Exporting CallRail data to Amazon S3 with Adzviser gives you full ownership of your marketing data. Choose between CSV or JSON output formats and set up automated scheduled exports.
Store your CallRail data in Amazon S3 as a single source of truth for all your reporting needs
Choose your preferred output format—CSV for spreadsheet compatibility or JSON for programmatic access
Set up automated exports to keep your S3 bucket up-to-date with the latest CallRail data
Pull months of past campaign data into S3 in one go, not just from the day you connect
Adzviser provides unlimited CallRail account connections, unlimited exports, and flexible output formats. Export your data in CSV or JSON—whichever fits your workflow.
Export CallRail data in CSV for easy spreadsheet analysis or JSON for programmatic use. Choose the format that fits your workflow.
Set up scheduled exports to Amazon S3 and never worry about manual data pulls again. Your CallRail data stays current automatically.
Your data lives in your own AWS account. No vendor lock-in, no data limits—complete control over your CallRail data.
Get enterprise-quality data export pipelines at a fraction of the cost of traditional ETL tools. Get started for as low as $0.99. See pricing →
Set up your CallRail to Amazon S3 integration in minutes with Adzviser's no-code connector.
Create an Adzviser account or log in if you already have one. Start your 14-day trial for just $0.99 to create a new workspace.
Create a new workspace and select CallRail as your data source. Grant Adzviser access to securely sync your data.
Select Amazon S3 as your destination and start querying your data. View available metrics and breakdowns for CallRail →
Your CallRail data is now connected to Amazon S3! Create reports, build dashboards, and get actionable insights instantly. Browse ready-to-use CallRail AI prompts →
See how marketers are using Adzviser to export their CallRail data to Amazon S3.
Exporting CallRail data to Amazon S3 is simple with Adzviser. Sign up, start your $0.99 trial to create a workspace, select CallRail as your data source, choose Amazon S3 as your export destination, configure your S3 bucket, and set up your export schedule. No coding required. View Amazon S3 Setup Guide →
Yes! Adzviser lets you choose between CSV and JSON output formats when exporting to Amazon S3. CSV is great for spreadsheet compatibility and tools like Athena, while JSON is ideal for programmatic processing and preserving nested data structures.
With Adzviser, you can export all standard CallRail metrics including calls, duration, source, missed calls, and lead status. Choose any combination of metrics and breakdowns to include in your S3 exports. View all CallRail metrics and breakdowns →
Yes! Adzviser supports scheduled exports so your Amazon S3 bucket is always up-to-date with the latest CallRail data. Set daily, weekly, or monthly export schedules.
Adzviser offers a $0.99 14-day trial to get started. All plans include unlimited account connections, unlimited exports, and access to all destinations. After the trial, pricing is based on the number of data sources you use. View pricing details →
Yes! Adzviser supports Google BigQuery as an export destination. If you prefer Google Cloud's data warehouse for SQL-based analytics, BigQuery is a great alternative to Amazon S3. Connect CallRail to BigQuery →
Yes! Adzviser offers a library of ready-to-use AI prompts specifically designed for CallRail. These prompts cover reporting, optimization, analysis, and auditing — customize them with your account name and date range, then paste into Amazon S3. Browse CallRail AI prompts →
Yes! CallTrackingMetrics is available as a separate data source. It tracks inbound calls by source, campaign, and UTM, with talk time, call scoring, agent performance, and sale amounts—so you can run both call tracking platforms side by side in one workspace. Connect CallTrackingMetrics to Amazon S3 →