Scoring methodology
How EcommerceBoost turns public store signals into a score.
EcommerceBoost scores stores with ecommerce-specific checks, confidence levels, and business-priority weighting. The goal is not a vanity number. The goal is a defensible roadmap for what to fix first.
Ecommerce checks weigh more than generic checks
A product schema issue, missing return policy, weak reviews, or unclear add-to-cart path matters more for a store than generic page cosmetics.
Unknown is not the same as failed
If a store is heavily JavaScript-driven or blocks a specific signal, EcommerceBoost marks confidence lower instead of inventing a hard failure.
Limited scans are separated from full scans
When automation is blocked, the report uses domain-level public signals only and is labeled as limited so it does not compete with full storefront audits.
Revenue lift is directional
Estimated revenue lift uses public traffic/AOV assumptions and failed checks. It is a prioritization model, not a financial guarantee.
Eight categories
What the score considers
Trust
Policies, HTTPS, contact visibility, cookie/GDPR signals, reviews, returns, and buyer confidence.
SEO
Titles, meta descriptions, headings, schema, sitemap, robots signals, product structured data, and crawl quality.
Conversion
Product price, add-to-cart, reviews, shipping information, CTA clarity, product detail depth, and purchase friction.
Performance
Mobile speed signals, image optimization, render blocking, response time, script weight, and UX stability proxies.
Marketing
Measurement and retention foundations such as GA4, Meta, email tools, and retargeting signals where publicly visible.
Accessibility
Alt text, language, viewport, form labels, ARIA attributes, contrast signals, and screen-reader basics.
Security
HTTPS, mixed content, and real response headers such as HSTS, CSP, X-Frame-Options, Referrer-Policy, and Permissions-Policy.
Authority
Public authority context such as domain signals and social presence. This category is intentionally weighted lightly.
Confidence labels
Reports show High, Medium, or Low confidence when signals are incomplete, timeout, or are hidden behind JavaScript, consent managers, bot protection, or server-side implementations.
Limited reports
If a store blocks the full scan, EcommerceBoost still returns useful domain-level signals where possible, but the report is labeled limited and capped conservatively.
Estimated revenue lift
Revenue estimates are directional. They help compare priorities, but merchants should edit traffic, AOV, and conversion assumptions for a tighter forecast.
The practical outcome
The score is useful because it connects technical storefront signals to ecommerce workflows: save the report, export the roadmap, monitor weekly, compare competitors, run batch product audits, or call the API from agents and dashboards.