Whether 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
SiteSpect
Score 8.0 out of 10
Enterprise companies (1,001+ employees)
Key features include:
- A/B, split, and multivariate testing campaign management
- Targeting and personalization
- Front-end usability testing
- Back-end testing using Origin Experiments
- Site acceleration with SiteSpect AMPS(R)
- Mobile site and native app support
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 …
We wanted one tool, that was easy for marketers and developers to use and would allow us to remain organized. Neither Of the other products allowed for this as seamlessly as Optimizely.
We haven't seen any platform deliver the flicker-free performance of SiteSpect. While most platforms have improved their business user facing tools since we originally selected SiteSpect, we've never had any doubt about it's advanced capabilities. Any test we can imagine can be …
Most of these other tools do not really have a direct comparison. Optimizely and Visual Website Optimizer (VWO) are both A/B testing tools that are similar in nature to SiteSpect. Both Optimizely and VWO are good tools and have their place, but they are not as flexible or as …
I've also used Adobe's Test & Target tool at another company. It has a nice user interface, but SiteSpect is easier to scale and maintain because the architecture eliminates the need to tag (put mboxes) on the pages on your site. We also did some research on Optimizely, but …
Features
Optimizely Web Experimentation
SiteSpect
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Optimizely Web Experimentation
7.9
163 Ratings
6% below category average
SiteSpect
-
Ratings
a/b experiment testing
9.0163 Ratings
00 Ratings
Split URL testing
8.5135 Ratings
00 Ratings
Multivariate testing
8.4139 Ratings
00 Ratings
Multi-page/funnel testing
7.9126 Ratings
00 Ratings
Cross-browser testing
8.197 Ratings
00 Ratings
Mobile app testing
8.175 Ratings
00 Ratings
Test significance
8.4147 Ratings
00 Ratings
Visual / WYSIWYG editor
8.0133 Ratings
00 Ratings
Advanced code editor
7.9125 Ratings
00 Ratings
Page surveys
6.217 Ratings
00 Ratings
Visitor recordings
8.418 Ratings
00 Ratings
Preview mode
7.6145 Ratings
00 Ratings
Test duration calculator
7.7112 Ratings
00 Ratings
Experiment scheduler
8.2112 Ratings
00 Ratings
Experiment workflow and approval
7.890 Ratings
00 Ratings
Dynamic experiment activation
7.674 Ratings
00 Ratings
Client-side tests
7.996 Ratings
00 Ratings
Server-side tests
7.250 Ratings
00 Ratings
Mutually exclusive tests
8.180 Ratings
00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Optimizely Web Experimentation
8.2
152 Ratings
6% below category average
SiteSpect
-
Ratings
Standard visitor segmentation
8.4147 Ratings
00 Ratings
Behavioral visitor segmentation
7.7122 Ratings
00 Ratings
Traffic allocation control
9.1144 Ratings
00 Ratings
Website personalization
7.8111 Ratings
00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
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.
SiteSpect is great for businesses with available development resources and a need to provide flicker-free performance. Additionally, the month-to-month service model is attractive considering the contract and implementation prices of most of the tool's competitors. If an organization wants to run a lot of tests with a small team of marketers, I wouldn't recommend a tool as complex as SiteSpect. Effective use of the tool requires a lot of technical skill.
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.
It is able to intercept the code from your server, inject your code and then it continues on to the end-user's computer with virtually no speed interruptions.
It has several different options for performing A/B tests from regular factors to client-side factors, and origin experiments.
It is extremely flexible and configurable for the needs of your company or organization.
SiteSpect recently came out with a feature to test and optimize mobile applications. I have not used this, but it fills an important capability gap with the product I was using at the time.
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
Our clients who use our fully managed A/B and Multivariate testing services have been extremely happy with the results. Therefore the D&W and SiteSpect partnership continues to flourish. We have no hesitation in recommending the platform and we will continue to invest in our staff to train on this platform for the foreseeable future
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.
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.
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.
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 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).
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.
Just need to have your requirements ready such as, what you are expecting from the tool, is there anything specific you want regarding reporting, tracking etc.
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
I have used all the tools in the market. Sitespect kicks them into the curb based on how easy it is to build variations, and hot it doesnt interfere with client load.
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.
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.
Easily test and optimize the effectiveness of landing pages, layouts, variations of copy, different offers, photos, navigation elements, links, buttons, and more – all without having to change your existing site.