Gainsight PX vs. Stratifyd

It’s a robust tool that allows you to easily map and track key features and actions within your products. It also allows for in app communications to help guide the user through the path you want them to follow. The ability to connect with Gainsight CS also allows you to leverage that data to drive actions for the account team, incorporate it in health scoring, and use it to trigger digital programs. You do need a well thought out strategy for management of the platform, the data and how you will use it.

Organizing the data sets is easy and logical. Slicing and dicing of data functionality can be easily performed and is intuitive. Possibility to perform multiple analysis with a single dataset. Data can be easily adjusted even for a non-technical person. Easy navigation. Adjusting of datasets is very intuitive and quickly.

Incentivized

• Gainsight PX provides powerful segmentation capabilities to help marketers target the right customers with the right message. Through its segmentation capabilities, Gainsight PX enables marketers to create custom segments based on user behavior, demographics, and other criteria to ensure that the right message is delivered to the right customer.
• Gainsight PX offers robust analytics capabilities to help marketers gain insights into customer behavior and engagement. Through its analytics capabilities, Gainsight PX enables marketers to track user engagement, identify customer trends, and gain insights into customer behavior.
• Gainsight PX provides an intuitive user interface to help marketers quickly and easily create and manage campaigns. Through its user interface, Gainsight PX enables marketers to create and manage campaigns with ease, allowing them to quickly launch campaigns and track their progress.

Incentivized

• Topic generation
• Customizing process flows
• Slice & dice data

Incentivized

• Dashboards. There is no way to provide notes to others which would be very beneficial in consuming data across a team. Lacking functionality - no resizing, no organization options, run into bugs when using it frequently, overall hard to design a layout that is easy to follow.
• No way to identify what features/elements are being used but aren't tagged. This would be a huge value add.
• Retention Analyzer. Default view doesnt allow for filtering and includes test data. In our case this doesnt allow for a true comparison between two segments.
• Segments. You can't use segments in areas you should be able to. I shouldnt have to recreate a segment as a saved filter.

Incentivized

• User interface
• Text analytics
• Segmentation setup

Incentivized

I like the product, find it pretty easy to use. As we move forward, looking forward to using more of the functionality.

Incentivized

It is a good product, but like with every product, there is room for improvement or even just things I, as a user, would prefer, such as the ability to click on a company and have it go to Salesforce instead of Insight. It can also be difficult to find certain reports.

Incentivized

I have not had to contact support frequently but when I have I used the chat and my questions were answered immediately. I've also used their knowledge center, help documentation and training videos which are all very thorough. The support we've received from our Customer Success Manager has been helpful as well.

Incentivized

Heap has a great value proposition and very nice user experience. But it lacks the clear funnel analysis that Gainsight PX provides. Plus Heap also does not have integration with a lot of CRMs and Customer data platforms. Also, Additionally if you go in the market to find Heap implementors or SI vendors, you won't find any.

Incentivized

• Allow us to integrate actual product usage with Salesforce.
• Too much developer time went into it, especially when the premise was that this was mostly going to be handled by the Product team. This was mostly because the Gainsight PX event editor doesn't support more complex querying on events.

Incentivized

• Multiple analysis
• Slice & dice of data
• Customizing data models

Incentivized