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Case study

89 interested replies for Primacy across four product lines and multiple verticals

89
Interested replies
64K
Emails sent
4
Product lines
Category
Services
Industry
AI-powered marketing agency
HQ
United States
Engagement
11 months

About Primacy

Primacy is "your outsourced marketing department." Unlimited social posts, email campaigns, ad copy, blogs, landing pages, and content engines, delivered by AI-powered agents backed by a human team.

The category is marketing-as-a-service, but the mechanic underneath is agent orchestration: outbound built off firmographic triggers, 90-day content engines launched off positioning briefs, landing pages generated on demand. No hourly cap, no lock-in, a full refund if the work doesn't perform. Primacy runs four product lines: Marketing AI Agents for growth teams, Coaches AI Agents for executive and career coaches, Onboarding AI Agents for professional services and healthcare, and a Marketing-as-a-Department retainer. Each runs against multiple verticals inside it.

The challenge

01
A category all making the same claim
Every agency says "your outsourced marketing team."
The challenge

Primacy competes in a category where everyone promises the same thing. Cutting through required naming a mechanism, not a promise.

02
Four products, many verticals each
A coach and a CMO don't answer the same message.
The challenge

A register that lands with a career coach falls flat on a financial-services CMO. Same offer, a different conversation for every product and vertical.

03
A trust hurdle on retainers
The buyer has been burned by an agency before.
The challenge

Every campaign had to earn past the "another marketing pitch" reflex before it earned interest. Skepticism was the default starting position.

04
Warm leads that went cold
Strong prospects showed interest, then went quiet.
The challenge

Some of Primacy's strongest prospects showed early interest, then priorities shifted. Standard cold sequencing wouldn't reopen those threads.

The GTM engineering in works

GTM Play 01
One book, scoped product by vertical
Nine specific conversations, not one category claim.
The play

Distinct campaigns per product line by vertical: Marketing agents for financial services, Onboarding for healthcare, Coaches for career-transition coaches, Marketing-as-a-Department for print and packaging.

Every recipe was scoped before a word was written, with cross-vertical infrastructure holding message coherence across the book.

GTM Play 02
Lead with the mechanism, not the label
What the agent does, never "AI-powered" as a phrase.
The play

Every campaign led with the mechanism: agents that handle lead gen and booking, launch 90-day content engines off the prospect's positioning, or cut a five-day intake to one hour.

The mechanic did the persuading, not the label, and it carried the no-hourly-cap, no-lock-in claim under the refund guarantee.

GTM Play 03
Two variants per campaign
Personalized observable against peer consultative.
~2x best variant vs the weakestreply attribution split by opener style
The play

Variant 1 was a personalized observable scraped from the prospect's own site or Google presence. Variant 2 was a peer-consultative open, operator to operator.

Both ran concurrently on every product by vertical, so reply attribution split by opener style, not just by product or audience.

GTM Play 04
The refund guarantee as the close
Every campaign closed on money-back, never "trial."
The play

Every campaign closed on a version of "if you don't like our work, we give back what we charged," positioned as risk-free without ever using the word "trial."

It earned its place because Primacy actually offers it. A promise delivery couldn't back would have unwound the book by month three.

GTM Play 05
A sequence that tightens each email
Email 4 was a soft handoff to a colleague.
The play

Email 1 carried the hook, the mechanism, and the guarantee. Email 2 gave three implementation ideas mapped to their specific company. Email 3 re-surfaced with a named-outcome story or a nudge.

Email 4 was a soft handoff: "would a colleague be a better person to speak to?" Never a re-pitch.

GTM Play 06
Retarget the leads that went cold
"Re:" threads reopened, not cold restarts.
~3x the cold positive-reply ratereopening a real thread, not starting one
The play

A dedicated track for prospects who showed early interest then went quiet, opening with a direct acknowledgment of the gap and a "Re:" prefix on the company name to pattern-match a real thread reply.

A different four-email sequence from the cold book, tuned to reopen threads rather than create them.

Results

89
Interested replies across four product lines and multiple industry verticals
64,755
Emails sent across the full campaign book over 11 months
4
Product lines running in parallel, each with its own campaign book
Free test campaign

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