Past Tickets Search AI by Macha
🔍 AI powered search for past Zendesk tickets Support teams solve similar issues every day, but finding the right past ticket to reference is often slow and frustrating. Past Tickets Search AI by Macha solves that by helping agents quickly find relevant past tickets directly inside Zendesk. Start your free trial — no credit card required. 🫰 Getting started Get started in just a few minutes. ❤️ Why support teams love Past Tickets AI Search by Macha ⚡ Find similar tickets in seconds: Agents can quickly find similar past tickets without relying on memory, teammates, or manual searching. 🛠️ Search without leaving the ticket: The app lives inside the Zendesk sidebar, so agents stay focused on the ticket they're working on. 📈 Grows with your ticket history: Choose a plan based on how many past tickets you want available for search as your support operation grows. ✨ One job, done well: This app does one thing well: search past tickets fast. 💡 Resolve issues with confidence: Reduce time spent digging through old tickets and help agents resolve issues with confidence. ⚙️ How it works 🤝 Who it's for Past Tickets AI Search is built for support teams that: Handle recurring or similar customer issues Want a faster way to find relevant past tickets Prefer simple, focused tools over complex systems Want to help agents work more efficiently without changing existing processes 💲 Pricing Pricing is based on how many past tickets you want available for search. 🧩 Explore the complete Macha AI app suite Discover all our Zendesk apps here: Macha AI App Suite Got questions? Just write to us at
[email protected] Learn more about us at getmacha.com Book a demo or onboarding session: Book a Quick Slot 🔐 Data Security at Macha AI We prioritize data security to ensure your information remains safe. Here's how we protect it: Minimal Data Storage: We only save what's essential — AI-generated knowledge — while excluding customer details and raw ticket data. Strict Data Encryption: All stored data, including knowledge base information, is fully encrypted for maximum security. PII Redaction: Any personally identifiable information (PII) is automatically redacted before data is stored. View our Privacy Policy. Learn about our Security. Learn how we Protect and Process Data.
Top keywords
- tickets12×3.32%
- past11×3.05%
- past tickets9×2.49%
- data8×2.22%
- search8×2.22%
- ai7×1.94%
- agents5×1.39%
- macha5×1.39%
- support5×1.39%
- ticket5×1.39%
- find4×1.11%
- issues4×1.11%
Help Center Analytics
A help center enables your customers to find answers and solve problems on their own, reducing the need to contact support. However, managing a large help center with hundreds or thousands of articles can be a daunting task. Questions like “Which articles need improvement?” or “What topics are missing?” often arise. Swifteq’s Help Center Analytics provides insights into how your knowledge base is performing and indicates areas for improvement. This ensures you focus on the right updates, making it easier for customers to find the help they need without reaching out to your support team. No more guessing. No more blind spots. With our analytics tool, you’re in control of your help center's success. Features that Make Help Center Analytics stand out ✅ All the Essential Metrics with a Help Center Twist Monitor total and unique views by article, section, or category, with options to group or separate data by language. Distinguish between staff vs. customer and mobile vs. desktop traffic. ✅ Content Performance Metrics Track how well your articles perform, including views, helpful votes, and customer feedback, so you can fine-tune your content. ✅ Search Analytics Discover what your users are searching for. Identify popular search terms, track unsuccessful searches, and close knowledge gaps quickly. ✅ Trends & Reports Spot emerging trends in customer interactions and generate reports that help you stay ahead of your users' needs. ✅ Measure Self-Service Performance Evaluate how well your Help Center deflects tickets by measuring the conversion rate of article views to ticket creations. Track new tickets alongside Help Center metrics and calculate the Self-Service Score—the number of visitors per new ticket opened. ✅ Track Helpfulness Understand how helpful your content is through direct feedback from customers. Track and measure helpfulness by article, section, or category to identify areas for improvement. ✅ User Behavior Insights Understand user behavior by tracking actions taken after reading an article, including subsequent searches, additional articles visited, and tickets created. ✅ Flexible Data Filtering Utilize rich and adaptable filters to segment your data by time period, user type, device, and more, allowing for detailed analysis tailored to your needs. ✅ Direct Feedback Collection Implement customizable feedback forms on each article to gather visitor input on unhelpful content. Feedback is aggregated and displayed in the analytics dashboard for each article. ✅ Easy Integration with Zendesk Seamlessly connect Help Center Analytics with your Zendesk account in minutes. No complicated setup required! Benefits You Can’t Ignore 💡 Make Smarter Decisions Armed with actionable insights, you can confidently make changes to your help center that drive real results. 📥 Increase Self-Service Success Help your customers find the answers they need quickly, minimizing frustration and improving their experience. ⏳ Reduced Support Ticket Volume By identifying and enhancing articles that effectively deflect tickets, you can decrease the overall volume of support requests, leading to a more efficient support process. 🕵️♂️ Improved User Experience Understanding the customer journey allows you to optimize navigation and content structure, ensuring users find the information they need with ease. 🚀 Enhanced Content Effectiveness Gain clear insights into which articles are truly assisting your users, enabling you to focus on and improve the most impactful content. 📈 Boost Help Center ROI Turn your Help Center into a powerful self-service engine that reduces support tickets and scales with your business. 🎛️ Customized Data Analysis The flexible filtering system empowers you to analyze data in ways that are most relevant to your business objectives, facilitating informed decision-making. 🛠️ Easy Installation and Privacy-Focused With a simple script addition to your Help Center theme, setup is straightforward. The tool is designed with privacy in mind, ensuring all data is anonymized and encrypted, without storing any personally identifiable information. Get started in few easy steps Sign up for an account at swifteq.com/zendesk-help-center-analytics Connect Swifteq to Zendesk Support. This will allow us to read your kb articles only. Install the script in your help center theme. Go for a coffee ☕️ while some traffic is being captured. App is ready." Support and Resources: For assistance or more information, visit our support page or contact our support team directly through the app. About the Developer: Help Center Analytics App is developed by Swifteq, a qualified Zendesk technology partner. Our suite of Automation, Help Center, and Agent-Assist Zendesk apps help Support Teams work smarter while keeping the customer experience at the center of everything they do. Ready to See the Difference? Stop guessing and start knowing. With Swifteq Analytics, you’ll uncover hidden insights, make data-driven improvements, and provide a Help Center experience your customers will rave about. 👉 Try Help Center Analytics Today and take the guesswork out of managing your Zendesk Help Center! Data Privacy: Help Center Analytics collects Help Center traffic data (e.g., page views, searches, device type, timestamps, article ID) when the analytics script is enabled. All user identifiers, including email addresses, are stored only as anonymized hashes, and no raw email addresses, names, or personal data are stored on our servers. If Integrated Analytics is enabled, the app reads and stores limited non-sensitive Zendesk ticket fields (e.g., Ticket ID, User ID, anonymized email hash) to calculate metrics such as the Self Service Score. No personal data from tickets or users is stored. For more details, visit https://swifteq.com/data-zendesk-apps