Airship vs. Google Content Experiments (discontinued)

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

Google Content Experiments is suited for large and small organizations, no matter your organizational goals. It is not recommended for organizations that are only interested in qualitative data, as there are other tools for receiving specific user experience feedback. It is also not recommended that you implement tests without some sort of goal in mind.

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

• When you need to measure against event-based goals
• If you need to see how the test variations performed against secondary goals
• Given that the the platform requires you actually code a new page with a unique URL, this tool can be good for radical redesigns.
• Great insights into other information about your testing groups, like whether or not they're mobile, screen size, browser, or really any dimension available in GA.

• 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

• You can only optimise for one goal, so if you have several conversions, like phone call and email you need to do it manually.
• It seems not to work that well for pages with lower amounts of traffic - not great for new or niche sites.

Incentivized

Content Experiments just makes it is simple and easy to implement A|B tests. We will be evaluating other tools in search of a more robust system for multivariate and cross-page testing, such as Optimizely or Visual Website Optimizer. However, for basic testing, you can't really beat it.

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.

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.

Using the free tool, overall "live support" is limited. However, there are plenty of online resources to get started. If you need handheld support, it is best to upgrade the service or hire a developer through one of Google's partner agencies. There could be more support for understanding what makes a test useful or not.

Incentivized

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.

Google Website Optimizer was a better product but has been discontinued. We have also used Test and Target , which has more features but we have been doing fine with Google Content Experiments. Most testing situations can be handled with Google Content Experiments.

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

• Doing good experiments/Optimize has helped to take out the guesswork of the things we want to implement.
• We have done fairly complex changes such as changing navigation and managed to see improvements outcomes immediately before we have to request developer.
• Our teams have become more data centric in how they approach changes.

Incentivized