Fix DataSag analytics not working on Flask with Jinja

Start with the Flask with Jinja installation

Put the deferred external script once in the shared Jinja base template under your application templates directory. Preserve existing blocks, imports and asset links. Confirm that render_template calls for your public routes select children of that base. The tracker remains an external browser script rather than Python application code.

Blueprint-specific template directories and independent render_template_string responses can bypass the base template. A child head block can replace inherited content unless it retains it. Inspect the generated response from the affected endpoint.

Use the public project key from the DataSag project you are inspecting. A test on a preview domain does not confirm that the production domain has the same code or settings.

Fix DataSag analytics not working in Flask with Jinja

1. Identify the affected endpoint and the exact template it renders. Blueprint template lookup, a separate base, or render_template_string can produce a document that bypasses the file where you installed the script.
2. Inspect the published response for the external script and project key. If Jinja escaped a dynamically constructed snippet into text, fix the trusted template markup rather than broadly disabling autoescaping.
3. If the script runs, inspect its request and response. For missing named events, find the browser action callback. A Python route, signal or background job cannot invoke the visitor window; it must expose a result that browser code can handle.

The repair targets endpoint template selection, actual script markup, or browser delivery without weakening Jinja escaping.

Complete the collection checks

1. Confirm the change reached the public domain. Inspect the live HTML and clear only caches that serve the old document. A saved editor change may still need publishing.
2. Check that tracker.js exists in the Network panel and that the script contains the public key from the same DataSag project you are viewing.
3. Check whether your test browser is excluded with datasag_ignore. Restore inclusion with ?datasag_ignore=false only if this browser should count. Respect any consent controls configured on your site.
4. Inspect the browser Console for Content Security Policy or script errors. Check /api/track request responses: 400 indicates invalid input, 404 can indicate an unknown project key, and a server failure needs investigation rather than repeated snippet changes.
5. Try a controlled browser profile to identify an extension block. Do not bypass a visitor's privacy preferences. Then check the project's selected date range, path and domain.
6. Collect the affected public URL, approximate time, request status and installation location for support. Omit account credentials and visitor data from screenshots.

typeof window.datasag?.track
// If undefined, first investigate whether the script executed.

new URL(location.href).searchParams.get('datasag_ignore')
// Also check for a previously saved browser exclusion.

What a successful check looks like

The first failed boundary is identified and corrected, and a new controlled visit reaches the right project. The browser Console and Network panel provide the evidence.

Record the public path you tested, the browser state, the approximate time and the observed request. Check one direct page load and one later navigation so the result covers more than the homepage.

Common mistake

Do not replace the public project key with a Supabase, Stripe or provider secret. The browser snippet uses only the project's public tracking key.

Installation snippet for Flask with Jinja

The shared installation belongs in the head of the Jinja base template used by your routes. Use this as the installation reference while checking the procedure above.

<script defer src="https://www.datasag.com/tracker.js" data-datasag-key="YOUR_PUBLIC_KEY"></script>

Related Flask with Jinja guides

• Verify DataSag analytics
• Fix duplicate analytics pageviews
• Track custom events
• Track UTM campaigns
• Measure AI referral traffic
• Configure CSP for DataSag analytics
• Exclude your own analytics visits
• Load analytics without blocking rendering

Full Flask with Jinja setup guide · Search and AI visibility

References

Official Flask with Jinja documentation covers the integration point. For DataSag data handling, read the privacy policy. Use support if a request fails after these checks.