LinkedIn AdsClickHouse

LinkedIn Ads + ClickHouse

LinkedIn Ads is a comprehensive online advertising platform offered by LinkedIn, allowing businesses to create and manage targeted ad campaigns to reach their audience effectively. ClickHouse, in turn, is an open-source columnar database management system designed for high-performance online analytical processing (OLAP), providing robust data storage and large-scale analytical capabilities.

With Erathos, you can integrate data from LinkedIn Ads to ClickHouse in just a few minutes. Our platform handles the entire ELT process to your analytical environment, allowing you to blend your marketing data with other sources in your modern data stack. This ensures your engineering hours are focused on what actually drives value — extracting valuable insights and making data-driven decisions.

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Simplified extraction and ingestion

Move data in a few clicks

1

Connect your source

Authenticate your account and you're done. 100+ ready-made connectors, no code required.

2

Configure the sync

Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.

3

Choose your destination

Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.

What LinkedIn Ads data does Erathos sync to ClickHouse?

The integration automatically syncs key LinkedIn Ads objects:

  • Campaigns — status, budget, schedule, and settings
  • Ad sets — targeting, bidding, and performance
  • Creatives — copy, assets, and creative-level metrics
  • Impressions and clicks — daily reach and engagement data
  • Conversions — conversion events and value per action
  • Spend — cost per campaign, ad set, and time period

Why sync LinkedIn Ads to ClickHouse?

Inside ClickHouse, you can run high-performance OLAP queries on your LinkedIn Ads data in milliseconds, which is ideal for real-time dashboards with high concurrency and high-volume time-series datasets.

How it works

Erathos connects to LinkedIn Ads via official API and syncs your data incrementally — only new or updated records are processed on each run, keeping pipelines fast and ClickHouse storage costs predictable. You choose the sync frequency (ranging from 5 minutes to daily), the objects to sync, and the destination schema. Every run is tracked with end-to-end observability: execution time, rows processed, error logs with full context, and instant alerts via Slack or email in case of failures.

Why companies sync LinkedIn Ads data to ClickHouse with Erathos

Centralizing LinkedIn Ads data into ClickHouse has never been easier

Erathos is a data ingestion platform built for data-driven marketing teams. With our LinkedIn Ads connector, you can automatically centralize impressions, clicks, conversions, and spend per campaign in Clickhouse — complete with full pipeline observability for every execution and real-time alerts.

Why do data teams choose Erathos for LinkedIn Ads?

Data in your data warehouse in minutes

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Building data-driven stories

“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”

Bruno Rosso
Bruno RossoData Analyst, Brick Software

“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”

Matheus Nunes
Matheus NunesCTO & co-founder, WePayments

“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”

Carlos Schwabe
Carlos SchwabeCo-Founder & CDO, Brick

“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”

Thiago Paz
Thiago PazCFO, Brick

“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”

Gustavo Loforte
Gustavo LoforteTechnology Manager, CCM Group

“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”

Sayuri Valente
Sayuri ValenteProject Manager, Xperiun
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FAQ

Frequently Asked Questions

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like LinkedIn Ads to their data warehouse — with complete observability for every run, zero maintenance, and none of the opacity of traditional market tools.

Erathos syncs LinkedIn Ads Campaigns, Ad sets, Creatives, Impressions, Clicks, Conversions, and Spend to Clickhouse. Audience, targeting, and creative-level performance data are also available.

You can configure the sync frequency from every 5 minutes to daily, at the table level. Erathos uses incremental syncs—only new or updated records are processed in each run, keeping your LinkedIn Ads pipeline efficient and Clickhouse costs predictable.

Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context — not just "job failed." Smart retries handle transient errors, and every run is logged with runtime, rows processed, and error context so your team can debug in minutes, not hours.

Yes. Every Erathos connector includes a 14-day free trial. Connect LinkedIn Ads to ClickHouse and start syncing your data immediately — no credit card required.

Data ingestion with control, observability and scale