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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Google Content Experiments (discontinued)
Score7.3 out of 10
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Google Content Experiments was a tool that can be used to create A/B test from within Google Analytics. It has been discontinued since 2019, and Google now recommends using its Google Optimize service for A/B testing.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Do you already have Google Analytics? If so content experiments is a good, free, starting point to dip your toes in A/B testing. Do you need to run Multivariate experiments? If so, Google Content Experiments is not going to fit your needs.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The marketing push notifications are very effective, and it gives us free hand to define different business criteria to target user groups
The user experience or the message content could differ from Android and iOS, and this is a huge benefit for us
As an Architect, troubleshooting an issue is very detailed and the time it takes to troubleshoot an issue is considerably less from our previous product
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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 for CRM.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
