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Connect Klaviyo to MySQL

Connect Klaviyo to MySQL and export selected accounts, metrics, and dimensions to your MySQL project.

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

Klaviyo export job

First sync scheduled

Klaviyo Selected accounts

Configured job

MySQL Destination table

Account Klaviyo · 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 Klaviyo data to MySQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Klaviyo data in MySQL

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

Source

Klaviyo Emailing data

INaccounts PMcampaigns CUcontacts BLlists

Catchr pipeline IN PM CU Extract · normalize · load

MySQL catchr_data.Klaviyo_raw

TableScopeStatus

accountsSelectedReady

campaignsSelectedReady

contactsSelectedReady

listsSelectedReady

Data freshness

Keep your MySQL tables up to date

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

KlaviyoConfigured account

MySQLKlaviyo 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 Klaviyo 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 · API - Active On Site Emailing

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

MySQL model business_360 Unified

FieldFrom

customer_idCRM

API - Active On Siteaccounts

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

Klaviyo metrics and dimensions available in MySQL

Access 71 metrics and 57 dimensions from Klaviyo connectors including Emails Open Rate, Emails Clicked Rate, Shopify - Placed Order Value, Submitted Form, Subscribed to List, Campaign Name, Campaign Channel, Flow Name, List Name, Date and many more...

Metrics availables

Dimensions availables

View all Klaviyo Metrics metrics and dimensions

Connect Klaviyo to MySQL in minutes

Move your data from Klaviyo to MySQL 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 Klaviyo account

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

Connect now

Client A · Connected sources

5 sources ready

Klaviyo 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 MySQL destination

Connect your existing MySQL database with its host, port, username, password, and database name. Then create the datastream that defines where the selected source data should go.

Destination / MySQL Required fields

Host Required

analytics-db.internal

Username Required

catchr_writer

Password Required

••••••••••••

Database Required

marketing_reporting

Step three

Keep your MySQL tables updated

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

Export job / MySQL Example

Database Destination

marketing_reporting

Table Per job

google_ads_campaigns

Recurring schedule Choose a cadence

Every 6 hours

Daily · 06:00

Weekly · Mon

Export readySelected fields · configured history

Every 6 hours

Review 30-day Klaviyo 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.klaviyo_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 Klaviyo 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 MySQL setup, available source data, schedules, table updates, and SQL use cases.

How do I start a scheduled Klaviyo import into MySQL?

Start with a connected Klaviyo source and an existing MySQL database. Create a datastream between them, then configure the accounts, fields, schedule, and "segments" table.

Which Klaviyo entities can become MySQL tables?

Select concrete Klaviyo fields such as API - Active On Site, API - Added To Card, API - Placed Order, and Day of the month. You can rename the chosen columns, preview the result, and write them to MySQL tables such as accounts, campaigns, and contacts.

Does Catchr support an initial fetch for Klaviyo data in MySQL?

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

Which partition setting keeps Klaviyo MySQL rows updated?

The partition field tells Catchr which Klaviyo rows in "segments" 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 Klaviyo data?

With Klaviyo data, a MySQL query can summarize delivery, opens, clicks, and engagement rates by email campaign. A query built around API - Active On Site and API - Added To Card can support trend reviews, account comparisons, and operational reporting.

Does my MySQL database need to exist before I connect it?

Yes. Connect an existing MySQL 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 MySQL 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.

Your next MySQL reporting table should not start with five exports.

Connect your accounts, choose the fields, then schedule the data your team needs in MySQL.

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100+ sources

Used by the world's leading companies

Export Klaviyo data to MySQL

Centralize Klaviyo data in MySQL

Keep your MySQL tables up to date

Unify Klaviyo with the rest of your business data

Klaviyo metrics and dimensions available in MySQL

Connect Klaviyo to MySQL in minutes

Connect your Klaviyo account

Choose the MySQL destination

Keep your MySQL tables updated

Review 30-day Klaviyo email campaign performance in SQL.

Connect more table to your Klaviyo data

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Bigcommerce

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Google Ads

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LinkedIn Ads

Microsoft Ads

Facebook Pages

Amazon Ads

Pinterest Ads

X / Twitter Ads

TikTok Ads

Google Merchant Center

Google Analytics

Instagram

TikTok

Shopify

Google My Business

Snapchat Ads

LinkedIn Pages

Spotify Ads

WooCommerce

Matomo

Klaviyo

Mailchimp

Pipedrive

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