Monetate (formerly Kibo Personalization, powered by Monetate and Certona) is an ecommerce personalization software for consumer-facing brands. Monetate enables brands to create individualized experiences for site visitors, with the goal of improving engagement and business performance. Founded in 2008, Monetate services Adidas, Lufthansa, Office Depot, Reebok, Wolseley, and other companies.
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Optimizely Web Experimentation
Score 8.7 out of 10
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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.
Not as advanced, and possibly not as bespoke in configuration. However as a designer these had a much more user friendly interface and easier to learn/master.
Increased options to run multi-variant tests in more complex scenarios allow more autonomy for merchandisers to set more complex recommendation strategies.
At the time of selection, it was the best tool to fit our business needs. The day-to-day users were able to create some experiences on their own and did not require much oversight. We also had developer support built into our contract along with internal developer support so …
The key differentiator at the time was that Monetate provided strategic resources that the other solutions did not around roadmap planning, development, and QA.
The platform evolves as the industry evolves which means it is able to grow with your brand. Upgrades are automatic which means you won't go through hard work in order to use the latest capabilities.
Certona offered better pricing, a stronger data-based experience and algorithm-derived solution, and a better account management experience (based on customer feedback). Although the interface/portal for some of the other competitors was a little more user-friendly, we …
Monetate is more flexible than Adobe with a much better UI for testing and targeting. It is more cost effective than Certona, and gets higher average order lift than MyBuys for product recommendations.
The feature set of Monetate was more robust than Optimizely and analytics were more reliable. Pricing and feature set were pretty close to Maximizer, but the interface in Monetate was more intuitive.
N/A This is my first time using a tool like this so I cannot compare however I don't see any need to try anything else. The team is helpful, the tool works and they resolve any concerns or issues when they do come up.
We did look at some competitors and found that Monetate allowed use to build more of the actions ourselves. The builders that Monetate offer are very easy to follow and understand and you don't need to be an expert coder nor do you have to rely on the vendor to build all …
I've not used any alternatives and I don't think I would ever need to now.
Optimizely Web Experimentation
Verified User
Anonymous
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 …
I do not have any issues with AB Tasty. They are great. We went with Optimizely because they have several other products that will work together with our business model. Optimizely has grown and it now offers many other products that work with experimentation like CMS, CMP, ODP …
Optimizely is highly intuitive, allowing marketers or non-technical folks to run experiments without complicated coding. It also allows for various types of experimentation, including A/B tests, multivariate tests, and personalization. This capability will enable teams to run …
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.
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 …
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.
Optimizely Web Experimentation was more robust and able to handle the broad array of sites we run than VWO. It has been a great platform to easily add additional sites onto, but still providing a universal overview of all of them, making management a simple task.
we used Optimizely Web Experimentation then AB Tasty but came back to Optimizley because of its robust stat sig and features as well as all of the products we will be able to work in synchronization.
I think that Optimizely Web Experimentation is much easier to implement and use, but the entire Adobe Experience Cloud provides a ton of value if you have multiple products.
Honestly, Optimizely Web Experimentation has its pros and cons just like any other tool. We use Optimizely because we have resources here in the country that can help us when e have issues. The support team being local helps a lot so we don't have long wait times to get things …
Monetate is a fully functional space to generate multiple marketing campaigns for your company on the web, many of the functions found in this program are a contribution to manage your content correctly and give it the space you are looking for, we We recommend it one hundred percent. We feel very comfortable with everything we have been able to achieve thanks to this program.
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.
Audience segmentation is relatively painless. They provide a robust way to granularly target visitors by device type, location, weather, demographics, etc.
Our CSM has been very engaged and detailed in supporting our partnership. She provides very prompt responses and clearly works hard to push the Kibo team when possible.
The User Interface to develop new actions is not terrible.
Supports Single Sign On, which is the preferred method of managing users at my organization.
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.
The learning curve is a little steep, especially if you're unfamiliar with HTML/CSS. The tool is so powerful but can be overwhelming at first. The intro instructional videos/content is helpful but it doesn't cover everything. We needed to partner with an optimization company to better understand the tool and get started.
Setting up an experiment for the first time isn't simple when you're a marketer who is inexperienced with any sort of web development or even just HTML/CSS. While you can easily select the area you want to create a test with, you don't have a way to easily manipulate that section without the use of HTML/CSS.
The first optimization company Monetate recommended us to was horrible - it really was awful working with them. We had dedicated (paid for!) hours that got wasted after the company wasted our time in each meeting (when we did have one - they often needed to reschedule) and they barely knew what our company even did despite multiple meetings. Those hours, despite the awful experience, were never fulfilled, never reimbursed, never carried over to the new (and far better) company. This left a bad taste in my mouth. While I really like this product and it does everything we need, this awful experience and lack of ownership on their end was highly disappointing. We are moving forward though - and happy with our results.
The results view is dense and difficult to package easily for leadership, and when filtering by segment it's hard to read comparative outcomes without clearing or swapping filters
The organization of experiments and statuses is a cluttered list and the search is limited in use - would love to see that improve with time
There are so many other MarTech products out there, would love to see more dedicated integrations so we don't have to invest in something like Zapier or Tray to build hacky automations
I had never worked within a company that had a tool like this. It made my life as a designer and a creative manager much easier with it's easy to use interface and limitless possibilities in terms of creative. I would highly recommend taking Monetate for a test drive, you will not be disappointed.
Because it's an incredible and essential tool for my line of work as a conversion optimization specialist. Really couldn't do my job nearly as effectively without it. It's paid for itself many times over and I feel like I'm only beginning to unlock the tools potential.
Part of what I love about Monetate is how intuitive the tool is. Very very easy to use - based on the basics - Who/What/When/Where concept. Anyone can jump right in and start using the tool. And very easy to copy campaigns and tweak to continue to build experiences. We recently added Monetate on mobile and similar experience - easy to jump back and forth between platforms. Also love the analytics dashboard...easily quantifiable and easy to get tidbits that are digestible for others not as familiar with tool.
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.
Monetate support team meets with use weekly, answers emails daily and promptly. They are proactive about getting answers for us when we need it and offering suggestions based on observations they have or learnings they want to share from other partners. Monetate's support is top notch.
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).
Monetate installs easily and sets up personalization with just a few clicks. We never used the recommendation engine but the multivariant testing was great.
The implementation through the tag management system took a bit of trial and error at first, mostly due to the asynchronous nature of the TMS. We had to manipulate the implementation to assure that the Optimizely code was written to the page at the right time to allow the experiment content load in the browser without showing any of the original content first. We also needed to make some adjustments to the TMS code to get the integration with Site Catalyst timed appropriately.
At the time of selection, it was the best tool to fit our business needs. The day-to-day users were able to create some experiences on their own and did not require much oversight. We also had developer support built into our contract along with internal developer support so most experiences were achievable. We believed it was as good and in some ways better than the other comparable tools on the market.
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
It's incredibly flexible and adapts well to organizations of all sizes, whether you’re running a single site or managing multiple departments and platforms. The ability to deploy experiments seamlessly across different environments is a huge plus, especially for growing businesses. While it’s highly scalable, the last point would depend on the right team leveraging its full potential.
We've had great results with our tests! We've seen a solid ROI on most, and we've been able to identify areas we shouldn't be investing resources into.
Our teams have really pulled together to come up with ideas and test them. Putting a monetary amount on new features has helped the company understand the value of web dev, CX/UX, and marketing campaigns.