Two B2B founders. Both spending $10,000 per month on Meta ads.
Which one actually scales:
A) 5 perfectly crafted ads to a laser-targeted interest audience
B) 30 varied ads to broad targeting and lets the algorithm find the winners
I'll explain why B wins every time below.
3/ Campaign Structure
ABO at $125 per day minimum per ad set if total spend is above $250 per day.
Broad targeting, no interest stacking. Audience Network disabled completely. Leaving it on is one of the fastest ways to burn budget on placements that have no business running B2B traffic.
5/ Post-Booking
9-email sequence deployed over 72 hours after every booking confirmation.
Speed to lead under 5 minutes from the moment a form submits. Every hour after a call is booked, intent drops.
Calendar availability set to 45-minute slots with no more than 4 to 5 days out. Push availability further than that and show rates fall off a cliff.
2/ Messaging
25 or more problems, circumstances, and outcomes documented from ICP research, written in the client's exact language.
8 to 10 ad scripts written per angle before a single frame is filmed, broken into problem-based, circumstance-based, and outcome-based categories.
That's roughly 25 to 30 scripts total before you touch a camera.
The pre-launch checklist I run before every Meta campaign goes live.
137 items. Every single one has caused a blown launch when it was skipped.
Here are the ones that kill most campaigns before they ever find a winner:
1/ Account Foundation
Pixel installed on every funnel page: landing page, VSL, application, booking, and confirmation.
CAPI running if you're above $500 per day in spend. Without it, Meta browser tracking double-counts some conversions and misses others, which corrupts the optimization signal you're paying to build.
Attribution set to 7-day click, not the default window.