Airship vs. Optimizely Web Experimentation

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.

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

• 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.

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

• The automated A/B testing winner selection and application should be added
• The flexibility of message shape, specifically incorporating transparency so messages do not need to be a rectangular shape
• Faster and more reliable servers around the globe
• Making more detailed use cases and tutorials to be followed can simplify things for users

Incentivized

• 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

Incentivized

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.

Incentivized

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

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

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

Incentivized

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.

Incentivized

• 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

Incentivized

• we saved money by not implementing certain copy/design
• we learned that customers from different states react different to a variation
• we are slowly learning where conversion happens and where to fix the frictions
• Testing shorter vs longer journeys increased funnel conversion in some states - we avoided implementing this nationwide

Incentivized