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Connect Piwik to MySQL

Connect Piwik 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 Piwik API pipeline.

Used by the world's leading companies

Export Piwik data to MySQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Piwik data in MySQL

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

Data freshness

Keep your MySQL tables up to date

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

Analysis

Unify Piwik with the rest of your business data

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

Piwik metrics and dimensions available in MySQL

Access 159 metrics and 219 dimensions from Piwik connectors including Revenue, Orders, Goal conversions, Goal conversion rate, Bounce rate, Cart abandonment rate, Downloads, Outlinks, Date, Source / medium, Campaign name, Channel, Page URL, Page title, Product category, Referrer URL and many more...

159

Metrics availables

219

Dimensions availables

Connect Piwik to MySQL in minutes

Move your data from Piwik 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 Piwik account

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

Client A · Connected sources
5 sources ready
Piwik 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 Piwik traffic and conversion performance in SQL.

This example summarizes users, sessions, conversions, and conversion rate by traffic source.

Piwik.sql
BigQuery SQL
30-day window
SELECT
  traffic_source,
  SUM(active_users) AS active_users,
  SUM(sessions) AS sessions,
  SUM(conversions) AS conversions,
  SAFE_DIVIDE(
    SUM(conversions),
    SUM(sessions)
  ) AS conversion_rate
FROM `your_project.marketing_raw.piwik_events_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY traffic_source
ORDER BY sessions DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your Piwik 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 MySQL setup, available source data, schedules, table updates, and SQL use cases.

What do I need to export Piwik data to MySQL?

Register Piwik, save the MySQL connection details, and pair both systems in a datastream. The associated job previews and writes the selected columns to "properties".

What does a Piwik table in MySQL contain?

Select concrete Piwik fields such as Cart abandonment rate, Currency conversion rate, Bounce rate, and Normalized Week of the year. You can rename the chosen columns, preview the result, and write them to MySQL tables such as properties, sessions, and users.

How do scheduled MySQL jobs keep Piwik data current?

The "properties" job can begin with a historical Piwik fetch and continue on a recurring schedule. Available history and frequency depend on the source API and your plan.

What controls row replacement in a Piwik MySQL table?

Select a valid date field when configuring the Piwik job for "properties". Catchr deletes and rewrites the scheduled window, limiting duplicate rows across overlapping runs.

How can I model Piwik performance with MySQL?

With Piwik data, a MySQL query can summarize users, sessions, conversions, and conversion rate by traffic source. Turn Cart abandonment rate and Currency conversion rate into a stable MySQL view that analysts and reporting tools can query repeatedly.

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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