Pre-launch quality control
Run important paid destinations through the same technical and conversion-readiness check before spend begins.
Give your team an objective system to test every destination before launch, show clients what changed, and catch regressions before they waste more budget.
The strongest agency use cases begin when a campaign is launching, lead costs rise, a client asks whether the page is the problem, or a builder refuses to get faster.
Run important paid destinations through the same technical and conversion-readiness check before spend begins.
Show dated score and Core Web Vitals snapshots so clients can see the work behind the result.
Know when new scripts, widgets, tags, fonts, images, or client edits weaken a previously healthy destination.
Add the client, primary domain, paid destinations, and current baseline.
Use complete ClickMend Fixes or start a Builder project when the current stack is too constrained.
Enable weekly monitoring, score-drop alerts, history, and exact-score verification.
Share the public record, badge, before-and-after card, and Results Board outcome when eligible and approved.
Every paid-traffic page we launch is continuously monitored by ClickMend and must maintain a ClickMend Verified score of 90 or higher. This page is currently verified at 99/100.
Required context: ClickMend Verified is not a Google certification and does not guarantee advertising cost, ranking, lead volume, conversion rate, or revenue.
Up to 5 client accounts · 5 Build Projects/month · 15 monitored destinations.
6–15 client accounts · 20 Build Projects/month · 75 monitored destinations.
16–50 client accounts · 50 Build Projects/month · 250 monitored destinations.
Use the editable revenue-loss estimate to make the possible economic impact concrete without hiding assumptions.
Use objective destination evidence and dated history to reduce the agency/client blame cycle.
See the named technical culprits and start a Builder project when the current platform remains constrained.
Scheduled monitoring and score-change alerts show when the regression began.
The product demonstration should do the selling: score, possible leak, named culprits, improvement, and ongoing proof.