Paid-Social Landing Pages: An Evidence Checklist

For the surrounding account decisions, compare Meta Ads Tools: An Evidence-Led Evaluation Framework and use Paid-Social Landing Pages: A Controlled Experiment as the next diagnostic.

In short

This guide owns one decision artifact: the filled, auditable structure below. Reader-supplied thresholds stay explicit; missing evidence stays missing.

Continuity and evidence audit

Ad claim	Landing-page match	On-page substantiation check	Destination / offer consistency	Pass condition
Named product outcome	Same qualified wording appears without stronger certainty	Evidence identifies source, scope, date, population, and limitations adjacent to claim	CTA leads to the same product/variant	Every qualification survives the click
Price or discount	Current amount, currency, eligibility, and expiry are visible	Commerce price and promotion rule reproduce displayed terms	Cart applies identical terms before payment	No hidden condition changes the advertised price
Shipping timing	Destination states geography, cutoff, carrier basis, and exceptions	Fulfilment service level or policy supports the wording	Checkout estimate agrees for the entered address	Unsupported universal delivery promise is absent
Review/testimonial	Same speaker/product/context is preserved	Permission, date, editing, and any material connection are recorded	Linked product matches reviewed item	Quote is not edited into a broader claim
Product image/variant	Hero depicts the selected sellable variant	Image provenance and variant mapping are verified	Product, cart, and checkout keep color/size/quantity	No bait-and-switch across asset states

Continuity pass rate = (audited ad-destination pairs passing every declared check) ÷ (audited eligible pairs). Source/window: versioned ads, destinations, commerce configuration, and evidence register at one release timestamp. This is a release metric, not proof of commercial lift.

Interpretation boundary

Use the ad-to-destination continuity audit only for its stated decision. Trace product outcomes, prices, shipping terms, testimonials, and variants from versioned ad through evidence, product page, cart, and checkout. A pair fails when a qualification disappears, substantiation lacks scope, promotion terms change, or the selected variant does not persist. Reader-supplied thresholds remain inputs, not universal standards.

Can software help?

Bach.ai audits your connected Meta account against 100+ checks, ranks what it finds by estimated impact, and proposes specific fixes. It stays read-only until you approve a change, then executes the approved change on Meta; connected Google Ads data is used for intelligence only. Think of it as an automated audit layer that surfaces issues and proposed fixes for your review — not a replacement for your team’s judgment, and it does not generate your creative.

FAQ

How do you audit claim continuity from a paid-social ad through checkout?

Trace product outcomes, prices, shipping terms, testimonials, and variants from versioned ad through evidence, product page, cart, and checkout.

Which inconsistencies cause an ad-to-page evidence check to fail?

A pair fails when a qualification disappears, substantiation lacks scope, promotion terms change, or the selected variant does not persist.

What can a landing-page evidence audit support without proving incremental impact?

It supports the bounded operating choice encoded by the ad-to-destination continuity audit. It cannot replace missing source records or turn platform credit and observed association into incremental impact.