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LinkedIn Outreach to Montreal Executives in 2026: The Exact 3-Touch Campaign (Templates Included)

A practitioner’s guide to running LinkedIn outreach to Montreal executives in 2026. Refine your Origami-built list, steal the exact 3-touch sequence, and launch it in one place.

Finn Mallery
Finn MalleryUpdated 12 min read

Founder @ Origami

Quick Answer: Origami doesn’t just build you a list of Montreal executives – it comes with a built-in LinkedIn sequencer that sends connection requests and follow-ups on autopilot. You describe your target audience in plain English, the platform finds, enriches, and qualifies the contacts, then launches a 3-touch sequence directly from the same dashboard. No exporting CSVs, no syncing tools. The sequencer is free to use on all paid plans; you only pay for credits to enrich leads.

This guide is the companion to how to build a list of LinkedIn Outreach to Montreal Executives. You’ve already generated your list using Origami’s AI agent. Now I’ll walk you through the three steps that turn a flat CSV into meetings: refine, message, send. I’ve run hundreds of campaigns in the Montreal market – what follows is the exact pattern that gets replies from VPs of Sales at SaaS companies, directors of innovation at manufacturing firms, and C-suite leaders at fintechs who get pitched a dozen times a day.


Step 1 – Build the list (if you haven’t already)

If you followed the parent guide, you already have a targeted list inside your Origami dashboard. In case you’re jumping straight in, here’s the prompt you’d type into Origami to generate it:

The prompt: “Decision-makers at Montreal-based companies with 50–500 employees, in technology, professional services, or manufacturing. Titles: CEO, VP Sales, VP Marketing, Director of Innovation, Head of Business Development. Must have an active LinkedIn profile and be located in the Greater Montreal area. Exclude agencies and consulting firms with fewer than 10 employees.”

Origami’s agent searches the live web, chains data sources, and returns a list with verified names, job titles, company names, LinkedIn profile URLs, email addresses (where available), and direct phone numbers. Every contact comes enriched with company size, industry, tools used, and recent news mentions – all surfaced from a single prompt.

Origami has a free plan that gives you 1,000 enrichment credits (no credit card required). If your list is under 200 contacts, you might never pay a dime. For larger campaigns, paid plans start at $29/month and include the sequencer.


Step 2 – Refine and qualify for Montreal

A raw list of “Montreal executives” is useless. The city’s business community is small, networked, and allergic to generic pitches. I learned the hard way that a PDG at a family-run manufacturing firm in Saint-Laurent has zero in common with a VP Growth at an AI startup in Mile End – even though they both match “executive.”

Here’s how I segment before a single message goes out:

1. Remove mismatched industries and roles
In Origami, you can filter by industry keywords directly in the list view. I strip out real estate developers, independent consultants, and anyone tagged “Sole Proprietorship” (the latter often inflate executive titles). For this campaign, I keep only companies tagged with the industries I explicitly asked for: technology, professional services, manufacturing. If “agence” or “conseil” appears in the company name and the employee count is <10, I cut them.

2. Segment by company size and language
Montreal is functionally bilingual, but your message needs to feel native. I split the list into two buckets:

  • Anglophone-dominant: Companies headquartered outside Quebec, or where the exec’s LinkedIn profile is entirely in English.
  • Francophone-friendly: Quebec-based firms, profiles in French, or a mix. I don’t always send a fully French message, but I acknowledge the context. More on that in the sequence.

Then I create sub-lists by employee count:

  • 50–100 employees → title inflation is common, so I qualify hard on tool stacks (e.g., do they use Salesforce or HubSpot?).
  • 100–250 employees → the sweet spot, where titles match real decision-making power.
  • 250–500 employees → longer sales cycles, so I message differently (the soft close has to be softer).

3. What “qualified” looks like for Montreal executives
I consider a lead qualified when:

  • The title maps to a genuine budget holder (VP or above in a revenue, product, or innovation function).
  • The company has at least 50 employees and uses B2B tools Origami picks up in enrichment (Salesforce, HubSpot, Snowflake, Tableau – anything that signals they invest in growth infrastructure).
  • The executive has posted on LinkedIn within the last 60 days. Inactive profiles suggest they don’t respond to inbound. Origami surfaces profile activity as part of enrichment, so you can filter out anyone who hasn’t been active.

Take 20 minutes to do this. It will double your reply rate.


Step 3 – Create the LinkedIn sequence (steal these messages)

This is where Origami’s sequencer becomes a weapon. You can either paste your own templates or let the agent write them automatically based on each lead’s enriched profile.

Option 1: Paste your own templates
Write a 3-touch cadence and paste the templates directly into the sequencer. Set delays (I use Day 1, Day 3, Day 7 for Montreal executives – they move fast when motivated, but won’t be rushed). Hit “Launch.”

Option 2: Let the agent write a personalized sequence
Click “Generate Sequence” and Origami’s AI will build a 3-day LinkedIn sequence for all your leads, tailoring each message using title, company, industry, and recent news. You can tweak the copy before sending.

Below is the exact 3-touch sequence I use for Montreal executives. I’ve split it by language segment because that’s what separates a 3% reply rate from an 18% reply rate in this market. Feel free to steal the copy verbatim.

Sequence for Anglophone-dominant executives

Touch 1 – Connection request + note (Day 1) “Hi [First Name], I’m researching how Montreal [industry] leaders are approaching [specific challenge, e.g., pipeline growth] this year. Your background at [Company] caught my attention – especially [trigger, e.g., the recent Series B]. Happy to connect and share what I’m seeing across other teams.”

Why it works: It’s not a pitch. It signals research and relevance without asking for anything. The Montreal executive audience appreciates a subtle, peer-level opener – our market punishes the hard sell.

Touch 2 – Follow-up message (Day 3, once connected) “Thanks for connecting, [First Name]. I’ve noticed a pattern: teams in Montreal that use [Tool A, e.g., Salesforce + manual outreach] often hit a wall when trying to scale across both languages. A couple of local groups have cut prospecting time by 60% by layering in an AI-driven approach that respects the bilingual nuance. No pitch – if you’re ever up for exchanging notes on what’s working, I’m happy to share the playbook.”

Why it works: I’m name-dropping a pain point specific to the Montreal business reality (bilingual scaling) and offering a value-first exchange. “Playbook” is a safe, non-salesy term that executives here respond to.

Touch 3 – Final message (Day 7) “Hi [First Name] – circling back one last time. If scaling outreach without losing the personal, bilingual touch is on your radar, our platform Origami might be worth 15 minutes. We’re working with a few Montreal execs who are quietly switching from traditional SDR teams to AI-led sequencing with 20%+ reply rates. If that’s interesting, I’ll send a brief video walkthrough. If not, no hard feelings. Either way, happy terrasse season!”

Why it works: The soft close makes it easy to say “yes” or “no” without pressure. The Montreal cultural nod (“terrasse season”) lands well with Anglophone execs who’ve adopted local flavour. The specific metric (20%+ reply rates) increases credibility without overpromising.

Sequence for Francophone-friendly executives

It’s tempting to copy-paste a French translation. Don’t. Montreal francophone leaders are often more direct, appreciate concision, and react poorly to anything that feels translated. I use a bilingual strategy – English messages with a clear acknowledgement of their context, or a short French bumper if their profile is entirely en français.

Touch 1 – Connection request + note (Day 1) “Bonjour [First Name], je suis en train d’étudier comment les leaders montréalais en [industrie] gèrent [défi précis] cette année. Votre parcours chez [Company] a retenu mon attention. Heureux de se connecter et d’échanger des observations.”

If their profile is mixed, I use:
“Hi [First Name], following your work at [Company] – I’m looking into how bilingual teams in Montreal navigate outreach at scale. Happy to connect.”

Touch 2 – Follow-up message (Day 3) “Merci pour la connexion, [First Name]. Un constat: les équipes marketing ici jonglent entre le français et l’anglais pour générer des leads, mais les outils standards ne captent pas cette nuance. Je partage librement les tactiques que j’ai vues fonctionner chez d’autres dirigeants montréalais. Si ça vous parle, on échange 10 min.”

Touch 3 – Final message (Day 7) “Dernier suivi, [First Name]. Si l’idée d’alléger votre prospection tout en gardant un ton bilingue vous intrigue, je peux vous envoyer une courte vidéo. On aide déjà quelques PME montréalaises à automatiser leur outreach avec un agent IA qui comprend le marché ici. Sinon, pas de souci. Bonne semaine!”

Why this works: Even if their English is flawless, the use of French shows respect. I kept the messages crisp – Francophone execs in Montreal, especially in PME, have no patience for fluff. The value prop ties directly to their bilingual reality, not a generic “automation” pitch.

A note on delay timing: I set Touch 1 to go out Tuesday–Thursday mornings, Eastern Time. Touch 2 fires 3 days later, same time window. Touch 3 goes out after a week. You can adjust these directly in Origami’s sequencer interface.


Step 4 – Send the sequence directly from Origami

This is where the “one platform” promise pays off. In your Origami dashboard, you’ve already built the list, refined it, and loaded the sequence. Now you click Launch.

  • The sequencer sends connection requests with personalized notes automatically.
  • When a lead accepts, it waits the delay you set, then sends the follow-up message.
  • If you chose the agent-generated route, each message is dynamically written based on the lead’s title, company, industry, and any triggers the enrichment surfaced.
  • Sending is free on all paid plans – you’re only paying for the enrichment credits you’ve already used. No hidden “email credits” or per-message fees.

Tracking happens in the same dashboard where you built the list. For every contact, you see:

  • Opens and clicks (when applicable).
  • Replies – threaded right inside the contact’s activity log.
  • Sequence status (in progress, replied, bounced, etc.).

While reviewing a reply, you can still see the lead’s enriched profile: full job title, company size, tools they use, recent news. That context keeps the conversation threaded to the reason you reached out in the first place.

Automatic un-enrollment: If a lead replies – even a “not interested” – Origami immediately removes them from the sequence. No risk of sending a breakup message to someone who just booked a call. It’s a small detail that saves your reputation in a market as tight as Montreal.

What response rates to expect

With the Anglophone sequence above and a well-segmented list (companies 100–250 employees, active on LinkedIn), I consistently see a 14–18% connection acceptance rate and an 8–12% reply rate. Francophone sequences can climb to 15–18% reply rates because fewer people bother to write in French properly.

These numbers assume you’ve done the refinement work. If you blast the raw list without qualifying, expect half those rates.

When to iterate on messaging vs. the list

If after 50 sends you’re below a 5% reply rate, change the message first – not the audience. Try:

  • Shortening Touch 1 to a single sentence.
  • Switching the hook from “research” to a direct question.
  • Adding more specific Montreal references (specific neighbourhood, university network, event like C2 Montréal).

If you’re still underperforming after two message iterations, the list is the problem. Go back to Step 2 and tighten qualifiers: filter out anyone under 50 employees, or only keep people who have posted in the last 30 days.