Dixa connector

Kaivo is a fully managed data platform that syncs your Dixa data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your customer support data instead of moving it.

What is the Dixa connector

Sync your Dixa conversations and messages into BigQuery with Kaivo to analyse support volume and response times alongside the rest of your data.

Getting started with the Dixa connector

1. Sign up for Kaivo and create a workspace.
2. Connect your Dixa account.
3. Choose which tables to sync.
4. Wait for the initial sync to finish.
5. Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Dixa

Authenticate with your API Token.

Configuring the Dixa connector

When you set up the connector, you provide:

Tables and columns synced from Dixa

Kaivo syncs 2 tables from Dixa into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

How the Dixa sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Dixa supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Dixa?

It depends on how much history is in your Dixa account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Dixa's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Dixa, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

How do I handle GDPR or data deletion requests?

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Dixa instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Dixa connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Dixa data

Support volume

Use conversation_export to track ticket volume by channel and over time.

Response times

Analyse message_export timestamps to measure first response and resolution times.

Agent workload

Break conversations down by agent and queue to balance workload.

Support and product together

Join Dixa conversations with product or order data in BigQuery to connect support to the customer journey.

Use Dixa data in your AI and BI tools

Once Dixa data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Dixa data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Dixa connector pricing and plan details.

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