The Airship Experience Platform provides an end-to-end solution for unifying experiences across channels and capturing value across the entire customer lifecycle.
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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.
We've tested a bunch of different CRM tools over the years and Airship has been a winner for its functionality, features, cost, and ability to integrate with other softwares that we use. It has been great for SMS and mobile in particular. It could certainly be a one stop shop …
The above mentioned products were evaluated for initial RFQ process however Airship was awarded for the robustness and ease of use, and its strategy aligns with Vodafone's App usage engagement
Airship is superb in customer support against all others. Even though I feel CleverTap may be a better choice but probably will not be as easy as Airship when setting them up and operating it. As for MoEngage, the last experience I had was simply not good enough, but that was …
I have also worked with Vibes, Salesforce, Pendo, and Swrve for mobile app marketing efforts, and I always come back to airship as delivering the best Push and In-App messaging capabilities. If you want a full service platform for Push and In-App messaging rather than …
There was a time when we went off Urban Airship and went to Spreed. We were using Spreed's app, so there was much better integration on push notifications. The push notification took readers directly into the story. When we moved from Spreed to our own native app, we went back …
Optmizely is much more performant product. We have witnessed less issues with page performance on Optimizely and have no issues with flickering. We had these issues with Maxymiser.
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 …
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.
Well-Suited for: 1. Mobile App Notifications: Ideal for targeted push notifications in apps. 2. Customer Segmentation: Effective for personalized marketing campaigns based on user data. 3. Event-Triggered Automation: Great for automated messaging based on user actions. 4. A/B Testing: Useful for optimizing campaign messages and strategies. Less Appropriate for: 1. Non-Mobile Channels: Less effective if the primary focus is on non-mobile communications like email or direct mail. 2. Basic Email Marketing: Other platforms might be better suited for simple, broad email campaigns without complex segmentation or personalization needs.
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.
Setting up the target audience within Airship using attributes is one of my favorites.
Airship has a very user-friendly interface with detailed documentation for self-help. I also enjoy the training sessions, articles and reports Airship organized as those are very insightful and useful.
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 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
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.
The interface takes a bit getting used to in order to know how to take advantage of everything. Some of the analytics that are available are particularly hard to find, so it's important to pay attention when customer support reviews everything, but everything I'd want and need in terms of Push and In-App messaging is all there.
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.
I have not had to interact much with customer support as I have been able to find the vast majority of the answers I'm looking for within their documentation, which I very much appreciate because it saves me a lot of time. Customer support has been responsive and helpful for the most part during the couple of interactions I've had.
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).
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.
I have also worked with Vibes, Salesforce, Pendo, and Swrve for mobile app marketing efforts, and I always come back to airship as delivering the best Push and In-App messaging capabilities. If you want a full service platform for Push and In-App messaging rather than configuring these channels through something that is no cost such as Firebase, then i would recommend Airship.
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.
The ROI has increased more than approx. 50% (exact details to be confirmed) based on cross-channel orchestration
Using push notifications alone, we have seen a huge increase in app engagement which was a challenge before to nudge users to get back to the App after initial download
