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GetID3 - Bloc informations de fichiers
9 avril 2013, par kent1
Mis à jour : Mai 2013
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Autres articles (50)
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Les autorisations surchargées par les plugins
27 avril 2010, par kent1Mediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs -
Librairies et binaires spécifiques au traitement vidéo et sonore
31 janvier 2010, par kent1Les logiciels et librairies suivantes sont utilisées par SPIPmotion d’une manière ou d’une autre.
Binaires obligatoires FFMpeg : encodeur principal, permet de transcoder presque tous les types de fichiers vidéo et sonores dans les formats lisibles sur Internet. CF ce tutoriel pour son installation ; Oggz-tools : outils d’inspection de fichiers ogg ; Mediainfo : récupération d’informations depuis la plupart des formats vidéos et sonores ;
Binaires complémentaires et facultatifs flvtool2 : (...) -
Contribute to a better visual interface
13 avril 2011MediaSPIP is based on a system of themes and templates. Templates define the placement of information on the page, and can be adapted to a wide range of uses. Themes define the overall graphic appearance of the site.
Anyone can submit a new graphic theme or template and make it available to the MediaSPIP community.
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7 Best Marketing Attribution Software in 2024
22 février 2024, par ErinIt can be hard to accurately track the impact of your marketing efforts across marketing channels and campaigns. That’s where marketing attribution software comes in.
It goes beyond basic web analytics solutions that just look at the final click. Instead, it shows how different channels, content, and ads are performing at every step of the buyer’s journey, which gives a more accurate picture than just focusing on the last click.
In this guide, we’ll cover the basics of marketing attribution, list the top marketing attribution software and explain how the issue of privacy is transforming the web analytics industry.
What is marketing attribution ?
Marketing attribution is the process of assigning credit to each touchpoint in a buyer’s journey that leads to a desired action (such as a conversion or sale) in order to understand the effectiveness of various marketing channels and campaigns in influencing the customer’s decision-making process.
Marketers use software tools like website analytics to to track and analyse customer interactions across different touchpoints, allowing them to attribute conversions or sales to specific marketing efforts and optimise their strategies and budgets accordingly.
Why is marketing attribution so important ?
If you don’t track your campaigns correctly, it’s easy to spend thousands (or even millions) in an ineffective way. A 2022 survey by Australian marketing agency Next&Co revealed their clients wasted AU$5.46 billion in ineffective ad spend.
That’s 41% of all the ad spend tracked by Next&Co in 2022. A wasted marketing spend percentage this high isn’t exactly a recipe for a high marketing return on investment (ROI). And yet, it’s the average.
Why is that ?
Most companies don’t actively track the results of their marketing campaigns actively enough.
By improving your marketing attribution, you can determine which channels, ads, and campaigns work and which don’t. Then, you can move the budget from ineffective channels to effective ones.
Even if you can only identify half of your wastage, this could be 20% or more of your total spend. Just imagine what your bottom line would look like if your marketing budget were 20% more effective.
That’s the power that marketing attribution, when done right, brings to the table. It’s the road to a higher marketing ROI.
Common marketing attribution models and how they’re different
The default model for attributing completed goals in most analytics tools is either the last interaction or the last non-direct interaction.
However, some multi-touch models can help you get a more holistic view of the impact of your marketing efforts.
- Last interaction model : attributes the conversion to the final interaction or referring source (campaign or ad).
- Last non-direct interaction model : attributes the conversion to the final touchpoint that was not a direct visit to your website. (For example, if a search ad took them to a product page, the user bookmarked it and returned directly the next day to finish the purchase. The credit would go to the search ad as it’s the last non-direct touchpoint.)
- First interaction model : attributes the conversion to the first referring event alone.
- Linear model : gives equal value to every touchpoint throughout the customer journey.
- Time decay model : gives more value to touchpoints the closer they were to the actual sale.
- Position-based model : gives more value to the first and last touchpoints — often 40% each, while splitting 20% among the rest.
You can read our guide dedicated to marketing attribution models for more details on these models.
Types of marketing attribution software and the impact of privacy regulations
Until recently, digital advertising was the “scientific” advertisers’ utopia. Everything could be measured, with cookies from giants like Google and Facebook stalking every user across the web.
But with the advent of regulations like GDPR and the CCPA, you can no longer blindly trust Google Analytics or the Meta Pixel without consequences.
Multi-channel attribution tools with third-party cookies and GDPR
Google, Meta, and other companies used to track and combine user data from their own platforms and websites across the web that installed their tags. These third-party cookies have long been under fire and have caused several GDPR fines.
The alternative : analytics platforms with first-party cookies
In a post-GDPR digital marketing landscape, a compliant-by-default web analytics platform like Matomo is a more reliable and accurate alternative.
Plus, with a platform like Matomo, you don’t need to rely on data from digital advertising platforms like Facebook Ads and Google Ads. You can accurately track referral sources using our campaign tracking parameters.
7 best marketing attribution software in 2024
Below is the list of our favourite marketing attribution tools in 2024. If you find and use one that suits your needs correctly, you can quickly boost your marketing performance.
1. Matomo — Accurate and easiest to set up for marketing attribution
Matomo is a privacy-friendly web analytics suite that empowers you to accurately attribute marketing efforts and gain valuable insights while prioritising user privacy and compliance.
Matomo integrates with e-commerce platforms like WooCommerce and Magenta. That makes it easy for B2C marketing teams to track the revenue impact of their campaigns.
You can also compare a variety of attribution models against each other. B2B teams can use our API to integrate Matomo with their CRM.
Pros :
- Relies on first-party cookies for tracking, ensuring accurate data collection and attribution of user actions
- Includes additional features like Heatmaps, Session Recordings, Form Analytics, A/B Testing, and more
- Easy to set up and use
- Features most common multi-touch attribution models
Cons :
- Limited to owned channels (website and e-commerce store) due to first-party cookies and data (but you can integrate other data sources through a CRM)
Pricing
The self-hosted version is free. The cloud hosted version starts at $19 per month and includes a 21-day free trial. No credit card requierd.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
2. WhatConverts — Great option for leads-based businesses with high ad spend
WhatConverts is a marketing attribution tool with a focus on lead tracking. With most web analytics setups, it adds call and text tracking to the typical form-only tracking.
Pros :
- Reliable call and text tracking
- Revenue attribution to specific leads (and, by extension, campaigns and ads)
Cons :
- Focused exclusively on leads — little utility for e-commerce companies
Pricing
The cheapest plan starts at $30/month but does not include analytics integrations or form tracking. To access this and advanced flow tracking and attribution features, you need the Elite plan, which starts at $160/month.
3. HubSpot Marketing Hub — Ideal CRM for larger B2B companies
HubSpot is a marketing CRM with attribution features for tracking and analysis.
The platform is very broad — encompassing CRM, email automation and other tools — which makes it challenging to use effectively. The price tag is also quite steep for smaller companies and marketing teams.
Pros :
- Concretely tracks revenue to multiple different touchpoints and marketing channels
- Includes several different multi-touch attribution models
- Allows offline conversion tracking
Cons :
- The price point is too high for smaller teams
- Cam be difficult to set up effectively
Pricing
Since marketing attribution is only included in HubSpot Marketing Hub’s Professional and Enterprise plans, pricing starts at $800/month (paid annually). If you commit for a year but pay monthly, the price is $890/month for the professional plan. This goes up with additional add-ons and as your contacts increase as well.
4. ActiveCampaign — Good CRM option for small B2B companies
ActiveCampaign is a CRM and marketing automation platform that can help you trace leads and revenue back to their source.
Although it has a similar scope of features to HubSpot, it is more affordable and slightly easier to use for beginners.
Pros :
- Tracks sales revenue back to specific marketing touchpoints
- Powerful marketing automation features
Cons :
- B2B companies may need to purchase two plans, one ActiveCampaign marketing and one CRM.
Pricing
Unlike HubSpot, ActiveCampaign offers a much more affordable plan, starting at $29/month billed annually (for up to 1,000 contacts). The marketing and sales CRM bundle starts at $93/month with up to five users.
5. Salesforce Data Cloud for Marketing — Ideal CRM for enterprises
Salesforce is a robust and feature-rich CRM that many enterprises rely on for their sales teams.
That makes Salesforce’s marketing attribution platform a logical choice for existing Salesforce users.
Pros :
- Uses prospect and sales data from CRM to attribute revenue
- Revenue prediction analytics
- Lead scoring to help your sales team focus on high-value leads
Cons :
- Difficult to set up and use
- Clunky and aged user interface
- Relatively high price point
Pricing
The limited Marketing Cloud Account Engagement Growth plan starts at $1,250/month, billed annually. To access advanced cross-channel journeys, you need the Pro plan, which starts at $2,750 monthly.
6. Terminus — Great for account-based marketing
If your marketing team uses an account-based marketing (ABM) approach, Terminus might be the right option for you.
It offers ABM tools like target account event tracking and revenue attribution tools for your marketing campaigns.
Pros :
- Advanced multi-channel revenue attribution tools with a wide range of reports
- Track intent touchpoints back to target accounts
- Reliable revenue predictions help you focus your marketing activities
Cons :
- Complex and difficult to set up, understand and use effectively
- Lacks native integrations with many common advertising platforms and analytics tools
Pricing
Terminus offers no standard pricing plans. You must contact their sales team for a custom quote based on your needs.
7. Adobe Analytics — An analytics for enterprises
Adobe Analytics is part of the Adobe Experience Cloud, with plenty of big data analysis tools for enterprises. Although the platform is quite powerful, it is equally complex and difficult to use. The price point is also prohibitive for many smaller companies.
Pros :
- Very extensive reporting tools
- Predictive analytics give you solid leading indicator for future campaign performance
- Track multiple digital touchpoints across the entire customer journey
Cons :
- Like Google Analytics, Adobe Analytics aggregates your visitor data by default, making compliant “consent-free tracking” — tracking user actions without asking for consent — impossible according to GDPR. (See more differences in Matomo’s comparison against Adobe Analytics and Google Analytics.)
- Prohibitively expensive for most smaller companies
- Very steep learning curve for setting up and using it correctly
Pricing
Adobe Analytics uses usage-based pricing — which means they adjust the pricing based on the traffic volume to your website. Still, their lower price points aren’t exactly SMB-friendly — multiple sources put Adobe’s lowest starting price point at $2,000–2,500 per month.
Get accurate marketing attribution with Matomo (without privacy concerns)
Matomo allows you to do marketing attribution effectively and accurately without compromising your users’ privacy. By default, we only use first-party cookies and offer consent-free tracking – meaning no more annoying cookie consent banners (excluding in Germany and the UK).
If you want to boost your marketing performance without disregarding your users’ privacy, get started with our 21-day free trial. No credit card required. It’s time to make more informed decisions about your marketing campaigns.
Try Matomo for Free
21 day free trial. No credit card required.
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7 Benefits Segmentation Examples + How to Get Started
26 mars 2024, par ErinEvery copywriter knows the importance of selling a product’s benefits, not its features. So why should your marketing efforts be different ?
Answer : they shouldn’t.
It’s time to stop using demographic or behavioural traits to group customers and start using benefits segmentation instead.
Benefits segmentation groups your customers based on the value they get from your product or service. In this article, we’ll cover seven real-life examples of benefits segmentation, explain why it’s so powerful and show how to get started today.
What is benefits segmentation ?
Benefits segmentation is a way for marketers to group their target market based on the value they get from their products or services. It is a form of customer segment marketing. Other types of market segmentation include :
- Geographic segmentation
- Demographic segmentation
- Psychographic segmentation
- Behavioural segmentation
- Firmographic segmentation
Customers could be the same age, from the same industry and live in the same location but want drastically different things from the same product. Some may like the design of your products, others the function, and still more the price.
Whatever the benefits, you can make your marketing more effective by building advertising campaigns around them.
Why use benefits segmentation ?
Appealing to the perceived benefits of your product is a powerful marketing strategy. Here are the advantages of you benefit segmentation can expect :
More effective marketing campaigns
Identifying different benefits segments lets you create much more targeted marketing campaigns. Rather than appeal to a broad customer base, you can create specific ads and campaigns that speak to a small part of your target audience.
These campaigns tend to be much more powerful. Benefits-focused messaging better resonates with your audience, making potential customers more likely to convert.
Better customer experience
Customers use your products for a reason. By showing you understand their needs through benefits segmentation, you deliver a much better customer experience — in terms of messaging and how you develop new products.
In today’s world, experience matters. 80% of customers say a company’s experience is as important as its products and services.
Stronger customer loyalty
When products or services are highly targeted at potential customers, they are more likely to return. More than one-third (36%) of customers would return to a brand if they had a positive experience, even if cheaper or more convenient alternatives exist.
Using benefits segmentation will also help you attract the right kind of people in the first place — people who will become long-term customers because your benefits align with their needs.
Improved products and services
Benefits segmentation makes it easier to tailor products or services to your audiences’ wants and needs.
Rather than creating a product meant to appeal to everyone but doesn’t fulfil a real need, your team can create different ranges of the same product that target different benefits segments.
Higher conversion rates
Personalising your pitch to individual customers is powerful. It drives performance and creates better outcomes for your target customer. Companies that grow faster drive 40 per cent more revenue from personalisation than their slower-growing counterparts.
When sales reps understand your product’s benefits, talking to customers about them and demonstrating how the product solves particular pain points is much easier.
In short, benefits segmentation can lead to higher conversion rates and a better return on investment.
7 examples of benefits segmentation
Let’s take a look at seven examples of real-life benefits segmentation to improve your understanding :
Nectar
Mattress manufacturer Nectar does a great job segmenting their product range by customer benefits. That’s a good thing, given how many different things people want from their mattress.
It’s not just a case of targeting back sleepers vs. side sleepers ; they focus on more specific benefits like support and cooling.
Take a look at the screenshot above. Nectar mentions the benefits of each mattress in multiple places, making it easy for customers to find the perfect mattress. If you care about value, for example, you might choose “The Nectar.” If pressure relief and cooling are important to you, you might pick the “Nectar Premier.”
24 Hour Fitness
A gym is a gym is a gym, right ? Not when people use it to achieve different goals, it’s not. And that’s what 24 Hour Fitness exploits when they sell memberships to their audience.
As you can see from its sales page, 24 Hour Fitness targets the benefits that different customers get from their products :
Customers who just care about getting access to weights and treadmills for as cheap as possible can buy the Silver Membership.
But getting fit isn’t the only reason people go to the gym. That’s why 24 Hour Fitness targets its Gold Membership to those who want the “camaraderie” of studio classes led by “expert instructors.”
Finally, some people value being able to access any club, anywhere in the country. Consumers value flexibility greatly, so 24 Hour Fitness limits this perk to its top-tier membership.
Notion
Notion is an all-in-one productivity and note-taking app that aims to be the only productivity tool people and teams need. Trying to be everything to all people rarely works, however, which is why Notion cleverly tweaks its offering to appeal to the desires of different customer segments :
For price-conscious individuals, it provides a pared solution that doesn’t bloat the user experience with features or benefits these consumers don’t care about.
The Plus tier is the standard offering for teams who need a way to collaborate online. Still, there are two additional tiers for businesses that target specific benefits only certain teams need.
For teams that benefit from a longer history or additional functionality like a bulk export, Notion offers the Business tier at almost double the price of the standard Plus tier. Finally, the Enterprise tier for businesses requires much more advanced security features.
Apple
Apple is another example of a brand that designs and markets products to customers based on specific benefits.
Why doesn’t Apple just make one really good laptop ? Because customers want different things from them. Some want the lightest or smallest laptop possible. Others need ones with higher processing power or larger screens.
One product can’t possibly deliver all those benefits. So, by understanding the precise reasons people need a laptop, Apple can create and market products around the benefits that are most likely to be sold.
Tesla
In the same way Apple understands that consumers need different things from their laptops, Tesla understands that consumers derive different benefits from their cars.
It’s why the company sells four cars (and now a truck) that cover various sizes, top speeds, price points and more.
Tesla even asks customers about the benefits they want from their car when helping them to choose a vehicle. By asking customers to pick how they will use their new vehicle, Tesla can ensure the car’s benefits match up to the consumers’ goals.
Dynamite Brands
Dynamite Brands is a multi-brand, community-based business that targets remote entrepreneurs around the globe. But even this heavily niched-down business still needs to create benefit segments to serve its audience better.
It’s why the company has built several different brands instead of trying to serve every customer under a single banner :
If you just want to meet other like-minded entrepreneurs, you can join the Dynamite Circle, for example. But DC Black might be a better choice if you care more about networking and growing your business.
It’s the same with the two recruiting brands. Dynamite Jobs targets companies that just want access to a large talent pool. Remote First Recruiting targets businesses that benefit from a more hands-on approach to hiring where a partner does the bulk of the work.
Garmin
Do you want your watch to tell the time or do you want it to do more ? If you fall into the latter category, Garmin has designed dozens of watches that target various benefits.
Do you want a watch that tracks your fitness without looking ugly ? Buy the Venu.
Want a watch designed for runners ? Buy the Forerunner.
Do you need a watch that can keep pace with your outdoor lifestyle ? Buy the Instinct.
Just like Apple, Garmin can’t possibly design a single watch that delivers all these benefits. Instead, each watch is carefully built for the target customer’s needs. Yes, it makes the target market smaller, but it makes the product more appealing to those who care about those benefits.
How to get started with benefits segmentation
According to Gartner, 63% of digital marketing leaders struggle with personalisation. Don’t be one of them. Here’s how you can improve your personalisation efforts using benefits segmentation.
Research and define benefits
The first step to getting started with benefit segmentation is understanding all the benefits customers get from your products.
You probably already know some of the benefits, but don’t underestimate the importance of customer research. Hold focus groups, survey customers and read customer reviews to discover what customers love about your products.
Create benefit-focused customer personas
Now you understand the benefits, it’s time to create customer personas that reflect them. Group consumers who like similar benefits and see if they have any other similarities.
Price-conscious consumers may be younger. Maybe people who care about performance have a certain type of job. The more you can do to flesh out what the average benefits-focused consumer looks like, the easier it will be to create campaigns.
Create campaigns focused on each benefit
Now, we get to the fun part. Make the benefit-focused customer personas you created in the last step the focus of your marketing campaigns going forward.
Don’t try to appeal to everyone. Just make your campaigns appeal to these people.
Go deeper with segmentation analytics
The quality of your benefit segmentation strategy hinges on the quality of your data. That’s why using a an accurate web analytics solution like Matomo to track how each segment behaves online using segmentation analytics is important.
This data can make your marketing campaigns more targeted and effective.
Benefits segmentation in practice
Let’s say you have an e-commerce website selling a wide range of household items, and you want to create a benefit segment for “Tech Enthusiasts” who are interested in the latest gadgets and cutting-edge technology. You want to track and analyse their behaviour separately to tailor marketing campaigns or website content specifically for this group.
- Identify characteristics : Determine key characteristics or behaviours that define the “Tech Enthusiasts” segment.
This might include frequent visits to product pages of the latest tech products, site searches that contain different tech product names, engaging with tech-specific content in emails or spending more time on technology-related blog posts.
One quick and surefire way to identify characteristics of a segment is to look historically at specific tech product purchases in your Matomo and work your way backwards to find out what steps a “Tech Enthusiast” takes before making a purchase. For instance, you might look at User Flows to discover this.
- Create segments in Matomo : Using Matomo’s segmentation features, you can create a segment that includes users exhibiting these characteristics. For instance :
- Segment by page visits : Create a segment that includes users who visited tech product pages or spent time on tech blogs.
- Segment by event tracking : If you’ve set up event tracking for specific actions (like clicking on “New Tech” category buttons), create a segment based on these events.
- Combine conditions : Combine various conditions (e.g., pages visited, time spent, specific actions taken) to create a comprehensive segment that accurately represents “Tech Enthusiasts.”
- Track and analyse : Apply this segment to your analytics data in Matomo to track and analyse the behaviour of this group separately. Monitor metrics like their conversion rates, time spent on site or specific products they engage with.
- Tailor marketing : Use the insights from analysing this segment to tailor marketing strategies. This could involve creating targeted campaigns or customising website content to cater specifically to these users.
Remember, the key is to define criteria that accurately represent the segment you want to target, use Matomo’s segmentation tools to isolate this group, and effectively derive actionable insights to cater to their preferences or needs.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
Track your segmentation efforts
Benefits segmentation is a fantastic way to improve your marketing. It can help you deliver a better customer experience, improve your product offering and help your sales reps close more deals.
Segmenting your audience with an analytics platform lets you go even deeper. But doing so in a privacy-sensitive way can be difficult.
That’s why over 1 million websites choose Matomo as their web analytics solution. Matomo provides exceptional segmentation capabilities while remaining 100% accurate and compliant with global privacy laws.
Find out how Matomo’s insights can level up your marketing efforts with our 21-day free trial, no credit card required.
Try Matomo for Free
21 day free trial. No credit card required.
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Accessibility Testing : Why It Matters and How to Get Started
7 mai 2024, par ErinNearly 96% of website homepages had failures with meeting web accessibility criteria in 2024. Aside from not complying with web accessibility laws and regulations, companies are failing a growing number of users with accessibility needs.
With disabilities, chronic illnesses and ageing populations all rising, brands need to take accessibility more seriously.
In this article, we explain why accessibility testing is so important and how you can get started today.
What is accessibility testing ?
Accessibility testing optimises digital experiences to make them accessible for users with a range of disabilities and impairments. This includes users with vision impairments, hearing loss, neurodivergence, motor disabilities and cognitive conditions.
The goal is to create inclusive experiences for everyone by implementing UX principles that address the usability needs of diverse audiences.
To help developers create accessible experiences, the World Wide Web Consortium (W3C) created the Web Content Accessibility Guidelines (WCAG). The international WCAG standards define the Four Principles of Accessibility :
- Perceivable : Information and user interface components must be presentable to users in ways they perceive.
- Operable : User interface components and navigation must be operable.
- Understandable : Information and the operation of user interfaces must be understandable.
- Robust : Content must be robust enough to be interpreted reliably by various user agents, including assistive technologies.
The current version of WCAG (2.2) contains 86 success criteria with three grades representing conformance levels :
- Level A is the minimum conformance rating, indicating that web content is accessible to most users.
- Level AA is the recommended conformance level to make content accessible to almost everyone, including users with severe disabilities.
- Level AAA is the highest conformance rating, making content accessible to everyone, regardless of disability.
Why is accessibility testing important ?
With record numbers of lawsuits over online accessibility cases, it’s clear that companies underestimate the importance of accessibility testing. Here are seven key reasons you should pay more attention to it :
- Create inclusive experiences : Above all, accessibility testing creates inclusive experiences for all users.
- Adhere to accessibility regulations : Accessibility laws in most major markets — including the EU web accessibility policy — make it illegal for companies to discriminate against users with disabilities.
- Social responsibility : Companies have an ethical responsibility to cater to all users and consumers. 57% say they’re more loyal to brands that commit to addressing social inequities.
- Accessibility needs are growing : 16% of the world’s population (1 in 6) experience significant disability and the number will continue to grow as ageing populations rise.
- Improve experiences for everyone : Accessibility improves experiences for all users — for example, 80% of UK viewers aged 18-25 (2021) watch content with subtitles enabled.
- Maximise marketing reach : Platforms like Google prioritise accessibility yearly, making accessible content and experiences more visible.
- Accessibility is profitable : Inclusive companies earn 1.6x more revenue, 2.6x more net income and 2x more profit, according to Accenture (PDF).
Who needs inclusive UX ?
Accessibility testing starts with understanding the usability needs of audiences with disabilities and impairments. Here’s a quick summary of the most common impairments and some of the needs they have in common :
- Visual impairments : Users may rely on screen readers, magnification software, braille displays, etc. or require certain levels of contrast, text sizes and colour combinations to aid visibility.
- Hearing impairments : Users may rely on closed captions and subtitles for video content, transcripts for multimedia content and visual alerts/notifications for updates.
- Motor or mobility impairments : Users might rely on adaptive keyboards, voice recognition and other assistive devices.
- Cognitive and neurological impairments : Users may rely on technologies like text-to-speech software or require simplified user interfaces, contrast designs, etc., to aid comprehension.
- Speech impairments : Users may rely on speech recognition and dictation software for any interaction that requires them to speak (e.g., automated customer service machines).
While accessibility tools can alleviate certain accessibility challenges, inclusive design can remove much of the burden from users. This can involve using plenty of contrast, careful font selection, increasing whitespace and plenty of other design choices.
Refer to the latest version of the WCAG for further guidance.
How to run accessibility testing
Now that we’ve emphasised the importance of accessibility, let’s explain how you can implement your own accessibility testing strategy.
Create your accessibility testing plan
Careful planning is crucial for making accessibility testing affordable and profitable. This starts with identifying the assets you need to test and optimise. This may include :
- Website or web app
- Mobile app
- Videos
- Podcasts and audio
- PDFs
- Marketing emails
Map out all the assets your target audience interacts with and bring them into your accessibility testing plan. Optimising your website for screen readers is great, but you don’t want to forget your marketing emails and exclude vision-impaired users.
Once you’ve got a complete list of assets, identify the elements and interactions with each one that require accessibility testing. For example, on your website, you should optimise navigation, user interfaces, layouts, web forms, etc.
You also need to consider the impact of device types. For example, how touchscreens change the experience for motor impairments.
Now that you know the scope of your testing strategy, it’s time to define your accessibility standards. Use external frameworks like WCAG guidelines and relevant legal requirements to create an internal set of standards.
Once your accessibility standards are complete, train your staff at every level. This includes designers, developers, and content creators — everyone who works on assets is included in your accessibility testing strategy.
Implement your accessibility standards throughout the design and development phases. Aim to create the most inclusive experiences possible before the accessibility testing stage.
Implement accessibility practices at every level
Treating accessibility as an afterthought is the biggest mistake you can make. Aside from neglecting the importance of accessibility, it’s simply not affordable to create assets and then optimise them for accessibility.
Instead, you need to implement accessibility standards in every design and development stage. This way, you create inclusive assets from the beginning, and accessibility testing flags minor fixes rather than overhauls.
By extension, you can take lessons from accessibility tests and update your accessibility standards to improve the quality of future assets.
Set clear specifications in your accessibility standards for everyone to follow. For example, content publishers should be responsible for adding alt-text to all images. Make designers responsible for following contrast guidelines when optimising elements like CTA buttons.
Next, managers can review assets and check for accessibility standards before anything is signed off. This way, you achieve higher test accessibility scores, and most fixes should be minor.
This is the key to making accessibility testing manageable and profitable.
Automate accessibility testing
Automation is the other big factor in making accessibility efficient. With the right tools, you can run tests periodically without any manual workload, collecting data and flagging potential issues at almost no cost.
For example, you can run automated accessibility tests on your website every month to check for common issues. This might flag up pages without alt-text for images, colour issues on a new batch of landing pages or a sudden drop in mobile loading times.
Every automated test you can run reduces the manual workload of optimising accessibility. This frees up more time for the manual tests that require the attention of accessibility experts.
- Free up time for accessibility tasks that require manual testing
- Identify issues with new content, assets, code, etc. faster
- Run automated accessibility testing on new CRO changes
Schedule manual accessibility reviews
While it’s important to automate as much accessibility testing as possible, most accessibility standards require some form of manual testing. If we use the WCAG standards as a guideline, more than 70% of success require manual review and verification, including :
- Testing websites with a screen reader
- Navigating apps by only using a keyword
- Quality assessing closed captions and subtitles
- Testing web forms for people using speech input
- Checking conversion actions for users with mobility issues (CTAs, forms, payments, etc.)
Yes, you can automatically check all images for alt-text, but simply providing alt-text isn’t enough. You also have to review alt-text to make sure they’re descriptive, accurate and informative about the experience.
Once again, the best way to minimise your time spent on manual testing is to implement accessibility standards throughout design and development. Train your content publishers to create alt-text that meets your criteria and editors to review them before pieces are signed off.
This way, you should always have the required alt-text before the content reaches the accessibility testing stage. The same applies to video transcriptions, web forms, website navigation, etc.
Building a culture of accessibility makes the testing process as efficient as possible.
What tools do you need for accessibility testing ?
Now that we’ve covered the key essentials of accessibility testing, let’s look at some of the best accessibility testing tools to help you implement your strategy.
accessiBe : AI-powered accessibility testing automation
accessiBe is an accessibility testing automation and management system. It incorporates two core products : accessWidget for automating UI accessibility and accessFlow as an all-in-one solution for developers.
Key features :
- Automated accessibility testing
- Accessibility widget for easy optimisation
- Product accessibility for web, mobile and native apps
- AI-powered accessibility insights
- Compliance with WCAG, EAA and more
As explained earlier, automation is crucial for making accessibility testing efficient and profitable. With accessiBe, you can automate the first line of accessibility checks so testers only need to get involved when manual action is necessary.
Maze : Intelligent usability testing software
Maze is a usability testing system that uses AI and automation to enhance traditional qualitative testing. You can run automated tests on live websites, capture survey feedback and recruit users to test experiences with real people.
Key features :
- Live website testing
- Feedback surveys
- Usability interviews
- Test recruitment
- Automated analysis
While traditional usability interviews can provide in-depth insights, they’re expensive, time-consuming and difficult to run at scale. Maze’s solution is a hybrid testing system that automates data capture and analysis while supporting real user testing in one system.
Matomo : Empowering people with ethical web analytics
Matomo is a web analytics solution that gives you 100% data ownership while respecting user privacy. Think of this as a Google Analytics alternative that doesn’t use your visitors’ data for advertising purposes.
Key features :
- Privacy-friendly and GDPR-compliant tracking
- Conversion rate optimisation features like heatmaps, session recordings, A/B testing and more
- Accurate, unsampled data – see 40-60% more data than other analytics tools that sample data
- Open-source
Accessibility starts with creating quality experiences for everyone. Matomo reliably captures 100% of the data you need to optimise experiences without losing their trust. Instead of handing their personal info to Google or other tech giants, you retain full data ownership — fully compliant with GDPR, CCPA, etc.
Try Matomo free for 21-days (no credit card required), or speak to our sales team for more info on how Matomo can enhance your site’s user experience and support your accessibility testing strategy.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
UserTesting : Video-based user testing software
UserTesting is the more traditional system for running usability tests with real people. The platform helps you recruit users and manage usability tests with a series of sessions and video interviews.
Key features :
- Usability testing
- Test recruitment
- Live interviews
- AI-powered insights
- Usability services
UserTesting is a slower, more expensive approach to testing experiences, but its video-based interviews allow you to have meaningful conversations with real users.
Siteimprove : WCAG compliance testing
Siteimprove automates website testing, accessibility and optimisation. It includes dedicated tools for checking WCAG and DCI compliance with an automated scoring system. This helps you keep track of scores and identify any accessibility and usability issues faster.
Key features :
- Automated accessibility checks
- Inclusivity scores
- Accessibility recommendations
- Accessibility tracking
- Marketing and revenue attribution
- Usability insights
Siteimprove provides a first line of accessibility testing with automated checks and practical recommendations. It also tracks accessibility scores, including ratings for all three WCAG compliance levels (A, AA and AAA).
Find the value in accessibility testing
Accessibility testing isn’t only a moral obligation ; it’s good business. Aside from avoiding fines and lawsuits, inclusive experiences are increasingly profitable. User bases with accessibility needs are only growing while non-disabled audiences are using accessibility resources like subtitles and transcripts in greater numbers.
Accessibility improves everyone’s experiences, and this only does good things for conversion rates, revenue and profit.
Start building your datasets for accessibility testing today with a Matomo 21-day free trial — no credit card required. Gain 100% ownership over your analytics data while complying with GDPR and other data privacy regulations.
Try Matomo for Free
21 day free trial. No credit card required.