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Common public-path risk · Mid-journey abandonment

Growing Consumer Brands

Product pages answer marketing questions but not buying questions, so an interested shopper reaches checkout still unsure about fit, shipping, or returns and abandons the cart. Proof exists somewhere on the site, but not on the page where the decision actually happens.

Public pages only. The $97 report comes after the result.

Public pages onlyInspect the method →
Sector surface map Public evidence
Generated sample photograph of a Revvye sector surface map. Live observation counts bind from the industry registry, not from this image.Sample method photograph
6documented observations
  1. 01
    SurfacePublic page and response
  2. 02
    ContextMid-journey abandonment
  3. 03
    DecisionEvidence-backed next step
43 published rulesNo private analytics
Observation register · source-bound

What Revvye can inspect on this public path.

These are sector-specific observation prompts from the industry registry. Your result only includes signals the scan actually detects.

  1. 01

    Whether product pages answer the real pre-purchase questions: sizing or fit, shipping time, and return policy, in view without extra clicks.

  2. 02

    Whether reviews on the product page mention the specific product, not a storewide rating badge with no detail.

  3. 03

    Whether the checkout flow works cleanly on mobile, including autofill, without unexpected steps or dead-end errors.

  4. 04

    Whether FAQ coverage on the product page addresses the objections that actually stop a purchase in this category.

  5. 05

    Whether email or SMS capture happens before a visitor leaves, not only after a completed purchase.

  6. 06

    Whether AI shopping and answer engines can read product details and structured data, not just rendered marketing copy.

Public failure patterns

Described. Not claimed.

These are documented sector patterns, not customer findings. A scan must observe the signal on your URL before it becomes part of your result.

  1. 01

    A product page with strong photography but no visible return policy or shipping timeline anywhere above the fold.

  2. 02

    A storewide '4.8 stars' badge with no way to read reviews specific to the product actually being viewed.

  3. 03

    A checkout flow that redirects through a third-party payment page and loses the cart contents on the way.

  4. 04

    An FAQ section that answers brand-story questions but never addresses sizing, durability, or the return process.

  5. 05

    An exit-intent popup that appears before a visitor has scrolled past the hero image, interrupting the one moment they were reading product details.

Fix posture · after observation

A sequence for deciding what to change first.

This is a sector playbook, not a promised outcome. The detected evidence still determines whether any step belongs in the actual work order.

  1. 01

    Put shipping time, return policy, and fit guidance directly on the product page, not two clicks away.

  2. 02

    Attribute reviews to the specific product being viewed, not a storewide score.

  3. 03

    Test the mobile checkout path end to end, including any third-party payment redirect.

  4. 04

    Capture email or SMS at the point of hesitation, not only after checkout completes.

Published rule boundary

Sector context cannot invent a rule match.

The scan engine exposes 43 named public checks. Relevant rule definitions appear here only when the sector registry cites their real ids.

01CRAWLER_BLOCKED_BY_ROBOTS_TXT

AI crawler disallowed by robots.txt

Observes

robots.txt fetched from the domain root · per-bot Allow/Disallow evaluation via robots-parser · the matched robots.txt line number for the blocking rule

Does not measure

Detects only what robots.txt declares for the named bots Revvye tracks; it does not verify whether the engine actually honored the rule, nor whether the bot was blocked by a firewall/WAF the scanner cannot see.

02structured-data.product.incomplete

Product/Offer schema missing required properties

Observes

presence of a Product or Offer node · required props: price, priceCurrency, availability (flattened from nested offers)

Does not measure

Validates the property set for rich-result eligibility, not whether the price shown matches your checkout.

03markup.viewport-missing

Missing viewport meta tag

Observes

<meta name="viewport"> presence

Does not measure

Checks the tag exists; the actual mobile rendering (overflow, CTA position) is graded by the mobile-experience worker checks.

Sector boundary questions

What the public scan can—and cannot—answer.

01Will Revvye tell me my actual cart abandonment rate?

No. Revvye does not see your analytics, cart, or order data. It evaluates the public product and checkout surface a stranger meets, and flags the friction points most likely to be causing abandonment.

02We sell on a marketplace, not just our own site. Does the scan cover that?

Revvye scans your own public website and storefront. Marketplace listings on platforms like Amazon or Etsy are outside the current scan scope, though the same buying-question gaps often show up there too.

03What if our brand is mostly wholesale, not direct-to-consumer?

The scan still surfaces value. Wholesale buyers and retail partners research your public site before reaching out, and the same trust and clarity gaps affect a B2B buyer's confidence just as much as a retail shopper's.

04Can shopping assistants cite my products without Product schema?

They can guess from visible copy, but incomplete Product and Offer markup is how machines miss price, availability, and identity. Google's ecommerce guidance still starts with crawlable product pages that match the structured data. Revvye flags missing required properties. It cannot see your cart analytics or promise a shopping-graph listing.

Observe the path before prescribing the fix.

The sector pattern is context. Your URL supplies the evidence.Return to the scanner

Run this sector against your URL.

Public pages only. The $97 report comes after the result.