What's the most cost-effective way to track revenue by page using dashboarding software?

The most cost-effective way is usually:

1) Use your existing analytics tool as the data source

If you already have GA4, Matomo, Plausible, PostHog, Mixpanel, or similar, don’t duplicate tracking unless you must.
Track:

• Page views
• Conversions / purchases / leads
• A page URL or page path dimension

Then connect that to a dashboard tool.

2) Choose a low-cost dashboard layer

Best value options are often:

• Looker Studio — free, good if your data is in Google tools or BigQuery
• Metabase — open source / low-cost, great for SQL databases
• Apache Superset — open source, powerful, more setup
• Grafana — better for event/time-series data than revenue analytics
• Power BI — inexpensive if your team already uses Microsoft

If you want the cheapest path, Looker Studio + GA4/BigQuery or Metabase + your database is often the winner.

3) Store revenue at the event level with page attribution

To track revenue by page accurately, make sure each purchase/lead event includes:

• revenue
• page_url or landing_page
• session_id or user_id
• timestamp

Then dashboard by:

• page
• revenue sum
• conversion count
• revenue per session or per pageview

4) Avoid expensive tools unless you need them

Tools like Amplitude, Mixpanel, and Tableau can be excellent, but they can get costly fast. Use them only if you need advanced product analytics or enterprise reporting.

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Cheapest practical setup by scenario

If you’re small or just starting:

• GA4 + Looker Studio
• Add ecommerce or conversion tracking
• Attribute revenue to landing page or page path

If you have a database already:

• Postgres/MySQL + Metabase
• Send page and revenue events into your DB
• Build dashboards directly from SQL

If you need full flexibility and low ongoing cost:

• BigQuery + Looker Studio
• Stream analytics events into BigQuery
• Model revenue attribution with SQL

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Key point

The most cost-effective solution is usually not buying a fancy dashboard tool first.
It’s:

1. collecting page-level revenue data correctly
2. storing it in an inexpensive source
3. visualizing it with a free or low-cost dashboard

If you want, I can recommend the best stack based on your current setup (website platform, analytics tool, and budget).