New
Blue Triangle is now accessible via MCP. See how AI assistants can pull dollar-figured answers straight from your data.
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The Outcome
Give your team the evidence and the next step.

Move from a revenue priority to the pages, journeys, scripts and performance details worth investigating. Recommendations help turn those findings into work your team can review and act on.

How an investigation runs
  1. Start with the page and device carrying the revenue opportunity. That ranking comes from experience, conversion and revenue data Blue Triangle's tag collects from your own visits.
  2. Investigate its loading problems, customer journeys and third-party content, using Core Web Vitals and VitalScope, Customer Journey Analytics and Function Tracing.
  3. Use those findings to review the recommended work before your team decides what to change.
  4. After the change ships, assess what changed in Validate.
  • ✓
    Investigate page performance and customer journeys.
  • ✓
    Review third-party content and slow functions.
  • ✓
    Give product and engineering priorities backed by revenue opportunity.
Recommendation Screen

Recommendations grounded in your measurements.

Blue Triangle combines customer-specific data with performance rules shaped by years of enterprise work. AI recommendations are checked against the customer's measured data and those rules. Unsupported claims are flagged and held back. Your team reviews recommendations before acting.

An assistant can help explain a recommendation. Blue Triangle supplies the collected measurements, customer history and performance rules behind it. A prompt or screenshot does not contain that foundation.

How this differs from experience analytics and dashboards

Experience analytics helps teams investigate customer behavior, and performance dashboards show how pages loaded. Blue Triangle adds customer-specific revenue-opportunity estimates, so the investigation starts with the largest estimated revenue opportunity, and tools to assess results after changes. Both can inform where your team focuses. Blue Triangle documents integrations with experience analytics tools including Microsoft Clarity, FullStory, Quantum Metric, Contentsquare and Glassbox.

Integrations documentation

A dated example: from priority to fix

In a case study published in August 2018, U.S. Auto Parts started with the pages Blue Triangle showed carried the most revenue opportunity: the shopping cart, then the homepage. The team found extraneous third-party content on both pages and removed it, including two payment gateways. Content from Amazon, Google and ResellerRatings was still holding up the pages, so the team deferred that non-essential content so critical content like the "Buy it Now" button loaded first. It also fixed two slow back-end files. The case reports a four-second improvement in DOM Interactive and load-time improvements of 35% and 49% on those files.

The customer's engineering team did this investigation in 2018. It predates today's AI recommendations and doesn't show them, and it isn't a promise of the same result for your site. Read the August 2018 case

Expert Diagnostics

The full resolution toolkit for practitioners.

Customer Journey Analytics

Explore measured customer journeys leading to conversion or abandonment.

Core Web Vitals / VitalScope

Core Web Vitals identifies loading, responsiveness and layout problems. VitalScope helps investigate supported timing details.

Function Tracing

Pinpoint slow JavaScript down to the function call.

Conversion Rate Testing

A/B test speed changes against real revenue.

Anomaly Detection

Spot performance regressions and investigate their business impact.

Content Security Policy

Build, manage, and enforce CSPs across domains.

See how your team can move from finding friction to fixing it.

Request a demo, or start with a free Friction Quantified Analysis. For greater accuracy, qualifying sites receive at least one million page views per month.