Section Design Library

The bands real pages are built from

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

Section

All Hero FAQ Pricing Logo Wall CTA Features Comparison Reviews Email Capture Stats

Sort

Newest Shuffle

Showing 24 of 5479 sections

startupsubmit.app — a real Features section — startupsubmit.app · Features

indiepa.ge — a real CTA section — indiepa.ge · CTA

stalkr.ai — a real Hero section — stalkr.ai · Hero

dlopo.com — a real Pricing section — dlopo.com · Pricing

echorelay.dev — a real Pricing section — echorelay.dev · Pricing

rankd.dev — a real Features section — rankd.dev · Features

ozfinancehub.com.au — a real Features section — ozfinancehub.com.au · Features

menuforma.com — a real CTA section — menuforma.com · CTA

imagetogif.com — a real Comparison section — imagetogif.com · Comparison

minimaxh3.ai — a real Pricing section — minimaxh3.ai · Pricing

riffloop.app — a real Comparison section — riffloop.app · Comparison

revamp.dev — a real FAQ section — revamp.dev · FAQ

chartscout.io — a real Hero section — chartscout.io · Hero

fitsuite.co — a real FAQ section — fitsuite.co · FAQ

aiwardrobe.co — a real CTA section — aiwardrobe.co · CTA

craqly.com · Logo Wall

truderpackaging.com — a real Hero section — truderpackaging.com · Hero

endlessriver.xyz — a real FAQ section — endlessriver.xyz · FAQ

pokeyapp.com — a real Email Capture section — pokeyapp.com · Email Capture

sociatrip.com — a real Features section — sociatrip.com · Features

koloqr.com — a real Hero section — koloqr.com · Hero

stocksbrew.online — a real CTA section — stocksbrew.online · CTA

windsurf.com — a real Pricing section — windsurf.com · Pricing

xfaste.st — a real FAQ section — xfaste.st · FAQ

2090 funnels x-rayed3110 pages measured10 section types

The pieces that live inside these sections — buttons, ratings, price anchors, guarantees, countdowns — cropped from real pages, are the Element Library. Composition of sections into pages: Page designs. Strategy across pages: Funnel designs.

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.