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• Homepage Design : Best Practices & Examples

  5 octobre 2022, par Erin

  Did you know users spend about 50 milliseconds deciding if they like your website’s homepage design or not ?

  With billions of websites and scrolling often done on the go, you have to make a strong first impression because the chances for a once-over are slim. 

  Learn how to design magnetically-appealing website homepages from this guide. 

  What is a homepage in web design ?

  Homepage is the front page of your website — a destination where users land when typing your website URL address. It’s located at the root of the website’s domain (e.g., matomo.org) or a subdomain (e.g., university.webflow.com).

  Design-wise a homepage has two goals :

  • Explain the purpose of the website and present overview information 
  • Provide top-level navigation to lower-level web pages (e.g., blog, sales pages, etc.) 

  Separately, a homepage is also the place where users will return each time they’ll feel stuck and want to start anew. Thus, your homepage website design should provide obvious navigation paths to other website areas.

  6 Must-Know Website Homepage Design Best Practices

  Behind every winning homepage design stands a detailed customer journey map. 

  A customer journey is a schematic representation of how site visitors will move around your website to accomplish various goals. 

  A good customer journey map lists different actions a user will take after landing on your website (e.g., browse product pages, save items to a wishlist, register an account, etc.) — and it does so for different audience segments. 

  

  Your homepage design should help users move from the first step on their journey (e.g., learning about your website) to the final one (e.g., converting to a paid customer). At the same time, your homepage should serve the needs of both new and returning visitors — prospects who may be at a different stage of their journey (e.g., consideration). 

  With the above in mind, let’s take a look at several website homepage design ideas and the reasons why they work. 

  1. Use Familiar Design Elements

  Whether you’re designing a new website or refreshing an old one, it’s always tempting to go “out of the box” — use horizontal scrolling, skip header navigation or include arty animations. 

  Bold design choices work for some brands, mainly those who aren’t using their website as a primary sales channel (e.g., luxury brands). 

  But unfamiliar design patterns can also intimidate a lot of shoppers. In one observational study, people were asked to guess where specific content (e.g., information on international calls) would be placed on a telecom website. 75% of users picked the same location. This means two things :

  • People already have expectations of where specific website information is typically placed 
  • Yet, one in four users struggles to identify the right areas even within standard website layouts

  So why make the job harder for them ? As UX consultant Peter Ramsey rightfully notes : 

  The truth is : designing the best experience isn’t about being unique, it’s about being easy. And guess what feels really easy to use ? Things that feel familiar.

  Therefore, analyse other homepage layout designs in your industry. Pay attention to the number and type of homepage screens and approaches to designing header/footer navigation. 

  Take some of those ideas as your “base”. Then make your homepage design on-brand with unique typography, icons, visuals and other graphic design elements.

  Take a cue from ICAM — a steel manufacturing company. Their niche isn’t typically exciting. Yet, their homepage design stops you in your tracks and tinkers your curiosity to discover more (even if you aren’t shopping for metalware). 

  

  The interesting part is that ICAM uses a rather standard homepage layout. You have a hero image in the first screen, followed by a multi-column layout of their industry expertise and an overview of manufacturers. 

  But this homepage design feels fresh because the company uses plenty of white space, bold typography and vibrant visuals. Also, they delay the creative twist (horizontal scrolling area) to the bottom of the homepage, meaning that it’s less likely to intimidate less confident web users. 

  2. Decide On The Optimal Homepage Layout 

  In web design, a homepage layout is your approach to visually organising different information on the screen. 

  Observant folks will notice that good homepage designs often have the same layout. For example, include a split-view “hero” screen with a call to action on the left and visuals (photo or video) on the left. 

  

  The reason for using similar layouts for website homepage design isn’t a lack of creativity. On the contrary, some layouts have become the “best practice” because they :

  • Offer a great user experience (UX) and don’t confuse first-time visitors 
  • Feel familiar and create a pleasurable sense of deja-vu among users 
  • Have proven to drive higher conversion rates through benchmarks and tests 

  Popular types of website homepage layouts : 

  • Single column – a classic option of presenting main content in a single, vertical column. Good choice for blogs, personal websites and simple corporate sites. 
  • Split screen layout divides the page in two equal areas with different information present. Works best for Ecommerce homepages (e.g., to separate different types of garments) or SaaS websites, offering two product types (e.g., a free personal product version and a business edition). 
  • Asymmetrical layout assumes dividing your homepage into areas of different size and styles. Asymmetry helps create specific focal points for users to draw their attention to the most prominent information. 
  • Grid of cards layout helps present a lot of information in a more digestible manner by breaking down bigger bulks of text into smaller cards — a graphic element, featuring an image and some texts. By tapping a card, users can then access extra content. 
  • Boxes are visually similar to cards, but can be of varying shape. For example, you can have a bigger header-width box area, followed by four smaller boxes within it. Both of these website layouts work well for Ecommerce. 
  • Featured image layout gives visuals (photos and videos) the most prominent placement on the homepage, with texts and other graphic design elements serving a secondary purpose. 
  • F-pattern layout is based on the standard eye movement most people have when reading content on the website. Eye tracking studies found that we usually pay the most attention to information atop of the page (header area), then scan horizontally before dripping down to the next vertical line until we find content that captures our attention. 

  User behaviour analytics (UBA) tools are the best way to determine what type of layout will work for your homepage. 

  For example, you can use Matomo Heatmaps and Session Recording to observe how users navigate your homepage, which areas or links they click and what blockers they face during navigation.

  

  Matomo can capture accurate behavioural insights because we track relative positions to elements within your websites. This approach allows us to provide accurate data for users with different browsers, operating systems, zoom-in levels and fonts. 

  The best part ? You can collect behavioural data from up to 100 different user segments to understand how different audience cohorts engage with your product.

  3. Include a One-Sentence Tagline

  A tagline is a one-line summary of what your company does and what its unique sales proposition (USP) is. It should be short, catchy and distinguish you from competitors.

  A modern homepage design practice is to include a call to action in the first screen. Why ? Because you then instantly communicate or remind of your value proposition to every user — and provide them with an easy way to convert whenever they are ready to do business with you. 

  Here’s how three companies with a similar product, a project management app, differentiate themselves through homepage taglines. 

  Monday.com positions itself as an operating system (OS) for work. 

  

  Basecamp emphasises its product simplicity and openly says that they are different from other overly-complex software. 

  

  Asana, in turn, addresses a familiar user pain point (siloed communication) that it attempts to fix with its product. 

  

  Coming up with the perfect homepage tagline is a big task. You may have plenty of ideas, but little confidence in what version will stick. 

  The best approach ? Let a series of A/B tests decide. You can test a roaster of homepage slogans on a rotating bi-weekly/monthly schedule and track how copy changes affect conversion rates. 

  With Matomo A/B test feature, you can create, track and manage all experiments straight from your web analytics app — and get consolidated reports on total page visitors and conversion rates per each tested variation. 

  

  Beyond slogans, you can also run A/B tests to validate submission form placements, button texts or the entire page layout. 

  For instance, you can benchmark how your new homepage design performs compared to the old version with a subset of users before making it publicly available. 

  4. Highlight The Main Tasks For The User

  Though casual browsing is a thing, most of us head to specific websites with a clear agenda — find information, compare prices, obtain services, etc. 

  Thus, your homepage should provide clear starting points for users’ main tasks (those you’ve also identified as conversion goals on your customer journey maps !).

  These tasks can include : 

  • Account registration 
  • Product demo request 
  • Newsletter sign-up 

  The best website homepage designs organically guide users through a set number of common tasks, one screen at a time. 

  Let’s analyse Sable homepage design. The company offers a no-fee bank account and a credit card product for soon-to-be US transplants. The main task a user has : Decide if they want to try Sable and hopefully open an account with them. 

  

  This mono-purpose page focuses on persuading a prospect that Sable is right for them. 

  The first screen hosts the main CTA with an animated drop-down arrow to keep scrolling. This is likely aimed at first-time visitors that just landed on the page from an online ad or social media post. 

  The second screen serves the main pitch — no-fee, no-hassle access to a US banking account that also helps you build your credit score. 

  The third screen encourages users to learn more about Sable Credit — the flagship product. For the sceptics, the fourth screen offers several more reasons to sign up for the credit product. 

  Then Sable moves on to pitching its second offering — a no-fee debit card with a cashback. Once again, the follow-up screen sweetens the deal by bringing up other perks (higher cashback for popular services like Amazon) and overcoming objections (no SSN required and multi-language support available). 

  The sequence ends with side-by-side product comparison and some extra social proof. 

  In Sable’s case, each homepage screen has a clear purpose and is designed to facilitate one specific user action — account opening. 

  For multi-product companies, the above strategy works great for designing individual landing pages. 

  5. Design Proper Navigation Paths

  All websites have two areas reserved for navigation : 

  • Header menu 
  • Footer menu 

  Designing an effective header menu is more important since it’s the primary tool visitors will use to discover other pages. 

  Your header menu can be :

  • Sticky — always visible as the person keeps scrolling. 
  • Static — e.g., a hidden drop-down menu. 

  If you go for a static header and have a longer homepage layout (e.g., 5+ screens), you also need to add extra navigation elements somewhere mid-page. Or else users might not figure out where to go next and merely bounce off. 

  You can do this by : 

  • Promoting other areas of your website (e.g., sub-category pages) by linking out to them 
  • Adding a carousel of “recent posts”, “recommended reads” and “latest products” 
  • Using buttons and CTAs to direct users towards specific actions (e.g., account registration) or assets (free eBook)

  For instance, cosmetics brand Typology doesn’t have a sticky header on the homepage. Instead, they prompt discovery by promoting different product categories (best sellers, bundles, latest arrivals) and their free skin diagnostic quiz — a great engagement mechanism to retain first time users.

  

  Once the user scrolls down to the bottom of the page, they should have an extra set of navigational options — aka footer links. 

  Again, these help steer the visitor towards discovering more content without scrolling back up to the top of your homepage. 

  Nielsen Norman Group says that people mostly use footers as :

  • A second chance to be convinced — after reading the entire homepage, the user is ready to give your product a go.
    
  • The last resort for hard-to-find content that’s not displayed in global header navigation (e.g., Terms and Conditions or shipping information pages).

  As a rule of thumb, you should designate the following information to the footer : 

  • Utility links (Contact page, Terms & Conditions, Privacy Policy, etc.) 
  • Secondary-task links (e.g., Career page, Investor Details, Media contacts, etc.) 
  • Brands within the organisation (if you operate several) 
  • Customer engagement link (email newsletters and social media buttons)

  The key is to keep the area compact — not more than one standard user screen resolution of 1280×720. 

  6. Show Users What’s Clickable (Or Not) 

  A homepage invites your site visitors on a journey. But if they don’t know which elements to click, they aren’t going to get anywhere.

  Good homepage design makes it obvious which page elements are clickable, i.e., can take the user to a new page or another segment of the homepage. 

  Here are several must-know homepage design tips for better on-page navigation : 

  • Use colour and underline or bold to highlight clickable words. Alternatively, you can change the browser cursor from a standard arrow into another element (e.g., a larger dot or a pointy finger) to indicate when the cursor hovers over a clickable website area. 
  • Make descriptive button texts that imply what will happen when a user clicks the page. Instead of using abstract and generic button texts like “see more” or “learn more”, try a more vibrant language like “dive in” for clicking through to a spa page. 
  • Use a unified hover area to show how different homepage design elements represent a single path or multiple navigation paths. When multiple items are encapsulated in one visual element (e.g., a box), users may be reluctant to click the image because they aren’t sure if it’s one large hit area leading to a single page or if there are multiple hit areas, leading to different pages. 

  Homepage of BEAUSiTE — a whimsical hotel in the Swiss Alps – embodies all of the above design principles. They change the cursor style whenever you scroll into a hit area, use emotive and creative micro-copy for all button texts and clearly distinguish between different homepage elements.

  

  How to Make Your Homepage Design Even More Impactful ? 

  Website homepage design is roughly 20% of pure design work and 80% of behind-the-scenes research. 

  To design a high-performing homepage you need to have data-backed answers to the following questions : 

  • Who are your primary and secondary target audiences ? 
  • Which tasks (1 to 4) you’d want to help them solve through your homepage ?

  You can get the answers to both questions from your web analytics data by using audience segmentation and page transition (behaviour flow) reports in Matomo. 

  Based on these, you can determine common user journeys and tasks people look to accomplish when visiting your website. Next, you can collect even more data with UBA tools  like heatmaps and user session recordings. Then translated the observed patterns into working homepage design ideas. 

  Improve your homepage design and conversion rates with Matomo. Start your free 21-day trial now ! 

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• Google Analytics 4 (GA4) vs Matomo

  7 avril 2022, par Erin

  Google announced that Universal Analytics’ days are numbered. Universal Analytics will be replaced by Google Analytics 4 (or GA4) on the 1st of July 2023. 

  If Google Analytics users want to compare year-on-year data, they have until July 2022 to get set up and start collecting data before the sun sets on Universal Analytics (or UA).

  But is upgrading to Google Analytics 4 the right move ? There’s a lot to consider, and many organisations are looking for an alternative to Google Analytics. So in this blog, we’ll compare GA4 to Matomo – the leading Google Analytics alternative. 

  In this blog, we’ll look at :

  What is Matomo ?

  Matomo is a powerful privacy-first web analytics platform that gives you 100% data ownership. First launched in 2007, Matomo is now the world’s leading open-source web analytics platform and is used by more than 1 million websites. 

  Matomo’s core values are based on ethical data collection and processing. Consistently more businesses and organisations from around the globe are adopting data-privacy-compliant web analytics solutions like Matomo. 

  Matomo offers both Cloud and On-Premise solutions (and a five-star rated WordPress plugin), making for an adaptable and flexible solution. 

  What is Google Analytics 4 ?

  Google Analytics 4 is the latest version of Google Analytics and represents a completely new approach to data-modelling than its predecessor, Universal Analytics. For an in-depth look at how GA4 and UA compare, check out this Google Analytics 4 vs Universal Analytics comparison. 

  Google Analytics 4 will soon be the only available version of analytics software from Google. So what’s the issue ? Surely, in 2022, Google makes it easy to migrate to their newest (and only) analytics platform ? Not quite.

  Google Analytics 4 vs Matomo

  Whilst the core purpose of GA4 and Matomo is similar (providing web analytics that help to optimise your website and grow your business), there are several key differences that organisations should consider before making the switch.

  Importing Historical Data from Universal Analytics

  Google Analytics 4

  Users assuming that historical data from Universal Analytics could be imported into Google Analytics 4 were faced with swift disappointment. Unfortunately, Google Analytics 4 does not have an option to import data from its predecessor, Universal Analytics. This means that businesses won’t be able to import and compare data from previous years.

  Matomo

  If you don’t want to start from scratch with your web analytics data, then Matomo is an ideal solution for data continuity. Matomo offers users the ability to import their historical Universal Analytics data. So you can keep all that valuable historical data you’ve collected over the years.

  

  User Interface

  Google Analytics 4

  GA4’s new user interface has been met with mixed reviews. Many claim that it’s overly complex and difficult to navigate. Some have even suggested that the tool has been designed specifically for enterprises with specialised analytics teams. 

  

  Matomo

  Matomo, on the other hand, is recognised for an easy to use interface, with a rating of 4.5 out of 5 stars for ease of use on Capterra. Matomo perfectly balances powerful features with a user-friendly interface so valuable insights are only a click away. There’s a reason why over 1 million websites are using Matomo. 

  

  Advanced Behavioural Analytics Features 

  Google Analytics 4

  While Google Analytics is undoubtedly robust in some areas (machine learning, for instance), what it really lacks is advanced behavioural analytics. Heatmaps, session recordings and other advanced tools can give you valuable insights into how users are engaging with your site. Well beyond pageviews and other metrics.

  Unfortunately, with this new generation of GA, Google still hasn’t introduced these features. So users have to manage subscriptions and tracking in third-party behavioural analytics tools like Hotjar or Lucky Orange, for example. This is inefficient, costly and time-consuming to manage. 

  

  Matomo 

  Meanwhile, Matomo is a one-stop shop for all of your web analytics needs. Not only do you get access to the metrics you’ve grown accustomed to with Universal Analytics, but you also get built-in behavioural analytics features like Heatmaps, Scroll Depth, Session Recordings and more. 

  Want to know if visitors are reaching your call to action at the bottom of the page ? Scroll Depth will answer that.

  Want to know why visitors aren’t clicking through to the next page ? Heatmaps will give you the insights you need.

  You get the picture – the full picture, that is. 

  

  Data Accuracy

  Google Analytics 4

  GA4 aims to make web and app analytics more privacy-centric by reducing the reliance on cookies to record certain events across platforms and devices. 

  However, when site and application visitors opt-out of cookie tracking, GA4 instead relies on machine learning to fill in the gaps. Data sampling could mean that your business is making business decisions based on inaccurate reports. 

  Matomo

  Data is the backbone of web analytics, so why make critical business decisions on sampled data ? With Matomo, you’re guaranteed 100% unsampled accurate data. So you can rest assured that any decisions you make are based on actual facts. 

  Compliance with Privacy Laws (GDPR, CCPA, etc.) 

  Google Analytics 4

  Google is making changes in an attempt to become compliant with privacy laws. However, even with GA4, users are still transferring data to the US. For this reason, both Austrian and French governments have ruled Google Analytics illegal under GDPR.

  The only possible workaround is “Privacy Shield 2.0”, but GDPR experts are still sceptical of this one. 

  Matomo

  If compliance with global privacy laws is a concern (and it should be), then Matomo is the clear winner here. 

  As an EU hosted web analytics tool, your data is stored in Europe, and no data is transferred to the US. On the other hand, if you choose to self-host, the data is stored in your country of choice.

  In addition, with cookieless tracking enabled, you can say goodbye to those pesky cookie consent screens. 

  Also, remember that under GDPR, and many other data privacy laws like CCPA and LGPD, end users have a legal right to access, amend and/or erase the personal data collected about them. 

  With Matomo you get 100% ownership of your web analytics data. This means that we don’t on-sell to third parties ; can’t claim ownership of the data ; and you can export your data at any time.

  

  Wrap up

  At the end of the day, the worst thing an organisation can do is nothing. Waiting until July 2023 to migrate to GA4 or another web analytics platform would be very disruptive and costly. Organisations need to consider their options now and start migrating in the next few months. 

  With all that said, moving to Google Analytics 4 could prove to be a costly and time-consuming operation. The global trend towards increased data privacy is a threat to platforms like Google Analytics which uses data for advertising and transfers data across borders.

  With Matomo, you get an easy to use all-in-one web analytics platform and keep your historical Universal Analytics data. Plus, you can future-proof your business by being compliant with global privacy laws and get access to advanced behavioural analytics features. 

  There’s a lot to weigh up here but fortunately, getting started with Matomo is easy. Try it free for 21-days (no credit card required) and see for yourself why over 1 million websites choose Matomo. 

  While this is the end of the road for Universal Analytics, it’s also an opportune time for organisations to find a better fit web analytics tool. 

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• Multiprocess FATE Revisited

  26 juin 2010, par Multimedia Mike — FATE Server, Python

  I thought I had brainstormed a simple, elegant, multithreaded, deadlock-free refactoring for FATE in a previous post. However, I sort of glossed over the test ordering logic which I had not yet prototyped. The grim, possibly deadlock-afflicted reality is that the main thread needs to be notified as tests are completed. So, the main thread sends test specs through a queue to be executed by n tester threads and those threads send results to a results aggregator thread. Additionally, the results aggregator will need to send completed test IDs back to the main thread.

  
  
  

  But when I step back and look at the graph, I can’t rationalize why there should be a separate results aggregator thread. That was added to cut down on deadlock possibilities since the main thread and the tester threads would not be waiting for data from each other. Now that I’ve come to terms with the fact that the main and the testers need to exchange data in realtime, I think I can safely eliminate the result thread. Adding more threads is not the best way to guard against race conditions and deadlocks. Ask xine.

  
  
  

  I’m still hung up on the deadlock issue. I have these queues through which the threads communicate. At issue is the fact that they can cause a thread to block when inserting an item if the queue is "full". How full is full ? Immaterial ; seeking to answer such a question is not how you guard against race conditions. Rather, it seems to me that one side should be doing non-blocking queue operations.

  This is how I’m planning to revise the logic in the main thread :

  test_set = set of all tests to execute
  tests_pending = test_set
  tests_blocked = empty set
  tests_queue = multi-consumer queue to send test specs to tester threads
  results_queue = multi-producer queue through which tester threads send results
  while there are tests in tests_pending :
    pop a test from test_set
    if test depends on any tests that appear in tests_pending :
      add test to tests_blocked
    else :
      add test to tests_queue in a non-blocking manner
      if tests_queue is full, add test to tests_blocked
    while there are results in the results_queue :
  
      get a result from result_queue in non-blocking manner
  
      remove the corresponding test from tests_pending
  if tests_blocked is non-empty :
  
    sleep for 1 second
  
    test_set = tests_blocked
  
    tests_blocked = empty set
  
  else :
  
    insert n shutdown signals, one from each thread
  go to the top of the loop and repeat until there are no more tests
  while there are results in the results_queue :
  
    get a result from result_queue in a blocking manner
  

  Not mentioned in the pseudocode (so it doesn’t get too verbose) is logic to check whether the retrieved test result is actually an end-of-thread signal. These are accounted and the whole test process is done when one is received for each thread.

  On the tester thread side, it’s safe for them to do blocking test queue retrievals and blocking result queue insertions. The reason for the 1-second delay before resetting tests_blocked and looping again is because I want to guard against the situation where tests A and B are to be run, A depends of B running first, and while B is running (and happens to be a long encoding test), the main thread is spinning about, obsessively testing whether it’s time to insert A into the tests queue.

  It all sounds just crazy enough to work. In fact, I coded it up and it does work, sort of. The queue gets blocked pretty quickly. Instead of sleeping, I decided it’s better to perform the put operation using a 1-second timeout.

  Still, I’m paranoid about the precise operation of the IPC queue mechanism at work here. What happens if I try to stuff in a test spec that’s a bit too large ? Will the module take whatever I give it and serialize it through the queue as soon as it can ? I think an impromptu science project is in order.

  big-queue.py :

  PLAIN TEXT

  PYTHON :

  1. # !/usr/bin/python
  2.  
  3. import multiprocessing
  4. import Queue
  5.  
  6. def f(q) :
  7.   str = q.get()
  8.   print "reader function got a string of %d characters" % (len(str))
  9.  
  10. q = multiprocessing.Queue()
  11. p = multiprocessing.Process(target=f, args=(q,))
  12. p.start()
  13. try :
  14.   q.put_nowait(’a’ * 100000000)
  15. except Queue.Full :
  16.   print "queue full"

  $ ./big-queue.py
  reader function got a string of 100000000 characters
  

  Since 100 MB doesn’t even make it choke, FATE’s little test specs shouldn’t pose any difficulty.