Django monitoring / website and product analytics

Know which Django website improvements deserve your time

See which journeys reach a completed outcome and where problems appear along the way. Connect traffic, conversions and Django evidence before deciding what to investigate or improve.

Start monitoring free Explore the analytics demo

Consent-aware · No credit card · Errors and conversions together

Your portfolioProduct preview · sample data
3 websitesBy attention ↓
Errors · uptime · jobs
Traffic · conversions · search
Failed requests

Checkout errors after a release

Release v1.8.4
23failed requests
8affected users
v1.8.4release
Last 24 hours · illustrative dataSample trend

Failed requests rise after the release. Eight users are linked to the example issue.

Inspect the sample incident
Next: your coding agentExample task

“Investigate the checkout errors after v1.8.4. Inspect the traceback, propose a fix and run the relevant tests.”

You review the changes and deployment.
Illustrative order · sample dataExplore a sample project

A smaller, more useful dataset

The analytics a Django developer checks before shipping a fix

FetchNode focuses on the questions that connect product usage to production health. It is deliberately not an advertising platform or a warehouse of hundreds of reports.

Users and sessions

Count unique browser visitors and sessions, then connect an anonymous journey to an internal Django user ID after login.

Pageviews and top pages

See which routes people actually use without treating every backend or static request as a pageview.

Traffic sources

Understand referrers and campaign parameters behind a session before looking at the errors it encountered.

Key events

Track explicit product milestones such as signup_completed, checkout_started or invoice_paid.

Conversion

Calculate how many unique users reached a chosen milestone, not how many times one user repeated it.

Error impact

Move from a traffic chart to the Django issue, route or slow request that interrupted the same customer journey.

Connect traffic and conversions to Django errors

One focused dashboard with consent-aware visitor attribution, backend requests, and grouped issues.

Google Analytics answers marketing questions

Keep Google Analytics when you need its ecosystem

Google Analytics is suited to broad acquisition reporting, advertising integrations, audiences and established marketing workflows. FetchNode does not try to reproduce every GA report.

Use it alongside FetchNode when a marketing team depends on those capabilities. The numbers can differ because tools apply different consent, bot, identity, session and timezone rules.

FetchNode answers developer questions

Use one view when product health is the goal

FetchNode is useful when the next question after “conversion dropped” is “did a Django error or slow request cause it?” Traffic, key events, backend requests and grouped errors share one website project.

  • One definition for each visible metric, with dashboard tooltips.
  • Project-level environments and releases for deployment context.
  • A portfolio overview for freelancers, agencies and founders managing several Django sites.

Consent-aware by design

Your cookie banner remains the control point

Loading the FetchNode browser script does not have to mean collecting analytics. Pageviews, sessions, identity and custom product events remain off until your site grants analytics consent.

Error tracking can be handled separately according to your privacy policy and legal basis. FetchNode’s generated Django configuration also keeps headers, bodies, IP addresses, query strings and SQL text off by default.

See the Django error-tracking defaults

Example consent flow

// Analytics stays off by default.
FetchNode("init", { projectKey: "..." });

// Run after the visitor accepts analytics.
FetchNode("consent", { analytics: true });

// Track a milestone that matters to your app.
FetchNode("track", "signup_completed", {
  plan: "free"
});

On logout, call FetchNode("reset") so a shared browser is not left connected to the previous internal user ID.

Django analytics FAQ

Know what the dashboard is—and is not—measuring

What analytics can FetchNode collect for a Django website?

After analytics consent, FetchNode can collect pageviews, sessions, traffic sources, internal user IDs and explicitly tracked key events such as completed signups or paid invoices.

Does FetchNode replace Google Analytics?

Not for every use case. Google Analytics has a broader advertising and marketing-reporting ecosystem. FetchNode is a focused option for Django developers who want traffic and conversion data connected directly to application errors and backend performance.

Does FetchNode analytics run before cookie consent?

No. Browser pageviews, sessions, identity and product events remain disabled until the site explicitly grants analytics consent to the FetchNode snippet.

From evidence to action

Turn a conversion question into an investigation.

Review completed outcomes beside the technical signals on the website. Use the evidence to set a concrete task; a funnel change alone cannot explain why someone left.

  1. 01

    Start with the evidence.

    Choose a website and inspect the available signals, their time window and any missing context.

  2. 02

    Give your agent a specific task.

    Your coding agent can retrieve project-scoped context through MCP and work in your repository.

  3. 03

    Review, deploy and measure.

    Review the proposed changes and checks. After deployment, use new measurements to assess the result.

See how your coding agent can help

Measure one real Django journey

Connect one website, grant analytics consent in your test browser and verify a pageview, internal user ID and key event before rolling it out further.

Start monitoring free Monitoring several sites?