A website's revenue impact is measured by the number of web-generated deals and customers produced over the preceding six months, not by traffic volume, lead count, or engagement metrics. The diagnostic starts by counting closed revenue attributable to the website and working backward through the pipeline to identify where performance is strong and where it breaks down.
The evaluation sequence examines three layers. First, the close rate on qualified opportunities (target: 33% minimum, 50% preferred). Second, the SQL-to-opportunity ratio (target: 50%, acceptable range 25% to 50%). Third, the conversion and abandonment rates on key pages: the homepage, differentiation pages, solution pages, and offer pages. Each page type reveals a different performance dimension.
Lean Labs uses self-reported attribution (asking buyers "how did you hear about us?") combined with source page analysis (which page the buyer converted on) to connect website activity to closed revenue. Self-reported attribution captures the moment the buyer first considered the company, which tends to be what buyers remember and write in the attribution field. This approach avoids the complexity and inaccuracy of multi-touch attribution models that over-weight either the first or last interaction.