Atishay

Cold Outreach Copywriting | Cold Email and LinkedIn Sales Systems

[Atishay @axtalks]

The EXACT script that got a positive response from a $1B+ company - Blue Origin

(Bezos’ Space Travel company 🚀)

In just ONE week of outreach

[THREAD]

[Atishay @axtalks]

After booking over 15,000+ sales calls in the last year,

I found the single highest-leverage move for increasing show-up rates:

If a prospect is not on Zoom 60 seconds after the call starts, call them.

• Place the call from your personal iPhone.
• Use a business number and you land in a spam-flag review queue.

You place the call yourself.

(delegate it to a setter and you lose the 'personal-phone' effect)

When you do this:

1. They answer the phone (most of the time, they actually do)
2. They tell you the call slipped their mind, they are driving, or they are with a client
3. They hop back on Zoom in 5 minutes, or they reschedule on that same call

This ONE move has saved me more meetings than any 'four-email' reminder sequence ever.

Not even close lol.

And I get it, most of you are scared to pick up the phone because it feels manual.

But trust me, it's worth it.

So collect phone numbers on the booking form (make it required).

Then actually use them.

You'll thank me later.

[Atishay @axtalks]

Running cold email is one of the easiest ways to increase your website conversions.

Prospects ALWAYS reverse-lookup your domain.

And it's funny to me how many agencies never measure that signup channel.

→ Put UTM parameters on the redirect record on your domain
→ Use a unique campaign name for outreach
→ Watch the GA report after launch and measure cold email traffic

Every website signup driven by cold email shows up in the report.

Free attribution most agencies leave on the table.

[Atishay @axtalks]

Out-of-office replies are free money for anyone willing to read the signature.

Usually, they have phone numbers in the signature.

Most people do nothing with them.

This is a golden opportunity to:

→ Extract phone numbers from OOO signatures with AI
→ Push to the SDR call list
→ Date the dial for 2 weeks out
→ The call lands the week the prospect is back

No competing emails OR catch-up backlog.

They actually pick up.

(disproportionate OOO percentage on a campaign also tells you the season is wrong for that ICP)

[Atishay @axtalks]

The "GTM engineer" role didn't exist 18 months ago. Now every series A SaaS has one in their JD pipeline. Here's why the role even needed to be invented:

Two years ago, what one GTM engineer does today would have required 4 or 5 people:

→ A list builder who knew Apollo, ZoomInfo, and scrapers
→ A copywriter who understood outbound vs. brand
→ A RevOps person to set up the CRM and tracking
→ A BDR to actually send the sequences
→ A sales manager to tie it all together

They ALL had to be perfectly in sync for the business to make money.

Most teams couldn't pull it off.

Then AI showed up.

Suddenly one smart person, working with the right tools, could replace most of that chain.

A new role got named. GTM engineer.

But "GTM engineer" is the most slippery title in B2B right now.

Some companies expect you to send MQLs to AEs... Others want you owning inbound tracking... others want you running the whole funnel from cold outreach to revenue.

The job description shifts company to company.

What does NOT shift is the skill stack you actually need to be good at it:

1 - Marketing fluency

Not "running ad campaigns" marketing.

The other one.

→ Understanding offers, angles, positioning
→ Researching a target audience and writing a message that lands
→ Knowing what your ICP cares about, not what they say they care about

This is the rarest skill on the list. And it's the one most ex-engineers underestimate.

2 - Living in the tools

Most of the bottleneck for GTM engineers is awareness.

→ People don't know that something CAN be done
→ They don't know which tool just shipped a feature that would solve their problem
→ They're not in the right conversations

3 - The ability to figure shit out

You don't need to be technical. A little, but not much.

→ Read API docs without giving up
→ Push past errors without panicking
→ Stay motivated to solve the problem you've been handed

With AI, that's enough.

The bar for "GTM engineer" is NOT a CS degree.

It's curiosity + marketing + tolerance for ambiguity.

If you have those three, you can ride this role for the next 5 years.

[Atishay @axtalks]

@iam_sumitd can't dm you for some reason

[Atishay @axtalks]

More reminder emails will NOT fix your show-up rate.

Here are the 10 things that actually will:

Every team I talk to with sub-75% show-up rates is doing the same thing.

Calendly invite + two templated reminders + hope.

When the day comes, HALD the booked calls evaporate.

The problem is in the sequence between booking and the call.

I put the exact 10-step playbook we run for our clients into a guide.

We have booked 27,000 sales meetings across 120 industries over 6 years, with some clients booking 200+ meetings a month from cold email alone.

Implement these incrementally.

Step 1 first, check, then step 2, then step 3.

The goal is the fewest steps that fix your rate.

What is inside:

1) The 4-email sequence with templates (positioning, social proof, prep, link)

2) The 3-text SMS layer with exact scripts and timing rules

3) The setter call playbook plus voicemail and SMS scripts

4) The personalized day-before email from your main inbox

5) The 30-second iPhone call move that recovers more meetings than the entire automated sequence combined

6) The variable nobody talks about that beats every tactic in this playbook

Want access?

• Comment "SHOWUP"
• Follow me

And I'll DM it asap

[Atishay @axtalks]

@Deepak_AvairAI interesting

[Atishay @axtalks]

@blueapedigital sent it please check dm

[Atishay @axtalks]

@b_winzer yessir

[Atishay @axtalks]

I built 6 claude code skills for cold email with the NEW opus 4.8…

(this AI system generated 1,000+ leads and $5M in pipeline in june)
​
Quick context on why now:

Cold email in 2026 has been brutal.

- google + microsoft tightened copy-fingerprinting rules
- AI written emails are flooding mailboxes, creating noise
- everyone in the space i talk to is seeing reply rates collapse while they 10x volume to compensate
​
And the "AI fixes this" pitch hasn't held up.

Claude 4.5 / 4.6 / 4.7 could write a passable email but couldn't actually RUN the workflows that matter.

They'd hallucinate steps mid-audit, and hand you something that doesn’t actually generate pipeline.
​
Opus 4.8 dropped wednesday and the agentic stuff finally works…

- parallel subagents run for real.
- coding hallucinations cut ~4x.
- effort control lets you crank reasoning when stakes warrant it.
​
So, I spent 6hrs over the weekend to create 6 cold email skills for this new model…

And i’m giving them away for FREE.
​
1. deliverability guard. 200+ spam patterns + plain-rewrite rules. catches what kills you before send (subject lines, body, CTAs across gmail/outlook/apple).

2. copy audit framework. 5-question pass/fail on whether your email actually gets a reply. tests personalization, specificity, the ask, human tone, and whether YOU'd reply to your own email.

3. cold email ops manager. daily/weekly/monthly/quarterly playbook. incident response for when sender rep tanks. red flags that tell you when to pause vs push.

4. reply classifier. 6 categories (hot, warm, curious, ooo, negative, bounce) with exact actions per category. positive reply rate formula included (the only metric that tells you if a campaign is working).

5 lead list grader. letter grades across 5 dimensions (dupes, title diversity, catch-all density, ICP fit, verification coverage). weighted formula for overall list quality.

6. offer idea generator. 5 offer types (insight, framework, audit, template, call) with hooks tailored to your ICP. includes the offer selection matrix + reply-test to validate before committing.

Want me to send the MD files?

Drop "skills" in the comments and i'll send the folder…

(MUST BE FOLLOWING)

PS

We’re actively using these 6 to send 2,000,000+ cold emails/mo for our clients and generate millions in pipeline on top of it.

And now, they’re yours free.

[Atishay @axtalks]

I've sent 20,000,000+ cold emails.

Trust me when I tell you:

Do NOT attach a lead magnet to your first cold email.

No matter how good.

The right sequence:

→ First email asks PERMISSION
→ They reply yes
→ You build the personalized version
→ You send it

Attaching a generic asset to the first email kills the experiment before it starts.

The whole point of a lead magnet is showing them you actually thought about their business.

They cannot tell you thought about it if they did not even reply yet.

Permission first --> Personalization second.

[Atishay @axtalks]

@NickAbraham12 legend

[Atishay @axtalks]

The fastest way to level up your cold email reply rates to realize this:

Not EVERY prospect deserves an email.

A 5,000 lead list with 2,000 bad fits is a 3,000 lead list.

Dragged down by 2,000.

Bad fits tank reply rate.

They raise spam complaints.

They burn domain reputation.

They waste sales time on the calls that do book.

Score the list before you send.

Otherwise the math always works against you.

[Atishay @axtalks]

Having sent well over 20M cold emails, I'm thoroughly convinced of 1 thing:

Placement tests do NOT measure your real cold email deliverability.

(neither do warmup scores)

You cannot mimic the inbox conditions of your actual prospects.

A seed list of 30 inboxes is not your buyer's Outlook tenant.

What we actually track:

1. Reply rate
2. Positive reply ratio
3. 550 bounce rate
4. Wrong-person reply percentage as a list-quality signal

Every other signal is irrelevant.

[Atishay @axtalks]

@paolo_scales 100 and it’s not even close

[Atishay @axtalks]

@Nickkonsta what’s the offer or audience? might be overkill for many

[Atishay @axtalks]

what happens when you send 100,000+ cold emails/day

(learn EVERYTHING you need to know in this article 👇)

[Atishay @axtalks]

https://t.co/zEciecK2fh

[Atishay @axtalks]

@0Venkata in noisy markets the only thing that matters is the offer

[Atishay @axtalks]

AI personalization is HURTING e-commerce cold email right now.

The pattern looks extremely beneficial:

1. Spend hours wiring up Clay
2. Pull every prospect's recent product launch and IG post
3. Generate a hyper-personalized first line per contact

The RESULT is counterintuitive, though:

• brand owners have seen the trick a thousand times.
• they know it is automated.
• you get ignored

This is why relevance has never been more important.

If you reach the right person on the right pain, you do not need to find something fancy to say.

[Atishay @axtalks]

@julesoutbound underrated af

[Atishay @axtalks]

@Shrey17299499 yes that’s a good start and should be enough to tell you if you’re going in the right direction

a lot depends on the industry as well

[Atishay @axtalks]

THE 4 TIERS OF COLD EMAIL:

Tier 1:

• ~100 emails per day.
• 100 emails per day.
• Engage every single prospect.

Tier 2:

• ~1,000 per day.
• Two-track strategy.
• Top accounts go hightouch.
• Everyone else gets segmented automation.

Tier 3:

• ~10,000 per day.
• The job is NOT copy.
• The job becomes testing.

Tier 4:

• 100,000+ per day.
• ESP segmentation
• Hourly testing
• Automated deliverability monitoring and proactive repair.

The game changes as you do.