C17 Lab

Head of GTM Engineering

Building out outbound plays for enterprise clients

Strategic GTM

Clay

Enterprise Partner

Monthly Unlimited Flows for Fixed retainer

Clay Certified Expert 

Unlimited Custom clay workflows for you for a fixed monthly price

24-72 hours delivery, one request at a time.

Free 3000 Credits - 

https://clay.com/?via=6f1999

Clay Creator

Instantly.ai

Certified Instantly Expert

Smartlead

Smartlead Certified Experts

Maildoso

Advisor

Persana AI

Monthly Flows on a fixed price


https://persana.ai/pros/utkarsh-rana

Persana Pro

Adyhere.com

Helping B2B SaaS Companies and Agencies Generate Leads while they sleep via AI-Powered Inbound + Outbound

If you are not from one of the above industries no issues, you just need to be a B2B business.

We do all the heavy lifting, you just attend the meetings!

$200,000+ in REV & $1M+ Pipeline generated for B2B clients via outbound

Website - https://www.adyhere.com/
Email - utkarsh.rana@adyhere.com

Founder

I help B2B SaaS Companies and Agencies Generate Leads while they sleep
$200,000+ in REV & $1M+ Pipeline generated for B2B clients

Unlimited Custom clay workflows for you at $2000/Month

I set content systems that:
-> Builds audience
-> Engage with them while heating their buying intent 
-> Converting warm leads with a high closing rate as the content did most of the work.

Then I use data from over 100+ sources to create smart strategies that find the right prospects. 

This helps your sales team connect with people who are looking for you.

Here’s what I do:
Build Content systems that build an audience
Build targeted lead lists
Set up and warm up inboxes
Write personalized emails & DMs
Manage full campaigns


The aim is to test 
OFFER-MARKET-FIT
TARGET TESTING
MESSAGE-MARKET FIT
PRODUCT-UNTAPPED MARKET FIT


--
If you're a B2B company that wants more demos/sales calls, go to https://www.adyhere.com/

After sending 1.91M Emails in a month with 3300 Leads (0.18% Conv) at C17 Lab,

I often wondered - What could double my meetings?
.
.

If you’ve ever felt that way, you’re not alone.
Global Analytics in Smartlead just dropped its biggest upgrade yet—and it’s built to make your life 10x easier.

Here’s how to finally get ROI from your outreach data without needing a PhD in spreadsheets:

Step 1 → Agency Insights
No more juggling client reports and CSVs. You can get a clear view of:

 - Leads Contacted
 - Emails Sent / Opened / Replied
 - Positive Replies & Bounces

You can also track Total Active Clients month-on-month. Spot which client is trending up or slipping, and view their stats with one click.

Step 2 → Performance Metrics
See exactly what’s moving the needle:

 - Engagement (sent, replies, positives, bounces)
 - Lead stats (follow-ups vs new)
 - Campaign statuses (active, paused, completed)
 - Mailbox health (connected, disconnected, missing warmup)
 - The Email Providers Performance Overview shows which provider is dragging down deliverability. Sort by open, reply, or bounce rates and fix fast.

Step 3 → Filters That Work
 - Forget static reports. Now you can:
 - Analyze up to 365 days (old limit was 31)
 - Track unlimited campaigns & clients
 - Filter by campaign status
 - Segment replies by sentiment
 - Sort ascending/descending
 - Drill down with ESP-level filters

Step 4 → Team & Campaigns
See who’s delivering with the Teamboard. Review sentiment analysis across replies and download campaign reports as CSV in seconds.

Step 5 → Real-Time Tracking
No more waiting for weekly reports. Spot problems or wins as they happen. Pause underperformers before they waste budget and scale what’s working.

Most are built for data scientists, not GTM leaders hitting targets. Smartlead's Global Analytics is the first dashboard where every metric leads to action - not confusion.

Utkarsh  Rana 🧲

JSESSIONID

li_at

Head of GTMs @ C17 Lab | Top Clay Enterprise Partner • Sales Tech & Revenue Systems Optimization •

One of the best AND Simplest workflows that we have at C17 Lab
.
.
Enriching Positive replies from Smartlead 

Everytime we have a positive reply, it is being sent to our OS built by Stimuli  (Shout out to Revaz Dzidziguri, Nika Urchadze, Sergi Cheishvili)

From there, it goes to Clay, where we enrich every possible data point.

We then update the lead sheet for callers and sync it with their dialer so they can call leads and book meetings.

GTM was never about using 100+ tools at once - it has always been about making complex things simple,

And solving the problems that have the biggest impact.

What the top 0.1% GTM engineers do differently
From a GTM agency (C17 Lab) running 12M enrichments per week in Clay.

1) Formulas first.
 If a task can be solved deterministically, we use formulas—no AI at all. Enrichment, validation, and cleanup (domains, titles, country codes, UTMs) happen faster, cheaper, and with zero hallucinations.

2) HTTP APIs over missing integrations.
If a tool isn’t connected to Clay, we wire it via HTTP API webhooks
E.g., Serper (search signals), MillionVerifier (email verification), RapidAPI (other API). 

No waiting on feature requests.

3) One AI task per ClayAgent column.
Never multitask AI. 
If you’re writing a line off a funding signal:

AI column A: extract funding data/date.
AI column B: write the outreach line.

Precision > generic, every time.

4) Normalize, then refine company names.
First, use Clay’s free enrichment to standardize the company name. 

Then, a separate AI column to shorten/normalize only if the name is 3+ words. Context first; styling second.

Serper

MillionVerifier

What happens if the tools you’re using are not available in Clay?
(My mic had issues while recording)
.
.
.

So far, I’ve built 10+ custom waterfalls at C17 Lab.

 We’re currently on V6 (each version has 2 sub-versions).

🔧 Tools in use:
 ➡️ Enrichment: Prospeo.io, Icypeas, LeadMagic
 ➡️ Validation: MillionVerifier + BounceBan (Verify risky emails without sending messages)

🧪 Email Verification Setup:
 1️⃣ MillionVerifier → General validation
 2️⃣ BounceBan → Catch-all validation

♻️ De-duplication Rule:
 ➡️ If the same email is returned by multiple tools (Prospeo, Icypeas, LeadMagic)
 ➡️ Already marked invalid/undeliverable → Do not re-verify
 ➡️ Saves credits & prevents unnecessary usage

🏷️ Tagging System:
 ➡️ Provider: Tool that enriched the email (Prospeo, ICP, LeadMagic)
 ➡️ Verifier: Tool that validated it (MillionVerifier, BounceBan)

So there’s a “Provider” Column that tells us that an email was given by Icypeas and Validated by Million

📩 Apollo emails:
 1️⃣ First Enrich emails via the waterfall enrichment
 2️⃣ If no other email is found → fallback to verifying Apollo/CSV emails


🌐 ESP Detection:
 ➡️ Use EmailGuard  API Call to fetch ESP

🚀 Campaign Execution:
 ➡️ Launch campaigns in Smartlead
 ➡️ Split by ESP → Outlook vs. other ESPs for better deliverability

Prospeo.io

Icypeas

LeadMagic

BounceBan (Verify risky emails without sending messages)

EmailGuard

I still remember my first week at FirstCry.
Headset on. 12-hour shifts. A nonstop stream of complaints.
I was 19 — a support agent with zero tech or sales experience.

All I knew was how to stay calm when customer yelled.
That’s where it started.

No one tells you the best sales skill is listening to people who want to hang up on you.

Fast forward: Head of GTM at C17 Lab.

Really really really grateful to Enzo Carasso 🧲 for trusting me when no one did 
And Harvey Le 🧲, Harkin Randhawa & Raden Tyo 🧲 who opened up and accepted me as a team member when I joined C17 Lab.

Last month, my team sent 1.7 million personalized emails in 4 weeks.

For Alex Hormozi.

Every inbox protected. Every campaign measured.

The goal:
 → 1.7M emails in a month
 → Real personalization
 → Zero deliverability issues
 → Thousands of leads for $100M Money Models

Most said it was impossible. We built it anyway.

What we learned:
 → Data makes personalization scale
 → Deliverability is a war, not a battle
 → Metrics never sleep

Result: 6,000 leads.

I started in a cubicle - no playbook, just failure, curiosity, and grit.
 
You don’t skip the grind. You learn to outlast it.

I broke it all down with Saurav G. on his podcast - outbound, GTM, and the story behind the campaign.

Links:
https://lnkd.in/gFxVzBDb

https://lnkd.in/gFjBcJ9b

Curious how you’d tackle something like this? 👇

Founder @ C17 Lab | We Engineer Unstoppable Pipelines | c17.ai

Head of Customer Success, C17 Lab | Helping B2B Businesses Get More Leads | Top Clay & Smartlead Enterprise Partner • Sales Tech & Revenue Outbound Optimizations | Scale Your Pipeline 👉 C17.ai

AI GTM Manager @ MaintainX | Top Clay Partner • Engineering World Class Revenue Systems

GTM Engineer, C17 Lab | Top Clay & Smartlead Enterprise Partner • Sales Tech & Revenue Outbound Optimizations

Founder Acquisition.com, Co-Founder Skool.com. My new book $100M Money Models is out. [3.6M copies sold] Get yours now.👇

Book 10-30 B2B meetings every month just via LinkedIn messaging | Chief Social Selling Evangelist at SalesRobot

Here’s the exact 4step process we use at C17 Lab to audit and fix inbox placement for enterprise outbound:
.
.

Split Mailboxes into Two Buckets
→ Outlook mailboxes
→ NonOutlook ESPs (think Gmail, Zoho, etc)

Why split?
Because Outlook domains are a different beast altogether.
They have their own set of rules, and landmines.
You treat them like any other ESP, you lose.

Segment Each Bucket by Health:
Not all mailboxes are created equal.
We break them down further:

→ 100% health (pristine, no red flags but still needs to be tested)
→ 97 to 99% health (minor issues, watch closely)
→ Below 96% health (danger zone)

How do you know the health?
Look for bounce rates, spam complaints, and engagement history.
If a mailbox is below 96%, don’t kid yourself - it’s working against you, not for you.
Run Real Inbox Placement Tests (Not Just Open Rates)


We use EmailGuard (or similar tools) to:
→ Send test emails from each mailbox
→ Track where the email lands (Primary, Promotions, Updates, Spam)
→ Log the results for each mailbox and group

You’ll spot patterns fast.
Outlook mailboxes almost always have more issues.
Promotions tab and spam folder are their favorite destinations.
Take Ruthless Action, Group by Group

Here’s what to do with the results:
→ 100% health: Keep using, but monitor weekly.

→ 97 - 99% health: Investigate minor issues, rotate in and out.

→ Below 96% health: Replace, warm up new mailboxes, or attempt recovery (with strict monitoring).

For Outlook, accept the reality - you’ll lose more mailboxes here than anywhere else.
Rotate aggressively.
Keep spares ready.
Repeat, Improve, Never Assume

Deliverability isn’t a onetime project.
It’s a living system.
Run these tests every week.
Update your process every month.
Never trust a mailbox just because it worked last month.


--
I have a newsletter! - https://lnkd.in/gUcsvPvF

If you're a B2B companies based in US 
Then we'll give you 5000 leads + GTM System to test yourself on the house,
For more info go to - https://c17.ai/

Still dialing like it’s 2018?
Here's how C17 Lab are getting their calendars filled up.
.
.
I see a lot of post about validating phone numbers,
But the only real way to validate a phone number? 
Actually call it.

At C17 Lab, we stopped wasting time guessing.
 
We dial.
We learn.
We win.

Here’s how we booked 36 meetings in 3 days for a client when most teams would be thrilled with 3:

We built our own custom phone waterfall using BetterContact by Roman Hipp:
 → No, we don’t rely on static lists.
 → Our system lives and breathes, updating in real time.

We don’t treat every lead the same:
 → Warm leads, those who replied to cold emails, get pushed through our OS.
 → Clay enriches every detail about them.
 → Our callers get everything they need, right before the dial.Cold list?
 → It’s not just a numbers game.
 → We handpick every lead, curate the ICP, and BetterContact enriches the numbers.

Ring, ring.
 → 24,000 dials.
 → 10% connection rate.
 → Over 400 real conversations.
 → 36 meetings.

Let’s talk about what you’re doing wrong:
You’re validating numbers in a spreadsheet, not in reality.
You’re treating every lead the same.
You’re guessing, not enriching.

You’re stuck optimizing open rates instead of conversations.

Here’s what works in 2025:
 → Actual conversations.
 → Realtime enrichment.
 → Segmentation that’s ruthless, not random.
 → Systems that close feedback loops in hours, not days.

Most teams are terrified of the phones.

They hide behind email, hoping for a lucky break.

We dial.
We get told no.
We keep dialing.
And the yeses add up.

You can’t automate your way out of rejection.

But you can outexecute with the right process.

If your team is still “validating” numbers in 10 tabs, you’re already behind.

Taplio

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