How Omni books 47 demos a month at $12 per meeting
Books qualified meetings for tech and consulting teams via fully-managed LinkedIn outreach.
What wasn’t working
Omni's ideal client is a tech-leaning agency or consulting principal, but Apollo's 'agency owner' filter is a sea of solopreneurs and recruiters. Reply rates on cold lookalike lists were sliding past the floor.
What they changed
They flipped from cold list to intent: Saava watches the LinkedIn voices Omni's ideal clients actually follow (consulting growth thought leaders, IT services creators, partnership ecosystem voices) and surfaces every active engager as a scored lead with contact attached.
How it played out
Lookalikes were diluting the ICP
Title-matching brought in everyone with 'founder' in their bio. The actual decision-makers were lost in the noise, and reply rates were trending toward zero.
Real intent beats real titles
By watching the voices their ICP follows, Omni stopped guessing who was a buyer. Every engager came in pre-qualified, by their own behavior, not by a CSV.
Recency is the unfair advantage
47 booked demos a month at $12 cost-per-meeting works because the outreach lands in the same hour the prospect engaged. By the time competitors get the same name, the conversation is already started.
“Cold lists max out at 1 to 2% replies. The intent leads Saava sends reply at 18%, because the message lands in the same hour they engaged.”
The steps, if you want to try this
- 01Stop title matching: a title filter pulls in solo operators and recruiters alongside real buyers.
- 02Track the voices your ideal clients follow and let their engagement do the qualifying.
- 03Send the first message within the same hour the person engaged.
- 04Track cost per booked meeting and days from lead to meeting, not list size.
