Skip to main content
All CollectionsUnderstanding DashboardAPIs & LogsEvents
Mastering Event Tracking: Exploring Detailed Reports for AI Personality Interactions on Kamoto.AI
Mastering Event Tracking: Exploring Detailed Reports for AI Personality Interactions on Kamoto.AI

Understand the tracked events on your AI personality's webpage better with this article

Kanishka Sharma avatar
Written by Kanishka Sharma
Updated over a week ago

Dive into the heart of your AI personality's digital interactions with Kamoto.AI's Event Tracking feature. Unlock the ability to monitor and analyze various events occurring on your AI personality's webpage. This guide takes you through the process of accessing detailed reports, tracking events using Event IDs and Event Dates, and even importing event data seamlessly in CSV format.

Accessing Detailed Event Reports:

  • Log In: Begin by logging into your Kamoto.AI account using your credentials.

  • User Dashboard: Once logged in, access your user dashboard, typically found in the top-right corner of the screen.

  • Event Tracking: Look for the 'Event Tracking' or 'Reports' section within your dashboard menu. Click on it to access the event reports.

Tracking Events using Event ID and Event Date:

  • Event ID: Each event is assigned a unique Event ID. Use this ID to locate specific events and their details.

  • Event Date: You can also filter events based on specific Event Dates, allowing you to track interactions over time.

Importing Event Data from CSV:

  • CSV Format: If you prefer to analyze event data outside the platform, you can import event data in CSV format.

  • Seamless Integration: Importing event data via CSV ensures you have the flexibility to process and analyze it using external tools.

Why Detailed Event Reports Matter:

  • Insightful Analysis: Event reports offer valuable insights into how users engage with your AI personality, helping you understand preferences and trends.

  • Performance Evaluation: Track the effectiveness of various interactions, responses, and features of your AI character.

  • Data-Driven Decision Making: By analyzing event data, you can make informed decisions to enhance user experiences and tailor AI responses.

Making the Most of Event Tracking:

  • Informed Iteration: Use event data to iterate and optimize your AI personality's interactions based on real user behavior.

  • Pattern Recognition: Identify patterns in user engagement to refine your AI's responses, ensuring they align with user preferences.

  • Performance Enhancements: Leverage event data to fine-tune your AI personality, elevating its effectiveness and engagement.

Data-driven Insights at Your Fingertips:

  • Detailed Exploration: Delve into event data to understand user preferences, strengths, and areas for improvement.

  • Customizable Reports: Customize reports based on Event IDs and Event Dates to track interactions precisely.

  • Seamless Data Utilization: Import event data in CSV format for external analysis, integration, and deeper insights.

With Kamoto.AI's Event Tracking feature, you gain an invaluable window into your AI personality's digital interactions. By understanding user behavior and preferences, you're equipped to fine-tune your AI's responses, optimize its performance, and elevate user engagement. Step into the world of data-driven insights, refine your approach, and shape your AI character's journey with precision!

Did this answer your question?