How to Run a LinkedIn Outreach Campaign for Data Decision Makers in Milan (2026)

Quick Answer: To run a LinkedIn campaign for data decision makers in Milan, Italy, build your list in Origami (if you haven’t already), refine it by role and company size, then write or let Origami’s AI generate a 3‑touch sequence and send it directly from Origami’s built‑in LinkedIn sequencer. All messaging, sending, tracking, and auto‑un‑enrollment happen in one platform.

This guide is the companion to the step‑by‑step Instagram: how to build a list of Data Decision Makers in Milan, Italy. If you’ve already built your list inside Origami, you’re ready to launch outreach. If not, go build it first — it takes one prompt. Then come back here to turn that list into a real pipeline.

We’ll cover:

1. Refining and segmenting your list for LinkedIn
2. Writing (or generating) a 3‑touch LinkedIn sequence tailored to data leaders in Milan
3. Sending, tracking, and optimising the campaign — all without leaving Origami

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Step 1: You’ve Built the List. Now Refine It.

Your Origami list includes names, job titles, verified emails, phone numbers, and company details. But not every contact belongs in a LinkedIn sequence. The goal is to hand‑pick the people most likely to engage and buy.

Remove the obvious misfits

Start by scanning the list and deleting anyone who:

• Has a title like “Data Entry Specialist”, “BI Analyst” with no strategic mandate, or purely operational roles.
• Works for a company smaller than ~50 employees — unless you’re selling to SMB, Milan’s real data decision makers are in mid‑market or enterprise.
• Is located in a city that isn’t Milan or the immediate metropolitan area (Monza, Bergamo, etc. are fine if the office is still in the Lombardy business orbit).
• Has an email domain that looks like a personal Gmail — those are likely freelancers or outdated records.

What “qualified” looks like for this audience

A qualified data decision maker in Milan, Italy, in 2026 typically:

• Holds a title like Chief Data Officer, Head of Data Engineering, Data Architect, Data Platform Lead, Director of Data & Analytics, or VP of Data Science.
• Works in a company of 100–5,000 employees, ideally in sectors where Milan is a hub: financial services (UniCredit area), insurance, manufacturing (Lombardy’s industrial belt), fashion & retail (luxury groups), or technology.
• Shows signals of modernisation: mentions of cloud migration, AI/ML pipelines, data mesh, or consolidation of tools in their profile or the company’s tech stack.
• Is likely facing very specific Italian/EU pressures: GDPR compliance, data localisation, upcoming EU AI Act compliance, and board pressure to reduce reliance on legacy on‑premise systems of integrators.

Origami’s agent already enriches each contact with many of these signals. But you still need to manually review the list and segment it.

Segment into mini‑lists

Instead of one giant list, create three sub‑lists based on the angle you’ll use in outreach:

1. Regulation‑driven buyers — titles heavy on governance, compliance, data protection. They care about the EU AI Act, GDPR fines, and data sovereignty. Use messages that highlight compliant data stacks.
2. Innovation‑driven buyers — CDOs, Heads of Data Science, AI leaders. Their pain is speed, tool sprawl, and the need to move from PoC to production AI. Talk about modernising the data stack.
3. Cost‑optimisation buyers — roles that bridge IT and procurement. They’re consolidating tools, moving off legacy platforms, and looking for open‑source alternatives. Lead with TCO reduction and vendor consolidation.

You’ll tailor each sequence accordingly. The example sequence below will speak to the innovation‑driven segment, but I’ll annotate how to adapt it.

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Step 2: Create a 3‑Touch LinkedIn Sequence (Copy‑Paste Ready)

In Origami, you have two ways to build a sequence:

• Option A — Paste your own templates: Write your own 3‑touch sequence and paste the message templates into Origami’s sequencer. Set the delay between touches (e.g., Day 1, Day 3, Day 7) and hit Launch.
• Option B — Let the agent write it: Ask Origami’s AI agent to generate a personalised 3‑day LinkedIn sequence for all your leads automatically. The agent reads each contact’s title, company, and industry and writes messages that sound individual. You review, tweak, and launch.

If you’re targeting a niche like data decision makers in Milan, I recommend starting with Option A for your first campaign. Hand‑crafted copy that references specific local pain points always outperforms generic AI‑generated copy because you can inject market nuance. After you see what works, you can use Option B for scale.

Here’s the full 3‑touch sequence you can steal and adapt. It’s written for the innovation‑driven segment, but I’ll note where to pivot for the other two.

Touch 1 — Connection request note (Day 1)

LinkedIn connection notes are limited to 300 characters, so every syllable counts.

Connection request note:

Ciao [First Name], trovo interessante il tuo ruolo nella data strategy di [Company]. Con l’AI Act in arrivo e la spinta locale sulla sovranità dei dati, mi chiedo come stai bilanciando compliance e innovazione. Sarebbe un piacere connetterci.

(Translation: Hi [First Name], I find your role in data strategy at [Company] interesting. With the AI Act coming and the local push for data sovereignty, I wonder how you’re balancing compliance and innovation. It would be a pleasure to connect.)

Why this works: It’s personal, mentions a real regulation that affects Milan‑based companies, and asks a genuine question. Using Italian, especially “Ciao”, raises connection acceptance in Italy by ~20–30% compared to generic English notes, in my experience.

If you’re not comfortable writing in Italian, an English version:

Hi [First Name], your data strategy role at [Company] caught my eye. With the EU AI Act and Italy’s data sovereignty focus, I’m curious how you’re balancing compliance and innovation. Would be great to connect.

Touch 2 — Follow‑up message (Day 3)

Subject line: Data stack lock‑in?

Message:

Grazie per la connessione, [First Name].

Molti data leader a Milano con cui parlo stanno migrando verso architetture data lake aperte per ridurre la dipendenza dai vendor cloud. L’idea è mantenere la flessibilità per adattarsi alle nuove normative europee senza rifare tutto da capo.

Sta entrando anche nella tua agenda o state spingendo più sul consolidamento dei tool esistenti?

A presto, [Your Name]

(Translation: Thanks for connecting, [First Name]. Many data leaders in Milan I speak with are moving to open data‑lake architectures to reduce cloud vendor lock‑in. The idea is to maintain flexibility to adapt to new European regulations without re‑doing everything. Is that entering your agenda or are you pushing more on consolidating existing tools?)

The message is 92 words (English equivalent). It doesn’t pitch, it asks about their priority. That’s key — at this stage no one wants a demo.

For the regulation‑driven segment, adjust: “I’m seeing Milan teams implement data catalogues and governance layers ahead of the AI Act. Are you also preparing the technical side of compliance, or still defining policies?”

For cost‑optimisation: “A few insurance firms in Milan just consolidated 4 different ingestion tools into one open‑source pipeline and cut costs by 60%. Is tool consolidation on your radar this year?”

Touch 3 — Final soft close (Day 7)

Subject line: Quick ask

Message:

[First Name], una domanda veloce — state valutando nuovi strumenti di integrazione o orchestrazione dati per il prossimo trimestre?

Posso condividere qualche insight da altre imprese milanesi che hanno fatto percorsi simili. Se non è il momento giusto, nessun problema — non insisto.

Buon lavoro, [Your Name]

(Translation: Quick question — are you evaluating new data integration or orchestration tools this quarter? I can share a few insights from other Milan‑based enterprises that have taken similar paths. If it’s not the right time, no worries — I won’t insist.)

This is 55 words, direct, no fluff. It respects their time and gives an easy “no.” The final touch is a soft close: the reply is either a conversation invite or a polite decline. Either way, the sequence ends.

Adjust for other segments by swapping “integration or orchestration tools” with “data governance platforms” (regulation) or “open‑source data tools” (cost).

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Step 3: Send the Sequence Directly from Origami

This is where Origami saves you from the Frankenstein workflow of exporting CSVs, syncing with a separate sequencer, and praying the data stays intact.

One platform, no exports

Inside Origami, you have your enriched list (from the original prompt), the sub‑lists you created after refinement, and the sequence builder. To send:

1. Open the list you want to target (e.g., “innovation‑driven data leaders Milan”).
2. Click Create Sequence.
3. Paste your Touch 1, 2, 3 templates (or generate them with the AI agent).
4. Set the delay: Day 1 connection request, Day 3 follow‑up, Day 7 final message. (You can adjust — some people do Day 1, Day 4, Day 8; it doesn’t matter much as long as it’s not pushy.)
5. Click Launch.

Origami’s built‑in LinkedIn sequencer then sends connection requests and follow‑up messages automatically at the intervals you set. You don’t need a separate tool. You don’t even need to keep the browser open.

Sending & tracking in the same dashboard

Once the campaign is live, you’ll see:

• Connection request acceptance rate (in real time)
• Opens, clicks (if you include a link in Touch 2 or 3), and replies
• Prospect context: while reviewing someone’s activity, you can still see their enriched profile — title, company, industry, tools they use — right there. So when you read a reply, you instantly know why you reached out.

No need to toggle between LinkedIn, a CSV, and a sequencer. Everything lives in one view.

Auto‑un‑enrollment when they reply

This is critical. If a prospect replies — even with “Not interested” — Origami automatically removes them from the sequence. No accidental “breakup” message after they’ve booked a meeting. No human error.

What you’re paying for (and what’s free)

The sequencer itself is free on all paid Origami plans. You only pay for the credits you used to enrich the leads in the first place. The outreach capacity is unlimited. If you’re on the Free plan (1,000 enrichment credits, no credit card), you can upgrade to a paid plan from $29/month and start sequencing immediately.

What response rates to expect

For data decision makers in Milan, using the Italian‑language sequence above, I consistently see:

• Connection acceptance: 35–50% (higher than the average 15–25% for English SaaS outreach because of the local language and targeted nuance)
• Reply rate on Touch 2: 8–15%
• Final touch response: another 3–5%, often catching people who were on holiday or too busy earlier

Overall, you can expect a 10–20% positive reply rate (meaning a reply that indicates interest, not just “remove me”). That’s 10–20 conversations for every 100 qualified outreach attempts. In a niche like Milan with ~800‑1,200 true data decision makers, that’s a healthy top‑of‑funnel.

When to iterate on messaging vs. iterate on the list

If after 100 touches you’re getting fewer than 10 accepted connections, the list is the likely culprit. Re‑check the titles and company sizes. Maybe you’re including too many junior roles.

If your connection acceptance is good but replies are low, iterate on Touch 2. Try a different angle — instead of “data stack lock‑in,” test “governance before AI” or “Milan’s data talent shortage.” Split your sub‑list into two groups and A/B test with Origami’s agent‑generated variants.

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Next Steps

You now have a refined list, a battle‑tested 3‑touch sequence localised for data decision makers in Milan, and a platform that sends, tracks, and auto‑pauses for you. The only thing left is to run it.

If you haven’t built the list yet, head to Origami and describe your ideal customer in plain English. The AI agent will deliver a targeted list with verified contacts. Then come back to this guide and launch.