Marketing & Lead Gen: cold email in europe gets 4-5x more replies

Watch on YouTube: https://www.youtube.com/watch?v=Rfg9rqu7AMc

Channel: Nick Saraev Daily

Introduction

Nick Saraev’s recent video explains why cold‑email outreach that is tailored to European markets can generate substantially higher reply rates than similar campaigns run in the United States. He frames the tactic as a high‑value, low‑risk channel when the messages are genuinely helpful and professionally presented.

What the video covers

• The claim that localized EU cold email can yield 4‑5× more replies than US‑focused outreach.
• The importance of high‑quality, custom icebreakers and why generic AI‑generated lines often fail.
• A practical workflow for scaling personalization: start with manual icebreakers for a small seed set, let AI detect patterns, then automate the rest.
• Specific tools Nick mentions for automating and refining the process.
• His own business metrics (revenue, YouTube growth, video view spikes) as context for why he is experimenting with this approach.
• Operational tips such as using a professional domain, staying within EU‑friendly compliance, and measuring results.

Step‑by‑step walkthrough

• Identify target EU countries – Nick highlights Germany, Spain, and the Netherlands as examples where decision‑makers are reportedly receptive to well‑crafted cold mail.
• Gather a small seed list – Choose the first 5‑10 leads you intend to contact.
• Manually craft icebreakers – Write a personalized opening line for each seed lead that references a specific detail (e.g., a recent project, a shared interest, or a local event). The video stresses that these must be high‑quality and offer clear value.
• Let AI analyze the manual icebreakers – Feed the handwritten lines into a tool such as Claude Code or an AI agent. The model extracts the underlying pattern (tone, structure, value proposition).
• Generate variations for the rest of the list – Use the AI to produce icebreakers for the remaining prospects, ensuring each output follows the discovered pattern while still being tailored to the individual lead’s data.
• Set up the sending infrastructure – Purchase or configure a professional domain (avoid Gmail) to improve credibility and reduce spam‑filter risk.
• Launch the campaign – Send the emails, tracking opens, replies, and any downstream conversions.
• Measure and iterate – Review reply rates, test alternative subject lines, tweak icebreakers, and adjust offers based on what the data shows.

Tools and numbers mentioned

• Revenue claim: over $400 k per month.
• Reply‑rate uplift: 4‑5× higher in the EU compared with US‑focused cold email.
• YouTube growth: ~1,000 new subscribers per day, rebounding to a 2,000‑subscriber‑per‑day level after slower periods.
• Historical reference: previously ~600 k subscribers per day (as noted in the video’s metrics).
• Growth descriptors: 4× growth, 8× peak (referring to subscriber or view increases).
• Recent video view spikes: ~500 k views in 48 hours, with individual examples of 92 k, 84 k, and 1.25 M views.
• Tools for personalization: Claude Code, AI agents, Opus 5.5.
• Other platforms referenced for context: Marketplace, Kijiji, Craigslist (mentioned as examples of where cold outreach can be applied).

Caveats and hype check

The video presents several impressive figures without providing screenshots or third‑party validation. The $400 k monthly revenue statement, the rapid subscriber jumps, and the half‑million‑view spikes are described as anecdotal. Likewise, the 4‑5× reply‑rate improvement for EU cold email is offered as a confident expectation but lacks cited split‑test data or external studies. Viewers should treat these numbers as illustrative rather than proven benchmarks and consider running their own small‑scale tests before committing significant resources.

“Cold email is a lot like crossing the zebra crossing.”

“If you send truly high‑quality, custom‑made cold emails that offer value… you are almost certainly on the right track.”

“Germany, Spain… many of these other EU countries are desperate for cold mail right now.”

“It is a sign of professionalism. Take care of your own domain.”

“You have to do that [hyper‑personalize]. And you need to use AI to help you with that.”

Concrete next actions

• Select a target EU country (e.g., Germany, Spain, Netherlands) and build a list of 50‑100 prospects.
• For the first 5‑10 leads, write a custom icebreaker that references a specific, verifiable detail about the recipient or their company.
• Export those icebreakers into a text file and run them through Claude Code (or a comparable AI agent) to ask the model to identify the underlying pattern.
• Prompt the AI to generate icebreaker variations for the remaining leads, ensuring each output retains the pattern while staying personalized.
• Set up a sending address on a professional domain you own; avoid free‑mail services like Gmail.
• Launch the email sequence, using a mail‑merge or outreach tool that allows you to track opens and replies.
• After 48‑72 hours, review reply rates. If they fall short of expectations, test alternative subject lines, tweak the value proposition, or refine the AI‑generated lines.
• Document the results and decide whether to scale the campaign to additional countries or larger lists based on the data you collect.
• Periodically revisit compliance: ensure each email contains a clear opt‑out option and that the content is genuinely helpful rather than purely promotional, to stay within EU‑friendly guidelines.