Seven new tools shipped today. They sit in a category the existing 300+ audits mostly skipped: converting ranked traffic into revenue. All free, browser-based, same Fix / Audit / Learn pill pattern as the rest of the suite.
The existing jwatte.com tool library has overwhelming SEO + technical depth. What it has not had, until now, is a commercial-conversion layer. The seven tools below close that gap. Each one is explicitly about money on the page, not traffic to the page.
The seven, with what they actually do
1. Checkout Abandonment Autopsy
Baymard's US checkout research says 70 percent of carts abandon. About half of that is fixable on-page. The autopsy scans the ten friction patterns responsible: forced account creation, excess required fields, hidden shipping cost, missing trust badges at the payment step, single payment method, no inline validation, missing progress indicator, broken mobile viewport, no exit-intent capture, and missing upsell on cart. Emits a ranked fix list with Baymard-benchmarked recovery estimates per fix.
Biggest lever it usually finds: no guest checkout. Forced account creation is the single most-cited reason for US checkout abandonment in Baymard's research, and it is almost always a one-line fix.
2. Pricing Psychology Audit
Twelve levers decide whether a pricing page converts. Tier count. Decoy middle tier. Anchor pricing with strikethrough. Annual-vs-monthly framing with an actual visible discount. Most-popular badge. Money-back guarantee placement. Free trial presence. Enterprise contact-sales tier. Currency localization. Feature-comparison table. CTA text variety across tiers. Social proof within 500 pixels of pricing. The audit scores all twelve.
Highest-impact finding I see repeatedly: annual billing exists but the discount is invisible. Sites show monthly and annual toggles without highlighting "Save 20%" or "2 months free". Adding that callout lifts annual-plan adoption 3–5× in my experience, which is most of SaaS gross-margin expansion.
3. Revenue-Per-URL Attribution Map
Paste a GA4 pages-and-screens export. URL column, sessions column, revenue column. The tool classifies every URL into four quadrants: Stars (high traffic + high revenue per session), Hidden Gems (low traffic + high revenue per session), Vanity Rankers (high traffic + low revenue per session), Cut Candidates. Returns a ranked 80/20 map: which 50 URLs earn 80 percent of revenue.
Every data point stays in your browser. No upload. No OAuth. Close the tab and it is gone.
The non-obvious insight: most SMB sites have 5 to 15 Star URLs carrying the business, and optimization effort is spread uniformly across 5,000 URLs instead of those 15. Identifying the 15 changes the ROI of every other audit downstream.
4. About-Page Conversion Audit
The About page is the second-highest-intent page on any small-business site, right after home. A visitor chose to read about you. Most About pages ship a paragraph of generic narrative and squander that intent.
The audit scores fourteen signals: founder photo, tenure statement, quantified experience, credentials, press logos, Person (or AboutPage) schema with sameAs pointing to cross-verifiable profiles, email + phone + calendar-booking link visibility, CTA above the fold, team-page link, origin story, values, video intro, professional affiliations, and address. Emits a score and a ranked fix list.
5. Form-Field Friction Estimator
The existing Form Conversion Audit scores forms at the form level. This one goes deeper: per-field drop-off prediction. It classifies each field by type (email, phone, company, DOB, address, CAPTCHA, custom, etc.), applies published Zuko / Formisimo benchmark drop-off weights, and computes the cumulative completion probability as each field is added.
The output is a ruler showing which specific field sent the funnel from 82 percent completion to 46 percent. Usually it is one of phone, DOB, company name, or CAPTCHA. Cutting that one field is often worth more than all other form tweaks combined.
6. Upsell + Cross-Sell Surface Audit
Ten upsell + cross-sell patterns that lift AOV 10 to 50 percent: related-products carousel, frequently-bought-together bundle, subscribe-and-save, quantity discount tiers, free-shipping threshold with live progress meter, gift with purchase, post-purchase one-click upsell, cart-value display, scarcity / urgency signals (real, not fake), review stars near CTA, and complementary-product callouts in body copy.
The audit finds which are present, which are missing, and estimates the AOV impact of adding the missing ones. Notes where FTC's 2024 dark-pattern rulemaking draws the line on fake scarcity.
7. Scroll Depth + CTA Visibility Map
Finds every CTA on a page, estimates rendered page height, and maps each CTA to its scroll-depth percentage + mobile-screen count. Flags CTAs buried past 75 percent scroll (where only about 30 percent of visitors will ever see them), and highlights long CTA-free gaps where intent is lost between actions.
Most SMB pages ship a hero CTA, then nothing actionable until the footer. This tool makes that invisible failure visible.
How they integrate with the rest of the site
Each of the seven is wired into the shared analyzer-cross-audit.js pattern table. When Mega Analyzer's findings match any of the signals above — "guest checkout", "pricing tier count", "About page photo", "form field drop-off", "upsell surface", "CTA below the fold" — the Fix / Audit / Learn pill cluster on that row deep-links into the right specialist. This means Mega Analyzer's single URL scan now surfaces conversion findings as first-class results, not just SEO findings.
The one meta-insight
Most SMB + solo-operator sites spend 80 percent of their optimization effort on ranking (SEO, schema, speed, E-E-A-T) and 20 percent on converting what ranks. The ROI curve usually inverts around the time you have 1,000 monthly visitors and ~3 percent baseline conversion. Past that inflection, each percentage point of conversion improvement outperforms a full month of new-traffic acquisition.
The seven tools above are where that optimization work happens. The Revenue-Per-URL Attribution Map tells you which pages earn it; the other six tell you how to harvest more from each of those pages.
Why I built them in this order
The Revenue-Per-URL Attribution Map is the keystone. Until you know which 15 URLs earn the money, the other six tools are guesswork. Run Attribution first, get the list, then run the other six against each Star and each Hidden Gem. That is the sequence that produces measurable lift in thirty days.
If you are running an SMB site and have not looked at per-URL revenue before, the first scan often surfaces a single page earning 20 to 40 percent of total revenue that you did not realize was that important. That single finding is worth the rest of the stack combined, because it focuses the next ninety days of optimization work on the thing that actually matters.
For context on where these seven fit inside the larger workflow of small-business marketing, the same thinking about focusing effort shows up in The $97 Launch on Kindle — different stack, same compounding principle: find the leverage point that compresses the longest step in your funnel, and keep the savings.
Related reading
- Why the tool suite exists at all — the ethos behind shipping free audits.
- Mega Analyzer — seven-dimension ranking orchestration — the parent audit these pills wire into.
- Mega GEO + Mega AEO pill actions — the pill-cluster pattern these seven adopt.
- Funnel keyword audit — Tier-1-through-Tier-5 buyer-intent framing the Revenue-Per-URL tool inherits.
- E-E-A-T schema deep-dive — what the About-Page Conversion Audit's Person-schema check grades against.
Fact-check notes and sources
- Baymard Institute checkout abandonment research: Reasons for Abandonments During Checkout. Source for the "70 percent abandon, half fixable" framing and the per-friction recovery estimates in the Checkout Abandonment Autopsy.
- Zuko Analytics form-field benchmarks: Form analytics benchmarks. Source for the per-field drop-off weights in the Form-Field Friction Estimator.
- Formisimo form usability research (acquired by Zuko 2019).
- FTC rulemaking on deceptive dark patterns (fake scarcity, subscription traps): 16 CFR Part 465.
- Content Marketing Institute scroll-depth research: historical reference for the "42 percent never scroll past 50 percent" data point.
- Dan Ariely, Predictably Irrational — decoy effect research underpinning the Pricing Psychology Audit's "Most Popular badge" check.
Informational, not investment or consulting advice. Each tool runs heuristic checks. For production decisions pair them with real-user field data and manual review. Mentions of Baymard Institute, Zuko Analytics, Formisimo, Shopify, WooCommerce, BigCommerce, Stripe, PayPal, Apple Pay, Google Pay, Shop Pay, Klarna, Afterpay, Affirm, ReConvert, CartHook, AfterSell, Calendly, GA4, Content Marketing Institute, Dan Ariely are nominative fair use. No affiliation implied.
