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
gShift (discontinued)
Score 7.0 out of 10
Mid-Size Companies (51-1,000 employees)
gShift was an enterprise SEO, Web presence analytics and content performance platform designed to help agency and brand marketers optimize, monitor and report on the performance of their multi-channel owned, earned and paid campaigns. The product is discontinued.
$199
Pricing
Google Analytics
gShift (discontinued)
Editions & Modules
Google Analytics 360
150,000
per year
Google Analytics
Free
kontextURLs
$199
Influencer Marketing module
$299
Brand Professional
$325
Agency Professional
$999
Offerings
Pricing Offerings
Google Analytics
gShift (discontinued)
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
SEO Platform pricing is based on the number of keywords per month.
kontextURL pricing is based on the number of clicks registered per month.
Influencer Marketing module pricing is based on the number of influencers and/or rosters managed.
More Pricing Information
Community Pulse
Google Analytics
gShift (discontinued)
Features
Google Analytics
gShift (discontinued)
Web Analytics
Comparison of Web Analytics features of Product A and Product B
Google Analytics
8.4
11 Ratings
4% above category average
gShift (discontinued)
-
Ratings
Lead Conversion Tracking
8.110 Ratings
00 Ratings
Bounce Rate Measurement
8.410 Ratings
00 Ratings
Device and Browser Reporting
9.211 Ratings
00 Ratings
Pageview Tracking
9.011 Ratings
00 Ratings
Event Tracking
8.311 Ratings
00 Ratings
Reporting in real-time
7.910 Ratings
00 Ratings
Referral Source Tracking
8.510 Ratings
00 Ratings
Customizable Dashboards
7.910 Ratings
00 Ratings
SEO
Comparison of SEO features of Product A and Product B
Google Analytics
-
Ratings
gShift (discontinued)
8.6
1 Ratings
12% above category average
Keyword analysis
00 Ratings
10.01 Ratings
Backlink management
00 Ratings
6.01 Ratings
SERP ranking tracking
00 Ratings
10.01 Ratings
Page grader
00 Ratings
9.01 Ratings
Competitive analysis
00 Ratings
9.01 Ratings
Site audit / diagnostics
00 Ratings
7.01 Ratings
Site recommendations
00 Ratings
8.01 Ratings
Task management
00 Ratings
10.01 Ratings
SEO Channels
Comparison of SEO Channels features of Product A and Product B
Google Analytics
-
Ratings
gShift (discontinued)
8.3
1 Ratings
10% above category average
Local SEO
00 Ratings
10.01 Ratings
Social SEO
00 Ratings
9.01 Ratings
Mobile SEO
00 Ratings
4.01 Ratings
Global SEO
00 Ratings
10.01 Ratings
SEO Platform & Account Management
Comparison of SEO Platform & Account Management features of Product A and Product B
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.
gShift's pace of development is pretty amazing and they are very responsive to enhancement requests and other feedback on their solutions. gShift is well-suited for an agency environment where multiple clients need the basics in keyword rankings and website analytics and PPC reporting integration. gShift is less suited for a large organizations with multiple properties or web presences that are all integrated but require silos for reporting purposes or any type of parent-child reporting relationship that necessitates reporting at the property level as well as summarized reporting for all properties.
Minor bugs and defects are an ongoing issue - for example, PDF export capability for custom dashboards seems to be down frequently. While these type of defects are always resolved in 1-2 weeks, the fact that some of them keep reoccurring is an ongoing frustration.
Custom Dashboard functionality is limited to pre-set defaults as far as what data points or "beacons" as gShift calls them, that you could pull.
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
We have been able to identify other keyword ranking opportunities and increase our on-site conversion rate.
gShift has helped us prioritize content and discover content that is over-performing, and better optimize that content and use it for remarketing purposes.