LockedIn AI

• ClientLockedIn AI
• IndustryAI SaaS
• RoleMarketing Manager
• StartedJun 2024

The challenge

LockedIn AI had a strong product in a category that barely existed two years ago. The problem was not interest, it was structure: paid traffic arriving with no clear path to a sign-up, messaging that changed from one channel to the next, organic pages competing with each other, and reporting that could not say which channel was actually producing paying users.

The strategy

Treat every channel as one funnel instead of four separate experiments. Fix measurement first so decisions could be based on sign-ups rather than clicks, sharpen the positioning so the same promise appeared in every ad and on every page, then scale the channels that produced users at a sustainable cost.

The work

• Performance ads. Rebuilt campaign structure across search and paid social, with tight themes, negative keyword management and creative testing cycles aimed at cost per sign-up.
• Conversion funnels. Landing pages and flows built around one action per page, matched to the ad that sent the visitor, with the friction removed from the sign-up path.
• Brand messaging. One clear positioning line and a consistent set of proof points used across ads, site, and social, so the product explains itself in a sentence.
• SEO. Technical clean-up, page-level keyword targeting and content aimed at the searches job seekers actually make, supporting paid rather than duplicating it.
• Tracking and reporting. Conversion tracking and channel reporting rebuilt so every sign-up could be attributed and the weekly decisions had real numbers behind them.

Results

Tools & platforms

Google AdsMeta AdsGA4Google Tag ManagerSearch ConsoleLanding pagesBrand messaging