🦾Eric Nowoslawski

Founder Growth Engine X | Clay Enterprise Partner

I am a direct response outbound lead generation expert. And by that jumble of words, I mean that I leverage cold email to build predictable revenue pipelines for my clients. 

I leverage over 20 databases to merge Firmographic, Technographic, and Persona data to build highly targeted playbooks with my clients. 

I believe we need to arm sales teams with the knowledge of their total Target Addressable Market and teach them how to score that Market for which companies have the most pain and need their solution. 

The best way to do this is to look at public indicators such as open jobs data, employee growth/attrition, social media growth, web traffic, new product launches, employee sentiment, individual employee tech investment, company tech stacks, etc.

With this data, not only are you only messaging with people that you know have a problem that you can solve, you also are armed  with powerful messaging that cuts through the noise. 

I teach sales teams to embrace technology and multiply what is possible per employee.

Founder

There is actually a limit to cold email reply rates.

Knowing this can hopefully free you from testing things that won't matter.

Let me explain.

I have worked with customers in the past that are obsessed with getting the reply rate as high as possible. They think if they send a good enough email, every single person who could possibly see it is going to respond.

We've run tests that show this just isn't the case.

We had the opportunity to work on behalf of Forbes at Web Summit. We had the list of speakers. We had all their emails. We cold emailed them from infrastructure that had warmed up for four months. The pitch was simple: "This is our booth. We want to interview you for Forbes. Book a meeting." And we sent them a link to Forbes.com.

That only got a 30% reply rate. Basically all positive.

When I say "only" 30% — if I were a speaker at an event and Forbes wanted to interview me, I would think the reply rate would be even higher than that.

We also helped a customer email their own customers. We found data that showed they needed a new product, and we could fix the problem for free.

Still only a 10% reply rate.

I say all this because these two examples are pretty undeniably good offers. And they still did not get 40, 50, 60% reply rates.

When you're sending emails, there are so many reasons why somebody doesn't respond. They didn't even see it. It got mixed up with everything else in their inbox. It's just not the right time for them.

When you've run a couple of experiments and the reply rate is staying pretty steady, I would think more about experiments around lists and experiments around offers versus trying to change the copy to see if an AI personalization or a fancier way of saying something is going to move the needle.

List segmentation and changing your offer matter way more.

What experiments have you run that changed your thinking on reply rates?

Mohan ‎Muthoo 💬 🇬🇧 🌍

Founder @ Spring Drive | Driving Growth for B2B SaaS/AI | Multi-Award Nominated | 4th Ever Official UK Clay Expert | 👉 springdrive.co

Hey there 👋 I'm the Founder at Spring Drive - we drive growth with GTM Engineering, AI & Outbound for B2B SaaS and AI companies.

This means:

- Running Scaled Outbound Campaigns (Email + LinkedIn) with GTM Engineered data
- PLG Self-Serve Motions to drive signs that turn to paying users
- Cold calling with GTM Engineered Signals and Intelligence

🛠️We've worked with B2B across industries, Y-Combinator backed startups, globally recognized SaaS brands featured in Forbes and the Apple Store, B2B ecommerce companies, and everything in between.

We have a ton of case studies and accolades, having been nominated twice for our work (Finalist in the Standout Use of AI category at the UK Digital Excellence Awards, and for the GTM10 Awards), plus been recognized as Official Expert Partners by numerous top companies in GTM and Outbound.

Head to 👉 springdrive.co ORDM me, I will reply 💬

Mohan ‎Muthoo 🇬🇧

Booking $13 billion company Grammarly for a client at Spring Drive.

Cold outbound.


We spend most of our time with clients on competitive differentiation, not automation (we do that too, its just not the point lol).

That's why we *resonate* for them with prospects, rather than saying the same thing as everyone else.

And actually generate meaningful pipeline.

Not...

"Just saw your got funded, here at Generic .ai we're flipping the script on..."


Only Becc Holland can flip the script (she is brilliant btw check her stuff out).


For everyone else there's Spring Drive.

Actually there's a few other great agencies too, not just us.

But if you do want to work with us, you can apply for a pilot at springdrive.co.


Or don't, do whatever you wanna do.

Mohan Muthoo

Getting replies like this reminds us that we're putting out strong positions for our clients at Spring Drive.


Especially knowing the end stats add up too (getting 20-30 leads a day for this client).

But again, its a reminder that most saturation is around messaging not channels.

Before you move on to another channel, ask someone who works on your channel for a living what they think of your campaign.

8/10 times, mistakes are being made that, if corrected, would well actually start reaping success.


Cold email is just another channel and everyone reads their emails.

Don't forget it.

Something I've been noticing more and more lately - the teams that are crushing outbound aren't necessarily better at writing emails or picking better leads.

They're just better at operating.

They've figured out how to monitor campaigns, swap what's not working, keep mailboxes healthy, and follow up at the right time, without it eating their entire day.

That's partly why what Smartlead just released with SmartAgents caught my attention.

I've been playing around with it and there are a few things that stood out:

1. There's a campaign optimizer agent that monitors all my active campaigns every 6 hours. If reply rates dip below 4% after enough sends, it swaps out underperforming mailboxes, and shifts send times.

2. A mailbox health agent that tracks domain health, figures out when I need new ones, buys them from SmartSender, and sets up warmup. 

3. A meeting booking agent that catches intent in replies, books through Calendly, drops prep notes into HubSpot, and pings me on Slack. That whole flow used to be 4-5 manual steps.

What I like is how you build them too. no code, no complex workflow builders. You describe what you want the agent to do in plain language and it deploys. That matters for teams that don't have a technical ops person.

You still need to review, tweak, and make the actual decisions. But the repetitive operational stuff that eats up a few hours a day? That's where these are useful.

Worth looking at if you're running any kind of volume:

https://lnkd.in/ern_wwSJ

taplio

The Battle

🦾Eric Nowoslawski

Mohan ‎Muthoo 🇬🇧

Followers

Posts

Engagements

Likes

Performance Score🦾Eric Nowoslawski's LinkedIn Performance

Performance ScoreMohan ‎Muthoo 🇬🇧's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

🦾Eric Nowoslawski

Mohan ‎Muthoo 🇬🇧

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}🦾Eric Nowoslawski's LinkedIn Performance

Performance ScoreMohan ‎Muthoo 🇬🇧's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance Score🦾Eric Nowoslawski's LinkedIn Performance