Home > Destinations > Amazon Redshift > CallRail

Connect CallRail to Amazon Redshift

Connect CallRail to Amazon Redshift and export selected accounts, metrics, and dimensions to your Amazon Redshift project.

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

CallRail export job

First sync scheduled

CallRail Selected accounts

Configured job

Amazon Redshift Destination table

Account CallRail · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export CallRail data to Amazon Redshift

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize CallRail data in Amazon Redshift

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

Source

CallRail Analytics data

INaccounts PMcompanies CUnumbers BLcallers

Catchr pipeline IN PM CU Extract · normalize · load

AzAmazon Redshift catchr_data.CallRail_raw

TableScopeStatus

accountsSelectedReady

companiesSelectedReady

numbersSelectedReady

callersSelectedReady

Data freshness

Keep your Amazon Redshift tables up to date

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

CallRailConfigured account

Amazon RedshiftCallRail Metrics_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

accounts326 updated companies102 appended Warehouse up to date

Analysis

Keep your Amazon Redshift tables up to date

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

Business data model

model / business_360

Warehouse inputs

QuickBooks accounts · Total Call Abandoned Analytics

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

Amazon Redshift model business_360 Unified

FieldFrom

customer_idCRM

Total Call Abandonedaccounts

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

CallRail metrics and dimensions available in Amazon Redshift

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...

Metrics availables

145

Dimensions availables

View all CallRail Metrics metrics and dimensions

Connect CallRail to Amazon Redshift in minutes

Move your data from CallRail to Amazon Redshift 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.

Connect now

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 Amazon Redshift destination

Enter the Redshift host, database, and credentials that Catchr should use. The connection is checked before the destination is saved.

Destination / Amazon Redshift Required fields

Host Required

reporting-cluster.abc123.eu-west-1.redshift.amazonaws.com

Username Required

catchr_loader

Password Required

••••••••••••

Database Required

marketing_warehouse

Step three

Keep your Amazon Redshift tables updated

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

Export job / Amazon Redshift Example

Schema Destination

marketing_raw

Table Per job

facebook_ads_daily

Recurring schedule Choose a cadence

Every 6 hours

Daily · 06:00

Weekly · Mon

First sync scheduledSelected fields · configured history

06:00 UTC

Review 30-day CallRail call performance in SQL.

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

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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Finance

Before you connect your first source.

Plain answers for marketers evaluating MCP and Catchr.

What does MCP stand for

MCP stands for Model Context Protocol. It is an open standard that lets AI applications connect to external data sources and tools through a common interface.

What is an MCP server?

An MCP server makes selected data or capabilities available to an MCP-compatible application. Catchr MCP acts as the bridge between your AI assistant and the marketing platforms connected to Catchr.

How is MCP different from an API?

An API exposes ways for software to exchange data or perform actions. MCP provides a standard designed for AI applications to discover and use those capabilities. Catchr handles the source APIs and exposes useful marketing-data capabilities through MCP.

Do I need to code to use Catchr MCP?

No. Connect your sources in Catchr, add the remote MCP server URL to a supported AI assistant, and complete authorization through the interface.

Does Catchr MCP work with ChatGPT and Claude?

Yes. Catchr provides dedicated setup guides for both. Custom MCP support can depend on your AI plan, your region, and your workspace administrator settings, so check the relevant guide before setup.

What can I ask about my marketing data?

You can request performance summaries, period comparisons, campaign and account breakdowns, anomaly investigations, and client-ready recaps. Precise prompts should include the account, date range, metrics, comparison, and desired output format.

Which data sources are available?

Catchr supports more than 100 platforms across advertising, analytics, CRM, ecommerce, email, SEO, and social. Explore the connector directory to confirm a specific source.

Still have a question ?

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

Used by the world's leading companies

Export CallRail data to Amazon Redshift

Centralize CallRail data in Amazon Redshift

Keep your Amazon Redshift tables up to date

Keep your Amazon Redshift tables up to date

CallRail metrics and dimensions available in Amazon Redshift

Connect CallRail to Amazon Redshift in minutes

Connect your CallRail account

Choose the Amazon Redshift destination

Keep your Amazon Redshift tables updated

Review 30-day CallRail call performance in SQL.

Connect more table to your CallRail data

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