Google Tag Manager vs. Optimizely Web Experimentation vs. Webtrends Optimize

I have found Google Tag Manager as the go to solution for managing all of your event and conversion tags for your website. Not only does it make it easy to manage all of your tags in the one place, it is fairly intuitive to use and there is plenty of videos and help documentation online to help set up what ever you need. No scenarios come to mind at the moment on where it is less appropriate to use.

Incentivized

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

Webtrends optimize is a marketing solution aimed squarely at transactional and eCom based websites. I would only recommend a colleague to engage with the solution once the marketing dept is at a point where their website is fully optimized in regards to SEO and all the other fundamentals in order to truly build upon what Webtrends can offer. This shows you an easier way of measuring your ROI and the money you will invest with the tool-moving forward.

Incentivized

• Selecting elements on a site [object, class, cookie, etc] (to later fire an event, send some data, etc) is very easy with triggers. Want to add an event when someone clicks on a button? Super easy. It was many many DOM selectors and you can even add custom functions if you need to do something more specific
• In general, firing events in different circumstances is very easy mixing triggers and tags. You can track almost any element of the DOM and do whatever you want with it.
• Testing is a great functionality. Only you can see what's on the site and you can debug it easily by seeing which events or tags were triggered and all the DOM elements involved (and why they matched the trigger).
• Working in environments (staging, production) and versioning is easy to do, deploying changes in 2 clicks.

Incentivized

• 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

• Intuitive test set-up makes for a low learning curve.
• Ability to create custom data tables which enable exporting of visitor level data for more in-depth analysis outside of the Webtrends Optimize platform.
• Visual Editor WYSIWYG interface enables non-technical users to easily execute basic tests.

• There are several good integrations, but there can always be more. Native tracking for call tracking solutions, analytics providers, non-Google advertisers would be top of my list.
• Documentation is just dreadful. Luckily there are some awesome folks out there doing crowdsourced tutorials (shout out to Simo Ahava) but by and large the Google Tag Manager instructions are worth what you pay for them.

Incentivized

• 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

• The cost is a factor. When you're trying to save money, particularly as a startup (a lot of our clients are up-and-comers) it has to be seen as an investment...but the cost to implement the system is fairly large.
• There's a bit of a steep learning curve, you can't just dive into the program.
• It's not impossible but it's not as easy as snapping your fingers to easily implement the program cross-platform.

Incentivized

I haven't found another option for us to use especially one that is free. Down the road we may go a different route but for now GTM is a good option and does what we need it to do. It'd be nice to get more support or more integrations but with the free version there's only so much one can expect to get I suppose.

Incentivized

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

Difficulty was getting business units to take the time and spend the money to test, and then implement, best options.

No difficult obstacle to overcome but Google Tag Manager can still be difficult for many users to deploy. Sure the basic HTML script can be deployed quite easily, but when you start to require triggers, variables, etc, it can be a little daunting.

Incentivized

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

Set up of basic tests that do not use segmentation or targeting is an intuitive experience that can be learned quickly by new users. However, as the need for segmentation and other more advanced capabilities arise, the experience begins to degrade.

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

zero complaints. I'm not aware of it ever failing.

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

Zero complaints. It seemed to do its job quickly and accurately.

GTM does not provide support. This is one of GTM's biggest issues but it's due to the level of customization for each website. If your team thinks they would heavily rely on the need for a support staff it is probably better to invest in a paid service with a team that can support your needs.

Incentivized

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.

The support from the team at Webtrends Optimize is unparalleled. There is always someone to consult should there be any issues.

I thought there was a little bit too much emphasis on AdWords stuff, not enough on the generic application of GTM.

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).

Online training was ok. Because every test is a custom test, there's only so much that can be covered in a generic lesson.

Planning and communication will help greatly with an in-house implementation. If there are large teams, try to limit the number of people involved to 1-2 developers (back-end dev may be necessary depending on your platform), one analytics marketer and one project manager.

Incentivized

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.

Implementation was pretty straightforward

We moved to GTM from a standard Google Analytics implementation. GTM is much more flexible and easier to make changes, especially as the changes relate to multiple sites and environments. While there is a learning curve when figuring out how to use GTM, I believe the change has been worth it because it helps us understand at a more fundamental level how our tracking works and gives us a lot more control over what we track and how.

Incentivized

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

Webtrends Optimize can be used for much more complex tests, allows better conversion tracking and data collection. Visual Website Optimizer (VWO) is suitable for smaller, simple projects. Webtrends Optimize comes with an excellent consultancy that could save you a lot of time and resources

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

• GTM is very useful to determine if a particular element on the site is useful (i.e. is it being watched, is it being clicked, does it help customers navigate through more pages). As an SEO person, I can use this information to decide what to optimize for but also to track progress and see improvements in engagement.
• With the use of Google Tag Manager, I was able to easily inject an A/B testing tool which lead to several improvements in lead generation.

Incentivized

• 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

• So far we haven't seen an ROI that we can accurately measure due to only running a couple of tests that haven't resulted in direct, site wide changes. However, we have learnt a lot about how to set up the right processes and documentation.