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• 5-Step Conversion Rate Optimisation Checklist

  27 octobre 2023, par Erin

  Did you know the average conversion rate across e-commerce businesses in August 2023 was 2.03% ? In the past year, conversion rates have increased by 0.39%.

  Make no mistake. Just because conversion rates are higher this year doesn’t make it any easier to convert visitors.

  Cracking the secrets to improving conversion rates is crucial to running a successful website or business.

  Your site is the digital headquarters all of your marketing efforts funnel toward. With every visitor comes an opportunity to convert them into a lead (or sale).

  Keep reading if you want to improve your lead generation or convert more visitors into customers. In this article, we’ll break down a simple five-step conversion rate optimisation checklist you need to follow to maximise your conversions.

  What is conversion rate optimisation ?

  Before we dive into the steps you need to follow to optimise your conversions, let’s back up and talk conversion rate optimisation.

  

  Conversion rate optimisation, or CRO for short, is the process of increasing the number of website visitors who take a specific action. 

  In most cases, this means :

  • Turning more visitors into leads by getting them to join an email list
  • Convincing a visitor to fill out a contact form for a consultation
  • Converting a visitor into a paying customer by purchasing a product

  However, conversion rate optimisation can be used for any action you want someone to take on your site. That could be downloading a free guide, clicking on a specific link, commenting on a blog post or sharing your website with a friend.

  Why following a CRO checklist is important

  Conversion rate optimisation is both a valuable practice and an absolute necessity for any business or marketer. While it can be a bit complex, especially when you start diving into A/B testing, there are a variety of advantages :

  Get the most out of your efforts

  When all is said and done, if you can’t convert the traffic already coming to your site, dumping a ton of time and resources into traffic generation (whether paid or organic) won’t solve your problem.

  Instead, you need to look at the root of the problem : your conversion rate.

  By doubling down on conversions and following a conversion rate optimisation checklist, you’ll get the greatest result for the effort you’re already putting into your site.

  Increase audience size

  To increase your audience size, you need to increase your traffic, right ? Not exactly.

  While your audience may be considered people who have seen your content or follow you on social media, a high-value audience is one you can market to directly on an ongoing basis.

  Your website gives you the playground to convert visitors into high-value audience members. This is done by creating conversion-focused email signup forms and optimising your website for sale conversions.

  Generate more sales

  Boosting sales through CRO is the core objective. By optimising product pages, simplifying the checkout process, and employing persuasive strategies, you can systematically increase your sales and maximise the value of your existing traffic.

  Reduce customer acquisition costs (CAC)

  With conversion optimisation, you can convert a higher percentage of your website visitors into paid customers. Even if you don’t spend more on acquiring new customers, you’ll be able to generate more sales overall. 

  The result is that your customer acquisition costs will drop, allowing you to increase your total acquisitions to your customer base.

  Improve profitability

  While reduced customer acquisition costs mean you can pour more money into customer acquisition at a cheaper rate, you could simply maintain your costs while driving sales, resulting in increased profitability.

  If you can spend the same amount on acquisition but bring in 20% more customers (due to using a CRO checklist), your profit margins will automatically increase.

  5-step CRO checklist

  To double down on conversion rate optimisation, you need to follow a checklist to ensure you don’t miss any major optimisation opportunities.

  The checklist below is designed to help you systematically optimise your website, ensuring you make the most of your traffic by continuously refining its performance.

  1. Forms

  Analysing and optimising your website’s forms is crucial for enhancing conversion rates. Understanding how visitors interact with your forms can uncover pain points and help you streamline the conversion process.

  Ever wonder where your visitors drop off on your forms ? It could be due to lengthy, time-consuming fields or overly complex forms, leading to a frustrating user experience and lower conversion rate. Whatever the reason, you need the right tools to uncover the root of the issue.

  By leveraging Form Analytics, you gain powerful insights into user behaviour and can identify areas where people may encounter difficulties.

  Form Analytics provides the insights to discover :

  • Average time spent on each field : This metric helps you understand where users may be struggling or spending too much time. By optimising these fields, you can streamline the form, reduce user frustration and increase conversions.
  • Identifying drop-off points : Understanding where users drop off provides insights into which form fields may need improvement. Addressing these drop-off points can increase the conversion rate.
  • Unneeded fields with a high blank submission rate : Discovering fields left blank upon submission can highlight areas for simplification. By eliminating unnecessary fields, you can create more concise and user-friendly forms that may entice more visitors to engage with the form.

  

  Hear first-hand how Concrete CMS achieve 3x more leads with insights from Form Analytics. 

  These data-driven insights empower you to optimise your forms, remove guesswork and settle debates about form design. By fine-tuning and streamlining your forms, you can ensure a smoother path to conversion and maximise your success in converting more visitors.

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  2. Copywriting

  Another crucial element you need to test is your copywriting. Your copywriting is the foundation of your entire website. It helps communicate to your audience what you have to offer and why they need to take action.

  You need to ensure you have a good offer. This isn’t just the product or service you’re putting out there. It’s the complete package. It includes the product, rewards, a unique guarantee, customer service, packaging and promotions.

  Start testing your copy with your headlines. Look at the headers and test different phrases to convert more potential customers into paying customers.

  Here are a few tips to optimise your copy for more conversions :

  • Ensure copy is relevant to your headline and vice versa.
  • Write short words, short sentences and short paragraphs.
  • Use bullets and subheaders to make the copy easy to skim.
  • Don’t focus too heavily on optimising for search engines (SEO). Instead, write for humans.
  • Focus on writing about benefits, not features.
  • Write about how your offer solves the pain points of your audience.

  You can test your copy in several areas once you’ve begun testing your headers – your subheaders, body copy, signup forms and product pages (if you’re e-commerce).

  3. Media : videos and audio

  Next, testing out different media types is crucial. This means incorporating videos and audio into your content.

  Don’t just take a random guess by throwing stuff against the wall, hoping it sticks. Instead, you should use data to develop impactful content.

  Look at your Media Analytics reports in your website analytics solution and see what media people spend the most time on. See what kind of video or audio content already impacts conversions.

  

  Humans are highly visual. You should craft your content so it’s easy to digest. Instead of covering your website in huge chunks of text, split up your copy with engaging content like videos.

  High-quality videos and audio recordings allow your readers to consume more of your content easily, and help persuade them to take action on your site.

  4. Calls to action (CTA)

  This brings us to our next point : your call to action (CTA).

  Are you trying to convert more prospects into leads ? Want to turn more leads into customers ? Trying to get more email subscribers ? Or do you want to generate more sales every month ?

  You could write the most compelling offer flooded with beautiful images, videos and CRO tactics. But your efforts will go to waste if you don’t include a compelling CTA.

  

  Here are a few tips to optimise your CTAs :

  • Keep them congruent on a single web page (e.g., don’t sell a hat and a sweater on the same page, as it can be confusing).
  • Place at least one CTA above the fold on your web pages.
  • Include benefits in your CTA. Rather than “Buy Now,” try “Buy Now to Get 30% Off.”
  • It’s better to be clear and concise than too fancy and unique.

  Optimising your call to action isn’t just about your copywriting. It’s also about design. Test different fonts, sizes, and visual elements like borders, icons and background colours.

  5. Web design

  Your site design will impact how well your visitors convert. You could have incredible copywriting, but if your site is laid out poorly, it will drive people away.

  You must ensure your copy and visual content fit your website design well.

  The first place you need to start with your site is your homepage design.

  Your site design consists of the theme or template, colour scheme and other visual elements that can be optimised to improve conversions.

  Here are a few tips to keep in mind when optimising your website design :

  • Use a colour scheme that’s pleasant rather than too distracting or extreme.
  • Ensure your design doesn’t remove the text’s clarity but makes it easier to read.
  • When in doubt, start with black text on a white background (the opposite rarely works).
  • Keep plenty of whitespace in between design elements.
  • When in doubt about font size, start by testing a larger size.
  • Design mobile-first rather than desktop-first.

  Finally, it’s critical to ensure your website is easy to navigate. Good design is all about the user experience. Is it easy to find what they’re looking for ? Simplify steps to reduce the need to click, and your conversions will increase.

  Start optimising your website for conversions

  If you’re looking to get the most out of the traffic on your site by converting more visitors into leads or customers, following this 5-step CRO checklist will help you take steps in the right direction.

  Just remember conversion rate optimisation is an ongoing process. It’s not a one-time deal. To succeed, you need to test quickly, analyse the impact and do more of what’s working and less of what’s not.

  To optimise your website for better conversion rates, you need the right tools that provide accurate data and insights to effectively increase conversions. With Matomo, you gain access to web analytics and CRO features like Form Analytics and Media Analytics, designed to enhance your conversion rate optimisation efforts. 

  Try Matomo free for 21 days and take your conversion rate to the next level. No credit card required.

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• Benefits and Shortcomings of Multi-Touch Attribution

  13 mars 2023, par Erin — Analytics Tips

  Few sales happen instantly. Consumers take their time to discover, evaluate and become convinced to go with your offer. 

  Multi-channel attribution (also known as multi-touch attribution or MTA) helps businesses better understand which marketing tactics impact consumers’ decisions at different stages of their buying journey. Then double down on what’s working to secure more sales. 

  Unlike standard analytics, multi-channel modelling combines data from various channels to determine their cumulative and independent impact on your conversion rates. 

  The main benefit of multi-touch attribution is obvious : See top-performing channels, as well as those involved in assisted conversions. The drawback of multi-touch attribution : It comes with a more complex setup process. 

  If you’re on the fence about getting started with multi-touch attribution, here’s a summary of the main arguments for and against it. 

  What Are the Benefits of Multi-Touch Attribution ?

  Remember an old parable of blind men and an elephant ?

  Each one touched the elephant and drew conclusions about how it might look. The group ended up with different perceptions of the animal and thought the others were lying…until they decided to work together on establishing the truth.

  Multi-channel analytics works in a similar way : It reconciles data from various channels and campaign types into one complete picture. So that you can get aligned on the efficacy of different campaign types and gain some other benefits too. 

  Better Understanding of Customer Journeys 

  On average, it takes 8 interactions with a prospect to generate a conversion. These interactions happen in three stages : 

  • Awareness : You need to introduce your company to the target buyers and pique their interest in your solution (top-of-the-funnel). 
  • Consideration : The next step is to channel this casual interest into deliberate research and evaluation of your offer (middle-of-the-funnel). 
  • Decision : Finally, you need to get the buyer to commit to your offer and close the deal (bottom-of-the-funnel). 

  You can analyse funnels using various attribution models — last-click, fist-click, position-based attribution, etc. Each model, however, will spotlight the different element(s) of your sales funnel. 

  For example, a single-touch attribution model like last-click zooms in on the bottom-of-the-funnel stage. You can evaluate which channels (or on-site elements) sealed the deal for the prospect. For example, a site visitor arrived from an affiliate link and started a free trial. In this case, the affiliate (referral traffic) gets 100% credit for the conversion. 

  This measurement tactic, however, doesn’t show which channels brought the customer to the very bottom of your funnel. For instance, they may have interacted with a social media post, your landing pages or a banner ad before that. 

  Multi-touch attribution modelling takes funnel analysis a notch further. In this case, you map more steps in the customer journey — actions, events, and pages that triggered a visitor’s decision to convert — in your website analytics tool.

  

  Then, select a multi-touch attribution model, which provides more backward visibility aka allows you to track more than one channel, preceding the conversion. 

  For example, a Position Based attribution model reports back on all interactions a site visitor had between their first visit and conversion. 

  A prospect first lands at your website via search results (Search traffic), which gets a 40% credit in this model. Two days later, the same person discovers a mention of your website on another blog and visits again (Referral traffic). This time, they save the page as a bookmark and revisit it again in two more days (Direct traffic). Each of these channels will get a 10% credit. A week later, the prospect lands again on your site via Twitter (Social) and makes a request for a demo. Social would then receive a 40% credit for this conversion. Last-click would have only credited social media and first-click — search engines. 

  The bottom line : Multi-channel attribution models show how different channels (and marketing tactics) contribute to conversions at different stages of the customer journey. Without it, you get an incomplete picture.

  Improved Budget Allocation 

  Understanding causal relationships between marketing activities and conversion rates can help you optimise your budgets.

  First-click/last-click attribution models emphasise the role of one channel. This can prompt you toward the wrong conclusions. 

  For instance, your Facebook ads campaigns do great according to a first-touch model. So you decide to increase the budget. What you might be missing though is that you could have an even higher conversion rate and revenue if you fix “funnel leaks” — address high drop-off rates during checkout, improve page layout and address other possible reasons for exiting the page.

  

  By knowing when and why people abandon their purchase journey, you can improve your marketing velocity (aka the speed of seeing the campaign results) and your marketing costs (aka the budgets you allocate toward different assets, touchpoints and campaign types). 

  Or as one of the godfathers of marketing technology, Dan McGaw, explained in a webinar :

  “Once you have a multi-touch attribution model, you [can] actually know the return on ad spend on a per-campaign basis. Sometimes, you can get it down to keywords. Sometimes, you can get down to all kinds of other information, but you start to realise, “Oh, this campaign sucks. I should shut this off.” And then really, that’s what it’s about. It’s seeing those campaigns that suck and turning them off and then taking that budget and putting it into the campaigns that are working”.

  More Accurate Measurements 

  The big boon of multi-channel marketing attribution is that you can zoom in on various elements of your funnel and gain granular data on the asset’s performance. 

  In other words : You get more accurate insights into the different elements involved in customer journeys. But for accurate analytics measurements, you must configure accurate tracking. 

  Define your objectives first : How do you want a multi-touch attribution tool to help you ? Multi-channel attribution analysis helps you answer important questions such as :

  • How many touchpoints are involved in the conversions ? 
  • How long does it take for a lead to convert on average ? 
  • When and where do different audience groups convert ? 
  • What is your average win rate for different types of campaigns ?

  Your objectives will dictate which multi-channel modelling approach will work best for your business — as well as the data you’ll need to collect. 

  At the highest level, you need to collect two data points :

  • Conversions : Desired actions from your prospects — a sale, a newsletter subscription, a form submission, etc. Record them as tracked Goals. 
  • Touchpoints : Specific interactions between your brand and targets — specific page visits, referral traffic from a particular marketing channel, etc. Record them as tracked Events. 

  Your attribution modelling software will then establish correlation patterns between actions (conversions) and assets (touchpoints), which triggered them. 

  The accuracy of these measurements, however, will depend on the quality of data and the type of attribution modelling used. 

  Data quality stands for your ability to procure accurate, complete and comprehensive information from various touchpoints. For instance, some data won’t be available if the user rejected a cookie consent banner (unless you’re using a privacy-focused web analytics tool like Matomo). 

  Different attribution modelling techniques come with inherent shortcomings too as they don’t accurately represent the average sales cycle length or track visitor-level data, which allows you to understand which customer segments convert best.

  Learn more about selecting the optimal multi-channel attribution model for your business.

  What Are the Limitations of Multi-Touch Attribution ?

  Overall, multi-touch attribution offers a more comprehensive view of the conversion paths. However, each attribution model (except for custom ones) comes with inherent assumptions about the contribution of different channels (e.g,. 25%-25%-25%-25% in linear attribution or 40%-10%-10%-40% in position-based attribution). These conversion credit allocations may not accurately represent the realities of your industry. 

  Also, most attribution models don’t reflect incremental revenue you gain from existing customers, which aren’t converting through analysed channels. For example, account upgrades to a higher tier, triggered via an in-app offer. Or warranty upsell, made via a marketing email. 

  In addition, you should keep in mind several other limitations of multi-touch attribution software.

  Limited Marketing Mix Analysis 

  Multi-touch attribution tools work in conjunction with your website analytics app (as they draw most data from it). Because of that, such models inherit the same visibility into your marketing mix — a combo of tactics you use to influence consumer decisions.

  Multi-touch attribution tools cannot evaluate the impact of :

  • Dark social channels 
  • Word-of-mouth 
  • Offline promotional events
  • TV or out-of-home ad campaigns 

  If you want to incorporate this data into your multi-attribution reporting, you’ll have to procure extra data from other systems — CRM, ad measurement partners, etc, — and create complex custom analytics models for its evaluation.

  Time-Based Constraints 

  Most analytics apps provide a maximum 90-day lookback window for attribution. This can be short for companies with longer sales cycles. 

  

  Marketing channels can be overlooked or underappreciated when your attribution window is too short. Because of that, you may curtail spending on brand awareness campaigns, which, in turn, will reduce the number of people entering the later stages of your funnel. 

  At the same time, many businesses would also want to track a look-forward window — the revenue you’ll get from one customer over their lifetime. In this case, not all tools may allow you to capture accurate information on repeat conversions — through re-purchases, account tier updates, add-ons, upsells, etc. 

  Again, to get an accurate picture you’ll need to understand how far into the future you should track conversions. Will you only record your first sales as a revenue number or monitor customer lifetime value (CLV) over 3, 6 or 12 months ? 

  The latter is more challenging to do. But CLV data can add another depth of dimension to your modelling accuracy. With Matomo, you set up this type of tracking by using our visitors’ tracking feature. We can help you track select visitors with known identifiers (e.g. name or email address) to discover their visiting patterns over time. 

  

  Limited Access to Raw Data 

  In web analytics, raw data stands for unprocessed website visitor information, stripped from any filters, segmentation or sampling applied. 

  Data sampling is a practice of analysing data subsets (instead of complete records) to extrapolate findings towards the entire data set. Google Analytics 4 applies data sampling once you hit over 500k sessions at the property level. So instead of accurate, real-life reporting, you receive approximations, generated by machine learning models. Data sampling is one of the main reasons behind Google Analytics’ accuracy issues. 

  In multi-channel attribution modelling, usage of sampled data creates further inconsistencies between the reports and the actual state of affairs. For instance, if your website generates 5 million page views, GA multi-touch analytical reports are based on the 500K sample size aka only 90% of the collected information. This hardly represents the real effect of all marketing channels and can lead to subpar decision-making. 

  With Matomo, the above is never an issue. We don’t apply data sampling to any websites (no matter the volume of traffic) and generate all the reports, including multi-channel attribution ones, based on 100% real user data. 

  AI Application 

  On the other hand, websites with smaller traffic volumes often have limited sampling datasets for building attribution models. Some tracking data may also be not available because the visitor rejected a cookie banner, for instance. On average, less than 50% of users in Australia, France, Germany, Denmark and the US among other countries always consent to all cookies. 

  To compensate for such scenarios, some multi-touch attribution solutions apply AI algorithms to “fill in the blanks”, which impacts the reporting accuracy. Once again, you get approximate data of what probably happened. However, Matomo is legally exempt from showing a cookie consent banner in most EU markets. Meaning you can collect 100% accurate data to make data-driven decisions.

  Difficult Technical Implementation 

  Ever since attribution modelling got traction in digital marketing, more and more tools started to emerge.

  

  Most web analytics apps include multi-touch attribution reports. Then there are standalone multi-channel attribution platforms, offering extra features for conversion rate optimization, offline channel tracking, data-driven custom modelling, etc. 

  Most advanced solutions aren’t available out of the box. Instead, you have to install several applications, configure integrations with requested data sources, and then use the provided interfaces to code together custom data models. Such solutions are great if you have a technical marketer or a data science team. But a steep learning curve and high setup costs make them less attractive for smaller teams. 

  Conclusion 

  Multi-touch attribution modelling lifts the curtain in more steps, involved in various customer journeys. By understanding which touchpoints contribute to conversions, you can better plan your campaign types and budget allocations. 

  That said, to benefit from multi-touch attribution modelling, marketers also need to do the preliminary work : Determine the key goals, set up event and conversion tracking, and then — select the optimal attribution model type and tool. 

  Matomo combines simplicity with sophistication. We provide marketers with familiar, intuitive interfaces for setting up conversion tracking across the funnel. Then generate attribution reports, based on 100% accurate data (without any sampling or “guesstimation” applied). You can also get access to raw analytics data to create custom attribution models or plug it into another tool ! 

  Start using accurate, easy-to-use multi-channel attribution with Matomo. Start your free 21-day trial now. No credit card requried. 

• Exceeded GA’s 10M hits data limit, now what ?

  1er décembre 2021, par Joselyn Khor
  Exceeded Google Analytics’ 10M hits data limit, now what ?

  “Your data volume (1XXM hits) exceeds the limit of 10M hits per month as outlined in our Terms of Service. If you continue to exceed the limit, we will stop processing new data on XXX 21, 2019. Learn more about possible solutions.”

  Yikes. Alarm bells were ringing when a Google Analytics free user came to us faced with this notice. Let’s call him ‘Mark’. Mark had reached the limits on the data he could collect through Google Analytics and was shocked by the limited options available to fix the problem, without blowing the budget. The thoughts racing through his head were :

  • “What happens to all my data ?”
  • “What if Google starts charging USD150K now ?”

  Then he came across Matomo and decided to get in touch with our support team …

  “Can you fix this issue ?” he asked us.

  “Absolutely !” we said.

  We’ll get back to helping Mark in a minute. For now let’s go over why this was such a dilemma for him.

  In order to resolve this data limits issue, one of the solutions was for him to upgrade to Google Analytics 360, which meant shelling out USD150,000 per year for their 1 billion hits per month option. Going from free to USD150,000 was too much of a stretch for a growing company.

  “Your data volume (1XXM hits) exceeds the limit of 10M hits per month …”, what did this message mean ?

  With the free version, Mark could collect up to 10 million “hits” per month, per account. Going over meant Google Analytics could stop collecting any more data for free as outlined in their Terms.

  Google Analytics’ Terms of Service (2018, sec. 2) states, “Subject to Section 15, the Service is provided without charge to You for up to 10 million Hits per month per account.”[1]

  What is a "hit" in Google Analytics ?

  Data being sent to Google Analytics. It can be a transaction, event, social interaction or pageview - these all produce what Google calls a “hit”.

  

  And their Analytics Help Data Limits (n.d.) support page makes clear that : “If a property sends more hits per month to Analytics than allowed by the Analytics Terms of Service, there is no assurance that the excess hits will be processed. If the property’s hit volume exceeds this limit, a warning may be displayed in the user interface and you may be prevented from accessing reports.”[2]

  

  Possible solutions

  So the possible solutions given by Google Analytics’ Data Limits support page were (also shown in image below) :

  • To pay USD150K to upgrade to Google Analytics 360
  • To send fewer hits by setting up sampling
  • Or choose the slightly less relevant option to upgrade mobile app tracking to Google Analytics for Firebase.

  Without the means to pay, the free version was fast becoming inaccessible for Mark as he was facing a future where he risked no longer having access to up-to-date data used in his business’ reporting.

  Mark was facing a problem that potentially didn’t have a cost-effective solution.

  

  So what can you really do about it ?

  This is where we can help provide some assistance. If you’re reading this article, we’ll assume you can relate to Mark and share with you the advice on options we gave him.

  Options :

  One option posed by Google is for you to send fewer hits by auditing your data collection processes

  If you really don’t have the budget, you’ll need to reassess your data collection priorities and go over your strategies to see what is necessary to track, and what isn’t.

  • Make sure you know what you’re tracking and why. Look at what websites are being tracked by Google and into what properties.
  • Go through what data you’re tracking and decide what is or isn’t of value.
  • Set up data sampling, this however, will lead to inaccurate data.

  From here you can start to course correct. If you’ve found data you’re not using for analysis, get rid of these events/pageviews in your Google Analytics.

  But the limitations here are that eventually, you’re going to run out of irrelevant metrics and everything you’re tracking will be essential. So you’ll hit another brick wall and return to the same situation.

  Option 2 – Ignore and continue using the free version of Google Analytics

  With this option, you’ll have to bear the business risks involved by basing decisions off of analytics reports that may or may not be updated. In this case, you may still get contacted about exceeding the limits. As the free service is provided for only up to 10 million hits, once you’ve gone over them, you’re violating what’s stipulated in the Terms of Service. 

  There’s also the warning that “… you may be prevented from accessing reports” (Data limits, n.d.). So while we may not know for certain what Google Analytics will do, in this case it may be better to be safe rather than sorry by acting quickly to resolve it. 

  Option 3 -The Matomo solution – a privacy-friendly Google Analytics alternative

  Upgrade to a web analytics platform that can handle your demanding data requirements. Save money while continuing to gain valuable insights by moving over to Matomo Analytics (recommended)

  This is where you can save up to USD130,000 a year. As well as that, the transition from Google Analytics to the Matomo Cloud is a seamless experience as setup and maintenance is taken care of by our experts.

  For example, you can get up to 25M hits for USD3,241/month (or USD38,900/year) on the Essentials plan.

  Or even 25M hits for USD4,991/month (or USD59,900/year) on the Business plan – which offers additional web analytics and conversion optimization resources.

  Matomo Cloud is a great option if you’re looking for a secure, cost-effective and powerful analytics solution. You also get what Google Analytics could never offer you : full control and ownership of your own data and privacy. 

  Try Matomo free for 21 days – no credit card required.

  No need to worry about losing your Google Analytics data because …

  Now you can import your historic Google Analytics data directly into your Matomo with the Google Analytics Importer tool. Simply follow the step-by-step guide to get started for free.

  Along with savings you can get :

  • A solution for the data limits issue forever. You choose the right plan to suit your data needs and adapt as you continue growing
  • 100% accurate data (no data sampling)
  • 100% data ownership of all your information without signing away your data to a third party
  • Powerful web analytics and conversion optimization features
  • Matomo Tag Manager
  • Easy setup
  • Support from Matomo’s specialists

  Learn more about Matomo Cloud pricing.

  

  Or go for Matomo On-Premise

  If you have the in-house infrastructure to support self-hosting Matomo on your own servers then there’s also the option of Matomo On-Premise. Here you’ll get full security knowing the data is on your own servers. 

  Setup will also require technical knowledge. There will also be costs associated with acquiring your own servers, and keeping up with regular maintenance and updates. With On-Premise you get maximum flexibility, with no data limits whatsoever. But if you’re coming over from Google Analytics and don’t have the infrastructure and team to host On-Premise, the Matomo Cloud could be right for you.

  Learn more about Matomo On-Premise.

  Where do you go from here ?

  Getting 10 millions hits per month is no small feat, it’s actually pretty fantastic. But if it means having to shell out USD150,000 just to be able to continue with Google Analytics, we feel your problem could be fixed with Matomo Cloud. You could then put the rest of the money you save to better use.

  If you choose Matomo, you now have the option to : 

  • Raise your data limits for a fraction of Google Analytics 360’s price
  • Get a comprehensive range of analytics features for the most impactful insights to ensure your website continues excelling
  • Get data that’s not sampled – meaning 100% accuracy in your reports
  • Migrate your data easily with the help of Matomo’s support team

  We’ll have you covered. 

  By sharing with you the options and advice we gave to Mark, we hope you’ll be able to find a solution that makes your life easier and solves the issue of data restrictions forever.

  The team at Matomo is here to help you every step of the way to ensure a stress-free transition from Google Analytics if that is what works best for you.

  For next steps, check out our live online Matomo demo and start your free 21-day trial.

  References :

  [1] Terms of Service. (2018, July 24). In Google Analytics Terms of Service. Retrieved June 12, 2019, from https://www.google.com/analytics/terms/us.html

  [2] Data limits. (n.d.). In Analytics Help Data limits. Retrieved June 12, 2019, from https://support.google.com/analytics/answer/1070983?hl=en