ffmetadata.txt -hide_banner


  


  Original ffmetadata.txt is :

  


  ;FFMETADATA1
major_brand=isom
minor_version=512
compatible_brands=isomiso2avc1mp41
encoder=Lavf61.5.101
[STREAM]
language=und
handler_name=The best video
vendor_id=[0][0][0][0]
[STREAM]
language=rus
handler_name=The best russian language
vendor_id=[0][0][0][0]
[STREAM]
language=eng
handler_name=The best english language
vendor_id=[0][0][0][0]
[STREAM]
language=jpn
handler_name=The best japanese language
vendor_id=[0][0][0][0]


  


  Edit the ffmetadata.txt file to update the handler_name values :

  


  ;FFMETADATA1
major_brand=isom
minor_version=512
compatible_brands=isomiso2avc1mp41
encoder=Lavf61.5.101
[STREAM]
language=und
handler_name=An other video
vendor_id=[0][0][0][0]
[STREAM]
language=rus
handler_name=An other audio recording in russian
vendor_id=[0][0][0][0]
[STREAM]
language=eng
handler_name=An other audio recording in english
vendor_id=[0][0][0][0]
[STREAM]
language=jpn
handler_name=An other audio recording in japanese
vendor_id=[0][0][0][0]


  


  Attempt to apply the updated metadata from ffmetadata2.txt :

  


  C:\Users\Alexander\Videos>ffmpeg -i INPUT.mp4 -i ffmetadata2.txt -map 0:v -map 0:a -map_metadata 1 -c copy OUTPUT2.mp4 -hide_banner


  


  Despite these steps, I've noticed that only the global metadata is updated, while the metadata for each stream remains unchanged. The console output shows that metadata for each stream is not updated as expected.

  


  What am I missing ? How can I ensure that the stream-specific metadata is also updated correctly when using a ffmetadata file ?

  


  Additional Information :

  


  

  • FFmpeg version : 2024-08-26-git-98610fe95f-full_build

  


  • The ffmetadata file format and the approach I've used should be correct according to the FFmpeg documentation.

  


  


  I would greatly appreciate any recommendations or suggestions on how to solve this problem !

  


  I found a bad solution for my problem, but it still isn't ideal as it requires specifying -map_metadata:s:N 1:s:N for each stream individually, which is quite cumbersome. Is there a way to simplify this process and avoid having to set metadata for each stream separately ?

  


  The command I’m using is :

  


  C:\Users\Alexander\Videos>ffmpeg -i INPUT.mp4 -i ffmetadata2.txt -map 0 -map_metadata:s:0 1:s:0 -map_metadata:s:1 1:s:1 -map_metadata:s:2 1:s:2 -map_metadata:s:3 1:s:3 -c copy OUTPUT2.mp4 -hide_banner


  


  This works, but having to specify -map_metadata:s:N for each stream creates extra work, especially as the number of streams increases. Is there a more efficient way to handle this ?