For SaaS products, Gainsight's product experience software enables companies to track every step of their user's journey and fully understand how they're interacting with a product over time.
$0
100 or less MAUs (Monthly Active Users)
Stratifyd
Score 8.2 out of 10
N/A
Stratifyd enables companies to capture customer sentiment for every interaction and turn it into actionable business intelligence within an executive-level dashboard. The vendor says companies worldwide use Stratifyd to improve customer experiences, increase customer acquisition and retention, build better products, and drive revenue. Stratifyd is an AI platform that predicts human intent by analyzing structured and unstructured data from…
N/A
Tableau Desktop
Score 8.4 out of 10
N/A
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$1,380
per year (purchased via a Creator license)
Pricing
Gainsight PX
Stratifyd
Tableau Desktop
Editions & Modules
Starter (Free)
$0
100 or less MAUs (Monthly Active Users)
Starter
Starting at $400/M
500+ MAUs (Monthly Active Users)
Growth
Custom
Per MAUs (Monthly Active Users) and more
No answers on this topic
Tableau Creator License
$115
per month (billed annually) per user
Offerings
Pricing Offerings
Gainsight PX
Stratifyd
Tableau Desktop
Free Trial
Yes
Yes
No
Free/Freemium Version
Yes
No
Yes
Premium Consulting/Integration Services
Yes
No
Yes
Entry-level Setup Fee
No setup fee
Optional
No setup fee
Additional Details
—
—
All pricing plans are billed annually. A Creator license includes Tableau Desktop, Tableau Prep Builder, and Tableau Pulse. Discounts sometimes available for volume.
More Pricing Information
Community Pulse
Gainsight PX
Stratifyd
Tableau Desktop
Features
Gainsight PX
Stratifyd
Tableau Desktop
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Gainsight PX
-
Ratings
Stratifyd
-
Ratings
Tableau Desktop
8.4
175 Ratings
3% above category average
Pixel Perfect reports
00 Ratings
00 Ratings
8.0145 Ratings
Customizable dashboards
00 Ratings
00 Ratings
9.1174 Ratings
Report Formatting Templates
00 Ratings
00 Ratings
8.1151 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Gainsight PX
-
Ratings
Stratifyd
-
Ratings
Tableau Desktop
8.3
172 Ratings
3% above category average
Drill-down analysis
00 Ratings
00 Ratings
8.5167 Ratings
Formatting capabilities
00 Ratings
00 Ratings
8.4170 Ratings
Integration with R or other statistical packages
00 Ratings
00 Ratings
8.0126 Ratings
Report sharing and collaboration
00 Ratings
00 Ratings
8.5165 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Gainsight PX
-
Ratings
Stratifyd
-
Ratings
Tableau Desktop
8.3
166 Ratings
1% above category average
Publish to Web
00 Ratings
00 Ratings
8.0155 Ratings
Publish to PDF
00 Ratings
00 Ratings
8.1154 Ratings
Report Versioning
00 Ratings
00 Ratings
8.4120 Ratings
Report Delivery Scheduling
00 Ratings
00 Ratings
8.5128 Ratings
Delivery to Remote Servers
00 Ratings
00 Ratings
8.878 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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.
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
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.
An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
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.
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
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.
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
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.
Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
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.
I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
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.
Tableau was acquired years ago, and has provided good value with the content created.
Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.