Adobe Analytics vs. Matomo Analytics vs. Quantum Metric

Well-suited for companies looking from a customer perspective. They can gain a deep understanding of market trends, customer activities, and where third-party integration is expected. Less suitable for small-scale organizations due to the cost of the tool; otherwise, really useful and productive.

Incentivized

If you want to balance data-driven marketing and a privacy-minded approach to analytics, Matomo Analytics is for you. It's easy to be compliant with GDPR and other regulations while still having detailed (anonymized) analytics that help inform what content is resonating vs what content is not resonating. And of course you also get all of the rich referral, campaign, and goal conversion data to help you optimize your marketing.

Incentivized

Quantum Metric is a true professional, and I love the level of insight and industry knowledge they bring to the table. We use it at the departmental level, including marketing, customer service, and IT. Session replay allows our data consumers to derive insights faster and easier than digging through data. It lets us see or understand how users feel and work to enhance those feelings. The quality of support and the time to respond are also noteworthy. They have great coverage, but the learning curve is very steep and requires a lot of technical support and hand-holding.

Incentivized

• It summarizes large complex data better than any other analytics solution I've dealt with without the need for sampling, gives the right level of detail, does the right level of breakdowns, aggregation. I consistently not only use Adobe Analytics, but I use other data sets and compare against Adobe Analytics. And as I go into Adobe Analytics and compare, as long as I've done the query right and the other systems, they're very, very close. And if anything, with a lot of Adobe's newer products, they've gotten more accurate over time. So that's basically, you asked me what I liked about it. I like that it's accurate. I like that I don't have to do a lot of explaining. There's enough explaining in the world of web analytics to have to go back and explain why data's problematic. And so like I said, provided that the implementation is correct, it's a very easy conversation. Even if people may not like the answer.

Incentivized

• One of Piwik's strengths is the provision of customizable widgets for different bits of analytics data. The ability to add and remove them, change dates and more makes this a flexible way to visualize data.
• The visitor log section is also rich, providing date, keywords, actions and more in a single table, which makes it easy to identify your most effective content.
• And the visitor actions table includes both bounce rate and time on site, so you can quickly tell which pages have the most engagement.
• Data display is a strength for Piwik, as you have access to overview charts while simultaneously being able to drill deeper.

• Identifying user pain points and frustrations. Quantum Metrics has a data point called Rage Click which shows when a customer has clicked multiple times back to back on a particular section of the website.
• Replaying a session to see everything that is loading on the front end to the customer, as well as the backed end of the website, has been critical in troubleshooting the experience.
• Heatmaps are a awesome tool we have found very useful in showing engagement with different content on the page, how far user scroll & drop off and to see a split side by side view of the same page in an a/b test.

• Support. I mentioned this earlier and we don't know what we don't know. Researching the massive amounts of documentation isn't realistic with bandwidth constraints, and our rep getting frustrated with us when we go through what we are seeing is disappointing.
• Education. More please, and designed more towards the "business side". I get with the many many many different implementations (every company is different!), that it's tough, but even a basic of the basics would be nice for situations that everyone is looking at, like the engagement with the merchandising on the home page (or any certain page).

Incentivized

• From a user security standpoint it would be useful to provide users the ability to have two-factor authentication. While stats data is not necessarily sensitive in aggregate, some users may feel that certain portions need to be more secure.
• It would be nice if there was a tighter integration with the Google search/referrer API so that "keyword not defined" would be replaced more often with the actual keyword that is being used to send a visitor to a site.
• An easier branding method, maybe in the form of an API function set, that pulled branding URLs from a set of database fields would be great as well.

• Quantum could share some use cases implemented by similar industries in accordance with the key problems as inputs.
• We should be able to see some of the most common solutions that could be integrated within our product based on the step of the user journey I am at.
• Expanding capabilities to integrate with high-level tools integrated.

Incentivized

The tool work perfect and give us a lot of information with a easy and simpler version. We've been using it during +4 years. It is easier to start and you can create your custom reports. You are able to "drag and drop" the feature you need to measure and give access to that report to specific people inside the corporation and schedule reports. We plan to keep on it as we expand our capabilities

Incentivized

At this point, there is not a single conceivable reason as to why we would not renew and continue to use Piwik Analytics. Especially since it is a free program and open source. The product will only get better over time as more people look into it and donate to cause so that development can continue.

Quantum is a nice tool and is user friendly however I believe there always room for improvement. We have experienced minor issues with a few sessions which were solved by Quantum support reps in a timely manner and some of the dashboards are not as robust as other tools we use

Incentivized

Adobe Analytics has been useful to our company by providing great insight into our business overall demographics, lead conversion, and where are referrals are coming from. The customizing of the reports give us more autonomy over the data we present to our leadership to help them make more knowledgeable decisions.

Incentivized

Piwik succeeds in presenting me (and my associates and my clients...) large amounts of data in a user friendly way. The interface and functionality can easily be customized. While some enhancements do need technical background (API calls by programming language from the webserver or javascript), others are easy to use (goal / event tracking)

For a new user, it's pretty intuitive to onboard and start doing the basic functionalities. But QM has a lot of functionalities which can be leveraged by more team members (especially when you don't have analysts dedicatedly using this) if further enhancements to usability are made.

Incentivized

I do not ever recall a time when Adobe Analytics was unavailable to me to use in the 8 or so years I have been an end user of the product. My most-used day-to-day analytics tool Parse.ly however, generally has a multiple hours planned offline maintenance every two to four weeks, and sometimes has issues collecting realtime analytics that last anywhere between 15 minutes to an hour, and happen anywhere between 1 to 5 times a month.

Incentivized

Again, no issues here. Performance within the day updates hourly. other reports are updated overnight and available to access by the next morning. Pages load quickly, the site navigates easily and the UX is quite straightforward to get command over. On this front, I give Adobe kudos for building a great experience to work within

Incentivized

Support for Adobe Analytics is ok, it used to be worse years ago. Now, the technology team at Adobe is way more knowledgeable on the product itself as well as the implementation. They also study your custom implementation and have good knowledge of where your company stands. Dedicated support is something worth considering.

Incentivized

The best thing about the Matomo support is that they have a forum which basically you can find the answer to almost all of your questions and most of the time you don't need to contact them regarding your questions and problems but if you need help they will answer in a reasonable time slots.

Incentivized

I've been very impressed with the support Quantum Metric has provided. Our amazing Customer Success team has provided excellent service and has gone above and beyond in helping us use and understand the tool. We hold weekly calls with multiple teams and QM has been proactive in bringing things to our team's attention and making suggestions. The support has been one of the most important aspects of having QM and has allowed us to make great strides in improving how we use data and user research in our work.

Incentivized

It was a one-day training several years ago that cost the organization several thousand dollars. There were only about 10 people in the training class. Adobe tried to cram so much information into that one-day class that none of our users felt like they really learned anything helpful from the experience. Follow-up training is too expensive

The online training for Adobe SiteCatalyst consists of short product videos. These are ok, but only go so far. For a while Adobe charged a fee for this, but recently made these available for free. There are many great blog posts that help users learn how to apply the product as well.

One of the benefits and obstacles to successfully using Adobe Analytics is a great / more accurate implementation, make sure your analytics group is intimate with the details of the implementation and that the requirements are driven by the business.

Only one hiccup when we were using a beta installation. Other than that, smooth sailing.

Google Analytics comes across more of a reporting tool whereas Adobe Analytics is more of an Enterprise level analytics tool. Contentsquare provides some traffic and flow capabilities but not to the same level as Adobe Analytics. However, Contentsquare's major advantage is its Zoning (Heatmapping), Impact Quantification and Find 'n' Fix modules; none of which are knowingly available in Adobe Analytics.

Incentivized

It is much more robust out of the box, easier to set up and more intuitive to use. The reports are set up already and it requires little to no setup after installation to start gathering insights.

We have used - as an organization - multiple products that each fill a roll or task Quantum Metric provides...however I think there are very few tools or SaaS solutions out there that bundle so much into one solution. QM was better than the replay tool another group was utilizing (Mouseflow) because with our contract we could capture and review way more replays as well as have those replays married to actual, quantifiable data. From an analytics point, is so much easier to install event tracking as opposed to our basic Google Analytics implementation. However, I would still use GA as a primary record for measuring overall site performance since QM doesn't have robust product sales tracking. At one point we did review a competitor called Content Square. They seemed very focused on heat mapping.

Incentivized

Adobe Analytics is relatively affordable compared to other tools, given it provides a range of flexible variables to use that I have not found in any other tools so far. It is worth investing in if your company is medium or large-sized and brings a steady flow of revenue. For small companies, it can be overpriced.

Incentivized

My organization uses Adobe Analytics across a multitude of brand portfolios. Each brand has multiple websites, mobile apps and some even have connected TV apps/channels on Roku and similar devices. Adobe can handle the multitude of properties that have simple, small(ish) websites and the larger brand properties that include web, mobile and connected TVs/OTT devices.

Each of those larger brands has multiple categories and channels to keep track of. We can see the data by channel/device or aggregate all the data together. This gives our executive teams the full picture and the departmental teams the view they need to see their own performance.

Incentivized

The professional services team is one of the best teams for complex adobe analytics implementations, especially for clients having multiple website and mobile applications. However, the cost of professional services is a bit high which makes few clients opt out of it, but for large scale implementations they are very helpful

Incentivized

• Adobe Analytics impacts nearly every aspect of a billion plus dollar revenue eCommerce business. From measuring the impact of new build features to marketing campaigns.
• We are saving substantial money and resource effort by consolidating all of our properties to Adobe Analytics from alternative solutions, at which point we will finally be able to report on Total Digital, rather than disparate reports.
• We support experimentation on every platform and the performance is only known through Adobe Analytics tagging.

Incentivized

• We can see the analytics of our web applications and thus having the insight of the systems' behavior.
• It helps in improving the performance and scalability of our web application.
• It helps us improve the user experience on our sites; seeing the user's activity we can take decisions to make it better.
• A cost-effective tool, since it is free.

Incentivized

• The service is not cheap, so don't commit unless you're going to use it.
• Really improved our tech support process by allowing us to identify problems much sooner.
• Helped identify potential frustrations, which could be eliminated to reduce friction at checkout.

Incentivized