70.22%
Average documented online shopping-cart abandonment across 50 studies.
🛒 Source: Baymard Institute
Architectural Revenue Remediator
Your business doesn't need just another 'AI built website',
But a structured weapon to win the 'Anyone can use AI' fight.
AI can make a site look polished fast.
BUT
Revenue still depends on what happens after the clicks: trust, speed, clarity, forms, checkout and the path to action.
Instant Revenue Remediation
Enter your domain below to get your real-time Revenue Readiness diagnostic.
Mapping site hierarchy & mobile DOM...
Testing technical response & protocols...
Evaluating trust signals & CTA clarity...
Measuring telemetry & analytics setup...
Calculating Revenue Readiness Index...
WHY EVERY SCAN COUNTS:
Why not contribute using just a URL? Every completed scan adds another real-world pattern that can help refine how the Remediator weighs website signals across different customer journeys and contexts.
Only publicly visible website structure, page-content signals and technical metadata are analyzed. No private, account-only or internal business data is accessed.
THE POLISHED-WEBSITE PARADOX
Your website may look like a MNC, BUT DOES IT CONVERT LIKE ONE?
A quick peek under the hood of the Remediator.
⚠ RESEARCH SIGNAL
1 / 24
42%
Of US online shoppers in Baymard's study had abandoned a cart because they were only browsing or not ready to buy.
👀 Source: Baymard Institute
40%
Extra costs — shipping, tax or fees — were the biggest actionable cart-abandonment reason in Baymard's current data.
💸 Source: Baymard Institute
20%
Said delivery was too slow.
🚚 Source: Baymard Institute
19%
Abandoned because they did not trust the site with credit-card information.
🔐 Source: Baymard Institute
18%
Left because the site required account creation.
👤 Source: Baymard Institute
17%
Abandoned because checkout felt too long or complicated.
🧩 Source: Baymard Institute
17%
Said the website had errors or crashed.
💥 Source: Baymard Institute
13%
Said the returns policy was not satisfactory.
↩️ Source: Baymard Institute
12%
Could not see or calculate the total order cost up front.
🧾 Source: Baymard Institute
9%
Said there were not enough payment methods.
💳 Source: Baymard Institute
7–8
Form fields can be enough for an ideal checkout flow; Baymard's benchmark cited an average of 14.88.
✍️ Source: Baymard Institute
20–60%
Baymard says many checkout flows can reduce the number of default form elements by this range.
✂️ Source: Baymard Institute
35.26%
Baymard estimates the average large ecommerce site could potentially increase conversion through better checkout design by this amount.
📈 Source: Baymard Institute
39
Potential checkout-improvement areas were found on the average site in Baymard's benchmark of 60 leading ecommerce sites.
🧱 Source: Baymard Institute
#1
Pricing ranked highest among 28 types of B2B website information in NN/g research.
🏷️ Source: Nielsen Norman Group
+29%
B2B users ranked pricing 29% higher than product availability, which came second.
📊 Source: Nielsen Norman Group
Macro ≠ Micro
NN/g separates real business outcomes — purchases and submitted lead forms — from smaller steps such as adding to cart or visiting a form page.
🎯 Source: Nielsen Norman Group
+8%
Vodafone saw 8% more sales after a 31% LCP improvement in an A/B test with no visual or functional differences between versions.
⚡ Source: Google / web.dev
+15%
Vodafone's optimized version improved its lead-to-visit rate by 15%.
📞 Source: Google / web.dev
+11%
The same Vodafone test improved cart-to-visit rate by 11%.
🛍️ Source: Google / web.dev
NON-COMMODITY
Google says unique, compelling and useful non-commodity content is likely to influence long-term presence in generative AI Search more than the other suggestions in its guide.
🤖 Source: Google Search Central
DON'T RECYCLE
Google specifically advises against simply repeating what others already said — or what a generative AI model could easily produce.
🦜 Source: Google Search Central
2.5s · 200ms · 0.1
Google's good Core Web Vitals targets: LCP within 2.5s, INP at 200ms or less, and CLS at 0.1 or less.
⏱️ Source: Google / web.dev
Research percentages describe study populations — they are never treated as your site's measured revenue loss. Your score changes only when the scanner finds relevant evidence on your site.
WHY OUR REMEDIATOR SHOULD BE YOUR CHOICE
Research sets priority, your website supplies the evidence:
Traffic is not the finish line. Trilloka checks the commercial path between attention and the outcome your business actually needs.
01 · COMMERCIAL PATH
Can they actually convert?
Buy, book, call, request a quote, request a demo, reserve, subscribe or submit a lead — based on the customer journey the public site actually exposes.
02 · FRICTION + TRUST
What gets in the way?
Forms, checkout, pricing visibility, trust cues, mobile actions and unnecessary effort.
03 · MEASURED PERFORMANCE
What does telemetry show?
PageSpeed, Core Web Vitals and technical evidence where available — never a fake zero when data is unavailable.
04 · AI / TEMPLATE PATTERN
Does it sound interchangeable?
A conservative sameness heuristic looks for generic language and template patterns. It does not claim to prove AI authorship.
Verified Evidence × Commercial Importance × Journey + Context × Severity × Confidence
Baymard informs ecommerce/checkout priority · Nielsen Norman Group informs usability, forms and B2B behavior · Google/web.dev/CrUX/Lighthouse informs performance and technical evidence · SEO remains visible, but a minor SEO issue does not outrank a broken commercial path.