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What’s better than the perfect wine and cheese pairing? Support ticket data and customer success of course! Okay- maybe it’s not as good as a glass of cabernet with some aged cheddar but support ticket data in Gainsight CS is certainly a valuable pairing that can help elevate your customer success goals for several reasons: 

  1. 🤕 Insights into Customer Pain Points: Support ticket data provides valuable insights into the issues and challenges customers are facing with a product or service. By analyzing this data, customer success teams can identify recurring issues and pain points, allowing them to proactively address these concerns and improve the overall customer experience.
  2. 🤝 Opportunity for Proactive Engagement: By monitoring support ticket data, customer success teams can identify customers who may be experiencing difficulties or dissatisfaction before it escalates. This allows them to reach out proactively, offering assistance and solutions to prevent churn and build stronger relationships with customers.
  3. 💡Product Improvement: Support ticket data often contains valuable feedback on product or service features that are not working as expected or could be improved. Customer success teams can relay this feedback to the product development team, contributing to the continuous improvement of the product and ensuring that it meets the evolving needs of customers.
  4. 👩🏻‍🏫 Identifying Training Needs: Analyzing support ticket data can help identify areas where customers may be struggling due to a lack of understanding or knowledge about the product or service. This information can be used to tailor training and educational resources to address specific needs and improve customer competency.
  5. 📊 Performance Monitoring: Support ticket data provides metrics for monitoring the performance of the support team, such as response times, resolution rates, and customer satisfaction scores. By tracking these metrics over time, customer success teams can identify trends, areas for improvement, and opportunities to optimize support operations.

Overall, support ticket data is a valuable resource that can help customer success teams better understand customer needs, improve product or service offerings, and ultimately drive customer satisfaction and retention. Use this data in Gainsight CS to gather insights, take strategic action, and automate for maximum impact. 1RidL_USsQpvWKvua7oWW3HZ3frJlRssmDcD3pLdsW52t5hGYjYvXqy4mAGbtwOohmRXbUahwxPWiuQHSDfeuSDpJrkTd2ptNZuwg8qfO-7GaWTjbjBL9YbidkF8c0pao_g2X-UyP0jiM6v5wdpL-9g

Are you convinced that Customer Success teams should care about support data yet? Wonderful! But where should you start? See the Support + CS maturity model below for suggestions on crawl, walk, run use cases for using support data in Gainsight CS and stay tuned for additional Support + CS posts where we’ll dig into each of these use cases in further detail. 

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Is your organization using support ticket data in CS to drive Customer Success goals? Share some inspiration below! 👇

 

Hey @AngelaBrown, thanks for sharing!  I see in step 1, one of the bullet points is Adoption Explorer setup; is AE setup an alternate method for ingesting data, or is the suggestion here to take the case data already in the Case MDA and analyze in AE? If it’s the latter, could you share some suggested analysis in AE that would be beneficial to the CS org/CSMs that wouldn’t be completed elsewhere by Tech Support leadership?

 

Appreciate your insight as always!

 

Stuart


Hi @Stuart! Depending on the method used to ingest support ticket data into CS, AE can be used as the ETL tool to make the data palatable. If case data already exists in the MDA however, I would suggest using Report Builder to create reports that can be leveraged in custom dashboards. Next week, I plan to post an article which outlines the various types of Support Data Reports/Dashboards that are recommended for Customer Success teams- stay tuned! :) 


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