What specific user data can I extract from EADBOX using Kondado?

You can replicate detailed user profiles including user_id, email addresses, full names, active status indicators, professional occupations, and geographic locations. This data enables you to segment your learning audience by demographics and track individual learner progress across your training programs.

How do I connect EADBOX to Power BI or Google Sheets?

Start by adding EADBOX as a data source in your Kondado account using your platform credentials. Then select your desired pipelines, Users, Logins, or Courses, and choose your destination such as Power BI or Google Sheets to begin automated data replication.

What login activity metrics are available through the EADBOX data source?

The Logins pipeline captures session_id, precise login timestamps, and user IP addresses for every platform access event. This allows you to track daily active users, identify peak usage hours, analyze geographic access patterns, and measure overall platform engagement trends.

Can I combine EADBOX course data with user information for cross-analysis?

Yes, you can join the Courses pipeline containing course_id, title, description, paid status, and target audience data with the Users pipeline to analyze enrollment patterns by profession or location. This combination helps identify which learner segments prefer specific content types and pricing models.

How frequently can I update my EADBOX data in BigQuery or PostgreSQL?

Kondado offers configurable update schedules ranging from every 5 minutes to daily, depending on your analytics needs. You can set near-real-time updates for monitoring live training events or choose daily refreshes for historical trend analysis in BigQuery or PostgreSQL .

What course metadata is available for analyzing my EADBOX content library?

The Courses pipeline includes course_id, title, description, paid status indicators, target audience specifications, and workload estimates. This metadata supports content strategy decisions by revealing which courses are paid versus free, their intended audience segments, and estimated time commitments.

Which business intelligence tools work with EADBOX data through Kondado?

You can send EADBOX data to Power BI , Looker Studio , BigQuery , PostgreSQL , MySQL, Excel, Redshift, SQL Server, and Amazon S3. This flexibility allows you to build custom dashboards in your preferred environment.

How can I track paid course performance using EADBOX analytics?

By analyzing the paid status field in the Courses pipeline alongside user enrollment data from the Users pipeline, you can calculate conversion rates, revenue per course, and geographic distribution of paying customers. This analysis helps optimize pricing strategies and identify high-value learner segments.

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Connect EADBOX to Power BI, Looker Studio and Databases

Unlock the full potential of your online training programs by extracting detailed EADBOX data into your preferred analytics environment. Through Kondado, you can replicate comprehensive user profiles including user_id, email, name, active status, profession, and geographic location data, alongside granular login activity tracking session_id, precise timestamps, and user IP addresses for complete access monitoring. Additionally, access complete course catalogs with course_id, title, description, paid status indicators, target audience specifications, and workload details to understand your educational content performance and pricing strategy effectiveness.

Kondado’s EADBOX data source provides direct access to 3 distinct pipelines encompassing 97 total fields: Users captures demographic and contact information for your learners, Logins records every access event with temporal and geographic data, and Courses delivers metadata about your training materials including pricing and audience segmentation.

Marketing teams leverage this EADBOX data to analyze enrollment patterns segmented by profession and location, optimizing targeted campaigns for specific course offerings and customer segments. Data analysts combine login timestamps with user demographics to identify peak engagement periods, session duration trends, and geographic hotspots of learning activity across your workforce or customer base. Operations teams monitor active user status alongside course workload data to balance content delivery schedules and identify at-risk learners, while sales teams correlate paid course performance with target audience metrics to maximize revenue from your e-learning catalog and training subscriptions.

The Kondado platform takes care of refreshing EADBOX data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing EADBOX data in your report, spreadsheet, data warehouse, data lake, or database

Available EADBOX Pipelines

The following pipelines deliver granular EADBOX data that powers sophisticated learning analytics across your organization. The Users pipeline captures essential learner information including email addresses, names, professional backgrounds, and geographic locations, enabling demographic segmentation of your training audience. Logins provides session-level tracking with unique identifiers, precise access timestamps, and IP addresses to monitor platform engagement and detect usage patterns, while Courses delivers comprehensive metadata about your educational content, including pricing status, target audience definitions, and workload estimates, helping you optimize your curriculum strategy and resource allocation. By joining these datasets, you can analyze which professional segments show highest login frequency, correlate course completion rates with user locations, or identify geographic regions with strongest engagement for paid content. This cross-pipeline analysis reveals actionable insights about learner behavior and content performance. With Kondado’s automated updates running on a configurable schedule from every 5 minutes to daily intervals, your teams can monitor critical training KPIs like daily active users, course enrollment velocity, and regional adoption rates without manual data extraction.

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Available EADBOX data

available pipelines

extractable fields

Available integrations

Integration	Description
Users	Table contains information about users, including user_id, email, name, and active status, as well as data like profession and location.
Logins	Table records user logins, including session_id, login timestamp, and user IP, allowing tracking of access activity.
Courses	Table presents details of courses, such as course_id, title, description, and whether it is paid, along with information on target audience and workload.

Users

Table contains information about users, including user_id, email, name, and active status, as well as data like profession and location.

Logins

Table records user logins, including session_id, login timestamp, and user IP, allowing tracking of access activity.

Courses

Table presents details of courses, such as course_id, title, description, and whether it is paid, along with information on target audience and workload.

See all available data →

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How to visualize EADBOX data in 3 steps

Connect EADBOX to dashboards, spreadsheets, or databases — no code required.

Add EADBOX Data Source

Configure your EADBOX connection in Kondado by entering your platform credentials and authentication details to establish the initial data source.

Select Pipelines and Destination

Choose which EADBOX pipelines to replicate, Users, Logins, or Courses, and select your destination such as Power BI, Google Sheets, or BigQuery.

Analyze in Dashboards, Sheets, or Databases

Visualize your training data in Looker Studio dashboards, explore metrics in Google Sheets, or query detailed records in PostgreSQL and other database tables to uncover learning insights.

Try out all the features for free for 14 days