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Connect MailerLite to Azure SQL

Connect MailerLite 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 MailerLite API pipeline.

MailerLite export job

First sync scheduled

MailerLite Selected accounts

Configured job

Azure SQL Destination table

Account MailerLite · 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 MailerLite data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize MailerLite data in Azure SQL

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

Source

MailerLite Emailing data

INaccounts PMcampaigns CUcontacts BLlists

Catchr pipeline IN PM CU Extract · normalize · load

Azure SQL catchr_data.MailerLite_raw

TableScopeStatus

accountsSelectedReady

campaignsSelectedReady

contactsSelectedReady

listsSelectedReady

Data freshness

Keep your AzureSQL tables up to date

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

MailerLiteConfigured account

AzureSQLMailerLite 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 campaigns102 appended Warehouse up to date

Analysis

Unify MailerLite with the rest of your business data

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

Business data model

model / business_360

Warehouse inputs

QuickBooks accounts · Automation Step Email Click Rate Emailing

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

AzureSQL model business_360 Unified

FieldFrom

customer_idCRM

Automation Step Email Click Rateaccounts

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

MailerLite metrics and dimensions available in Azure SQL

Access 54 metrics and 137 dimensions from MailerLite connectors including Campaign Open Rate, Campaign Click Rate, Campaign Click To Open Rate, Campaign Sent, Campaign Unsubscribe Rate, Form Conversion Rate, Date, Campaign Name, Campaign Status, Campaign Type, Automation Name, Subscriber Source, Subscriber Country and many more...

Metrics availables

137

Dimensions availables

View all MailerLite Metrics metrics and dimensions

Connect MailerLite to Azure SQL in minutes

Move your data from MailerLite 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 MailerLite account

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

Connect now

Client A · Connected sources

5 sources ready

MailerLite 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 MailerLite email campaign performance in SQL.

This example summarizes delivery, opens, clicks, and engagement rates by email campaign.

30-day window

SELECT
  campaign_name,
  SUM(sent) AS sent,
  SUM(delivered) AS delivered,
  SUM(opens) AS opens,
  SUM(clicks) AS clicks,
  SAFE_DIVIDE(
    SUM(opens),
    SUM(delivered)
  ) AS open_rate,
  SAFE_DIVIDE(
    SUM(clicks),
    SUM(delivered)
  ) AS click_rate
FROM `your_project.marketing_raw.mailerlite_campaign_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY campaign_name
ORDER BY delivered DESC;

Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your MailerLite 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 schedule the job.

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

Where do I configure a MailerLite export to Azure SQL?

Connect MailerLite as a Catchr source. Add your existing Azure SQL database, create a datastream, and configure a job that writes the selected fields to the "accounts" table.

Which parts of MailerLite can be exported to Azure SQL?

Select concrete MailerLite fields such as Automation Step Email Click Rate, Automation Step Email Clicks Count, Automation Step Email Forwards Count, and Day of the month. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as accounts, campaigns, and contacts.

How does Catchr process a large MailerLite backfill into Azure SQL?

Catchr first processes the historical range configured for MailerLite. Later runs update the "accounts" table using the saved frequency and rolling import window.

How are overlapping MailerLite import windows handled in Azure SQL?

Catchr uses the selected partition field to refresh the relevant MailerLite period inside "accounts". Leaving it blank changes the job to append-only behavior.

What can I analyze with MailerLite data in Azure SQL?

With MailerLite data, an Azure SQL query can summarize delivery, opens, clicks, and engagement rates by email campaign. A Azure SQL view comparing Automation Step Email Click Rate and Automation Step Email Clicks Count can feed agency dashboards or downstream BI models.

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.

Used by the world's leading companies

Export MailerLite data to Azure SQL

Centralize MailerLite data in Azure SQL

Keep your AzureSQL tables up to date

Unify MailerLite with the rest of your business data

MailerLite metrics and dimensions available in Azure SQL

Connect MailerLite to Azure SQL in minutes

Connect your MailerLite account

Choose the AzureSQL destination

Keep your AzureSQL tables updated

Review 30-day MailerLite email campaign performance in SQL.

Connect more table to your MailerLite data

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