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
per month
Pricing
Avenseo (discontinued)
Google Analytics
Editions & Modules
No answers on this topic
Google Analytics 360
150,000
per year
Google Analytics
Free
Offerings
Pricing Offerings
Avenseo (discontinued)
Google Analytics
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Avenseo (discontinued)
Google Analytics
Features
Avenseo (discontinued)
Google Analytics
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Avenseo (discontinued)
9.7
1 Ratings
15% above category average
Google Analytics
-
Ratings
a/b experiment testing
10.01 Ratings
00 Ratings
Split URL testing
10.01 Ratings
00 Ratings
Multivariate testing
10.01 Ratings
00 Ratings
Multi-page/funnel testing
10.01 Ratings
00 Ratings
Cross-browser testing
10.01 Ratings
00 Ratings
Mobile app testing
9.01 Ratings
00 Ratings
Test significance
10.01 Ratings
00 Ratings
Visual / WYSIWYG editor
10.01 Ratings
00 Ratings
Advanced code editor
7.01 Ratings
00 Ratings
Page surveys
8.01 Ratings
00 Ratings
Visitor recordings
10.01 Ratings
00 Ratings
Preview mode
10.01 Ratings
00 Ratings
Test duration calculator
10.01 Ratings
00 Ratings
Experiment scheduler
10.01 Ratings
00 Ratings
Experiment workflow and approval
10.01 Ratings
00 Ratings
Dynamic experiment activation
10.01 Ratings
00 Ratings
Client-side tests
10.01 Ratings
00 Ratings
Server-side tests
10.01 Ratings
00 Ratings
Mutually exclusive tests
10.01 Ratings
00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Avenseo (discontinued)
10.0
1 Ratings
13% above category average
Google Analytics
-
Ratings
Standard visitor segmentation
10.01 Ratings
00 Ratings
Behavioral visitor segmentation
10.01 Ratings
00 Ratings
Traffic allocation control
10.01 Ratings
00 Ratings
Website personalization
10.01 Ratings
00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Avenseo (discontinued)
9.6
1 Ratings
11% above category average
Google Analytics
-
Ratings
Heatmap tool
10.01 Ratings
00 Ratings
Click analytics
10.01 Ratings
00 Ratings
Scroll maps
9.01 Ratings
00 Ratings
Form fill analysis
9.01 Ratings
00 Ratings
Conversion tracking
10.01 Ratings
00 Ratings
Goal tracking
10.01 Ratings
00 Ratings
Test reporting
9.01 Ratings
00 Ratings
Results segmentation
10.01 Ratings
00 Ratings
CSV export
10.01 Ratings
00 Ratings
Experiments results dashboard
9.01 Ratings
00 Ratings
Web Analytics
Comparison of Web Analytics features of Product A and Product B
When a business wants to grow they need more conversion no matter what. In this regard, this A/B and MVT platform is a game-changer. If your business is on the right track then do not hesitate to jump into this software to witness a significant upgrade in your growth.
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.
Implementing Avenseo is quite easy; for most of our clients they have nothing to do but to add two lines of code and let us do the configuration of the test and the frontend developpement. You can easily check your variations as if it were already live, using a control box so you don't have unexpected bugs when your test goes live !
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.
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
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.
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.
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.
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