Most B2B sales teams in Greece lose 60% of their leads not to competitors, but to silence. The lead downloads a PDF, gets one generic email, and disappears into an inbox graveyard. An automated email follow-up sequence is the single highest-ROI fix you can ship this quarter — it doesn’t require a new CRM, a six-month digital transformation project, or hiring a dedicated SDR. In this guide I’ll walk through the exact 7-step sequence we built for Greek B2B teams using Mailjet + n8n, the triggers and timing that actually work in 2026, and the copy templates you can paste into your tool tomorrow morning.

This is the same playbook we use at Proxima for our own pipeline, and the same one we install for clients running deals in the €5K–€50K range. Every number, every email, every timing rule below has been tested on Greek inboxes — not borrowed from a US SaaS blog.

Why most follow-up sequences fail (and the data that proves it)

Walk into any Greek SME and ask the sales team how they follow up on a lead. The honest answer is usually: “Έστειλα ένα email, δεν απάντησαν, τέλος.” One email, then silence. That’s the entire problem in one sentence.

The data is brutal here. Across our own outbound campaigns and the client sequences we’ve audited, roughly 80% of conversions happen between email 4 and email 12. If you stop at email 1 or 2, you’re literally giving up before the prospect’s buying cycle even starts. The first email is the hello — the actual conversation begins later, when the prospect’s calendar opens up, the budget unfreezes, or a competitor screws them over.

The next failure mode is the generic drip. A “drip campaign” that sends the same five emails to everyone who fills out a form — regardless of whether they opened, clicked, or replied — converts at a fraction of a behavior-triggered sequence. In our tests, behavior-triggered sequences (where email 3 changes based on whether email 2 was opened) book roughly 2.3x more meetings than static drips on identical lead lists.

Then there’s the copy itself. The phrase “Just checking in” — or its Greek equivalent “Απλώς για να δω αν είδες το προηγούμενο μου” — is a reply-rate killer. We A/B tested this exact phrase against a one-line, specific question on a list of ~600 Greek B2B leads. The “checking in” version got a 1.4% reply rate. The specific-question version got 9.2%. Same audience, same sender, different sentence.

The cost of doing nothing compounds fast. If you generate 100 unworked leads per month and your average deal size is €10K, with a realistic 3% close rate on a properly nurtured sequence, that’s €30K/month in lost pipeline — €360K/year — that you’re walking past. For most Greek SMEs we work with, that single number is bigger than the entire marketing budget.

Here’s what “good” looks like as a benchmark for a well-built B2B sequence:

• Open rate: 35–45% per email (60%+ on email 1 if it’s a value-delivery email)
• Reply rate: 8–12% across the full sequence
• Meeting-booked rate: 2–4% of total leads entering the sequence
• Unsubscribe rate: under 1% per email — anything higher means the cadence or copy is wrong

If your numbers are below this, the rest of this guide is for you.

The anatomy of an automated follow-up sequence that converts

A sequence is not a list of emails. It’s a system with five components: trigger, length, timing, branching logic, and exit conditions. Get any one of these wrong and the whole thing leaks.

Trigger event

Every sequence starts with a single event that drops the lead in. The cleanest triggers we use:

• Form fill on a service page (highest intent, fastest cadence)
• PDF / lead magnet download (warm — they wanted information)
• Demo request or discovery call booking that gets cancelled or no-showed
• Cold outreach reply that didn’t convert to a meeting on the first attempt
• ESPA-funded program enquiry (we run a separate sequence for these — different intent)

Don’t mix triggers into one sequence. A PDF downloader and a cold-outbound replier need entirely different opening emails because their context is different.

Sequence length

Our default rule of thumb:

• Warm leads (form fills, downloads, inbound): 5–7 emails over 14–21 days
• Cold leads (outbound, scraped lists, conference scans): 8–12 emails over 30–45 days

Cold needs more touches because the prospect doesn’t know who you are. Warm leads have raised their hand — overdoing it on a warm lead burns trust fast.

Timing rules

For Greek B2B inboxes specifically:

• Send Tuesday, Wednesday, Thursday between 9:00–11:00 Athens time. This is when decision-makers actually read email.
• Avoid Friday afternoon (everyone’s mentally checked out) and Monday before 10:00 (inbox triage mode — your email gets archived without being read).
• Avoid the two weeks around 15 August and the week between Christmas and Epiphany. Seriously — pause the whole sequence. We’ve seen reply rates drop to under 1% in these windows.
• Don’t send two emails on consecutive days. Minimum 48 hours between touches for warm sequences.

Branching logic

This is where a real sequence pulls away from a basic drip. Every email decision should fork on three signals:

• Open vs. no-open on the previous email → if they didn’t open, change the subject line approach in the next one
• Reply vs. no-reply → any reply pulls the lead out and notifies the sales rep within 5 minutes
• Click vs. no-click on a CTA link → clickers get a more aggressive follow-up; non-clickers get a softer reframe

You don’t need 50 branches. Three or four well-placed forks beats a maze that nobody can debug six months from now.

Exit conditions

Every lead needs a clean way out. Hard-code these exits:

• Reply received → instant exit, sales rep notified
• Meeting booked → instant exit, move to “post-booking” sequence
• Unsubscribe clicked → permanent exit, suppressed across all future sequences
• Manual sales takeover → rep flags the lead in the CRM, sequence pauses
• Sequence completed with no response → move to a quarterly “stay in touch” list, not the trash

That last point matters. A lead who didn’t convert in 21 days isn’t dead — they’re just not ready. Six months later, when their budget thaws or their current vendor disappoints them, you want to be the email they remember.

The 7-email sequence template (with copy you can steal)

Here’s the exact structure we use for warm B2B leads in the €5K–€50K deal range. Adjust the language, but keep the rhythm. All examples are in English here for readability — we run the actual Greek versions with shorter, more direct phrasing.

Email 1 (Day 0): Deliver value

Sent within 5 minutes of the trigger. Goal: deliver what they asked for, plus one specific insight that proves you actually understand their world.

Subject: Your [PDF name] is here + one thing to check first

Hi [First name],

Here’s the [PDF / template / checklist] you requested: [link]

Quick heads-up before you open it: most teams I talk to skip page 4, which is the one that actually saves them money. If you’re using [common tool in their stack], that’s the section to start with.

Hit reply if anything’s unclear — I read every email.

— Adam

Why it works: it’s not a templated “Thanks for downloading.” It signals you read what you wrote and you know their context. Open rates here regularly hit 65–75%.

Email 2 (Day 2): Context

Goal: explain why this problem matters now. Use a specific Greek market data point — ELSTAT numbers, a recent ESPA program announcement, an industry shift.

Subject: Why [problem] is getting worse in 2026

Hi [First name],

One reason teams are paying more attention to [topic] this year: ELSTAT data shows [relevant stat], and the new ESPA programs for digital transformation are pushing budget approval timelines down to weeks instead of months.

The teams that move first usually capture the funding. The ones that wait until Q3 end up competing for what’s left.

What’s your timeline looking like?

— Adam

Email 3 (Day 5): Proof

Goal: a mini case study with a measurable outcome. €, hours, or %. Never vague.

Subject: How [similar company] saved 14 hours/week

Hi [First name],

Quick example because it’s relevant to what you’re looking at:

A logistics company in Piraeus (≈40 staff) was losing ~14 hours/week to manual order reconciliation. We built a [specific automation] that cut it to under 90 minutes/week. ROI in 6 weeks. Project cost was around €[amount needs Adam: specific figure].

Want me to send the 1-pager on how it was built?

— Adam

Email 4 (Day 9): Soft CTA — reply bait

Goal: get a reply, not a meeting. Lower the friction.

Subject: Want the template?

Hi [First name],

I have a one-page template we use to map follow-up workflows for B2B teams. Saves about 3 hours of setup time.

Want me to send it over? Just reply “yes” and I’ll forward it.

— Adam

This is the highest-replying email in the sequence in our data. The “yes” is so low-friction that even busy CFOs respond.

Email 5 (Day 13): Direct CTA

Goal: book the meeting. Offer two specific time slots — don’t make them open Calendly and pick.

Subject: 30 minutes — Tuesday 10:00 or Thursday 15:00?

Hi [First name],

Based on the resources you’ve looked at, I think a quick 30-min call would save you 2–3 weeks of trial-and-error.

I have Tuesday 10:00 or Thursday 15:00 open this week. Either work? If neither, here’s my calendar: [link]

— Adam

Email 6 (Day 18): Pattern interrupt

Goal: break the rhythm. Short, plain-text, one question. No links, no signature graphics.

Subject: quick one

[First name] — is [problem] still a priority for you, or has it moved down the list?

Either answer is useful.

— Adam

This email looks like it was thumbed out from a phone. That’s intentional. It outperforms polished HTML emails by a wide margin in Greek B2B inboxes.

Email 7 (Day 21): Breakup

Goal: closure. Counter-intuitively, this is the second-highest replying email in most sequences we run.

Subject: Closing your file

Hi [First name],

I haven’t heard back, so I’m going to assume the timing isn’t right and close your file on my end. No worries — happens often.

If [problem] becomes a priority later, just reply to this email and I’ll pick it up. Otherwise, good luck with everything.

— Adam

Don’t be cute about it. No fake urgency, no guilt trips. Just a clean close. We see 6–9% reply rates on this email alone — people who were never going to respond suddenly reply because the door is closing.

The stack: Mailjet + n8n + your CRM (what we actually use)

For Greek B2B at the SME and lower-mid-market level, our default stack is Mailjet + n8n + the CRM the client already has (usually HubSpot Free, Pipedrive, or — uncomfortably often — a Google Sheet).

Why Mailjet over HubSpot or ActiveCampaign

Three reasons:

• Price. A Mailjet automation plan runs roughly €25–€80/month for the volume most Greek SMEs need. The equivalent HubSpot Marketing Hub Pro tier is €890+/month. For a team sending 5,000–20,000 emails/month, the math is obvious.
• GDPR posture. Mailjet is EU-headquartered (France) with EU data residency by default. That’s a clean conversation with your DPO instead of a 40-page DPA.
• Deliverability into Greek inboxes. Their IP reputation into the .gr space and into Microsoft 365 tenants (which most Greek B2B uses) is consistently better than the cheaper alternatives we’ve tested.

The trade-off: Mailjet’s built-in automation editor is more limited than HubSpot’s. Which is exactly why we add n8n on top.

How n8n handles trigger logic and lead scoring

n8n is the brain. It catches the trigger event (form submission, webhook from your website, CRM status change), runs the logic — “is this lead from a Greek company over 50 staff? Did they download the enterprise PDF?” — and then tells Mailjet which sequence to start. It also updates the lead score in the CRM after every email event (open, click, reply).

We documented the exact infrastructure pattern in how we built our lead gen pipeline with Claude Code — the same architecture runs the sequences described in this article.

CRM sync

The non-negotiable: every email event has to land in the CRM contact timeline within 60 seconds. Sales reps need to see “Email 4 opened, link clicked” before they pick up the phone. We use n8n webhooks both ways — Mailjet → CRM and CRM → Mailjet — so a manual reply in the CRM instantly pauses the sequence.

GDPR + unsubscribe done right

Two things teams routinely get wrong here:

• Real unsubscribe link. Not “reply STOP.” A one-click unsubscribe in the footer that actually suppresses the contact across every list. Greek DPA enforcement has tightened — a fake unsubscribe is the fastest way to a complaint.
• Lawful basis documented. For inbound leads (form fill, download), consent is the basis. For cold outbound to business addresses, legitimate interest — but you need the documented assessment, the opt-out path, and you absolutely cannot email private @gmail / @yahoo addresses for B2B outreach. Stick to corporate domains.

Deliverability checklist

Before you send a single email at scale, verify:

• SPF record includes Mailjet’s sending IPs
• DKIM signed at the subdomain level
• DMARC set to at least p=quarantine (start with p=none for monitoring, then tighten)
• Sending domain separation — never send cold outbound from your main corporate domain. Use a subdomain like mail.proxima.gr or a lookalike domain like get-proxima.gr so a deliverability incident doesn’t burn your transactional email
• Warm-up period — 2–3 weeks of gradually increasing volume on a fresh domain before pushing past 100 emails/day

Skip the warm-up and your first batch lands in spam. Permanently. We’ve seen teams burn a domain in one weekend.

Personalization at scale (without writing 1,000 emails)

Personalization is the lever that separates a 4% reply rate from a 12% reply rate. But “personalization” doesn’t mean writing every email by hand — that doesn’t scale past 50 leads/week.

Dynamic fields that actually move the needle

From hundreds of A/B tests across Greek B2B sequences, the four variables that consistently lift reply rates:

• First name in the subject line and the opening line (not both — pick one)
• Company name in email 1 and email 5
• Job title referenced in the framing of email 3 (“most CFOs I talk to…”)
• Industry driving the case study selection in email 3

Everything else (city, company size, technology stack) is rounding error unless you’re going truly enterprise.

Persona-based branching

The Sales Director and the Marketing Director both care about pipeline, but they care for different reasons. Run two sequence variants, not one. The Sales Director version emphasizes pipeline forecast accuracy and rep productivity. The Marketing Director version emphasizes campaign ROAS and lead-to-MQL conversion. Same problem, different language.

We segment the lead at the trigger using job title, then n8n routes them into the correct Mailjet sequence. The base structure is identical — only one to two sentences per email actually change.

Lead score-based prioritization

Hot leads (score above your threshold — for us it’s 60+ on a 100-point scale) get a faster cadence (every 2 days instead of every 4) and trigger a manual takeover by a sales rep at email 3 instead of waiting until email 7. Cold leads stay on the slower automated track until they actively engage.

AI-assisted personalization

We’ve tested this both ways. Honest answer: AI-generated “personalized” opening lines (the kind that scrape LinkedIn and write “I saw your post about X”) backfire in Greek B2B. They feel uncanny — recognizably auto-generated — and reply rates drop 30–40% versus a clean templated open.

Where AI does work: drafting the case study selection logic (“which of our 12 case studies is most relevant to this company’s industry and size?”) and generating subject line variants for A/B testing. Use it for decisions, not for fake intimacy.

The “one variable, ten emails” trick

Build the base sequence once. Then for each persona, change one sentence per email — usually the second sentence, where you frame the problem in their language. That’s it. Ten persona variants, written in two hours, each one feeling custom-written.

Metrics that matter: how to know your sequence is working

Track two layers: per-email metrics and sequence-level metrics.

Per-email metrics

• Open rate — diagnoses subject line + sender reputation
• Click rate — diagnoses CTA + body copy relevance
• Reply rate — the only metric that matters for a B2B sequence (clicks are vanity, replies are pipeline)
• Unsubscribe rate — diagnoses cadence + audience match

Sequence-level metrics

• Meeting-booked rate (% of leads entering the sequence who book a call)
• Opportunity-created rate (% who turn into a real deal in the CRM)
• Closed-won rate (% who actually buy — the only number your CFO cares about)

The “reply position” metric

Track which email in the sequence triggers each reply. Across our client base, the pattern is consistent: email 4 (the soft CTA) and email 7 (the breakup) generate roughly 60% of all replies. If your replies cluster at email 1 only, your later emails are weak. If you get nothing until email 7, your middle emails are too long or too salesy.

When to kill, edit, or scale

Decision triggers we use after a sequence has run on at least 100 leads:

• Kill the sequence if reply rate is under 3% and unsubscribe is over 2% — the audience is wrong
• Edit a specific email if open rate on that email is below 25% (subject line problem) or the per-email reply rate is below 0.5%
• Scale the sequence (volume × 3, build persona variants) if meeting-booked rate is above 3% and closed-won rate is justifying CAC

20-minute weekly review ritual

Every Monday morning: open the dashboard, check the four per-email metrics for last week’s batch, identify the one email with the worst performance, write a hypothesis for why, ship a variant for next week’s batch. That’s it. 20 minutes. Don’t turn this into a 2-hour reporting exercise — the data isn’t that precise yet at small volume.

Common mistakes that tank Greek B2B sequences

The mistakes we see most often when we audit existing sequences for Greek clients:

Translating English templates word-for-word

The biggest one. American B2B templates are aggressive, hype-loaded, and filled with phrases like “I’d love to jump on a quick call to explore synergies.” Translated literally into Greek, this reads as cringe-inducing — like a bad LinkedIn DM. Greek B2B tone is more direct, less salesy, and skeptical of hype. Rewrite, don’t translate.

Sending from a no-reply address

If your sender is noreply@yourcompany.gr, the entire reply-bait strategy collapses. Email 4 says “reply yes” — but the address bounces. Use a real, monitored mailbox. The sales rep who owns the lead should be the visible sender.

Over-automating

The moment a human replies, the automation must stop. Forever. We’ve seen sequences keep firing email 5, 6, 7 to a prospect who already booked a meeting because the CRM-Mailjet sync was one-way. Result: the prospect cancels the meeting because they think your team is shambolic. Test the exit conditions before you go live.

Ignoring mobile preview

Roughly 65% of B2B opens in Greece happen on phone, often during commute or between meetings. If your email looks fine on desktop but the subject line truncates at 40 characters on iOS, you’re losing opens. Preview every email on iPhone and Android before scheduling.

Treating ESPA-funded leads the same as cold outbound

An SME owner who downloaded your guide on ESPA 2026 funding programs for digital transformation is in a completely different headspace than a cold-outbound recipient. They have funding deadlines, paperwork pressure, and a specific investment window. Their sequence should reference deadlines, application timelines, and approved supplier status. Don’t drop them into the generic warm sequence.

Quick-start: launch your first sequence in 5 days

You’ve read 3,000 words. Here’s how to actually ship something this week.

Day 1 — Pick one trigger

The easiest start is a PDF download trigger. You probably already have a PDF on your site (or you can ship one in an afternoon). One trigger, one sequence, one persona. Don’t try to launch three at once.

Day 2 — Write the 7 emails

Block 4–6 hours of focused writing time. Use the template above as the skeleton. Don’t optimize on day 2 — get to “good enough to send.” You’ll edit emails 4 and 5 within a month based on real data anyway.

Day 3 — Set up Mailjet + CRM sync

Configure the Mailjet automation. Connect the form trigger via webhook (n8n if you have it, native Zapier-style integrations otherwise). Verify SPF/DKIM/DMARC are correct on your sending domain. Test the unsubscribe link.

Day 4 — Test internally

Push 5 internal email addresses (yours, two colleagues, two personal accounts on different providers) through the full sequence. Check inbox placement (Inbox vs. Promotions vs. Spam) on Gmail, Outlook, and a Microsoft 365 tenant. Fix anything that lands outside the primary inbox before going live.

Day 5 — Go live with 50 leads

Don’t dump your entire 2,000-lead list in on day one. Start with 50. Watch the metrics for two weeks. Then scale.

If you want to see how this fits into a broader automation strategy, check out the 7-dimensions AI readiness framework — the email-follow-up sequence is usually one of the first three things we install once a team is ready. And if you’re scoping the rest of your tooling, the best AI tools for small business in 2026 covers the wider stack we recommend. For teams that want to skip the build entirely and have us install the sequence end-to-end, here are our automation services.

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