Worried about dropouts at various stages of product journey - help is here!!
September 29, 2022

Worried about dropouts at various stages of product journey - help is here!!

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Gainsight PX

Gainsight PX has provided great funnel analysis and almost a real time understanding of where our users are dropping in the funnel stage. If we found that users are dropping at payments stage, then we enabled the sales reps do one on one reach outs and offer heavy first time discounts for product adoption.
We use Gainsight PX as an integrated platform with Salesforce to understand where are our customers in our journey. It helps us score customer opportunities and understand the health of our customers in the CRM pipeline. It provides very intuitive analytics on top of Sales Force which generates more revenue with same pipeline. It helps us focus on high-priority leads.
  • Lead Health Scoring
  • Provide Analytics on Customers
  • Provide actionable reminders for sales reps
  • Integration with a lot of CRMs is very complex
  • Integration involves IT companies and is not straightforward
  • Gainsight PX does not have AI capabilities for lead scoring
  • Higher satisfaction in customer success teams
  • Higher ROI
  • Better Customer insights and trends capture
Support is available on call as well as by email but this is not a differentiating factor. Most product companies have a similar level of support.
  • Heap
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.

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Gainsight PX is suitable for mid-sized companies with 1000 to 10000 employees. If your product does not sell by itself and you have huge sales and customer success teams who are always hunting for leads and solving customer issues, it could be useful. For products that have a pull demand from market, it may not be useful.