How does Kondado replicate Meetime data to PostgreSQL?

Kondado connects directly to your Meetime account and automatically extracts data from your selected pipelines on a configurable schedule. The platform loads this information into your PostgreSQL database, maintaining data structure and relationships so you can query sales metrics using standard SQL without manual exports.

What Meetime data can I send to PostgreSQL?

You can replicate three distinct pipelines: Demonstrations containing demo titles and status information, Calls with duration and type details, and Prospects featuring lead origins and lost reasons. These 123 fields cover the complete inside sales workflow from initial prospecting through completed demonstrations.

How often does Meetime data update in PostgreSQL?

You configure the update frequency based on your reporting needs, choosing intervals from every 5 minutes to daily schedules. This flexibility ensures your PostgreSQL database reflects recent sales activities without overwhelming your system with unnecessary queries during low-activity periods.

Can I combine Meetime data with other sources in PostgreSQL?

Yes, once your Meetime data resides in PostgreSQL, you can join it with information from additional data sources like marketing platforms or financial systems. This unified approach enables comprehensive analysis showing how sales activities correlate with marketing spend or revenue recognition.

What format does Meetime data take in PostgreSQL?

Kondado creates structured tables in PostgreSQL that mirror your Meetime pipeline organization, with columns representing fields like call dates, demo descriptions, and prospect statuses. The data arrives ready for SQL querying, allowing you to build custom views and perform joins across your entire data warehouse.

Can I send Meetime data to destinations other than PostgreSQL?

Absolutely, Kondado enables you to replicate the same Meetime pipelines to multiple destinations simultaneously, including BigQuery , Power BI , or Google Sheets . This flexibility lets different teams access sales data in their preferred analytics environments while maintaining a single source configuration.

Do I need technical skills to set up Meetime to PostgreSQL replication?

No coding is required to configure the connection, you simply authenticate your Meetime account and select which pipelines to replicate. The platform handles schema creation and data type mapping automatically, making PostgreSQL analytics accessible to sales operations teams without database administrator support.

Send data from Meetime to PostgreSQL

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Send Meetime Data to PostgreSQL Automatically

Kondado provides a direct integration between Meetime and PostgreSQL, allowing you to replicate your inside sales data without writing code. Simply select the pipelines you need, configure your update schedule, and start sending demonstrations, calls, and prospect information to your database. This automated process eliminates manual data exports and ensures your PostgreSQL always contains current information for analysis.

Kondado replicates Meetime data to PostgreSQL on a configurable schedule, offering three pipelines with 123 fields including demonstrations, calls, and prospects, enabling automated sales analytics without coding.

Once your Meetime data arrives in PostgreSQL, you can combine it with other business data sources to build comprehensive sales performance reports. Connect your enriched database to Power BI, Looker Studio, or Google Sheets to visualize SDR productivity metrics, track conversion rates, and monitor pipeline health through custom dashboards that update automatically.

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With the Demonstrations and Calls pipelines, you can analyze meeting completion rates and call duration patterns directly in PostgreSQL to optimize your SDR team’s daily activities. The Prospects pipeline delivers lead origin data and status updates that let you attribute revenue to specific campaigns and identify which lead sources convert best. By querying this combined dataset in PostgreSQL, you create custom reports that track prospect progression from initial contact through closed deals, giving management clear visibility into team performance without accessing the Meetime interface.

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Meetime data available for PostgreSQL

available pipelines

123

extractable fields

Available integrations

Integration	Description
Demonstrations	Table includes information about demonstrations, featuring fields such as demo title, demo description, demo link, and status.
Calls	Table presents data about calls, including fields such as call date, connected duration, call type, and status.
Prospects	Table provides details about prospects, featuring fields such as begin date, status, lead origin, and lost reason.

Demonstrations

Table includes information about demonstrations, featuring fields such as demo title, demo description, demo link, and status.

Calls

Table presents data about calls, including fields such as call date, connected duration, call type, and status.

Prospects

Table provides details about prospects, featuring fields such as begin date, status, lead origin, and lost reason.

See all available data →

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How to send Meetime data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Meetime Account

Authenticate your Meetime credentials in Kondado to establish read access to your sales data, allowing the platform to access your demonstrations, calls, and prospect information.

Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, database name, and credentials to establish where Kondado will load your Meetime data.

Select Pipelines and Schedule

Choose which of the three available pipelines to replicate and set your preferred update frequency, from near-real-time 5-minute intervals to daily batches, ensuring your database stays current according to your business needs.

Try out all the features for free for 14 days