CadrianSales leader driving AI transformation?

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Cadrian

I run outbound at a startup selling an AI QA and evaluation product to customer-support teams. AI writes and sends about 500 messages to prospective companies a week. Almost nobody replies. What am I doing wrong?

I run outbound at a startup selling an AI QA and evaluation product to customer-support teams. AI writes and sends about 500 messages to prospective companies a week. Almost nobody replies. What am I doing wrong?
38 interviews reviewed · 6 used
Marketing ops lead· Fintech400+ people · ~40% YoYTrade volume for fit
GTM engineer· Voice AI180 people · enterprise outboundWatch hiring signals
Sales ops director· B2B software28 reps · 3 regionsQualify before sending
Revenue ops lead· Marketplace700+ people · multi-market salesRequire live evidence
Growth lead· SaaS120→300 people · moved upmarketRecheck who buys now
SDR manager· Developer tools35 reps · AI-assisted outboundRead buyer comments
Cadrian

You automated the half that wasn't the bottleneck. AI writes and sends 500 messages, but who you send to decides whether any land. A GTM engineer at a voice AI company watches for new voice-role postings. Voice isn't a product most companies have, so hiring for it means someone decided to build it. Same logic for you: support QA, evaluation, or ops roles where the description mentions review backlogs, inconsistent scoring, or coaching at scale. Then read what those support leaders say in their LinkedIn comments, not their profiles, and open with what they described. Try it on 50 accounts first.

Evidence-led outbound pilotGet this skill →
View three sources
  1. 1.GTM engineer — Voice AI company
  2. 2.Revenue ops lead — Marketplace
  3. 3.SDR manager — Developer tools

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An outbound lead selling an AI QA and evaluation product to customer-support teams asks why 500 AI-written messages to prospective companies earn almost no replies. Cadrian searches the interview corpus directly, reviews six role-level profiles, keeps three recommendations in the visible tool history, and proposes a controlled test of evidence-led targeting against the current list.

We’re building the corpus. One conversation, podcast, or newsletter at a time.

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  • Rewrote the first two sentences as a POV on the signal. Replies: 2% to double digits.

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    Built Looker's outbound from 2 to 65 SDRs

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  • The day before a first call, send a micro-story about a similar company. No-shows drop.

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  • Most reps hold about two connections inside an account. That is the real risk.

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    Alyssa Merwin HendersonGlobal VP, Talent Solutions, LinkedIn

    Scaled LinkedIn Sales Navigator globally

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  • Role-play the hardest objection you have ever heard, so the real call feels easy.

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    Ernest OwusuHead of Sales Development, 6sense

    Grew 6sense's SDR team from 5 to 60

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  • Ran his own data: 80% of meetings came from campaigns with no signals at all.

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    Jed MahrleFounder, Practical Prospecting

    Built PandaDoc's outbound from 0 to 20 reps

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  • Cold calls nearly double email replies — 3.44% vs 1.81% — even when nobody picks up.

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    Armand FarrokhFounder, 30MPC

    300M+ cold calls analyzed with Gong

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  • The average rep sends 344 cold emails for one meeting. Pitching cuts replies 57%.

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    Jason BayFounder & CEO, Outbound Squad

    Trained 10,000+ reps at Gong, Zoom, Rippling

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  • A/B-tested LinkedIn requests: blank notes beat personalized ones on acceptance.

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    Morgan J IngramFounder & CEO, AMP

    4x LinkedIn Top Sales Voice

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  • Break-up emails, sent after four unanswered follow-ups, get about 70% response.

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    Josh BraunFounder, Braun Training

    Ex-Head of Sales, Basecamp

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  • Her cold open asks for 27 seconds — and promises never to call again.

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    Sara UyFounder, SellingSara

    Forbes 30 Under 30 in sales

    Allo playbook

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What are you actually trying to solve?

You’re on the list. One sentence helps us choose who to interview and what to ask, so we can come back with something that actually answers it.

A few things you might be wondering.

What does Cadrian actually do?

Cadrian interviews AI-first people around the question you’re trying to solve. What we learn goes into an answer for you, not into a lab dataset.

Who do you interview?

People who have transformed a sales motion with AI and can explain exactly what changed: the workflow, the time it removed, and what improved. The role depends on your question.

Why would they reveal their playbook?

Because we pay them for the interview. We ask for the details that usually stay private: what they tried, what failed, and what actually saved time.

How do I get an answer?

Leave your email and the question you’re trying to solve. If the relevant interviews are already in the corpus, we answer from them. If not, we interview the people who can fill the gap.

Do you talk about other AI sales tools?

Yes. We’re neutral about the tools themselves. If someone in the corpus has genuinely benefited from one, we’ll tell you what they used and what changed. We won’t recommend a tool just because it exists, and we don’t take paid partnerships.