Adobe Analytics vs. Matomo Analytics

About two years ago, we transitioned our property from a three-star hotel to a four-star resort after a multi-million-dollar renovation. In the conversion, we wanted to start reaching out to a younger, affluent demographic that had the means to spend for vacation in a resort area. First and foremost, we want to see if vacations are being booked by desktop computers, laptops or mobile phones. With Adobe Analytics, we can see how a Guest books a room. What do they view? What rooms types do they like? Are they comparing rooms and if they give up searching, where are they else looking and are they coming back. It is a feature where how can we complete the sale? The new process we are also trying to keep Guests on the site is ending our relationship with OpenTable and doing all our resort restaurant reservations in-house. If the Guests were exclusively using OpenTable, we could not track where else on our resort site they are going? Finally, what marketing promotional rates are getting the most drive from

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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.

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• This product, Adobe Analytics, does a great job of helping us. I think it, it, it does an excellent job of outlining every step of the user journey, as well as giving a good, strong framework to work with as it relates to attribution, attribution of marketing data, and marketing channels, and how, where our users are coming from, how effective those marketing activities are.

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• 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.

• The tool is heavily a drag and drop kind of dashboard. You're building dashboards on the fly. So oftentimes, I learn my process and how to do things I'm comfortable with, that I can repeat, and get those answers on a consistent basis. But oftentimes, I may not find it easy to take it to the next level. So, areas that can improve are recommending or suggesting. Here's what you might try to improve in this report that you're looking at. Try adding in this metric, or try splicing it this way. Oftentimes, I feel like it requires me to go off and learn these techniques on the side, versus having them right there within the tool. Those recommendations, those helpful tips, and tricks.

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• 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.

We need it to discover threats long before they become a loophole in the security ecosystem. Also, it is very much compliant with customer standards and expectations. It provides marketing intelligence through in-depth analysis. Overall, a very good product to gain customer attention and thereby improve market

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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.

It is necessary to have a minimum knowledge on tracking tools so you can use the tool on full performance. It is not an introduction tool, so please bear that in mind. Once you got the knowledge you just need a small training on how to create your custom reports, where to find the components you need and how to add them to your dashboard. Then you share your report or create a rule for periodic sharing and it's done. Finally, if you have a lot of data stored the tool might be a little slower but that's ok.

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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)

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.

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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

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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.

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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.

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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.

We evaluated and we currently use Mixpanel and we have Google Analytics on a couple of our properties. And honestly, once you get the hang of the Adobe Analytics workspace, the other products really don't stack up against it because the segmentation and the ability to create reports pretty rapidly are invaluable.

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.

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.

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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.

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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

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• I'd say business results. We tend to see better media and marketing engagement as a result of using Adobe Analytics, and that's largely because we can measure the effectiveness of campaigns and we can figure out which ones are driving better engagement, whether it's top of funnel or bottom of funnel. That's probably the biggest business result we see. It's obviously we even use it for other non-traditional use cases like AB testing to figure out which experience is a better or not, that type of thing.

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• 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.

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