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Adobe Analytics vs. Google Analytics vs. Optimizely Web Experimentation

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Adobe Analytics

    Score8.2 out of 10
    N/AAdobe acquired Omniture in 2009 and re-branded the platform as SiteCatalyst. It is now part of Adobe Marketing Cloud along with other products such as social marketing, test and targeting, and tag management. SiteCatalyst is one of the leading vendors in the web analytics category and is particularly strong in combining web analytics with other digital marketing capabilities like audience management and data management. Adobe Analytics also includes predictive marketing capabilities that help…N/A

    Google Analytics

    Score8.3 out of 10
    N/AGoogle 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

    Optimizely Web Experimentation

    Score8.7 out of 10
    N/AWhether launching a first test or scaling a sophisticated experimentation program, Optimizely Web Experimentation aims to deliver the insights needed to craft high-performing digital experiences that drive engagement, increase conversions, and accelerate growth.N/A
    Pricing
    Adobe AnalyticsGoogle AnalyticsOptimizely Web Experimentation
    Editions & Modules
    No answers on this topic
    Google Analytics 360
    150,000
    per year
    Google Analytics
    Free
    No answers on this topic
    Offerings
    Pricing Offerings
    Adobe AnalyticsGoogle AnalyticsOptimizely Web Experimentation
    Free Trial
    NoNoYes
    Free/Freemium Version
    NoYesNo
    Premium Consulting/Integration Services
    YesNoYes
    Entry-level Setup FeeOptionalNo setup feeOptional
    Additional Details———
    More Pricing Information
    Community Pulse
    Adobe AnalyticsGoogle AnalyticsOptimizely Web Experimentation
    Considered Multiple Products
    Adobe
    Chose Adobe Analytics
    Adobe Analytics give us more detailed reports and better option to customize the data than Google Analytics. Google Analytics is comparatively easier to setup and works well for basic tracking. We selected Adobe Analytics over Google Analytics because we need detailed customer …
    Incentivized
    Chose Adobe Analytics
    I've used Google Analytics, which is probably the most direct competitor to Adobe Analytics, as well as Pendo Analytics, which is a little bit more of an adjacent product. It's more focused on product analytics rather than web analytics. I've also used Localytics, which is a …
    Incentivized
    Chose Adobe Analytics
    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 …
    Incentivized
    Chose Adobe Analytics
    Compared to Google Analytics, Adobe Analytics is more powerful for deep segmentation and global analysis. It’s a bit less intuitive, but we chose it for flexibility, better cross-channel attribution, and the ability to handle complex user journeys at scale, which mattered more …
    Incentivized
    Chose Adobe Analytics
    Adobe Analytics far more comprehensive offering, the only advantage GA has is it's integration with Google Ads
    Incentivized
    Chose Adobe Analytics
    Historically I've looked at a lot of different products. More recently I'd say Mamo and Google Analytics. Those are probably the two big ones that I've seen around, so yeah.

    It's more feature rich. It provides more dimensions, more breakdowns, and it also scales data better.
    Incentivized
    Chose Adobe Analytics
    Many of our users come from a background of using Google Analytics. They like it, but Adobe Analytics gives them an ability for a more thorough analysis.
    Incentivized
    Chose Adobe Analytics
    I used Google Analytics extensively but Adobe Analytics triumphs. It provides an overall overview which is extremely helpful. Google is a great tool for advertisement and I suggest you not go into that venture to keep your exclusivity. This makes Adobe Analytics amazing and …
    Incentivized
    Chose Adobe Analytics
    I definitely can see the value over Google Analytics, keep up the great work.
    Incentivized
    Chose Adobe Analytics
    They are similar. I have more experience with GA though.
    Incentivized
    Chose Adobe Analytics
    Adobe Analytics is far better and customizable than the free version of Google Analytics.
    Incentivized
    Chose Adobe Analytics
    Adobe Analytics was just easier to adapt to based on the other software and programs that we have implemented. The pricing also was very fair and competitive. We wanted a service that is reliable and dependable. We could have gone cheaper but that would have compromised a lot …
    Incentivized
    Chose Adobe Analytics
    We felt Adobe Analytics was a much more robust platform and stacked that gave us much more depth into user behavior across our different channels. We needed a platform that had no sampling involved with a longer time. Period for analysis to ensure we were always able to pull …
    Incentivized
    Chose Adobe Analytics
    I chose Adobe Analytics at the time because Google was just for Google. But they are changing, so it may be worth another look
    Incentivized
    Chose Adobe Analytics
    Clients usually select Adobe Analytics because it suits them better than the alternatives and they want more customisation than GA4 offers. Also because they might be with Adobe Experience Cloud for a few other things like tag management, A/B testing, audience manager, campaign …
    Incentivized
    Chose Adobe Analytics
    Adobe Analytics is suited for all web properties to provide Metrics, Data collection and tracking and is more robust.
    Incentivized
    Chose Adobe Analytics
    it is not worth to the volume of data we deal with
    Incentivized
    Chose Adobe Analytics
    Adobe is more sophisticated and customizable but Google UI is a lot cleaner and nice that it connects with Gmail data so you can see demo of people going to your site/app.
    Incentivized
    Chose Adobe Analytics
    Adobe Analytics has just been more reliable and consistent.
    Incentivized
    Chose Adobe Analytics
    Adobe Analytics allows us to more seamlessly track our success by different business segments and by specific user behavior.
    Incentivized
    Chose Adobe Analytics
    I find Adobe is way more advanced in reporting.
    Incentivized
    Chose Adobe Analytics
    Better visualization platform but cost per api call makes it more expensive for complex tracking.
    Incentivized
    Google
    Chose Google Analytics
    Adobe Analytics is better in almost all aspects except for it's complexity in implementation.
    Incentivized
    Chose Google Analytics
    Adobe Analytics is good but it is more suited to people who are fully and technically into reporting and the solutions it provides. Google Analytics on the other hand provides a much easier way of setting up the Analytics. Most of the data reporting, charts and visualisations …
    Incentivized
    Chose Google Analytics
    Ease of use: Google Analytics is known for its user-friendly interface and straightforward setup process, making it accessible for beginners. Adobe Analytics has a steeper learning curve and requires more technical expertise.
    Features: Adobe Analytics offers a more comprehensive …
    Incentivized
    Chose Google Analytics
    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 …
    Incentivized
    Chose Google Analytics
    Adobe Analytics and Google Analytics 360 are both paid/premium options for website tracking. Though there are certain use cases when these might make sense (you operate entirely in the Adobe suite, you're a massive company/site that doesn’t mind the price tag on Google …
    Incentivized
    Chose Google Analytics
    Adobe Analytics has been in the market for a long time; some people still know it as Omniture or SiteCatalyst. It seems that some great ideas from Google Analytics, such as Enhanced Ecommerce and the new way of measuring events with GA4, are adapted from the traditional Adobe …
    Incentivized
    Chose Google Analytics
    We have been using Adobe Analytics for a while but the system seemed to be more complex when compared to super user friendly Google Analytics. Moreover, the option to add custom metrics and dimensions is lacking in Adobe Analytics. Google Analytics is good with transactional …
    Incentivized
    Chose Google Analytics
    Google Analytics (free version) is typically my go-to recommendation for most companies. Small to medium size businesses, definitely. Larger organizations with need for a complex account structure / hierarchy and the need for highly customized analytics metrics, dimensions, …
    Incentivized
    Chose Google Analytics
    Plain and simple - Google Analytics is a free solution with a robust amount of reporting capabilities. It only lacks as it provides a certain amount of reporting points out of the box compared to Adobe Analytics which is more of an enterprise type of reporting solutions. Adobe …
    Incentivized
    Chose Google Analytics
    Google Analytics is free! And while Adobe Analytics is arguably more powerful, it's paid.
    Additionally, Google Analytics' integrations are vastly well known, thoroughly well (and more) documented, and used by more people. That means that it's also easy to find people that are …
    Incentivized
    Chose Google Analytics
    For our use case, Google Analytics is used to measure our blog traffic, while our company relies on Adobe Analytics for all other tracking/reporting.
    Incentivized
    Chose Google Analytics
    Google Analytics is free and easy to implement, so we use Google Analytics in smaller projects that have a limited analytics budget. However, Google Analytics has a relatively limited analytics capacity compared to Adobe Analytics so it is not being used for large-scale …
    Incentivized
    Chose Google Analytics
    Google Analytics is for me the default one to implement especially for business starting in analytics. The time (aka cost) of implementation is very low and it provides results in a matter of hours. The integration with the Google ecosystem is also a plus especially when …
    Incentivized
    Chose Google Analytics
    Built-in reports are beneficial but you can create custom reports if you need more details with different dimensions and metrics it also provides insights which is just little data about your site traffic in sentence format its the best way to know which strategy you are on …
    Incentivized
    Chose Google Analytics
    Google Analytics provides everything you need in terms of straight forward analytics needs. The tool is not very flexible compared to other software such as adobe, and if you want to upgrade to premium or add in a bunch of custom situations, that can be become very [tedious] …
    Incentivized
    Chose Google Analytics
    Google Analytics had the best price (it's free for major of our clients), and it was easy to find professionals that had experience on using it.
    Incentivized
    Chose Google Analytics
    [Google Analytics] provides a broader appeal, combining what would usually require several different platforms, and as such is a bit of a jack of all trades in comparison, although often to a "good enough" level. If there is a particular aspect that you then find you would like …
    Incentivized
    Chose Google Analytics
    Google Analytics is the industry standard, integrates seamlessly with most site setups, and cannot even be compared on cost. While it falls short in some areas like individual user tracking and cross-device reporting, it provides 80-90% of the needed visibility for online …
    Incentivized
    Chose Google Analytics
    Google Analytics has its advantages over its competitors. It is well suited to smaller companies.
    Incentivized
    Chose Google Analytics
    Google Analytics is the web's gold standard. We also use StatCounter for redundancy sake and because its visitor tracking and basic reporting are spectacular. But Google is a must-have no matter what else you end up using.

    The redundancy issues plays out in terms of data …
    Incentivized
    Chose Google Analytics
    Google Analytics stacks up as some of the best among the competition, assuming you're using it for its intended purpose. It's been the easiest to integrate into our applications, as well as the easiest UI to use. We selected Google Analytics for security and budget reasons, but …
    Incentivized
    Chose Google Analytics
    Both are great, just different. Most clients believe Google is the golden standard due to the strong presence of Google's brand everywhere, but Adobe seems to have stronger, drill down tracking at the expense of a harder to use interface.
    Incentivized
    Chose Google Analytics
    We like Google Analytics because it's free and powerful. And it works well for websites small to large.
    Incentivized
    Chose Google Analytics
    We have been using Google Analytics for over 10 years. Over that time we have periodically reviewed our analytics platforms a number of times. For us, it made more sense to stay with google analytics primarily because if we migrated to another platform we would lose the …
    Incentivized
    Optimizely
    Chose Optimizely Web Experimentation
    The ability to do A/B testing in Optimizely along with the associated statistical modelling and audience segmentation means it is a much better solution than using something like Google Analytics were a lot more effort is required to identify and isolate the specific data you …
    Incentivized
    Chose Optimizely Web Experimentation
    It's a lot more, well, site stacked, it's way better than that. Adobe Target. I think the UI is easier to use on Optimizely. The one thing that I would say comparatively is our analytics talking to each other. Obviously Adobe, we use Adobe Analytics and Adobe Target, so they …
    Incentivized
    Chose Optimizely Web Experimentation
    Google Optimize was much less flexible for our program needs and requires Google Analytics for analysis and metrics tracking. Optimizely Web Experimentation lets you build any number of metrics which can be much more complex than standard GA goals. Optimizely Web …
    Incentivized
    Chose Optimizely Web Experimentation
    I'm new to Experimentations. This is the only product that I've used.
    Incentivized
    Chose Optimizely Web Experimentation
    Best-in-Class Experiment Design compared to platforms like VWO and Convert. Optimizely offers a more polished and intuitive UI for setting up experiments. It feels purpose-built with lots of concurrent tests. Features like traffic allocation, audience targeting, and variation …
    Incentivized
    Chose Optimizely Web Experimentation
    This is a platform that was already implemented when I started with my current company.
    Incentivized
    Chose Optimizely Web Experimentation
    None of them have a best in class stats engine and live within an ecosystem of marketing technology products the way that Optimizely does, so the scalability of using any one of those tools is limited as compared to using Optimizely Web Experimentation.
    Incentivized
    Chose Optimizely Web Experimentation
    Optimizely is more user-friendly and cost-effective, ideal for experimentation-focused teams, while Adobe Target excels in advanced personalization and seamless integration within the Adobe ecosystem, making it better suited for large enterprises.
    Incentivized
    Chose Optimizely Web Experimentation
    We haven't used other Optimizely products apart from Web Experimentation.
    Incentivized
    Chose Optimizely Web Experimentation
    Optimizely Web Experimentation has more robust product for experimentation specialists than VWO
    Incentivized
    Chose Optimizely Web Experimentation
    Better tools but more expensive
    Incentivized
    Chose Optimizely Web Experimentation
    Marketing mostly focuses on small changes to static sites, which is well suited to Optimizely.
    Incentivized
    Chose Optimizely Web Experimentation
    The choice was made by the organisation prior to my joining.
    Incentivized
    Chose Optimizely Web Experimentation
    It's slightly more complicated to use, but in my experience, it has more capabilities. Also, Google Optimize was depreciated, so this is definitely the next best platform.
    Incentivized
    Chose Optimizely Web Experimentation
    More complex
    Incentivized
    Chose Optimizely Web Experimentation
    Less development required once the tool is fully implemented and easier to scale
    Incentivized
    Chose Optimizely Web Experimentation
    Optimizely has better customer service if you need to talk to a person and a great library of documentation if you run into issues and want to troubleshoot yourself. Web Experimentation has allowed for our testing capabilities to grow as our research program develops. …
    Incentivized
    Chose Optimizely Web Experimentation
    Google Optimize was great, but our organization already had contracts with Optimizely Web Experimentation for their other tools. unbounce wasn't really an option either mainly because it was only a landing page testing tool and had to use their platform to host the tests. We …
    Incentivized
    Chose Optimizely Web Experimentation
    Optimizely is an integrated solution that supports all the performance areas and does the analytics while working on all other areas. The products I use were a lot more simple, they helped me but in a limited way so I came to search for software and tool which fitted really well.
    Incentivized
    Chose Optimizely Web Experimentation
    Optimizely Web Experimentation stacks up favorably against Adobe Target, Kameleoon, and Oracle CX Marketing in terms of ease of use, customer service, and features. It is easy to set up and execute experiments, the customer service team is always quick to respond to any …
    Incentivized
    Chose Optimizely Web Experimentation
    Optimizely is ok and cost effective compared to other tools. In general the industry keeps lowering the value of tools as they broaden the audience.
    Incentivized
    Chose Optimizely Web Experimentation
    We have evaluated Optimize every year against Optimizely. I am a google fan, but their product is not up to the level of Optimizely. They do not offer multi-page tests, and a lot of our changes sometimes span the whole funnel. For that reason alone, it's currently unusable.
    Incentivized
    Chose Optimizely Web Experimentation
    None
    Incentivized
    Key User Insights
    Would buy again
    95%
    Would buy again
    181 Answers
    96%
    Would buy again
    101 Answers
    95%
    Would buy again
    89 Answers
    Delivers good value for the price
    95%
    Delivers good value for the price
    140 Answers
    100%
    Delivers good value for the price
    100 Answers
    96%
    Delivers good value for the price
    69 Answers
    Happy with the feature set
    95%
    Happy with the feature set
    181 Answers
    99%
    Happy with the feature set
    104 Answers
    95%
    Happy with the feature set
    89 Answers
    Lived up to sales and marketing promises
    96%
    Lived up to sales and marketing promises
    105 Answers
    97%
    Lived up to sales and marketing promises
    77 Answers
    91%
    Lived up to sales and marketing promises
    52 Answers
    Implementation went as expected
    84%
    Implementation went as expected
    102 Answers
    96%
    Implementation went as expected
    87 Answers
    87%
    Implementation went as expected
    58 Answers
    Features
    Adobe AnalyticsGoogle AnalyticsOptimizely Web Experimentation
    Web Analytics
    Comparison of Web Analytics features of Adobe Analytics and Google Analytics and Optimizely Web Experimentation
    Feature
    Adobe Analytics
    7.9
    100 Ratings
    2% below category average
    Google Analytics
    8.4
    11 Ratings
    4% above category average
    Optimizely Web Experimentation
    -
    Ratings
    Lead Conversion Tracking7.591 Ratings8.210 Ratings00 Ratings
    Bounce Rate Measurement7.797 Ratings8.410 Ratings00 Ratings
    Device and Browser Reporting8.398 Ratings9.311 Ratings00 Ratings
    Pageview Tracking8.696 Ratings9.111 Ratings00 Ratings
    Event Tracking8.496 Ratings8.411 Ratings00 Ratings
    Reporting in real-time6.994 Ratings7.810 Ratings00 Ratings
    Referral Source Tracking8.094 Ratings8.610 Ratings00 Ratings
    Customizable Dashboards8.295 Ratings7.910 Ratings00 Ratings
    Testing and Experimentation
    Comparison of Testing and Experimentation features of Adobe Analytics and Google Analytics and Optimizely Web Experimentation
    Feature
    Adobe Analytics
    -
    Ratings
    Google Analytics
    -
    Ratings
    Optimizely Web Experimentation
    8.0
    163 Ratings
    5% below category average
    a/b experiment testing00 Ratings00 Ratings9.0163 Ratings
    Split URL testing00 Ratings00 Ratings8.5135 Ratings
    Multivariate testing00 Ratings00 Ratings8.4139 Ratings
    Multi-page/funnel testing00 Ratings00 Ratings7.9126 Ratings
    Cross-browser testing00 Ratings00 Ratings8.197 Ratings
    Mobile app testing00 Ratings00 Ratings8.075 Ratings
    Test significance00 Ratings00 Ratings8.4147 Ratings
    Visual / WYSIWYG editor00 Ratings00 Ratings8.1133 Ratings
    Advanced code editor00 Ratings00 Ratings7.9125 Ratings
    Page surveys00 Ratings00 Ratings6.217 Ratings
    Visitor recordings00 Ratings00 Ratings8.418 Ratings
    Preview mode00 Ratings00 Ratings7.6145 Ratings
    Test duration calculator00 Ratings00 Ratings7.9112 Ratings
    Experiment scheduler00 Ratings00 Ratings8.2112 Ratings
    Experiment workflow and approval00 Ratings00 Ratings7.890 Ratings
    Dynamic experiment activation00 Ratings00 Ratings7.574 Ratings
    Client-side tests00 Ratings00 Ratings7.896 Ratings
    Server-side tests00 Ratings00 Ratings7.250 Ratings
    Mutually exclusive tests00 Ratings00 Ratings8.280 Ratings
    Audience Segmentation & Targeting
    Comparison of Audience Segmentation & Targeting features of Adobe Analytics and Google Analytics and Optimizely Web Experimentation
    Feature
    Adobe Analytics
    -
    Ratings
    Google Analytics
    -
    Ratings
    Optimizely Web Experimentation
    8.2
    152 Ratings
    7% below category average
    Standard visitor segmentation00 Ratings00 Ratings8.4147 Ratings
    Behavioral visitor segmentation00 Ratings00 Ratings7.6122 Ratings
    Traffic allocation control00 Ratings00 Ratings9.1144 Ratings
    Website personalization00 Ratings00 Ratings7.8111 Ratings
    Results and Analysis
    Comparison of Results and Analysis features of Adobe Analytics and Google Analytics and Optimizely Web Experimentation
    Feature
    Adobe Analytics
    -
    Ratings
    Google Analytics
    -
    Ratings
    Optimizely Web Experimentation
    8.3
    149 Ratings
    4% below category average
    Heatmap tool00 Ratings00 Ratings9.313 Ratings
    Click analytics00 Ratings00 Ratings8.833 Ratings
    Scroll maps00 Ratings00 Ratings8.517 Ratings
    Form fill analysis00 Ratings00 Ratings8.072 Ratings
    Conversion tracking00 Ratings00 Ratings8.744 Ratings
    Goal tracking00 Ratings00 Ratings8.2127 Ratings
    Test reporting00 Ratings00 Ratings7.9137 Ratings
    Results segmentation00 Ratings00 Ratings7.7103 Ratings
    CSV export00 Ratings00 Ratings7.9102 Ratings
    Experiments results dashboard00 Ratings00 Ratings8.049 Ratings
    Best Alternatives
    Adobe AnalyticsGoogle AnalyticsOptimizely Web Experimentation
    Small Businesses
    Matomo Analytics
    Score9 out of 10
    Matomo Analytics
    Score9 out of 10
    Google Optimize
    Score6.7 out of 10
    Medium-sized Companies
    Lead Forensics
    Score9 out of 10
    Lead Forensics
    Score9 out of 10
    AB Tasty
    Score8.6 out of 10
    Enterprises
    Chartbeat
    Score9.2 out of 10
    Chartbeat
    Score9.2 out of 10
    Google Content Experiments (discontinued)
    Score7.3 out of 10
    All AlternativesView all alternativesView all alternativesView all alternatives
    User Ratings
    Adobe AnalyticsGoogle AnalyticsOptimizely Web Experimentation
    Likelihood to Recommend
    8.3
    (281 ratings)
    8.5
    (193 ratings)
    8.7
    (254 ratings)
    Likelihood to Renew
    8.5
    (140 ratings)
    9.0
    (51 ratings)
    9.5
    (51 ratings)
    Usability
    8.3
    (133 ratings)
    7.4
    (19 ratings)
    10.0
    (58 ratings)
    Availability
    8.1
    (12 ratings)
    10.0
    (4 ratings)
    10.0
    (7 ratings)
    Performance
    8.0
    (11 ratings)
    10.0
    (2 ratings)
    7.3
    (6 ratings)
    Support Rating
    10.0
    (42 ratings)
    7.0
    (42 ratings)
    10.0
    (16 ratings)
    In-Person Training
    1.1
    (5 ratings)
    -
    (0 ratings)
    -
    (0 ratings)
    Online Training
    7.0
    (5 ratings)
    10.0
    (2 ratings)
    3.0
    (1 ratings)
    Implementation Rating
    3.0
    (11 ratings)
    9.0
    (7 ratings)
    8.0
    (11 ratings)
    Configurability
    -
    (0 ratings)
    6.0
    (2 ratings)
    6.0
    (1 ratings)
    Contract Terms and Pricing Model
    7.3
    (6 ratings)
    -
    (0 ratings)
    -
    (0 ratings)
    Ease of integration
    -
    (0 ratings)
    10.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    10.0
    (2 ratings)
    10.0
    (2 ratings)
    8.0
    (163 ratings)
    Professional Services
    7.9
    (5 ratings)
    -
    (0 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Adobe AnalyticsGoogle AnalyticsOptimizely Web Experimentation
    Likelihood to Recommend
    Adobe
    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
    Incentivized
    Read full review
    Google
    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.
    Read full review
    Optimizely
    I think it can serve the whole spectrum of experiences from people who are just getting used to web experimentation. It's really easy to pick up and use. If you're more experienced then it works well because it just gets out of the way and lets you really focus on the experimentation side of things. So yeah, strongly recommend. I think it is well suited both to small businesses and large enterprises as well. I think it's got a really low barrier to entry. It's very easy to integrate on your website and get results quickly. Likewise, if you are a big business, it's incrementally adoptable, so you can start out with one component of optimizing and you can build there and start to build in things like data CMS to augment experimentation as well. So it's got a really strong a pathway to grow your MarTech platform if you're a small company or a big company.
    Incentivized
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    Pros
    Adobe
    • 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.
    Incentivized
    Read full review
    Google
    • Multiple reports to see website use and behavior
    • Allows you to customize reports with days, weeks, months, and years
    • You can build out a dashboard to easily view stats from multiple websites in one place
    • You can share analytics reports via the dashboard, automatically emailed PDFs or in other formats
    Incentivized
    Read full review
    Optimizely
    • The Platform contains drag-and-drop editor options for creating variations, which ease the A/B tests process, as it does not require any coding or development resources.
    • Establishing it is so simple that even a non-technical person can do it perfectly.
    • It provides real-time results and analytics with robust dashboard access through which you can quickly analyze how different variations perform. With this, your team can easily make data-driven decisions Fastly.
    Incentivized
    Read full review
    Cons
    Adobe
    • 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.
    Incentivized
    Read full review
    Google
    • Data sampling is somewhat inaccurate on the free tier - this is addressed in premium but is expensive.
    • Some of the UI is very similar in naming when presenting different data, some in-situ information might be useful.
    • Gotchas around filtering and data validation.
    • Implementation can be tricky, it can take a lot of time and expertise to get a full, accurate picture of your metrics.
    Incentivized
    Read full review
    Optimizely
    • JavaScript is hard to implement sometimes especially for JQuery elements
    • ROI reporting should be part of the overall experimentation reporting
    • CMP integration: where we can easily show status of test on the HPT request
    • CMS integration
    • More widgets like social proof banners, etc.
    Incentivized
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    Likelihood to Renew
    Adobe
    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
    Incentivized
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    Google
    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.
    Incentivized
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    Optimizely
    I rated this question because at this stage, Optimizely does most everything we need so I don't foresee a need to migrate to a new tool. We have the infrastructure already in place and it is a sizeable lift to pivot to another tool with no guarantee that it will work as good or even better than Optimizely
    Incentivized
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    Usability
    Adobe
    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.
    Incentivized
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    Google
    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
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    Optimizely
    Optimizely Web Experimentation's visual editor is handy for non-technical or quick iterative testing. When it comes to content changes it's as easy as going into wordpress, clicking around, and then seeing your changes live--what you see is what you get. The preview and approval process for sharing built experiments is also handy for sharing experiments across teams for QA purposes or otherwise.
    Incentivized
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    Reliability and Availability
    Adobe
    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
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    Google
    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.
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    Optimizely
    I would rate Optimizely Web Experimentation's availability as a 10 out of 10. The software is reliable and does not experience any application errors or unplanned outages. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
    Incentivized
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    Performance
    Adobe
    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
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    Google
    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
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    Optimizely
    I would rate Optimizely Web Experimentation's performance as a 9 out of 10. Pages load quickly, reports are complete in a reasonable time frame, and the software does not slow down any other software or systems that it integrates with. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
    Incentivized
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    Support Rating
    Adobe
    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
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    Google
    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.
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    Optimizely
    They always are quick to respond, and are so friendly and helpful. They always answer the phone right away. And [they are] always willing to not only help you with your problem, but if you need ideas they have suggestions as well.
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    In-Person Training
    Adobe
    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
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    Google
    No answers on this topic
    Optimizely
    No answers on this topic
    Online Training
    Adobe
    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.
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    Google
    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.
    1. How to Use Google Analytics for Beginners – Mahalo’s how-to guide for beginners.
    2. A beginner’s guide to Google Analytics – A free eBook walking you through Google Analytics from setup to understanding what data is being presented.
    3. Getting to Know Your Google Analytics Dashboard – The title says it all! This is a brief post with one goal: to introduce you to the Google Analytics dashboard.
    4. Google Analytics for Beginners: How to Make the Most of Your Traffic Reports– This guide doesn’t cover setup, but it does a great job of helping you to better understand the data being presented.
    5. Google Analytics Video Tutorial 1: Setup – A video presentation that walks you through Google Analytics setup.
    6. Google Analytics Video Tutorial 2: Essential Stats – A video presentation that introduces you to some of the most important data being presented in Google Analytics.
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    Optimizely
    The tool itself is not very difficult to use so training was not very useful in my opinion. It did not also account for success events more complex than a click (which my company being ecommerce is looking to examine more than a mere click).
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    Implementation Rating
    Adobe
    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.
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    Google
    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.
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    Optimizely
    In retrospect: - I think I should have stressed more demo's / workshopping with the Optimizely team at the start. I felt too confident during demo stages, and when came time to actually start, I was a bit lost. (The answer is likely I should have had them on-hand for our first install.. they offered but I thought I was OK.) - Really getting an understanding / asking them prior to install of how to make it really work for checkout pages / one that uses dynamic content or user interaction to determine what the UI does. Could have saved some time by addressing this at the beginning, as some things we needed to create on our site for Optimizely to "use" as a trigger for the variation test. - Having a number of planned/hoped-for tests already in-hand before working with Optimizely team. Sharing those thoughts with them would likely have started conversations on additional things we needed to do to make them work (rather than figuring that out during the actual builds). Since I had development time available, I could have added more things to the baseline installation since my developers were already "looking under the hood" of the site.
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    Alternatives Considered
    Adobe
    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.
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    Google
    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.
    Incentivized
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    Optimizely
    The ability to do A/B testing in Optimizely along with the associated statistical modelling and audience segmentation means it is a much better solution than using something like Google Analytics were a lot more effort is required to identify and isolate the specific data you need to confidently make changes
    Incentivized
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    Contract Terms and Pricing Model
    Adobe
    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
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    Google
    No answers on this topic
    Optimizely
    No answers on this topic
    Scalability
    Adobe
    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
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    Google
    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
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    Optimizely
    We can use it flexibly across lines of business and have it in use across two departments. We have different use cases and slightly different outcomes, but can unify our results based on impact to the bottom line. Finally, we can generate value from anywhere in the org for any stakeholders as needed.
    Incentivized
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    Professional Services
    Adobe
    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
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    Google
    No answers on this topic
    Optimizely
    No answers on this topic
    Return on Investment
    Adobe
    • 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.
    Incentivized
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    Google
    • It has helped us gain understanding of what is going on on our website.
    • It has helped us determine areas that need fixing (i.e. pages with extremely high bounce rates may need to be redone).
    • It has helped us understand our biggest avenues for bringing traffic to the website and business in general.
    • It has helped guide our website redesign.
    Incentivized
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    Optimizely
    • We're able to share definitive annualized revenue projections with our team, showing what would happen if we put a test into Production
    • Showing the results of a test on a new page or feature prior to full implementation on a site saves developer time (if a test proves the new element doesn't deliver a significant improvement.
    • Making a change via the WYSIWYG interface allows us to see multiple changes without developer intervention.
    Incentivized
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    ScreenShots

    Adobe Analytics Screenshots

    Screenshot of the Alert Builder in Adobe Analytics.Screenshot of an Analysis Workspace Training Tutorial in Adobe AnalyticsScreenshot of attribution in Adobe AnalyticsScreenshot of the Segment Builder in Adobe AnalyticsScreenshot of anomaly detection in Adobe AnalyticsScreenshot of the Alert Builder in Adobe Analytics

    Optimizely Web Experimentation Screenshots

    Screenshot of AI-Powered Experimentation with Opal:

- Instant Test Ideas: Generates high-quality A/B test ideas based on any goals and audience insights.
- Smarter Experimentation: The AI can suggest impactful variations, reducing guesswork and increasing test velocity.
- More Than Just Ideas: From hypothesis generation to analyzing results, Opal helps optimize every stage of the experimentation process.Screenshot of the new Visual Editor with an AI Variation Development Agent

Create simple or advanced website changes fast without writing a line of code with our AI Development Agent.

Use natural language to build out your ideas and apply brand styles to your experiments instantly.Screenshot of Advanced Audience Targeting:

- Delivers personalized experiences by targeting users based on behaviors, attributes, and real-time conditions.
- Defines precise audience segments using first-party data, geolocation, and device type.
- Can test and optimize for different audience groups to maximize impact and engagement.Screenshot of Variation Template

Library of experience templates that you can access right within the Visual Editor. Customize these templates or create your own to easily reuse throughout your experimentation program.

- Offers pre-built templates for common test setups.
- Standardized variations and maintains brand integrity with reusable templates.
- Templates can be customized visually or tweak them with code for full flexibility.Screenshot of Web Experimentation Results Page:

- Data visualizations help interpret experiment performance.
- Displays which variations are winning with built-in statistical significance calculations.
- Results can be filtered by audience segments, events, and conversions to uncover key trends.Screenshot of the custom code editor for JavaScript & CSS changes, used to build complex tests.