Cold outreach from B2B cybersecurity consultancies often gets deleted on sight. Enriching every prospect from LinkedIn and company news, letting AI write a genuinely specific opening line and stopping sequences the instant anyone replies typically lifts reply rates to about 2.7x the industry average.
Typical results
8.1%
Reply rate, 2.7x industry average
9/mo
Discovery calls booked, up from 2
1 min
Research per prospect, down from 15
0
Automated emails sent after a reply
Figures reflect typical results for this kind of automation.
The challenge
The consultancy's template blasts earned a 1.4% reply rate and the occasional angry response. Real personalization meant fifteen minutes of manual research per prospect — unsustainable at volume — and worse, sequences kept firing after someone replied, so interested CISOs received a canned follow-up right after asking a question. Credibility, their core product, was leaking.
Before and after
Cold email reply rate
5.8×Discovery calls booked per month
4.5×Research time per prospect
−93%The automation
We built an enrichment pipeline that pulls each prospect's LinkedIn activity, role history, and recent company news — funding, breaches in their sector, new compliance deadlines. An OpenAI step writes an opening line tied to one specific, verifiable fact, and reps approve drafts in batches. Sequences run three touches over two weeks, and the moment anyone replies, the automation kills itself and alerts the rep on WhatsApp with the full thread.
How it works
- 01
Prospect enrichment
Each prospect is enriched with LinkedIn activity, role history, and recent company news automatically.
- 02
AI opening line
OpenAI writes a first line tied to one specific, verifiable fact — funding, a sector breach, a compliance deadline.
- 03
Rep spot-check
Reps approve drafts in batches; anything generic gets regenerated before sending.
- 04
Sequence runs
Three touches go out over two weeks, spaced and tracked per prospect.
- 05
Reply kills the robot
Any reply stops the sequence instantly and alerts the rep on WhatsApp with the full thread.
Starts from
- Prospect list
- LinkedIn & news enrichment
Delivers
- Warm-intro sequences
- Instant reply alert to rep
- Auto-stop on reply
The impact
Reply rates typically climb from around 1.4% to 8.1%, about 2.7 times the industry average for cold outreach. Discovery calls booked can jump from two to nine a month, manual research drops to a one-minute spot-check, and the auto-stop means no prospect receives an automated email after replying.
Questions about this automation
Where does the personalization data come from?
Each prospect is enriched automatically with LinkedIn activity, role history and recent company news, such as funding, a breach in their sector or a new compliance deadline. An OpenAI step then writes an opening line tied to one specific, verifiable fact from that research, instead of a generic template line.
Do reps review the AI-written emails before they are sent?
Yes. Drafts arrive in batches for a quick spot-check, and anything that reads as generic is regenerated before sending. Only approved emails enter the three-touch sequence, which runs over two weeks with spacing and tracking per prospect, so reps stay in control of what goes out.
How does the sequence know a prospect has replied?
The flow watches the sending mailbox for replies on every thread. Any reply stops the sequence for that prospect at once, so an interested buyer never receives a canned follow-up after asking a question. The rep gets a WhatsApp alert with the full email thread and answers personally. This is a multi-step build, usually rolled out in stages.