# Track.co + BigQuery

> Bring customer health data, NPS, and Track.co usage into BigQuery with Erathos. Analyze retention and churn with reliable pipelines and full observability.

Source: https://www.erathos.com/en/pipelines/track-co-bigquery
Em português: https://www.erathos.com/pipelines/track-co-bigquery

Track.co is a customer experience management platform that helps companies measure and improve customer satisfaction, providing detailed insights to enhance support and drive customer loyalty. BigQuery, in turn, is a Google-developed serverless Big Data solution that offers robust capabilities for large-scale data storage and analytics.

With Erathos, you can integrate Track.co data into BigQuery in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it easy to combine that data with other sources in your Data Warehouse. That way, your time goes toward what truly creates value — extracting actionable insights and making more data-driven decisions.

### Which Track.co data does Erathos sync to BigQuery?

The integration automatically syncs Track.co’s main objects:

- **Customer health (Health Score)** — current score and historical trend changes
- **NPS** — responses, detractors, passives, and promoters
- **Product usage** — features used, frequency, and engagement
- **Churn risk** — alerts, signals, and actions taken
- **Segments** — customer classification and segmentation criteria
- **Interactions** — meetings, QBRs, and CS contact history

### Why sync Track.co with BigQuery?

Track.co centralizes the view of customer health, but in isolation. In BigQuery, you can combine health score, NPS, and product usage with financial and support data — identifying churn signals weeks in advance, calculating the real financial impact of retention, and building predictive models with all available data.

### How it works

Erathos connects to Track.co through its official API and syncs data incrementally — only new or updated records are processed on each run, keeping pipelines fast and BigQuery costs predictable. You choose the sync frequency (from every 5 minutes to daily), which objects to sync, and the destination dataset. Each run is fully observable and logged: runtime, processed rows, contextual error details, and instant alerts via Slack or email if anything goes wrong.

## Data in your data warehouse in minutes

### Track.co connector ready to use

Connect Track.co to BigQuery and automatically sync customer health, NPS, product usage, and churn. Data-driven Customer Success powered by reliable, observable pipelines.

### Total control over your pipelines with Track.co

Configure schedule, frequency, and sync type at the table level. Incremental synchronization processes only new or modified records—keeping BigQuery costs low and your analyses always up to date.

### End-to-end observability

Stop finding out about Track.co failures only after the business team complains. Every run is logged with runtime, processed rows, and error context. Automated alerts via Slack, Discord, or email as soon as anything deviates from expected behavior — so health scores and retention data stay trustworthy.

## Centralizing Track.co data in BigQuery has never been easier.

Erathos is a data ingestion platform for Customer Success and data teams. With the Track.co connector, you automatically sync customer health, NPS, product usage, and churn data to BigQuery — with full observability into every pipeline run and intelligent alerts.

## FAQ

### What is Erathos and how can it help my company?

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

### What Track.co data does Erathos synchronize to BigQuery?

Erathos syncs customer health data, NPS, product usage, segments, churn risk, and Track.co interactions to BigQuery. Scores and engagement metrics are also exported automatically.

### How often does Erathos synchronize data from Track.co to BigQuery?

You can configure the sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping the Track.co pipeline efficient and BigQuery costs predictable.

### What happens if a Track.co sync fails?

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 execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.

### Is there a free trial period for the Track.co connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Track.co to BigQuery and start syncing immediately—no credit card required.