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E-goi stores valuable marketing intelligence across your email campaigns, subscriber lists, and contact interactions. Through Kondado, you can extract granular information including campaign status, start and end dates, message processing volumes, list titles, total active subscribers, and individual subscriber details such as names, emails, add dates, and subscription statuses. This E-goi data flows directly into your preferred analytics environment, eliminating manual CSV exports and ensuring your marketing metrics stay current.
Kondado’s direct integration with E-goi provides 3 comprehensive pipelines containing 63 distinct fields, covering Campaigns, Lists, and Subscribers Data to support complete marketing analytics workflows.
Marketing teams leverage this connection to track email open rates, click-through trends, and list growth velocity over time, while data analysts combine E-goi information with CRM data to calculate true campaign ROI and customer lifetime value. Operations teams monitor subscriber engagement patterns, churn rates, and list hygiene metrics to optimize retention strategies and deliverability. Whether you are building executive dashboards in Power BI or performing deep-dive segmentation analysis in BigQuery, replicating your E-goi data enables comprehensive E-goi analytics and data-driven decision making across every level of your organization.
The Kondado platform takes care of refreshing E-goi data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing E-goi data in your report, spreadsheet, data warehouse, data lake, or database
The following pipelines deliver specific E-goi datasets that power actionable marketing insights and enable deep performance analysis. The Campaigns pipeline captures critical performance indicators including message processing volumes and campaign lifecycle dates, while the Lists pipeline tracks list titles and total active subscriber counts to monitor audience growth and segmentation effectiveness. The Subscribers Data pipeline provides granular contact information including subscription statuses and engagement timestamps, enabling detailed cohort analysis and churn prediction. By merging these datasets within your data warehouse, you can analyze which campaigns drive the highest quality subscribers, identify lists with the fastest growth rates, or segment contacts based on their subscription history and campaign interactions. With automated updates running on a configurable schedule from every 5 minutes to daily, you can monitor these KPIs continuously and respond to marketing trends as they develop.
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| Integration | Description |
|---|---|
| Campaigns | Includes information such as status, start and end dates, and the number of processed messages. |
| Lists | Contains data such as title, list number, and total active subscribers. |
| Subscribers Data | Presents fields such as name, email, add date, and subscription status. |
Try out all the features for free for 14 days
Connect E-goi to dashboards, spreadsheets, or databases — no code required.
Log into Kondado and add E-goi as a new data source, entering your API credentials to establish the connection. The platform will automatically detect the available Campaigns, Lists, and Subscribers Data pipelines for extraction.
Choose which E-goi pipelines to replicate and select your destination from options like Power BI, Google Sheets, BigQuery, or PostgreSQL. Configure your update schedule to keep data fresh on a timeline that suits your reporting needs.
Access your replicated E-goi data within Power BI or Looker Studio for visual dashboard creation, explore metrics in Google Sheets for flexible spreadsheet analysis, or query your data directly in BigQuery, PostgreSQL, or MySQL for advanced database analytics.
Try out all the features for free for 14 days
If the software you need is not listed, drop us a messagem. You can use almost every tool
Find answers to common questions about connecting E-goi to dashboards, spreadsheets, and databases
Try out all the features for free for 14 days