Bloomreach - The Agentic Platform for Personalization
Score 8.9 out of 10
Mid-Size Companies (51-1,000 employees)
Bloomreach is presented as an agentic platform for personalization. Powering autonomous search, conversational shopping, and autonomous marketing, Bloomreach personalizes the entire customer experience. From retail to financial services, hospitality to gaming, businesses can use Bloomreach to create experiences that drive growth and loyalty. Bloomreach states that they currently drive personalization for 1,400+…
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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.
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Pricing
Bloomreach - The Agentic Platform for Personalization
Optimizely Web Experimentation
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Bloomreach - The Agentic Platform for Personalization
Optimizely Web Experimentation
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Required
Optional
Additional Details
Bloomreach pricing is quote-based. Bloomreach pricing is customized to the number of customers served, product catalog size, and the number of events executed – such as how many emails or SMS messages are sent.
Bloomreach - The Agentic Platform for Personalization
Optimizely Web Experimentation
Likelihood to Recommend
Bloomreach
One scenario Bloomreach is particularly suited for is omnichannel abandonment campaigns. We have scenarios that look whether a customer has been into one of our stores, and then if they are subscribed, we can send them more information about the products they have viewed. That wouldn't be possible without Bloomreach. Another scenario that Bloomreach is well suited for is price drop - we can alert users that an item they've viewed has dropped in price, and this has been a really successful campaign for us.
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.
The product recommendations engine allows for us to create a personalised experience for every customer across the 3m emails we send each month. This ensure that our customers remain connected to our brand.
The customer data platform attached to Bloomreach Composable Personalization Cloud provides an all-in-one solution for our business intelligence needs. Allowing up-to-date purchasing, behaviour, and engagement reporting from our email to website activity.
The ability to integrate with Meta and other paid ad formats allows for us to create a connected omnichannel experience for users, ensuring we are providing the right message, to the right person, at the right time, in the right place.
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.
We are extremely satisfied with Bloomreach. It is a central and indispensable pillar of our personalization and data-driven marketing strategy. The platform provides us with unparalleled scalability across 27 countries and guarantees high availability and stable performance, even when working with an enormous volume of data.The fact that the platform is intuitive and allows a wide range of our teams (from CRM to UX) to work effectively with personalization significantly reduces our dependence on IT support and accelerates campaign deployment.Given the robustness of the architecture and the positive results we are generating across channels, renewing the contract is a logical step to ensure our future organic growth.
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
In my time working with Bloomreach Commerce Experience Cloud, I always liked to work with it. It is crucial that you get support from experts from the beginning to show you how to work with the vast amount of options and activities to choose from. The learning curve is also well-rounded because of its user-friendly interface and highly skilled customer support.
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.
The platform is generally reliable - major outages are rare and most day-to-day campaign operations run without interruption. Where it dips: occasional slowdowns in the analytics dashboard during peak loads, and sometimes scenario executions get delayed without clear explanation. The real-time event processing is mostly solids. Overall uptime is strong - it is not something that keeps me up at night, but it is not flawless either.
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.
Performance in Bloomreach Content is quite good but you need to be ready. Your implementation should follow all the good practices (avoid crazy patterns) and the environment setup should be the right one. With all that, Bloomreach's performance is quite solid. Our usage makes use of complex queries and most of them are really quick. Only when you need something really complex and you aggregate queries that should be separated you would get slower results (but then again, that is not a good practice for any platform).
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.
The project team consistently delivers excellent collaboration and is always available whenever assistance is needed. Their responsiveness and commitment make working together smooth and efficient. Bloomreach support, which is included for free in the platform, can also be quite useful, especially for quick clarifications. However, the quality and speed of their responses can sometimes vary, depending on the issue.
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.
Bloomreach is far superior than SFMC as that platform requires too much technical knowledge. Ometria is very good and I would say is quite similar to Bloomreach although I would say Ometria is a smaller company. Dotdigital is also very powerful but not more so than Bloomreach. This being said, Dotdigital and HubSpot does have telephone support which is amazing and something I would like to see from Bloomreach in future or at least shorter wait times for customer support live chat.
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
there is an option of multiple projects per organisation, customers and assets can be copied across. Multiple sites can be managed in one project, different activities organized under initiatives. Splitting work into sensible units is therefore well possible. The billing is based on number of tracked and number of stored events, no package-based deals. It should therefore be well scalable from a small e-store to a large corporation.
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.
