Bonusly does not include a native “connect to Snowflake / Power BI / Tableau” button. If you want data to land in a BI tool or warehouse on a recurring basis, the approach we recommend is: subscribe to Bonusly’s scheduled report emails (which include your data as a CSV), then use your own automation. For example, use Zapier to watch the inbox and push files into Power BI, or use inbox rules, Power Automate, or scripts that save attachments to cloud storage for your ETL. Many teams also use a simple manual workflow: subscribe, download the file from email, and import it into their BI tool.
You can supplement that with in-product analytics, on-demand CSV exports for custom integrations. This article walks through those options.
Path 1: Use Bonusly’s analytics and reports (often the fastest)
Depending on your plan, Bonusly includes dashboards and report types that cover participation, points, incentives, and more without leaving the product. The Organization plan includes Advanced Analytics and Insights and Expanded Reporting (for example Participation Summary, Total Points Given, Total Points Earned, and Incentives Summary), with options to subscribe to reports by email. See Understanding Bonusly Plans for the full comparison.
Use this path when stakeholders only need Bonusly-specific views and you want to avoid maintaining a separate pipeline.
Path 2 (recommended for recurring BI loads): Subscriptions + your automation
For automated imports into Power BI, Tableau, a lakehouse, or similar, without building a full custom API client, start here.
Subscribe to the reports you need. For example, admins can subscribe to the Recognition Activity Report on a monthly or quarterly schedule from Reports > Subscriptions. Other report types may offer subscriptions depending on your plan. Reports are sent on a fixed schedule (for Recognition Activity, see timing in Recognition Activity Report).
Each delivery includes the data as a CSV you can feed into downstream tools.
Automate on your side. Common patterns customers use:
Zapier (or similar): trigger on new email, extract the CSV attachment or link, and send it to Power BI, Google Sheets, cloud storage, or another connector your stack supports.
Microsoft Power Automate, Google Apps Script, or email rules that file attachments into SharePoint, Google Drive, or S3 for your ETL to pick up.
IT-owned scripts that read a dedicated mailbox and load files into a database or warehouse.
Bonusly does not prescribe a single vendor; choose tooling that meets your security and retention policies.
Simpler alternative: subscribe to the emails and manually download each CSV and import it into your BI tool. That works well for smaller teams or monthly reviews.
Path 3: On-demand CSV export
Admins can run the Recognition Activity Report (and other reports where your role and plan allow), apply filters and date ranges, and click Export to CSV anytime, without waiting for the next subscription run.
For columns, filters, and subscription options, see Recognition Activity Report.
Tip: When opening CSVs in Excel or Google Sheets, some leading characters may be neutralized to reduce formula-injection risk; see that article for details.
Other CSV-style reporting
Depending on role and plan, your account may include additional exports (for example manager team activity or incentives summaries). Use the same pattern: run the report in Bonusly, export, then import or schedule as above.
Path 4: Atom feed and Zapier elsewhere
The in-app API overview includes an Atom feed example for bonuses, which is useful for lightweight consumption, not a full warehouse load.
The Team plan also lists Zapier for connecting Bonusly to other tools. Besides the email-to-BI pattern in Path 2, you can use Zapier for other automations between Bonusly and your stack. See what fits your plan and Zapier’s current Bonusly integrations.
Loading data into BI and warehouses (summary)
Approach | When it fits |
Subscribed reports + automation | Recurring Power BI / Tableau / warehouse loads without a native connector; use Zapier, Power Automate, or scripts on the CSV emails. |
Manual subscribe + import | Lower volume; comfortable opening the email and importing each period. |
On-demand export | Ad-hoc analysis or a one-time extract. |
Blend in BI | Import CSV into Power BI / Tableau / Looker Studio; move to a database or warehouse when governance and refresh volume require it. |
When joining Bonusly data to HRIS or payroll, align on a stable key (often email or employee ID) only if your governance allows. Never assume identifiers match without validation.