No-code pipeline · E-goi → Amazon S3

Send data from E-goi to Amazon S3

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From E-goi to Amazon S3: managed, scheduled, no code.

Kondado connects to E-goi and replicates data from three available pipelines, Campaigns, Lists, and Subscribers Data, to Amazon S3 on a configurable schedule ranging from every 5 minutes to daily, enabling automated data warehousing and analytics workflows.

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Send E-goi Data to Amazon S3 Automatically

Kondado provides a direct integration between your E-goi marketing automation platform and Amazon S3, allowing you to replicate campaign performance metrics, subscriber lists, and contact information on a configurable schedule. Simply select the E-goi data source, choose your destination, and define which pipelines you want to replicate. The platform handles the data extraction and loading automatically, delivering structured files to your S3 bucket without requiring manual exports or coding.

Once your E-goi data lands in Amazon S3, you can query it directly with Amazon Athena, Presto, or Dremio for advanced analytics, or feed it into business intelligence tools like Power BI and Looker Studio for comprehensive marketing reports. This setup enables you to combine email marketing metrics with other business data sources stored in your data lake, creating unified dashboards that track subscriber engagement alongside sales performance and customer behavior across channels.

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With the Campaigns pipeline, you can analyze email performance trends over time by storing historical campaign data, including delivery rates and engagement metrics, directly in your Amazon S3 data lake. The Lists and Subscribers Data pipelines provide granular contact information and subscription statuses that enable precise audience segmentation when combined with transaction data from other sources. By having this E-goi information available in S3, you can build custom SQL queries to identify high-value subscriber segments, track list growth patterns, and measure campaign ROI using your preferred analytics stack without API rate limits.

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Replicated to Amazon S3

E-goi data available for Amazon S3

Tables Kondado writes into your Amazon S3, on a schedule you control.

available pipelines

extractable fields

Amazon S3

Destination

Available integrations

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.

See all available data → Send E-goi to Amazon S3 →

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How to send E-goi data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Your E-goi Account

Log into Kondado and select E-goi from the data source catalog, then enter your API credentials to establish the connection. The platform will automatically detect your available pipelines including Campaigns, Lists, and Subscribers Data.

Configure Amazon S3 Destination

Specify your S3 bucket name and folder path where you want the E-goi files stored, ensuring proper permissions for data delivery. You can organize data by pipeline type or date to maintain a clean data lake structure compatible with Athena and Presto queries.

Select Pipelines and Schedule

Choose which E-goi pipelines to replicate, such as Campaigns for performance tracking or Subscribers Data for contact management, then set your update frequency. Configure the schedule to run every 5 minutes for near-real-time analytics or daily for cost-effective batch processing.

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Send data from E-goi to other destinations

E-goi > Looker Studio

E-goi > Power BI

Other visualizations

E-goi > Amazon S3

E-goi > BigQuery

E-goi > Excel

E-goi > Google Sheets

E-goi > MySQL

E-goi > PostgreSQL

E-goi > Redshift

E-goi > SQL Server

Choose a tool to visualize your E-goi data

If the software you need is not listed, drop us a messagem. You can use almost every tool

E-goi > Airtable

E-goi > Alteryx

E-goi > Amazon Quicksight

E-goi > BIMachine

E-goi > Cortex

E-goi > Data Studio

E-goi > Geckoboard

E-goi > Grafana

E-goi > IBM Cognos Analytics

E-goi > Klipfolio

E-goi > Looker Studio

E-goi > Looker

E-goi > Looqbox

E-goi > Metabase

E-goi > Microstrategy

E-goi > Pentaho

E-goi > Power BI

E-goi > Qlik Cloud Analytics

E-goi > Qlik Sense

E-goi > Qlik

E-goi > QlikView

E-goi > Redash

E-goi > Superset

E-goi > Tableau

E-goi > BI TOTVS

E-goi > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending E-goi data to Amazon S3 automatically

How do I connect E-goi to Amazon S3 without writing code? ▼

Kondado provides a no-code interface where you select E-goi as your data source and Amazon S3 as your destination. You authenticate your accounts through the platform, choose which pipelines to replicate, and set your preferred schedule, all without requiring technical development resources.

Which E-goi marketing metrics can I store in Amazon S3? ▼

You can replicate Campaigns data to track email performance over time, Lists information to monitor audience growth, and Subscribers Data to maintain detailed contact records. These pipelines include fields such as delivery status, subscription dates, and engagement metrics that support comprehensive marketing analytics.

What schedule options are available for E-goi data replication? ▼

You can configure automated updates to run every 5 minutes, 15 minutes, hourly, or daily based on your reporting needs. This flexibility allows you to balance data freshness with processing costs, ensuring your Amazon S3 bucket contains timely information for Power BI or Looker Studio dashboards.

Can I combine E-goi email data with other sources in my S3 data lake? ▼

Yes, you can replicate data from multiple platforms into the same Amazon S3 environment, such as combining E-goi subscriber information with sales data from your CRM. This unified approach enables cross-channel analysis where you correlate campaign engagement with customer purchase behavior.

What file formats does Kondado use when saving E-goi data to S3? ▼

Data is delivered in analytics-optimized formats like Parquet or CSV, which work efficiently with Amazon Athena, Presto, and Dremio. These structured files can also be queried through BigQuery external tables or loaded into PostgreSQL for further analysis.

Is it possible to send E-goi data to multiple destinations besides Amazon S3? ▼

Yes, you can create additional pipelines to send your E-goi data to Google Sheets for quick sharing, BigQuery for data warehousing, or Power BI for immediate visualization, all while maintaining your Amazon S3 archive.

How do I ensure my E-goi subscriber data stays current in Amazon S3? ▼

Set up automated replication on your preferred schedule, whether near-real-time updates every 5 minutes for operational dashboards or daily batches for historical analysis. The system tracks changes and refreshes your S3 files accordingly, keeping your data lake updated with your latest E-goi activity.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days