Home > Destinations > Azure SQL > CallRail

Connect CallRail to Azure SQL

Connect CallRail to Azure SQL and export selected accounts, metrics, and dimensions to your Azure SQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a CallRail API pipeline.

Used by the world's leading companies

Export CallRail data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize CallRail data in Azure SQL

Bring all your CallRail data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data freshness

Keep your AzureSQL tables up to date

Automatically sync new data from CallRail so every dashboard, model, and report works with fresh information.

Analysis

Unify CallRail with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

CallRail metrics and dimensions available in Azure SQL

Access 19 metrics and 145 dimensions from CallRail connectors including Calls, Leads, Good Lead Rate, Call Answer rate, Calls AVG Duration, Total Call Missed, Call UTM Campaign, Call UTM Source, Call UTM Medium, Call Campaign, Call Source, Call Landing Page URL, Lead status, Date and many more...

19

Metrics availables

145

Dimensions availables

Connect CallRail to Azure SQL in minutes

Move your data from CallRail to Azure SQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your CallRail account

Authenticate your CallRail account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Client A · Connected sources
5 sources ready
CallRail 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step two

Choose the AzureSQL destination

Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.

Destination / Azure SQL Required fields
Host Required
catchr-reporting.database.windows.net
Username Required
catchr_loader
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your AzureSQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your AzureSQL table.

Export job / Azure SQL Example
Schema Destination
dbo
Table Per job
meta_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
Export readySelected fields · configured history
Every 6 hours

Review 30-day CallRail call performance in SQL.

This example summarizes calls, answered calls, duration, and answer rate by acquisition source.

CallRail.sql
BigQuery SQL
30-day window
SELECT
  source,
  SUM(calls) AS calls,
  SUM(answered_calls) AS answered_calls,
  AVG(duration_seconds) AS average_duration,
  SAFE_DIVIDE(
    SUM(answered_calls),
    SUM(calls)
  ) AS answer_rate
FROM `your_project.marketing_raw.callrail_calls`
WHERE call_date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY source
ORDER BY calls DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your CallRail data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

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Before you schedule the job.

Answers about AzureSQL setup, available source data, schedules, table updates, and SQL use cases.

How do I start a scheduled CallRail import into Azure SQL?

Start with a connected CallRail source and an existing Azure SQL database. Create a datastream between them, then configure the accounts, fields, schedule, and "numbers" table.

Which CallRail entities can become Azure SQL tables?

Select concrete CallRail fields such as Total Call Abandoned, Calls AVG Duration, Call Answer rate, and Day of the month. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as accounts, companies, and numbers.

Does Catchr support an initial fetch for CallRail data in Azure SQL?

Set an initial fetch period for CallRail, then choose the frequency and lookback window for the job writing to "numbers". Catchr rewrites that selected period on each run.

Which partition setting keeps CallRail Azure SQL rows updated?

The partition field tells Catchr which CallRail rows in "numbers" belong to the period being refreshed. If you omit it, every run appends records rather than updating them.

What is a practical SQL use case for CallRail data?

With CallRail data, an Azure SQL query can summarize calls, answered calls, duration, and answer rate by acquisition source. A query built around Total Call Abandoned and Calls AVG Duration can support trend reviews, account comparisons, and operational reporting.

Does my Azure SQL database need to exist before I connect it?

Yes. Connect an existing Azure SQL  database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Azure SQL  database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ? 

Our teams is always here to responds to any question you could have about our data connector.