Section Design Library

The bands real pages are built from

5,479 sections captured and categorized, from 2,090 funnels x-rayed.

Section

Showing 24 of 5479 sections

joinmassive.com — a real CTA section
joinmassive.com · CTA
superbillgen.com — a real Hero section
superbillgen.com · Hero
nutrafol.com — a real FAQ section
nutrafol.com · FAQ
knix.com — a real Reviews section
knix.com · Reviews
localhero.live — a real FAQ section
localhero.live · FAQ
ctruh.com — a real Hero section
ctruh.com · Hero
flybyjing.com — a real Reviews section
flybyjing.com · Reviews
indostra.com — a real Hero section
indostra.com · Hero
ferrix.systems — a real Pricing section
ferrix.systems · Pricing
creatify.ai — a real Logo Wall section
creatify.ai · Logo Wall
figma.com — a real Hero section
figma.com · Hero
nomadgoods.com — a real Logo Wall section
nomadgoods.com · Logo Wall
voor.ai — a real Pricing section
voor.ai · Pricing
fellowproducts.com — a real Hero section
fellowproducts.com · Hero
wephora.com — a real Hero section
wephora.com · Hero
neatmail.app — a real FAQ section
neatmail.app · FAQ
kosas.com — a real Pricing section
kosas.com · Pricing
chatporch.com — a real Hero section
chatporch.com · Hero
igly.ai — a real FAQ section
igly.ai · FAQ
everquote.com — a real Logo Wall section
everquote.com · Logo Wall
blueland.com — a real Pricing section
blueland.com · Pricing
athleticbrewing.com — a real Hero section
athleticbrewing.com · Hero
erioun.com — a real FAQ section
erioun.com · FAQ
usevelo.ai — a real FAQ section
usevelo.ai · FAQ
2090 funnels x-rayed3110 pages measured10 section types

X-ray your own funnel · free, no signup required

Method: every crawled page is segmented into full-width bands and each band classified into a section archetype by deterministic DOM signals: no LLM, no opinion. Prevalence counts each archetype once per page, across pages crawled all the way to the footer (partial crawls are held back, not guessed). "Typically sits" = the average of the section's position within the page body (0 = top, 1 = bottom). Scoped to the pages we've crawled, not "the web"; auto-updating as the corpus grows.