Based on Transformation Heroes episode 5:
Today, companies must constantly seek to optimize their customer experience (CX). One of the most under-used, yet richest sources of data is customer support tickets. These tickets contain a wealth of information that can transform the way companies perceive their customers’ needs, refine their internal processes and deliver better quality service.
Customer tickets: a gold mine for CX
Customer support tickets are the recorded interactions when a customer contacts a company with a query, complaint, or service request. They come from multiple channels: email, chat, online forms, or tools like Zendesk and Salesforce. Traditionally, their purpose was to resolve specific issues quickly, but they actually contain valuable insights about what is working, what is not, and what can be optimized.
Ticket data provide unfiltered and authentic feedback, directly from the customer. Unlike traditional surveys, which are often highly structured, tickets represent a source of raw and honest feedback, ideal for CX teams.
Analyze customer ticket with AI
Support tickets represent an invaluable source of information for understanding and improving the customer experience. They contain both structured (forms) and unstructured data (free-text emails), offering an authentic view of customer expectations and frustrations. Although unstructured data is more difficult to analyze, it is often the richest source of insights. Today, artificial intelligence (AI) and natural language processing (NLP) help to overcome these challenges and maximize the value of customer tickets.
Thanks to AI, it is now possible to:
- Analyze the feelings behind every interaction, detecting emotions and understanding customers’ overall feelings.
- Identify recurring trends by tracking complaints and pinpointing major areas of dissatisfaction, enabling proactive action.
- Process large volumes of tickets quickly by automating the analysis of thousands of customer feedbacks, enabling key themes and recurring problems to be detected in just a few minutes.
For example, one company was able to identify a frequent payment problem by analyzing tickets via AI, enabling it to react before the situation got any worse. This ability to react quickly is a key competitive advantage in an environment where customer satisfaction is paramount.
By leveraging this data, companies benefit from three major advantages:
- Deep understanding of pain points: Support tickets provide direct insight into customer frustrations, revealing issues that might go unnoticed with more traditional feedback methods. This includes bugs, missing information, or features that are difficult to use.
- Opportunities for improvement: By analyzing feedback in a structured way, it is possible to identify recurring trends and target specific areas for optimization. For example, frequent feedback on delivery delays may signal a need for logistical adjustment in a given region.
- Cost-effectiveness: Support ticket analysis is a cost-effective solution. Customer data is already available in-house, eliminating the need for costly market research. What’s more, AI streamlines this process, reducing operational costs while speeding up decision-making. This enables companies to focus on actions that generate real impact for customers.
Leverage tickets throughout the customer journey
Support tickets should not be limited to moments of crisis. A modern CX approach is to analyze these data along the entire customer journey, from onboarding to retention.
Global customer journey analysis :
- Onboarding: Identify obstacles early in the customer experience.
- Post-purchase interaction: Adapt retention strategies according to feedback.
- Loyalty: Track the evolving needs of loyal customers to personalize offers.
Tip: Encourage customers to submit feedback throughout their journey to better understand their expectations at every stage.
Turning insights into concrete actions
For customer ticket data to deliver real value, it must be transformed into targeted actions. First, it is crucial to prioritize the most critical issues by considering their frequency and impact on the business. This allows focusing on major challenges that directly affect customer satisfaction and loyalty.
Next, cross-team collaboration is essential. Insights must be shared among relevant departments, such as marketing, product, and support, to ensure coordinated and effective improvements.
The use of automation, via AI tools, helps to speed up analysis and quickly detect trends. Finally, it is essential to measure the impact of actions through performance indicators (KPIs), to adjust strategies in real-time and ensure optimal results.
Thus, prioritizing, collaborating, automating, and measuring are the keys to extracting maximum value from customer data.
Measuring the impact of tickets on business performance
For ticket analysis to have a real impact, it must translate into concrete results for the business. Here are some key areas where ticket data can bring measurable value:
- Churn reduction: Identifying common complaints allows resolving issues before customers leave.
- Cost savings: Prioritizing high-impact problems reduces operational costs.
- Revenue growth: Resolving recurring issues improves customer satisfaction and boosts sales.
Conclusion
Customer tickets are no longer just isolated complaints; they have become strategic levers for improving customer experience. By using AI and adopting a proactive approach, companies can transform these raw data into actionable insights, while increasing customer satisfaction and retention.
For CX professionals, integrating ticket analysis into a broader strategy is essential. These data offer a unique opportunity to anticipate customer needs and create standout experiences.