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The Great Big Beautiful Tomorrow
28 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Texte
Autres articles (5)
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Menus personnalisés
14 novembre 2010, parMediaSPIP utilise le plugin Menus pour gérer plusieurs menus configurables pour la navigation.
Cela permet de laisser aux administrateurs de canaux la possibilité de configurer finement ces menus.
Menus créés à l’initialisation du site
Par défaut trois menus sont créés automatiquement à l’initialisation du site : Le menu principal ; Identifiant : barrenav ; Ce menu s’insère en général en haut de la page après le bloc d’entête, son identifiant le rend compatible avec les squelettes basés sur Zpip ; (...) -
Mise à disposition des fichiers
14 avril 2011, parPar défaut, lors de son initialisation, MediaSPIP ne permet pas aux visiteurs de télécharger les fichiers qu’ils soient originaux ou le résultat de leur transformation ou encodage. Il permet uniquement de les visualiser.
Cependant, il est possible et facile d’autoriser les visiteurs à avoir accès à ces documents et ce sous différentes formes.
Tout cela se passe dans la page de configuration du squelette. Il vous faut aller dans l’espace d’administration du canal, et choisir dans la navigation (...) -
MediaSPIP Player : problèmes potentiels
22 février 2011, parLe lecteur ne fonctionne pas sur Internet Explorer
Sur Internet Explorer (8 et 7 au moins), le plugin utilise le lecteur Flash flowplayer pour lire vidéos et son. Si le lecteur ne semble pas fonctionner, cela peut venir de la configuration du mod_deflate d’Apache.
Si dans la configuration de ce module Apache vous avez une ligne qui ressemble à la suivante, essayez de la supprimer ou de la commenter pour voir si le lecteur fonctionne correctement : /** * GeSHi (C) 2004 - 2007 Nigel McNie, (...)
Sur d’autres sites (2050)
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Use ffmpeg to extract picture from m4v file
31 octobre 2017, par BrianI used a program called MetaZ on my mac to tag all my video files (m4v). I am now trying to use these m4v files in Kodi which requires .nfo files and separate picture files for movie posters, etc. I want to extract the picture that is already in the m4v file.
When I use ffprobe -show_streams, I can see that index4 is a png file (codec_name=png). How do I extract it ? I believe ffmpeg can do it, but can’t figure out how.
Here is the output from ffprobe :
Brians-Mac-mini:PythonScript brianjhille$ ffprobe -show_streams badwords.m4v
ffprobe version N-88046-g0cb8369-tessus Copyright (c) 2007-2017 the FFmpeg developers
built with Apple LLVM version 8.0.0 (clang-800.0.42.1)
configuration: --cc=/usr/bin/clang --prefix=/opt/ffmpeg --extra-version=tessus --enable-avisynth --enable-fontconfig --enable-gpl --enable-libass --enable-libbluray --enable-libfreetype --enable-libgsm --enable-libmodplug --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopus --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libvidstab --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libx264 --enable-libx265 --enable-libxavs --enable-libxvid --enable-libzmq --enable-libzvbi --enable-version3 --pkg-config-flags=--static --disable-ffplay
libavutil 56. 0.100 / 56. 0.100
libavcodec 58. 0.100 / 58. 0.100
libavformat 58. 0.100 / 58. 0.100
libavdevice 58. 0.100 / 58. 0.100
libavfilter 7. 0.100 / 7. 0.100
libswscale 5. 0.100 / 5. 0.100
libswresample 3. 0.100 / 3. 0.100
libpostproc 55. 0.100 / 55. 0.100
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x7fd67b002a00] stream 0, timescale not set
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title : Bad Words
artist : Jason Bateman, Kathryn Hahn, Allison Janney, Philip Baker Hall, Rohan Chand, Ben Falcone, Patricia Belcher, Beth Grant, Rachel Harris, Steve Witting, Greg Cromer
date : 2013-09-06T11:00:00Z
track : 0
disc : 0
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description : A spelling bee loser sets out to exact revenge by finding a loophole and attempting to win as an adult.
synopsis : A spelling bee loser sets out to exact revenge by finding a loophole and attempting to win as an adult.
encoder : HandBrake 0.9.9 2013052900
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Duration: 01:29:02.84, start: 0.000000, bitrate: 1339 kb/s
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title : Chapter 16
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title : Chapter 18
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title : Chapter 20
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[/STREAM]Thanks. Brian
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11 of the Most Effective Conversion Rate Optimisation Best Practices
14 février 2024, par ErinDriving more traffic to your website is hard work, but it’s still only half the battle.
You don’t just need to acquire new users ; you need to make sure as many convert as possible to make your digital marketing efforts worthwhile.
That’s why improving your site’s conversion rate is so important. It will also help you get more value from your existing traffic source and keep you in line with your competitors. It’s also probably a lot easier than you think — especially if you adopt optimisation strategies that have been proven to be profitable time and time again.
In this article, we’ll show some of the most powerful, innovative and tried-and-tested conversion rate optimisation strategies you can implement immediately.
What is conversion rate optimisation ?
First, let’s look at what conversion rate optimisation means. Conversion rate optimisation is the practice of improving elements of your website to increase the number of users who take a desired action and turn visitors into customers.
Common conversion goals include :
- Making a purchase
- Adding an item to a shopping cart
- Signing up for a newsletter
- Registering for a free trial
- Downloading an ebook
- Watching a video
It doesn’t matter what your goal is. Using one of the following conversion rate optimisation best practices can send your conversions soaring.
11 conversion rate optimisation best practices
Are you ready to roll up your sleeves and get to work ? Then use one or more of the following best practices to improve your return on investment.
Set a clear goals and hypothesis
When running an A/B or multivariate test, you need a clear idea of what you are testing and why.
A goal (a statement about what you want to achieve) and a hypothesis (a statement about what you expect to happen) clarify the problem you are trying to solve and give you a definitive way to judge the experiment’s results.
Confused ? Just use this template :
We aim to [insert goal] by testing [insert test] on [insert page]. We expect that [insert test] will increase [insert metric] because [insert reason].
Make sure your goals are directly related to the experiment. If you are testing your CTA button, the goal should be getting more users to click the button. It shouldn’t be a goal further down the conversion funnel, like making a purchase.
Start with A/B tests
A/B testing is one of the easiest and most effective ways to run experiments to improve your current conversion rate. So, it’s no wonder that the A/B testing software market was expected to be worth $1.2 billion in 2023 and hit $3.6 billion by 2033.
Also known as split testing, A/B testing allows you to directly compare the conversion performance of two elements on your page, like the colour of your CTA button or your headline copy.
You can go even further with multivariate testing, which lets you test two or more changes against a single control.
For example, the screenshot above shows the results of a multivariate test between a standard header, a wide header and a small header using Matomo’s A/B testing tool. As you can see, the wider header has a much higher conversion, and the increase was statistically significant.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
Tweak your CTAs
Calls to action (CTAs) are page elements that prompt users to respond immediately. They are usually buttons but can also be images or plain text links.
What your CTAs say, how they look, and where they are placed can greatly impact your site’s conversion rates. As such, this is one of the elements you’ll want to optimise first.
There are several tweaks you can test, including your CTA’s :
- Colour
- Length
- Copy
- Placement
You can even test the impact of removing CTA banners and using text-based CTAs on your conversion rates.
You should test out personalising CTAs, too. Research shows that personalised CTAs perform 202% better than standard calls to action.
Revise your web copy
You can use several strategies to improve your website’s copy and generate more conversions.
Optimising copy for search engines can increase traffic and generate more conversions, for example. But that shouldn’t make your copy any less impactful. Bear search engines in mind, by all means, but make sure you are speaking to the needs and desires of your potential customers. Your copy needs to convince users that your product can solve their problems.
Nowhere is this more important than your headlines. These will be the first thing users read, so make sure they sell your USP and highlight pain points.
Don’t just guess at the kind of messaging that will move the needle, however. Constantly test new headlines and continue doing so even after you’ve started seeing success. The results may surprise you. TruckersReport, a site that helps people become truck drivers, boosted opt-ins by 21.7% by revising its landing page headline, among other changes.
Make sure there are no spelling mistakes in your copy, either. Misspelt words, poor grammar and bad formatting make your website look unprofessional and untrustworthy. Even if the rest of your copy is incredibly enticing, these rookie errors can be enough to turn customers off.
Simplify your site’s navigation
A website’s navigation is an often overlooked factor in conversion rate optimisation, but simplifying it can make it much easier for users to take action.
If you’ve ever used a poorly designed e-commerce store, you know how confusing and overwhelming bad navigation can be. Research shows that a whopping 82% of stores don’t divide their navigation into manageable chunks.
The trick is to simplify your navigation as much as possible. As you can see in the screenshot below, our navigation only has five headers and a call to action. It’s easy to find exactly what you’re looking for, and you can’t miss the big green CTA button.
Alternatively, you can test what happens when you completely remove your navigation. Brands usually do this on landing pages where the only action they want the user to take is to make a purchase.
It’s exactly the strategy we’ve used on our free trial landing page.
Leverage heatmaps
Analytics tools — and heatmaps in particular — can help you understand user behaviour and optimise accordingly.
Heatmaps are a visual representation of user interaction on your page. Red and yellow represent high levels of user interaction, and blue and green represent low levels of interaction.
As you can see in the screenshot above, our CTA button has some of the highest levels of engagement on the page, telling us that it’s well-positioned. Given the focus on the site’s navigation, we can also assume we are correct to have a CTA button in there — something we can confirm using our web analytics to see how many users click on it.
Reduce load time
Speed matters when it comes to conversions. Fact.
Research shows a huge difference in conversion rates between quick and slow sites. For example, a site that loads in one second converts three times better than a site that loads in five seconds.
That’s why using a web analytics tool is vital to understand page load times and act accordingly if you think slow speeds are hampering your conversions.
Identifying your slowest pages is easy with Matomo. Just sort your pages by the Avg. Use the page load time metric on the page performance report to identify the pages you want to drive conversions.
Next, take steps to improve your page’s load time by :
- Compressing images
- Compressing code files or using a more lightweight theme
- Removing unnecessary plugins
- Using a content delivery network
- Improving your hosting
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
Add more trust signals
Trust is essential when you’re trying to convince customers to make a purchase. In fact, consumers rate trust as one of the top three buying factors, far above a brand’s reputation and whether they love the brand.
Adding trust signals to your landing pages, such as customer testimonials, customer reviews, case studies, and other forms of social proof, can transform your conversion rates. If consumers see real people and businesses buy from you, they’ll feel reassured to do the same.
It’s a strategy we use ourselves. Just look at the screenshot from our homepage above. Immediately after our free trial CTA, we display the logos of well-known brands that use our product.
Security-focused trust signals are also powerful if you are an online store. Installing an SSL certificate, showing logos of trusted payment providers (like PayPal and Mastercard) can convince people they are spending money at a legitimate store.
Improve your site’s mobile experience
More and more people are accessing the internet via their smartphones. In 2022, for instance, there were five billion unique mobile Internet users, meaning more than 60% of the internet population used a smartphone to browse online.
Moreover, 76% of U.S. adults make purchases using their smartphones.
That means you need to ensure your site’s mobile experience is on-point to increase conversions.
Your site should use a mobile-first design, meaning it works perfectly on smartphones and then scales up for desktop users.
Trust the data
Opinions are a fantastic form of inspiration for new A/B tests. But they should never be trusted over cold, hard data. If your test shows the opposite of what you and your team thought would happen, then trust the data and not yourself.
With that in mind, ensure you collect qualitative and quantitative data during your experiments. Web analytics should always form the backbone of conversion tests, but don’t forget to also use heatmaps, screen recordings, and customer surveys.
Keep testing
There’s no such word as “finished” in the world of A/B testing. Continual testing is key if you want to convert more website visitors.
Make sure you aren’t stopping tests prematurely, either. Make sure every A/B and multivariate test reaches a sample size that makes the test statistically significant.
Understand your users better with Matomo
Whether you run an e-commerce store, a SaaS company, or a service-based business, implementing these conversion rate optimisation best practices could be an easy way to lower your bounce rate and boost your conversion rates.
But remember, best practices aren’t clear-cut rules. What works for one website may not work for yours. That’s why running your own tests and understanding your visitors’ behaviour is important.
Matomo’s web analytics platform is the perfect tool for doing just that. Not only does it come with the tools you need to optimise your conversion rate (like an A/B testing tool, heatmaps and session recordings), but you can also trust the data. Unlike Google Analytics 4 and other tools, Matomo doesn’t use data sampling meaning you have 100% accurate data from which to make better decisions. It’s GDPR compliant and can run cookieless, so no need for cookie consent banners (excluding in the UK and Germany).
Discover how you can improve your website’s conversions with Matomo by starting a free 21-day trial, no credit card required.
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21 day free trial. No credit card required.
-
GA360 vs GA4 : Key Differences and Challenges
20 mai 2024, par ErinWhile the standard Universal Analytics (UA) was sunset for free users in July 2023, Google Analytics 360 (GA360) users could postpone the switch to GA4 for another 12 months. But time is running out. As July is rapidly approaching, GA360 customers need to prepare for the switch to Google Analytics 4 (GA4) or another solution.
This comparison post will help you understand the differences between GA360 vs. GA4. We’ll dive beneath the surface, examining each solution’s privacy implications and their usability, features, new metrics and measurement methods.
What is Google Analytics 4 (Standard) ?
GA4 is the latest version of Google Analytics, succeeding Universal Analytics. It was designed to address privacy issues with Universal Analytics, which made compliance with privacy regulations like GDPR difficult.
It completely replaced Universal Analytics for free users in July 2023. GA4 Standard features many differences from the original UA, including :
- Tracking and analysis are now events-based.
- Insights are primarily powered by machine learning. (There are fewer reports and manual analysis tools).
- Many users find the user interface to be too complex compared to Universal Analytics.
The new tracking, reports and metrics already make GA4 feel like a completely different web analytics platform. The user interface itself also includes notable changes in navigation and implementation. These changes make the transition hard for experienced analysts and digital marketers alike.
For a more in-depth look at the differences, read our comparison of Google Analytics 4 and Universal Analytics.
What is Google Analytics 360
Google Analytics 360 is a paid version of Google Analytics, mostly aimed at enterprises that need to analyse a large amount of data.
It significantly increases standard limits on data collection, sampling and processing. It also improves data granularity with more custom events and dimensions.
Transitioning from Universal Analytics 360 to GA4 360
You may still use the Universal Analytics tag and interface if you’ve been a Google Analytics 360 customer for multiple years. However, access to Universal Analytics 360 will be discontinued on July 1, 2024. Unlike the initial UA sunset (free version), you won’t be able to access the interface or your data after that, so it will be deleted.
That means you will have to adapt to the new GA4 user interface, reports and metrics before the sunset or find an alternative solution.
What is the difference between GA4 360 and free GA4 ?
The key differences between GA4 360 and free GA4 are higher data limits, enterprise support, uptime guarantees and more robust administrative controls.
GA4 offers most of the same features across the paid and free versions, but there are certain limits on data sampling, data processing and integrations. With the free version, you also can’t define as detailed events using event parameters as you can with GA4 360.
Higher data collection, accuracy, storage and processing limits
The biggest difference that GA4 360 brings to the table is more oomph in data collection, accuracy and analysis.
You can collect more specific data (with 100 event parameters instead of 25 for custom metrics). GA4 360 lets you divide users using more custom dimensions based on events or user characteristics. Instead of 50 per property, you get up to 125 per property.
And with up to 400 custom audiences, 360 is better for companies that heavily segment their users. More audiences, events and metrics per property mean more detailed insights.
Sampling limits are also of a completely different scale. The max sample size in GA4 360 is 100x the free version of GA4, with up to 1 billion events per query. This makes analysis a lot more accurate for high-volume users. A slice of 10 million events is hardly representative if you have 200 million monthly events.
Finally, GA4 360 lets you store all of that data for longer (up to 50 months vs up to 14 months). While new privacy regulations demand that you store user data only for the shortest time possible, website analytics data is often used for year-over-year analysis.
Enterprise-grade support and uptime guarantees
Because GA360 users are generally enterprises, Google offers service-level agreements for uptime and technical support response times.
- Tracking : 99.9% uptime guarantee
- Reporting : 99% uptime guarantee
- Data processing : within 4 hours at a 98% uptime guarantee
The free version of GA4 includes no such guarantees and limited access to professional support in the first place.
Integrations
GA4 360 increases limits for BigQuery and Google Ads Manager exports.
The standard limits in the free version are 1 million events per day to BigQuery. In GA4 360, this is increased to billions of events per day. You also get up to 400 audiences for Search Ads 360 instead of the 100 limit in standard GA4.
Roll-up analytics for agencies and enterprises
If you manage a wide range of digital properties, checking each one separately isn’t very effective. You can export the data into a tool like Looker Studio (formerly Google Data Studio), but this requires extra work.
With GA360, you can create “roll-up properties” to analyse data from multiple properties in the same space. It’s the best way to analyse larger trends and patterns across sites and apps.
Administration and user access controls
Beyond roll-up reporting, the other unique “advanced features” found in GA360 are related to administration and user access controls.
First, GA360 lets you create custom user roles, giving different access levels to different properties. Sub-properties and roll-up properties are also useful tools for data governance purposes. They make it easier to limit access for specific analysts to the area they’re directly working on.
You can also design custom reports for specific roles and employees based on their access levels.
Pricing
While GA4 is free, Google Analytics 360 is priced based on your traffic volume.
With the introduction of GA4, Google implemented a revised pricing model. For GA4 360, pricing typically begins at USD $50,000/year which covers up to 25 million events per month. Beyond this limit, costs increase based on data usage, scaling accordingly.
What’s not different : the interface, metrics, reports and basic features
GA4 360 is the same analytics tool as the free version of GA4, with higher usage limits and a few enterprise features. You get more advanced tracking capabilities and more accurate analysis in the same GA4 packaging.
If you already use and love GA4 but need to process more data, that’s great news. But if you’re using UA 360 and are hesitant to switch to the new interface, not so much.
Making the transition from UA to GA4 isn’t easy. Transferring the data means you need to figure out how to work with the API or use Google BigQuery.
Plus, you have to deal with new metrics, reports and a new interface. For example, you don’t get to keep your custom funnel reports. You need to use “funnel explorations.”
Going from UA to GA4 can feel like starting from scratch in a completely new web analytics tool.
Which version of Google Analytics 4 is right for you ?
Standard GA4 is a cost-effective web analytics option, but it’s not without its problems :
- If you’re used to the UA interface, it feels clunky and difficult to analyse.
- Data sampling is prevalent in the free version, leading to inaccuracies that can negatively affect decision-making and performance.
And that’s just scratching the surface of common GA4 issues.
Google Analytics 4 360 is a more reliable web analytics solution for enterprises. However, it suffers from many issues that made the GA4 transition painful for many free UA users last year.
- You need to rebuild reports and adjust to the new complex interface.
- To transfer historical data, you must use spreadsheets, the API, or BigQuery.
You will still lose some of the data due to changes to the metrics and reporting.
What if neither option is right for you ? Key considerations for choosing a Google Analytics alternative
Despite what Google would like you to think, GA4 isn’t the only option for website analytics in 2024 — far from it. For companies that are used to UA 360, the right alternative can offer unique benefits to your company.
Privacy regulations and future-proofing your analytics and marketing
Although less flagrant than UA, GA4 is still in murky waters regarding compliance with GDPR and other privacy regulations.
And the issue isn’t just that you can get fined (which is bad enough). As part of a ruling, you may be ordered to change your analytics platform and protocol, which can completely disrupt your marketing workflow.
When most marketing teams rely on web analytics to judge the ROI of their campaigns, this can be catastrophic. You may even have to pause campaigns as your team makes the adjustments.
Avoid this risk completely by going with a privacy-friendly alternative.
Features beyond basic web analytics
To understand your users, you need to look at more than just events and conversions.
That’s why some web analytics solutions have built-in behavioural analytics tools. Features like heatmaps (a visual pattern of popular clicks, scrolling and cursor movement) can help you understand how users interact with specific pages.
Matomo allows you to consolidate behavioural analytics and regular web analytics into a single platform. You don’t need separate tools and subscriptions for heatmaps, session recordings, from analytics, media analytics and A/B testing. You can do all of this with Matomo.
With insights about visits, sales, conversions, and usability in the same place, it’s a lot easier to improve your website.
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Usability and familiar metrics
The move to event tracking means new metrics, reports and tools. So, if you’re used to Universal Analytics, it can be tricky to transition to GA4.
But there’s no need to start from zero, learning to work with a brand-new interface. Many competing web analytics platforms offer familiar reports and metrics — ones your team has gotten used to. This will help you speed up the time to value with a shorter learning curve.
Why Matomo is a better option than GA4 360 for UA 360 users
Matomo offers privacy-friendly tracking, built from the ground up to comply with regulations — including IP anonymisation and DoNotTrack settings. You also get 100% ownership of the data, which means we will never use your data for our own profit (unlike Google and other data giants).
This is a big deal, as breaking GDPR rules can lead to fines of up to 4% of your annual revenue. At the same time, you’ll also future-proof your marketing workflow by choosing a web analytics provider built with privacy regulations in mind.
Plus, for legacy UA 360 users, the Matomo interface will also feel a lot more intuitive and familiar. Matomo also provides marketing attribution models you know, like first click, which GA4 has removed.
Finally, you can access various behavioural analytics tools in a single platform — heatmaps, session recordings, form analytics, A/B testing and more. That means you don’t need to pay for separate solutions for conversion rate optimisation efforts.
And the transition is smooth. Matomo lets you import Universal Analytics data and offers ready-made Google Ads integration and Looker Studio Connector.
Join over 1 million websites that choose Matomo as their web analytics solution. Try it free for a 21-days. No credit card required.
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