Sur d’autres sites (5013)

• How to Use Web Analytics to Improve SEO

  5 janvier 2022, par erin — Analytics Tips

  Everyone wants their website to rank highly in Google — and that’s exactly why the world of SEO is so competitive.

  In order to succeed in such a crowded space, it’s essential to equip yourself with the right tools and processes to ensure your website is maximally optimised for search engines.

  If you’d like to improve your website’s SEO rankings, leveraging web analytics is one of the best places to start. Web analytics provides valuable insights to help you assess performance, user behaviour and optimisation opportunities.

  In this blog, we’ll cover :

  The basics of SEO and web analytics

  Before we discuss how to use web analytics for SEO, let’s start with a quick explanation of both.

  SEO (Search Engine Optimisation) encompasses a broad set of activities aimed at increasing a website’s position in search engine results pages (SERPs). When a user enters a query (e.g. ‘marketing agencies in Dallas’) in a search engine, the websites that appear near the top of the page are optimised for search engines and therefore ranking for that particular term. 

  Web analytics refers to the monitoring/assessment of metrics that track traffic sources and user behaviour on a website. This involves the use of a web analytics tool to collect, aggregate, organise and visualise website data so that meaningful conclusions can be drawn.

  The importance of website analytics for SEO

  SEO revolves around search engine algorithms – a set of rules that dictates a website’s ranking for a given search query (i.e. keyword). The algorithm takes numerous factors into account to determine a particular site’s SERP ranking. So, to achieve strong SEO, your website needs to exhibit qualities that the algorithm deems important. That’s where web analytics comes into play.

  Web analytics allows you to track key metrics and data points that affect how the algorithm ranks your website. For example, how much time do users spend on your site ? Which external links are referring traffic to your site ? How do your site’s Core Web Vitals stack up ? 

  Understanding this data will supply you with the insights needed to make positive adjustments, ultimately improving your website’s SEO. 

  How do you analyse a website for SEO ?

  The SEO analysis of a website needs to be focused on relevant data that’s applicable to search engine rankings. When conducting your website SEO analysis, here are some notable metrics and data fields to pay attention to :

  1. Bounce rate and dwell time

  These metrics denote how much time users spend on your website. If users frequently exit your site after only a few seconds, Google may view this as a negative indicator. To reduce bounce rate and increase dwell time, you should work towards making your site’s content more captivating and ensuring that there aren’t any technical issues with your site (e.g. pages taking too long to load or not optimised for mobile).

  

  2. Broken/dead links

  Perform a technical analysis to scan your website for faulty links. If your site contains broken links that lead to 404 pages, this can detract from your website’s SEO rankings. Redirect those links to a related page or remove them.

  

  Matomo’s Crawling Errors report can give you instant access to this technical information so you can resolve it before it begins to impact your ranking.

  3. Scroll depth

  Measuring scroll depth (how far users scroll down the page) can help you gauge the quality of your content — and this goes hand-in-hand with bounce rate and dwell time. To assess scroll depth, you can use a Tag Manager to track the specific scroll percentage on your site’s pages.

  4. Transitions

  Studying how users transition from page to page within your site can help you understand their behaviour more holistically. Which pages do they tend to gravitate towards ? Are there CTAs on your blog that aren’t driving many click-throughs ? Optimising user journeys will, in turn, elevate the overall user experience on your site.

  

  5. Internal site search

  You can use site search tracking and reporting to learn what your audience is looking for. If you notice a trend (e.g. the majority of searches are for pricing because your pricing page isn’t in the navigation menu), this can inform both site architecture and content planning.

  

  Ecommerce sites in particular should be monitoring branded queries, especially in regards to brand misspellings that could be causing users to bounce off the site.

  6. Segments

  Separating your visitors into distinct segments can produce granular insights that paint a more accurate picture.

  For example, perhaps you notice that your bounce rate is far higher on mobile, or with users from the UK. In both cases, this knowledge will provide clarity on where to focus your optimisation efforts (e.g. mobile responsiveness, UK-specific content/landing pages, etc.).

  

  7. Acquisition channels

  It’s crucial to analyse where your website traffic is coming from. Among other things, reviewing your acquisition metrics will reveal which external websites are referring the most traffic to your website. 

  Links from external sites (also known as backlinks) are one of the most important ranking factors because this tells Google that your site is reputable and credible. So, you may choose to cultivate a relationship with these sites (or similar sites) by offering guest blogging and other link building initiatives.

  

  In addition to the above, you should also be monitoring your Core Web Vitals — which leads us to our next section.

  What are Core Web Vitals and why are they important ?

  Core Web Vitals are a set of 3 primary metrics that reflect the general user experience of a website. These metrics are load time, interactivity and stability. 

  1. Load time (LCP) refers to the amount of time it takes for your website’s text and images to load.
  2. Interactivity (FID) refers to the amount of time it takes for user input areas (buttons, form fields, etc.) to become functional.
  3. Stability (CLS) refers to the visual/spatial integrity of your website. If text, images, and other elements tend to suddenly shift position when a user is viewing the site, this will hurt your CLS score.

  

  So, why are these Core Web Vitals metrics important for SEO ? Generally speaking, Google prioritises user experience — and Core Web Vitals affect users’ satisfaction with a website. Furthermore, Google has confirmed that Core Web Vitals are, indeed, a ranking factor.

  Matomo enables you to track metrics for Core Web Vitals which we refer to as SEO Web Vitals.

  How to measure and track keyword performance

  We can’t talk about SEO and analytics without touching on keywords. Keywords (the words/phrases that users type in a search engine) are arguably the most cardinal component of SEO. So, outside of website performance, it’s also necessary to track the keywords your website is ranking for. 

  Recall from above that SEO is all about ranking highly on SERPs for certain search queries (i.e. keywords). To assess your Search Engine Keyword Performance, you can use an analytics tool to view Keyword reports for your website. These reports will show you which keywords your site ranks for, the average SERP position your site achieves for each keyword, the amount of traffic you receive from each keyword, and more.

  

  Digging into your keyword performance can help you identify valuable keyword opportunities and improvement goals.

  For example, upon reviewing your highest-traffic keywords, you may choose to create more blog content around those keywords to bolster your success. Or, perhaps you notice that your average position for a high-intent keyword is quite low. In that case, you could implement a targeted link building campaign to help boost your ranking for that keyword. 

  Final thoughts

  In this article, we’ve discussed the benefits of web analytics — particularly in regards to SEO. When it comes to selecting a web analytics tool, Google Analytics is by far the most popular choice. But that doesn’t make it the best.

  At Matomo, we’re committed to providing a superior alternative to Google Analytics. Matomo is a powerful, open-source web analytics platform that gives you 100% data ownership — protecting both your data and your customers’ privacy.

  Try our live demo or start a free 21-day trial now – no credit card required.

• What is Multi-Touch Attribution ? (And How To Get Started)

  2 février 2023, par Erin — Analytics Tips

  Good marketing thrives on data. Or more precisely — its interpretation. Using modern analytics software, we can determine which marketing actions steer prospects towards the desired action (a conversion event). 

  An attribution model in marketing is a set of rules that determine how various marketing tactics and channels impact the visitor’s progress towards a conversion. 

  Yet, as customer journeys become more complicated and involve multiple “touches”, standard marketing reports no longer tell the full picture. 

  That’s when multi-touch attribution analysis comes to the fore. 

  What is Multi-Touch Attribution ?

  Multi-touch attribution (also known as multi-channel attribution or cross-channel attribution) measures the impact of all touchpoints on the consumer journey on conversion. 

  Unlike single-touch reporting, multi-touch attribution models give credit to each marketing element — a social media ad, an on-site banner, an email link click, etc. By seeing impacts from every touchpoint and channel, marketers can avoid false assumptions or subpar budget allocations.

  To better understand the concept, let’s interpret the same customer journey using a standard single-touch report vs a multi-touch attribution model. 

  Picture this : Jammie is shopping around for a privacy-centred web analytics solution. She saw a recommendation on Twitter and ended up on the Matomo website. After browsing a few product pages and checking comparisons with other web analytics tools, she signs up for a webinar. One week after attending, Jammie is convinced that Matomo is the right tool for her business and goes directly to the Matomo website a starts a free trial. 

  • A standard single-touch report would attribute 100% of the conversion to direct traffic, which doesn’t give an accurate view of the multiple touchpoints that led Jammie to start a free trial. 
  • A multi-channel attribution report would showcase all the channels involved in the free trial conversion — social media, website content, the webinar, and then the direct traffic source.

  In other words : Multi-touch attribution helps you understand how prospects move through the sales funnel and which elements tinder them towards the desired outcome. 

  Types of Attribution Models

  As marketers, we know that multiple factors play into a conversion — channel type, timing, user’s stage on the buyer journey and so on. Various attribution models exist to reflect this variability. 

  

  First Interaction attribution model (otherwise known as first touch) gives all credit for the conversion to the first channel (for example — a referral link) and doesn’t report on all the other interactions a user had with your company (e.g., clicked a newsletter link, engaged with a landing page, or browsed the blog campaign).

  First-touch helps optimise the top of your funnel and establish which channels bring the best leads. However, it doesn’t offer any insight into other factors that persuaded a user to convert. 

  Last Interaction attribution model (also known as last touch) allocates 100% credit to the last channel before conversion — be it direct traffic, paid ad, or an internal product page.

  The data is useful for optimising the bottom-of-the-funnel (BoFU) elements. But you have no visibility into assisted conversions — interactions a user had prior to conversion. 

  Last Non-Direct attribution model model excludes direct traffic and assigns 100% credit for a conversion to the last channel a user interacted with before converting. For instance, a social media post will receive 100% of credit if a shopper buys a product three days later. 

  This model is more telling about the other channels, involved in the sales process. Yet, you’re seeing only one step backwards, which may not be sufficient for companies with longer sales cycles.

  Linear attribution model distributes an equal credit for a conversion between all tracked touchpoints.

  For instance, with a four touchpoint conversion (e.g., an organic visit, then a direct visit, then a social visit, then a visit and conversion from an ad campaign) each touchpoint would receive 25% credit for that single conversion.

  This is the simplest multi-channel attribution modelling technique many tools support. The nuance is that linear models don’t reflect the true impact of various events. After all, a paid ad that introduced your brand to the shopper and a time-sensitive discount code at the checkout page probably did more than the blog content a shopper browsed in between. 

  Position Based attribution model allocates a 40% credit to the first and the last touchpoints and then spreads the remaining 20% across the touchpoints between the first and last. 

  This attribution model comes in handy for optimising conversions across the top and the bottom of the funnel. But it doesn’t provide much insight into the middle, which can skew your decision-making. For instance, you may overlook cases when a shopper landed via a social media post, then was re-engaged via email, and proceeded to checkout after an organic visit. Without email marketing, that sale may not have happened.

  Time decay attribution model adjusts the credit, based on the timing of the interactions. Touchpoints that preceded the conversion get the highest score, while the first ones get less weight (e.g., 5%-5%-10%-15%-25%-30%).

  This multi-channel attribution model works great for tracking the bottom of the funnel, but it underestimates the impact of brand awareness campaigns or assisted conversions at mid-stage. 

  Why Use Multi-Touch Attribution Modelling

  Multi-touch attribution provides you with the full picture of your funnel. With accurate data across all touchpoints, you can employ targeted conversion rate optimisation (CRO) strategies to maximise the impact of each campaign. 

  Most marketers and analysts prefer using multi-touch attribution modelling — and for some good reasons.

  Issues multi-touch attribution solves 

  • Funnel visibility. Understand which tactics play an important role at the top, middle and bottom of your funnel, instead of second-guessing what’s working or not. 
  • Budget allocations. Spend money on channels and tactics that bring a positive return on investment (ROI). 
  • Assisted conversions. Learn how different elements and touchpoints cumulatively contribute to the ultimate goal — a conversion event — to optimise accordingly. 
  • Channel segmentation. Determine which assets drive the most qualified and engaged leads to replicate them at scale.
  • Campaign benchmarking. Compare how different marketing activities from affiliate marketing to social media perform against the same metrics.

  How To Get Started With Multi-Touch Attribution 

  To make multi-touch attribution part of your analytics setup, follow the next steps :

  1. Define Your Marketing Objectives 

  Multi-touch attribution helps you better understand what led people to convert on your site. But to capture that, you need to first map the standard purchase journeys, which include a series of touchpoints — instances, when a prospect forms an opinion about your business.

  Touchpoints include :

  • On-site interactions (e.g., reading a blog post, browsing product pages, using an on-site calculator, etc.)
  • Off-site interactions (e.g., reading a review, clicking a social media link, interacting with an ad, etc.)

  Combined these interactions make up your sales funnel — a designated path you’ve set up to lead people toward the desired action (aka a conversion). 

  Depending on your business model, you can count any of the following as a conversion :

  • Purchase 
  • Account registration 
  • Free trial request 
  • Contact form submission 
  • Online reservation 
  • Demo call request 
  • Newsletter subscription

  So your first task is to create a set of conversion objectives for your business and add them as Goals or Conversions in your web analytics solution. Then brainstorm how various touchpoints contribute to these objectives. 

  Web analytics tools with multi-channel attribution, like Matomo, allow you to obtain an extra dimension of data on touchpoints via Tracked Events. Using Event Tracking, you can analyse how many people started doing a desired action (e.g., typing details into the form) but never completed the task. This way you can quickly identify “leaking” touchpoints in your funnel and fix them. 

  2. Select an Attribution Model 

  Multi-attribution models have inherent tradeoffs. Linear attribution model doesn’t always represent the role and importance of each channel. Position-based attribution model emphasises the role of the last and first channel while diminishing the importance of assisted conversions. Time-decay model, on the contrary, downplays the role awareness-related campaigns played.

  To select the right attribution model for your business consider your objectives. Is it more important for you to understand your best top of funnel channels to optimise customer acquisition costs (CAC) ? Or would you rather maximise your on-site conversion rates ? 

  Your industry and the average cycle length should also guide your choice. Position-based models can work best for eCommerce and SaaS businesses where both CAC and on-site conversion rates play an important role. Manufacturing companies or educational services providers, on the contrary, will benefit more from a time-decay model as it better represents the lengthy sales cycles. 

  3. Collect and Organise Data From All Touchpoints 

  Multi-touch attribution models are based on available funnel data. So to get started, you will need to determine which data sources you have and how to best leverage them for attribution modelling. 

  Types of data you should collect : 

  • General web analytics data : Insights on visitors’ on-site actions — visited pages, clicked links, form submissions and more.
  • Goals (Conversions) : Reports on successful conversions across different types of assets. 
  • Behavioural user data : Some tools also offer advanced features such as heatmaps, session recording and A/B tests. These too provide ample data into user behaviours, which you can use to map and optimise various touchpoints.

  You can also implement extra tracking, for instance for contact form submissions, live chat contacts or email marketing campaigns to identify repeat users in your system. Just remember to stay on the good side of data protection laws and respect your visitors’ privacy. 

  Separately, you can obtain top-of-the-funnel data by analysing referral traffic sources (channel, campaign type, used keyword, etc). A Tag Manager comes in handy as it allows you to zoom in on particular assets (e.g., a newsletter, an affiliate, a social campaign, etc). 

  Combined, these data points can be parsed by an app, supporting multi-touch attribution (or a custom algorithm) and reported back to you as specific findings. 

  Sounds easy, right ? Well, the devil is in the details. Getting ample, accurate data for multi-touch attribution modelling isn’t easy. 

  Marketing analytics has an accuracy problem, mainly for two reasons :

  • Cookie consent banner rejection 
  • Data sampling application

  Please note that we are not able to provide legal advice, so it’s important that you consult with your own DPO to ensure compliance with all relevant laws and regulations.

  If you’re collecting web analytics in the EU, you know that showing a cookie consent banner is a GDPR must-do. But many consumers don’t often rush to accept cookie consent banners. The average consent rate for cookies in 2021 stood at 54% in Italy, 45% in France, and 44% in Germany. The consent rates are likely lower in 2023, as Google was forced to roll out a “reject all” button for cookie tracking in Europe, while privacy organisations lodge complaints against individual businesses for deceptive banners. 

  For marketers, cookie rejection means substantial gaps in analytics data. The good news is that you can fill in those gaps by using a privacy-centred web analytics tool like Matomo. 

  Matomo takes extra safeguards to protect user privacy and supports fully cookieless tracking. Because of that, Matomo is legally exempt from tracking consent in France. Plus, you can configure to use our analytics tool without consent banners in other markets outside of Germany and the UK. This way you get to retain the data you need for audience modelling without breaching any privacy regulations. 

  Data sampling application partially stems from the above. When a web analytics or multi-channel attribution tool cannot secure first-hand data, the “guessing game” begins. Google Analytics, as well as other tools, often rely on synthetic AI-generated data to fill in the reporting gaps. Respectively, your multi-attribution model doesn’t depict the real state of affairs. Instead, it shows AI-produced guesstimates of what transpired whenever not enough real-world evidence is available.

  4. Evaluate and Select an Attribution Tool 

  Google Analytics (GA) offers several multi-touch attribution models for free (linear, time-decay and position-based). The disadvantage of GA multi-touch attribution is its lower accuracy due to cookie rejection and data sampling application.

  At the same time, you cannot create custom credit allocations for the proposed models, unless you have the paid version of GA, Google Analytics 360. This version of GA comes with a custom Attribution Modeling Tool (AMT). The price tag, however, starts at USD $50,000 per year. 

  Matomo Cloud offers multi-channel conversion attribution as a feature and it is available as a plug-in on the marketplace for Matomo On-Premise. We support linear, position-based, first-interaction, last-interaction, last non-direct and time-decay modelling, based fully on first-hand data. You also get more precise insights because cookie consent isn’t an issue with us. 

  Most multi-channel attribution tools, like Google Analytics and Matomo, provide out-of-the-box multi-touch attribution models. But other tools, like Matomo On-Premise, also provide full access to raw data so you can develop your own multi-touch attribution models and do custom attribution analysis. The ability to create custom attribution analysis is particularly beneficial for data analysts or organisations with complex and unique buyer journeys. 

  Conclusion

  Ultimately, multi-channel attribution gives marketers greater visibility into the customer journey. By analysing multiple touchpoints, you can establish how various marketing efforts contribute to conversions. Then use this information to inform your promotional strategy, budget allocations and CRO efforts. 

  The key to benefiting the most from multi-touch attribution is accurate data. If your analytics solution isn’t telling you the full story, your multi-touch model won’t either. 

  Collect accurate visitor data for multi-touch attribution modelling with Matomo. Start your free 21-day trial now. 

• Matomo analytics for wordpress

  15 octobre 2019, par Matomo Core Team — Community
  Self-hosting web analytics got a whole lot easier ! Introducing Matomo for WordPress

  Be the first to try it out ! Your feedback is much needed and appreciated

  Get a fully functioning Matomo (which is comparable to Google Analytics) in seconds ! How ? With the new Matomo Analytics for WordPress plugin. 

  Web analytics in WordPress has never been easier to get, or more powerful. Matomo Analytics for WordPress is the one-stop problem solver. It’ll save you time, money and give you the insights to help your website or business succeed. 

  Best of all, we get to further the goal of decentralising the internet. Our hope is for Matomo Analytics for WordPress to spread far and wide. We’re so excited that more and more people can now get their hands on this powerful, free, open-source analytics platform, in a few clicks !

  Download now and check it out !

  Get Matomo for WordPress

  What do you get ?

  • No more signing up to third party analytics service (like Google)
  • No more sending away your valuable data to a third party service (like Google)
  • Easy setup – install with a few clicks, no tracking code installation or developer knowledge needed
  • 100% accurate data – no data sampling and no data limits 
  • Full data ownership – all data is stored on your servers and no one else can see your data
  • Privacy protection / GDPR compliance
  • Ecommerce tracking out-of-the-box (Woocommerce, Easy Digital Downloads, and MemberPress) and we’re keen to add many more over time
  • Powerful features – segmenting, comparing reports, different visualisations, real-time reports, visit logs and visitor profiles, Matomo Tag Manager, dashboards, data export, APIs, and many more
  • Compared to other WordPress solutions we don’t charge you extra for basic features that should work out-of-the-box
  • Just like Matomo On-Premise, Matomo Analytics for WordPress is free

  We need your feedback !

  We all know and love the versatility of WordPress – with over 55,000 plugins and all the different ways of hosting it. However, with this great versatility comes the potential for things to be missed, so we’re keen to hear your feedback.

  • Is our plugin breaking anything on your WordPress, or, not compatible with something ? Please create an issue on our repository.
  • Is something not working ? If so, what ? Please create an issue on our repository.
  • How does running Matomo impact the performance of your WordPress server ? Also, if you have any other feedback for us – whether good or bad – please email us at wordpress@matomo.org. We’d love to hear what you think !
  • Can you perform a security review of the plugin ? Security issues are best reported to security@matomo.org
  • Do you have any questions ? Questions are best asked in our forum

  Thank you ! We really appreciate your help on this ❤️

  How do you get Matomo Analytics for WordPress ?

  Get Matomo for WordPress

  Log in to your WordPress and go to “Plugins => Add New”, search for “Matomo Analytics – Ethical Stats. Powerful Insights”, click on “Install” and then “Activate”.

  All you need is at least WordPress 4.8 and PHP 7.0 or later. MySQL 5.1+ is recommended. 

  The source code is available at : https://github.com/matomo-org/wp-matomo/. 
  

  In perfect harmony : Matomo and WordPress

  

  The idea for this started two years ago when we realised the similarities between the Matomo and WordPress project. 

  Not only from a technological point of view – where both are based on PHP and MySQL and can be extended using plugins – but also from a philosophical, license and values point of view. We both believe in privacy, security, data ownership, openness, transparency, having things working out-of-the-box, simplicity etc. 

  WordPress is currently used on approximately 30% of all websites. Many of them use the self-hosted open-source WordPress version. Giving everyone in this market the opportunity to easily get a powerful web analytics platform for free, means a lot to us. We believe WordPress users get a real choice besides the standard solution of Google Analytics, and it furthers our effort and goal of decentralising the internet. 

  We’re hoping more people will be empowered to protect user privacy, have access to a great free and open-source tool, and keep control of data in their own hands.

  We hope you feel the same. Help us spread the word to your friends and get them in on this awesome new project !

  Share on facebook

  Share on twitter

  Share on linkedin

  FAQs

  Isn’t there already a WP-Matomo plugin for WordPress available ?

  Yes, the existing WP-Matomo (WP-Piwik) plugin is an awesome plugin to connect your existing Matomo On-Premise or Matomo Cloud account with WordPress. The difference is that this new plugin installs Matomo Analytics fully in your WordPress. So you get the convenience of having a powerful analytics platform within your WordPress.

  We highly recommend you install this new plugin if you use WordPress and are not running Matomo yet. 

  If you are already using Matomo on our Cloud or On-Premise, we’d still highly recommend you use WP-Matomo (WP-Piwik). So that you get an easier way of inserting the tracking code into your WordPress site and get insights faster.

  I have a high traffic website, will it be an issue ?

  If you have a lot of traffic, we’d advise you to install Matomo On-Premise separately. There’s no specific traffic threshold we can give you on when it’s better to use Matomo On-Premise. It really depends on your server. 

  We reckon if you have more than 500,000 page views a month, you may want to think about using Matomo On-Premise with WP-Matomo instead, but this is just an estimate. In general, if the load on your server is already quite high, then it might be better to install Matomo on a separate server. See also recommended server sizing for running Matomo.

  How do I report a bug or request a new feature in Matomo for WordPress ?

  Please create an issue, on our repository whenever you find a bug or if you have any suggestion or ideas of improvement. We want to build an outstanding analytics experience for WordPress !

  Have another question you’re dying to ask ? The Matomo for WordPress FAQ page might have the answer you need. 

  Matomo Analytics for WordPress newsletter

  Get ahead of the crowd – signup to our exclusive Matomo for WordPress newsletter to get the latest updates on this exciting new project.

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     this.fieldAndListValidation();<br />
     this.updateFormAfterValidation();<br />
   },<br />
<br />
   emailValidation: function() {<br />
     var email = document.getElementById('signup_email');<br />
<br />
     if (this.validEmail.test(email.value)) {<br />
       this.removeTextFieldError(email);<br />
     } else {<br />
       this.textFieldError(email);<br />
       this.isValid = false;<br />
     }<br />
   },<br />
<br />
   fieldAndListValidation: function() {<br />
     var fields = this.form.querySelectorAll('.mimi_field.required');<br />
<br />
     for (var i = 0; i &lt; fields.length; ++i) {<br />
       var field = fields[i],<br />
           type  = this.fieldType(field);<br />
       if (type === 'checkboxes' || type === 'radio_buttons' || type === 'age_check') {<br />
         this.checkboxAndRadioValidation(field);<br />
       } else {<br />
         this.textAndDropdownValidation(field, type);<br />
       }<br />
     }<br />
   },<br />
<br />
   fieldType: function(field) {<br />
     var type = field.querySelectorAll('.field_type');<br />
<br />
     if (type.length) {<br />
       return type[0].getAttribute('data-field-type');<br />
     } else if (field.className.indexOf('checkgroup') &gt;= 0) {<br />
       return 'checkboxes';<br />
     } else {<br />
       return 'text_field';<br />
     }<br />
   },<br />
<br />
   checkboxAndRadioValidation: function(field) {<br />
     var inputs   = field.getElementsByTagName('input'),<br />
         selected = false;<br />
<br />
     for (var i = 0; i &lt; inputs.length; ++i) {<br />
       var input = inputs[i];<br />
       if((input.type === 'checkbox' || input.type === 'radio') &amp;&amp; input.checked) {<br />
         selected = true;<br />
       }<br />
     }<br />
<br />
     if (selected) {<br />
       field.className = field.className.replace(/ invalid/g, '');<br />
     } else {<br />
       if (field.className.indexOf('invalid') === -1) {<br />
         field.className += ' invalid';<br />
       }<br />
<br />
       this.isValid = false;<br />
     }<br />
   },<br />
<br />
   textAndDropdownValidation: function(field, type) {<br />
     var inputs = field.getElementsByTagName('input');<br />
<br />
     for (var i = 0; i &lt; inputs.length; ++i) {<br />
       var input = inputs[i];<br />
       if (input.name.indexOf('signup') &gt;= 0) {<br />
         if (type === 'text_field') {<br />
           this.textValidation(input);<br />
         } else {<br />
           this.dropdownValidation(field, input);<br />
         }<br />
       }<br />
     }<br />
     this.htmlEmbedDropdownValidation(field);<br />
   },<br />
<br />
   textValidation: function(input) {<br />
     if (input.id === 'signup_email') return;<br />
<br />
     if (input.value) {<br />
       this.removeTextFieldError(input);<br />
     } else {<br />
       this.textFieldError(input);<br />
       this.isValid = false;<br />
     }<br />
   },<br />
<br />
   dropdownValidation: function(field, input) {<br />
     if (input.value) {<br />
       field.className = field.className.replace(/ invalid/g, '');<br />
     } else {<br />
       if (field.className.indexOf('invalid') === -1) field.className += ' invalid';<br />
       this.onSelectCallback(input);<br />
       this.isValid = false;<br />
     }<br />
   },<br />
<br />
   htmlEmbedDropdownValidation: function(field) {<br />
     var dropdowns = field.querySelectorAll('.mimi_html_dropdown');<br />
     var _this = this;<br />
<br />
     for (var i = 0; i &lt; dropdowns.length; ++i) {<br />
       var dropdown = dropdowns[i];<br />
<br />
       if (dropdown.value) {<br />
         field.className = field.className.replace(/ invalid/g, '');<br />
       } else {<br />
         if (field.className.indexOf('invalid') === -1) field.className += ' invalid';<br />
         this.isValid = false;<br />
         dropdown.onchange = (function(){ _this.validate(); });<br />
       }<br />
     }<br />
   },<br />
<br />
   textFieldError: function(input) {<br />
     input.className   = 'required invalid';<br />
     input.placeholder = input.getAttribute('data-required-field');<br />
   },<br />
<br />
   removeTextFieldError: function(input) {<br />
     input.className   = 'required';<br />
     input.placeholder = '';<br />
   },<br />
<br />
   onSelectCallback: function(input) {<br />
     if (typeof Widget === 'undefined' || !Widget.BasicDropdown) return;<br />
<br />
     var dropdownEl = input.parentNode,<br />
         instances  = Widget.BasicDropdown.instances,<br />
         _this = this;<br />
<br />
     for (var i = 0; i &lt; instances.length; ++i) {<br />
       var instance = instances[i];<br />
       if (instance.wrapperEl === dropdownEl) {<br />
         instance.onSelect = function(){ _this.validate() };<br />
       }<br />
     }<br />
   },<br />
<br />
   updateFormAfterValidation: function() {<br />
     this.form.className   = this.setFormClassName();<br />
     this.submit.value     = this.submitButtonText();<br />
     this.submit.disabled  = !this.isValid;<br />
     this.submit.className = this.isValid ? 'submit' : 'disabled';<br />
   },<br />
<br />
   setFormClassName: function() {<br />
     var name = this.form.className;<br />
<br />
     if (this.isValid) {<br />
       return name.replace(/\s?mimi_invalid/, '');<br />
     } else {<br />
       if (name.indexOf('mimi_invalid') === -1) {<br />
         return name += ' mimi_invalid';<br />
       } else {<br />
         return name;<br />
       }<br />
     }<br />
   },<br />
<br />
   submitButtonText: function() {<br />
     var invalidFields = document.querySelectorAll('.invalid'),<br />
         text;<br />
<br />
     if (this.isValid || !invalidFields) {<br />
       text = this.submit.getAttribute('data-default-text');<br />
     } else {<br />
       if (invalidFields.length || invalidFields[0].className.indexOf('checkgroup') === -1) {<br />
         text = this.submit.getAttribute('data-invalid-text');<br />
       } else {<br />
         text = this.submit.getAttribute('data-choose-list');<br />
       }<br />
     }<br />
     return text;<br />
   },<br />
<br />
   submitForm: function() {<br />
     this.formSubmitting();<br />
<br />
     var _this = this;<br />
     window[this.callbackName] = function(response) {<br />
       delete window[this.callbackName];<br />
       document.body.removeChild(script);<br />
       _this.onSubmitCallback(response);<br />
     };<br />
<br />
     var script = document.createElement('script');<br />
     script.src = this.formUrl('json');<br />
     document.body.appendChild(script);<br />
   },<br />
<br />
   formUrl: function(format) {<br />
     var action  = this.form.action;<br />
     if (format === 'json') action += '.json';<br />
     return action + '?callback=' + this.callbackName + '&amp;' + serialize(this.form);<br />
   },<br />
<br />
   formSubmitting: function() {<br />
     this.form.className  += ' mimi_submitting';<br />
     this.submit.value     = this.submit.getAttribute('data-submitting-text');<br />
     this.submit.disabled  = true;<br />
     this.submit.className = 'disabled';<br />
   },<br />
<br />
   onSubmitCallback: function(response) {<br />
     if (response.success) {<br />
       this.onSubmitSuccess(response.result);<br />
     } else {<br />
       top.location.href = this.formUrl('html');<br />
     }<br />
   },<br />
<br />
   onSubmitSuccess: function(result) {<br />
     if (result.has_redirect) {<br />
       top.location.href = result.redirect;<br />
     } else if(result.single_opt_in || !result.confirmation_html) {<br />
       this.disableForm();<br />
       this.updateSubmitButtonText(this.submit.getAttribute('data-thanks'));<br />
     } else {<br />
       this.showConfirmationText(result.confirmation_html);<br />
     }<br />
   },<br />
<br />
   showConfirmationText: function(html) {<br />
     var fields = this.form.querySelectorAll('.mimi_field');<br />
<br />
     for (var i = 0; i &lt; fields.length; ++i) {<br />
       fields[i].style['display'] = 'none';<br />
     }<br />
<br />
     (this.form.querySelectorAll('fieldset')[0] || this.form).innerHTML = html;<br />
   },<br />
<br />
   disableForm: function() {<br />
     var elements = this.form.elements;<br />
     for (var i = 0; i &lt; elements.length; ++i) {<br />
       elements[i].disabled = true;<br />
     }<br />
   },<br />
<br />
   updateSubmitButtonText: function(text) {<br />
     this.submit.value = text;<br />
   },<br />
<br />
   revalidateOnChange: function() {<br />
     var fields = this.form.querySelectorAll(&quot;.mimi_field.required&quot;),<br />
         _this = this;<br />
<br />
     var onTextFieldChange = function() {<br />
       if (this.getAttribute('name') === 'signup[email]') {<br />
         if (_this.validEmail.test(this.value)) _this.validate();<br />
       } else {<br />
         if (this.value.length === 1) _this.validate();<br />
       }<br />
     }<br />
<br />
     for (var i = 0; i &lt; fields.length; ++i) {<br />
       var inputs = fields[i].getElementsByTagName('input');<br />
       for (var j = 0; j &lt; inputs.length; ++j) {<br />
         if (this.fieldType(fields[i]) === 'text_field') {<br />
           inputs[j].onkeyup = onTextFieldChange;<br />
           inputs[j].onchange = onTextFieldChange; <br />
         } else {<br />
           inputs[j].onchange = function(){ _this.validate() };<br />
         }<br />
       }<br />
     }<br />
   }<br />
 });<br />
<br />
 if (document.addEventListener) {<br />
   document.addEventListener(&quot;DOMContentLoaded&quot;, function() {<br />
     new Mimi.Signups.EmbedValidation();<br />
   });<br />
 }<br />
 else {<br />
   window.attachEvent('onload', function() {<br />
     new Mimi.Signups.EmbedValidation();<br />
   });<br />
 }<br />
})(this);<br />
&lt;/script&gt;

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