Section Design Library

The bands real pages are built from

5,661 sections captured and categorized, from 2,138 funnels x-rayed.

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

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Showing 21 of 5661 sections

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

anakin.io — a real Pricing section — anakin.io · Pricing

granite.so — a real Features section — granite.so · Features

usevelo.ai — a real CTA section — usevelo.ai · CTA

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

buzzwire.io — a real Comparison section — buzzwire.io · Comparison

magicshot.ai — a real CTA section — magicshot.ai · CTA

doppio.sh — a real Comparison section — doppio.sh · Comparison

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

outrank.so — a real CTA section — outrank.so · CTA

feno.co — a real Reviews section — feno.co · Reviews

polyform.to — a real CTA section — polyform.to · CTA

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

meev.ai — a real FAQ section — meev.ai · FAQ

linkedgrow.ai — a real Features section — linkedgrow.ai · Features

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

granite.so — a real Email Capture section — granite.so · Email Capture

mailafiniti.com · Logo Wall

doppio.sh — a real Stats section — doppio.sh · Stats

responsly.ai — a real FAQ section — responsly.ai · FAQ

responsly.ai — a real Reviews section — responsly.ai · Reviews

2138 funnels x-rayed3200 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.