Google Analytics is perhaps the best-known web analytics product and, as a free product, it has massive adoption. Although it lacks some enterprise-level features compared to its competitors in the space, the launch of the paid Google Analytics Premium edition seems likely to close the gap.
$0
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UserTesting
Score 8.0 out of 10
N/A
UserTesting helps UX researchers, designers, product teams, and marketers gather actionable insights through research, testing, and feedback. With a network of real people ready to share their perspectives, UserTesting enables organizations to make customer-first decisions at scale.
I wasn't the person who selected Usertesting, but I did use this in previous company so I was aware of their capabilities. I really enjoy how usertesting applies their research methods and have a greater support. The UserZoom was easy to handle but I don't remember how it was …
UserTesting is much easier to use overall. If it's easier to user, it will get used more often. The ability for the testers on UserTesting to give feedback whilst they look at the content instead of afterwards like on UserZoom has given us more accurate data as well as making …
We have evaluated other tools including Validately, Loop11, LookBack, UserZoom. Some have more features and capabilities, but UserTesting seems to have the best user panel. It is also hard to switch from a tool, as you lose all the data that lives within the tool. For now we …
Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.
Well suited to its original purpose- usability testing and interviews. This can be performed at pace, given the large audience (although our brands are very well known so this should not be a barrier) and there is a decent level of task customisation when conducting unmoderated testing. Its less appropriate for survey where you are looking to capture genuine intent/behaviour, even with screeners the data skews more positively than onsite survey, makes me question the quality of survey respondents.
Quality of participant pool - many are career testers, and many are untruthful. Since sessions are auto-scheduled if the screener is past, you often don't know until they've completed the test. Allow double screening or be more stringent in removing users from the platform.
Unfinished products - focus on making one product the best it can be before moving on to a new one. Unmoderated testing is still missing features (randomization of 3 or more prototypes, etc.)
We will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.
I'm very happy with my experience of the product and the level of service and learning resources they provide. If the service becomes more expensive than it currently is then we might not be able to justify additional cost - but this is theoretical. I would recommend UserTesting and would ideally renew our contract.
Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements
It can be difficult to organize our tests and go back and find information. I think the AI tools are helping and will help with this, but for now it is time consuming to sort through all of the tests and information and then synthesize it and share it with others. It just takes a lot of time.
We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.
This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics
The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.
I have contacted UserTesting's customer service online, by email, or by phone a few times, and each time, I have encountered the same professionalism and expertise. Even in person during a work event, they were there, and it was the same experience.
love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.
I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.
From a technical perspective, the implementation was extremely smooth. Most of the change management / implementation hurdles were clearing use of the tool through our various security, legal, and information privacy teams. Once these concerns were addressed (UserTesting.com was very helpful in providing all the needed documentation), the implementation process was very simple and we were able to get going right away.
I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among Semrush and Google Analytics, I would say go for Semrush.
The quality of the participants: they usually have good feedback and act like "professional" users. Which is good when we want a few insights in a short amount of time. Also, the interface is good. I miss having more features, like a good transcription tool like we have in Condens
Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions
