Cold Email & Deliverability | Growth | Partner @ Vinna.ai

If you're interested in improving your cold emails, you've come to the right place.

I’ve worked with clients like Discord, HP, Jellysmack, L'Oréal Paris, Fourthwall, Creative Juice, PearPop, and many more — sending over 60 million cold emails across different industries.

I combine cold email and outbound GTM expertise with AI solutions, smart automation, and deliverability optimization to help businesses scale their outreach and consistently book meetings.

My passion is sharing the knowledge I’ve gained from 5+ years in outbound sales, lead generation, and email deliverability with businesses and individuals who want to get the most out of their cold emailing process.

If you think there’s any way we can help each other, feel free to DM me!

Jovan Shojlevski

How most cold emailers clean their lead lists:

1. Export their contact list
2. Upload it to a verification tool
3. Wait
4. Download the results
5. Re-import the clean list
6. Suppress the bounces

That's 2+ hours per week.

8 hours per month.

Almost 100 hours per year.

On something that should take 0 minutes.

And don't get me started if you do crazy sales volume.

I switched to Bouncer AutoClean since it came out.

It: 

1. Connects to your CRM.
2. Verifies new contacts every hour.
3. Reverifies existing ones automatically.
4. Suppresses undeliverable emails on its own.

I haven't touched a verification CSV since.

And my bounce rate has been as low as ever.

Automate the boring stuff.

Spend your time on what actually makes you money.

Landing 1.2M+ cold emails/month in the inbox at Grow Surely

I check 6 things before sending any sales email campaign.

(Skipping even one can destroy your deliverability)

1. DNS setup → MxToolBox

SPF, DKIM, DMARC must be perfect.

If anything is in red, I let the domain warm up for longer.

No exceptions.

2. Domain reputation → Cisco Talos

If a domain's reputation isn't perfect, nothing is sent from it.

3. Email verification → Bouncer

Every email gets verified before it touches a campaign.

It also identifies spam traps, breached addresses, and complainers.

Invalid/untrusted emails = bounces = reputation damage.

4. Copy readability → Hemingway Editor

Grade 7 reading level or below.

If a 14-year-old can't understand it, simplify it.

5. Mailbox warm-up → Instantly.ai

Every mailbox needs at least 14 days of warm up.

I also always leave backup inboxes to warm up for longer.

6. Sequencing → Instantly.ai

Randomized times. Random intervals.

Predictable patterns trigger spam filters.

That's it.

6 checks. <15 minutes. Every campaign.

I track a metric that most cold emailers ignore.

It's not reply rate.

It's not open rate.

It's lead-to-valid-email rate.

Here's what I mean:

You build a list of 1,000 leads.

You run them through an email finder.

Only 400 come back with valid emails.

That's a 40% lead-to-valid-email rate.

Which means 60% of your research was wasted.

I used to deal with this every week.

Hours spent building lists.

Half the leads had no usable contact info.

It was the most frustrating bottleneck in my workflow.

Then I switched how I source leads.

I start with Prospeo.io 

And it's not just for enrichment.

But for the entire list build.

Here's why it changes everything:

→ 280M+ contacts with pre-verified emails
→ I filter by ICP before I ever export
→ Every email is verified at the source
→ My lead-to-valid-email rate went from 40% to 90%+

That means from 1,000 leads, I get 900+ valid emails.

Not 400.

Same effort. More than double the output.

Here's what that looks like in practice:
Old workflow:

→ Scrape leads from 3 different tools
→ Cross-reference in Clay
→ Run emails through a verifier
→ Lose 50-60% of the list
→ 4 hours of work for 400 usable leads

New workflow:

→ Build the list directly in Prospeo
→ Enrich for personalization
→ Push to Instantly.ai
→ few minutes for 900+ usable leads

The best campaigns don't start with better copy.

They start with better data.

If you're losing half your list before you even send, fix the source.

Founder at Allbound OS | Scale Revenue with AI GTM Workflows & Sales Tools

Hey, I am Can.

For brand partnerships on Linkedin: can@allbound-os.com

I help B2B companies and Founders:

☑ Get outbound leads on autopilot.
☑ Build GTM workflows that increase your pipeline.
☑ Help you get warm leads through Linkedin content.
☑ Build AI outbound workflows that scale your revenue.
☑ Choose the right sales tech stack without breaking the bank.

Without hiring expensive 5+ SDRs.

If you are:

- Founder
- SDR
- BDR
- Account executive
- Sales leader
- Growth marketer

What I can do for you:

1. Build outbound system

↳ Sales tech stack/tools
↳ Email infrastructure
↳ Build lead list
↳ Offer
↳ Lead magnet
↳ Sales copy
↳ Automate prospecting
↳ Leverage AI to maximize outbound success

2. Build inbound system

↳ Create Linkedin contents that match your ICP
↳ Setup newsletter and email marketing system

That's why I call it "Allbound OS".

And yes, you are in the right place.

Want to learn how I can scale your business using AI & GTM workflows?

→ Feel free to DM me or send me an email: can@allbound-os.com

Can Timağur

I found 30k lookalike companies in minutes.

The secret?

AI Ark's lookalike company search feature.

Here's the problem most people face:

You have a perfect fit company.

But you need 2-3x more just like them.

Manual research takes forever. And you're still guessing.

There's a faster way.

- Go to company search in AI Ark.
- Type in one of your ideal customer companies.
- Click "lookalike" instead of adding it to your list.
- Hit "find similarity."

AI Ark finds companies that are similar to your ideal customers.

I used this for my agency and one of my clients.

Then AI Ark found me 30k similar companies in minutes.

The list quality was exceptional.

Why? I let the data do the work instead of guessing.

This is how you build targeted lists at scale.

Elias did a great job on this product. Well done, team!

Pipeline. Engineered. | Founder @ Allbound OS, AI-Native GTM Agency

Something people don't realize about cold email infrastructure:

Most get the setup completely wrong.

See, I talk to founders daily who proudly tell me.

They've got 3 inboxes per domain, each sending 25 emails a day.

And I have to break the news:

That's a red flag to every spam filter out there.

Here's what they miss:

No real company operates like that.

Think about it.

What legitimate business has exactly 3 employees hammering out 25 cold emails each, every single day?

It screams automation. It screams spam operation.

But 49 employees sending 1-3 emails daily?

That's how actual companies work.

That's the pattern ISPs expect to see from real organizations.

So before you scale your outbound, ask yourself this:

Does your setup look like a genuine enterprise, or does it look like what it actually is?

Because the filters already know the difference.

And your deliverability depends on getting this right.

This tool is Microsoft infrastructure, and I am always diversifying my cold email infrastructure.

The outcome?

Quick sales. Real profitability.

Most services give you access and disappear. Slicey stayed dedicated to our success.

If you need cold email that actually works, I'd recommend them without hesitation.

Pipeline. Engineered. | Founder @ Allbound OS, AI GTM Agency

I've never understood why teams pay thousands for traffic data that shows "No Data" on B2B sites.

Similarweb, Semrush, Ahrefs. They all share the same flaw.

Low or zero results for the exact B2B domains you care about.

There is a better source now, and it costs a fraction. Gemini 3 Flash.

Here is why it works:

1. Google's pixel (Global Site Tag) sits on 40M+ business websites
2. It fills the gap where competitors fail, sites under 5K to 10K visits
3. It knows search volume, click-through rates, and real site landings
4. That covers over 60% of B2B sites globally, 80%+ in the US
5. Gemini is trained on Google's actual anonymized datasets

And visitation traffic is just the starting point.

You can pull:

- Country-level traffic concentration
- Branded vs non-branded search splits
- Seasonality and MoM or QoQ momentum
- Conversion intent signals based on query patterns
- Channel mix estimates (search vs direct vs referral)

These are the signals GTM teams always wish they had when qualifying accounts.

Spin up DiscoLike, drop a prompt into DiscoGen, and enrich your lists at $2 per 1K records.

That is an easy benchmark against whatever you are running today in Clay, for lesser data.

So think about that. It matters.

Most lead databases charge you for contacts that don't exist.

Bad data doesn't just waste your budget.

Bad data wastes your time, your team's energy, and your reputation.

One of my lead data sources is A-Leads.

Because I believe great lead data sourcing should look like:

1. Verified contact details before they ever reach your inbox
2. Enriched profiles so your outreach is relevant and personal
3. Real-time data, not scraped lists from six months ago
4. Zero charges for leads that don't meet verification criteria
5. A strict accuracy standard that filters out the noise
6. Full transparency on what you're paying for

If valid contact information can't be found, chances are no one else will find it either.  

That's the honest truth most providers won't tell you.

You should never pay for incomplete or unverified leads.

Period.

The quality of your pipeline starts with the quality of your data.

And the quality of your data starts with holding your sources to a higher standard.

So think about that before your next outreach campaign. It matters.

Repost this if you believe accuracy should come before volume.

taplio

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The Battle

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