What specific data can I extract from Sympla using Kondado?

Kondado enables you to replicate three core datasets from Sympla: Events data including event names, start and end dates, and publication status; Participants information containing last names, email addresses, and unique ticket identifiers; and Orders details featuring transaction status, approval dates, and total order values. These 64 fields cover the complete event lifecycle from announcement through ticket purchase to event completion.

How do I connect Sympla to Power BI or Looker Studio without building a Sympla API integration?

Instead of developing a custom Sympla API connection, you can use Kondado's pre-built data source to send your information directly to Power BI or Looker Studio by selecting these destinations during the pipeline configuration process. Once connected, your event, participant, and order data will refresh automatically on your chosen schedule, enabling you to build custom dashboards tracking ticket sales, attendance rates, and revenue metrics without manual data exports.

What update frequency options are available for Sympla data replication?

Kondado offers flexible scheduling options ranging from near-real-time updates every five minutes to daily refreshes, allowing you to match data freshness requirements with your specific use case. High-velocity events such as flash sales or limited ticket releases benefit from frequent updates, while recurring monthly events may only require daily synchronization to maintain accurate reporting.

Can I combine Sympla event data with participant and order information for cross-analysis?

Yes, Kondado enables you to replicate all three Sympla pipelines simultaneously, allowing you to join Events data with Participants and Orders in your data warehouse or BI tool. This cross-analysis capability lets you calculate metrics such as revenue per event, average order value by attendee type, and conversion rates from registration to purchase using standard SQL or visualization tools.

Which databases and BI tools are compatible with Sympla data from Kondado?

You can replicate Sympla data to a wide range of destinations including BigQuery , PostgreSQL , MySQL, Redshift, SQL Server, and Amazon S3 for storage and processing. For visualization and analysis, the data connects seamlessly with Power BI , Looker Studio , Google Sheets , and Excel.

How can I analyze Sympla ticket sales and revenue trends using Kondado?

By replicating the Orders pipeline to your preferred analytics destination, you can track approval dates and total order values to identify peak sales periods, measure revenue per marketing channel, and analyze discount code effectiveness. Combining this with Events data allows you to compare performance across different event types, venues, or pricing tiers to optimize your future event strategy and pricing models.

What types of event performance reports can I build with Sympla analytics data?

You can create comprehensive reports tracking event fill rates using participant counts against venue capacity, monitor cancellation trends through publication status fields, and analyze attendee demographics by joining participant contact information with order histories. These insights enable you to build automated dashboards showing ticket sales velocity, revenue forecasts, and marketing campaign ROI directly in your chosen BI platform or spreadsheet environment.

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Connect Sympla to Dashboards, Spreadsheets, and Databases

Unlock the full potential of your Sympla data by extracting detailed information from your event management account into your preferred analytics environment. Kondado enables you to access comprehensive event metadata including start and end dates, publication status, and cancellation flags alongside rich participant contact details and unique ticket identifiers. You can also pull complete order histories with approval dates, payment statuses, and total transaction values to build a complete financial picture of your event performance and attendee engagement patterns.

Kondado provides a direct connection to Sympla featuring 3 pipelines and 64 distinct fields, covering Events, Participants, and Orders data to support comprehensive event analytics.

Marketing teams can analyze campaign effectiveness by correlating participant registration dates with promotional activities and email open rates, while data analysts build sophisticated attribution models connecting order values to specific marketing channels and referral sources. Operations teams monitor event capacity utilization, track cancellation patterns, and identify high-value attendee segments to optimize future venue planning, pricing strategies, and inventory management. Whether you are organizing corporate conferences, concerts, or workshops, having your Sympla data replicated to your data warehouse enables deeper insights into attendee behavior, conversion funnels, and revenue trends that drive better event planning decisions.

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

Available Sympla Data Pipelines

The following data pipelines enable you to extract specific datasets from your Sympla account for comprehensive event analysis. The Events pipeline captures essential logistics data including event names, scheduling parameters, and publication states to help you track your event portfolio status. The Participants pipeline delivers detailed attendee information such as email addresses, surnames, and unique ticket identifiers, enabling precise guest list management and communication targeting. Meanwhile, the Orders pipeline provides critical financial metrics including transaction statuses, approval timestamps, and total order values to monitor sales performance and revenue recognition. By combining these datasets, you can analyze conversion rates from registration to purchase, identify which event types generate the highest average order values, and segment participants by ticket tier and acquisition date. Cross-referencing participant demographics with order histories reveals attendee lifetime value and repeat customer patterns. With automated updates running on a configurable schedule from every five minutes to daily intervals, you can monitor ticket sales velocity, track attendance confirmations as they occur, and measure marketing campaign impact as your events approach.

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Available Sympla data

available pipelines

extractable fields

Available integrations

Integration	Description
Events	Includes information such as event name, start and end dates, and whether it is published or canceled.
Participants	Contains data about participants, including last name, email, and unique ticket identifier.
Orders	Presents order details such as status, approval date, and total order value.

Events

Includes information such as event name, start and end dates, and whether it is published or canceled.

Participants

Contains data about participants, including last name, email, and unique ticket identifier.

Orders

Presents order details such as status, approval date, and total order value.

See all available data →

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How to visualize Sympla data in 3 steps

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

Add Sympla Data Source

Access the Kondado platform and select Sympla from our catalog of 80+ data sources to initiate the authentication process with your event management account credentials.

Select Pipelines and Destination

Choose which Events, Participants, and Orders pipelines to replicate, then configure your destination to BigQuery, PostgreSQL, Power BI, Looker Studio, Google Sheets, or other supported platforms.

Analyze in Your Tools

Build custom dashboards in Power BI or Looker Studio, explore data in Google Sheets or Excel, or query structured tables in BigQuery, PostgreSQL, MySQL, Redshift, SQL Server, and Amazon S3 to generate actionable insights about your events.

Try out all the features for free for 14 days