How to Run a LinkedIn Outreach Campaign Targeting Lookalike Fintech Companies in 2026

Before you fire off a single connection request, know this: Origami now has a built-in LinkedIn sequencer — you can build a list of lookalike fintech companies and send multi-touch outreach from the same platform, without ever exporting a CSV or syncing two tools. If you’ve already used Origami’s AI agent to surface high-fit fintech prospects (check the how to build a list of Lookalike Fintech Companies guide), this post walks through refining that list, writing messages that actually get replies, and launching the campaign directly from Origami.

We’ll go step-by-step, with real message copy you can steal. No fluff. No theory.

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Quick Recap: How You Built Your List

In Origami, you started with a natural-language prompt like:

“Find me 150 US-based fintech companies with Series A+ funding, 50–200 employees, that are similar to Stripe and Plaid, and identify their VP of Engineering or CTO.”

Origami’s agent searched the live web, chained data sources, enriched the contacts, and returned a clean prospect list — verified work emails, LinkedIn URLs, phone numbers, and company details. You get 1,000 free credits (no credit card) just for signing up, so you could build this entire list on the free plan.

But a raw list isn’t an outreach campaign. That’s where we pick up.

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Step 1: Refine and Segment Your Lookalike Fintech List for Outreach

Lookalike lists are powerful because they mimic your best customers, but not every match is outreach-ready. Before you write a single message, spend 10 minutes cleaning and segmenting.

Remove obvious red flags

• Companies with no open roles in engineering or product (they might not be scaling).
• Contacts who already connected with your team or are flagged as competitors.
• Tiny sub-10-person startups that don’t have infrastructure pain yet.

Segment by role and signal In fintech, the buyer for infrastructure, APIs, or compliance tools is often a VP of Engineering, CTO, or Head of Platform. But a Director of Product at a Series B neobank might be equally relevant if your solution impacts time-to-market.

Create sub-lists based on:

• Title bracket: CTO/VP Eng vs. Head of Product vs. Engineering Manager.
• Company size: 50–150 employees (growing fast, likely hitting scale pain) vs. 150–500 (mature, may need optimization).
• Funding stage: Series A companies often still building core infra; Series C+ are optimizing for margin.
• Tech signal: If Origami’s enrichment surfaced tools they use (e.g., AWS, Datadog, Plaid, Stripe), segment around stack compatibility.

What “qualified” looks like for this audience A high-intent lead for a fintech-focused solution is a company that recently scaled a payment or data product, hiring for reliability engineers, and using infrastructure tools you complement or replace. You can often spot these in the enrichment data: a Series B fintech with 12 open engineering roles and a “real-time payments” mention on their blog is a priority target.

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Step 2: Build a 3-Touch LinkedIn Sequence That Converts

Origami gives you two ways to create sequences:

1. Paste your own templates — Write your own 3-touch cadence, add delays (Day 1 → Day 3 → Day 7 or any custom rhythm), and launch. You control every word.
2. Let the agent write it — Ask Origami’s AI to generate personalized messages for each lead based on their enriched profile (title, company, industry, tools used). The agent writes unique copy for every person, so you can launch in minutes.

For this guide, I’ll give you the battle-tested templates I’ve used to get booked meetings with VP Eng and CTO roles at fintech scale-ups. Copy, tweak the angle to your product, and paste them straight into Origami.

Full 3-Touch Sequence: Steal These Messages

Sequence settings in Origami:

• Touch 1: Day 0 (connection request)
• Touch 2: Day 3 (follow-up message, if connected)
• Touch 3: Day 7 (final message, if no reply)
• Auto-unenroll on reply: ON

Day 1 – Connection Request + Note

Note: LinkedIn connection notes are limited to 300 characters. Use a specific trigger and a low-friction ask.

Hey , saw  is making moves in real-time cross-border payments — impressive. We help fintechs like yours cut API latency by 40% without re-architecting. Open to connecting.

Why it works: Personalised reference to the company’s space (pull this from Origami’s company enrichment — recent news, product launches), a specific metric (latency reduction), and no hard sell. It’s an invitation, not a pitch.

Day 3 – Follow-Up Message (Value-First)

Send this as a LinkedIn message once they accept. No subject line needed in the message composer, but Origami will use it if you’re sending InMail.

Subject: quick thought re: ’s scaling

Hi , thanks for connecting. I know that for fintechs processing real-time transactions, every millisecond of latency costs revenue. Our edge routing reduces API response times by 40% — companies typically see a 15% lift in transaction success rates within a month. Worth a 15-minute call to see if it applies to ?

Why it works: Bridges the connection request with real-world impact. Quantifies the pain (latency costs revenue) and the outcome (lift in success rates). Low-pressure call to action.

Day 7 – Final Message (Soft Close)

This is your breakup message. Keep it classy.

Subject: wrapping up

, last touch. If payment performance isn’t top-of-mind right now, no hard feelings. But if you’re prepping for Q4 volume spikes or tired of latency surprises, I’d be happy to share how we helped [similar fintech] handle 10x traffic without a hitch. Open to a quick call next week?

Why it works: Respects their time, signals you won’t pester, and re-inserts social proof (“similar fintech”) without being pushy. Leaves the door open.

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Step 3: Send the Sequence Directly from Origami

This is where Origami’s built-in sequenced changes the game. You don’t export the list to a separate outreach tool. You don’t juggle CSVs, CSV imports, or Zapier hacks. From the same dashboard where you built and qualified your list, you:

1. Select the leads (or a segment) you want to enroll.
2. Choose “Create Sequence” — paste in your 3 templates, set delays (Day 0, Day 3, Day 7), and map the personalization variables (, ).
3. Hit “Launch.”

What happens next:

• Connection requests go out immediately — Origami’s LinkedIn sequencer sends them through your connected LinkedIn account, respecting LinkedIn’s daily limits to keep your account safe.
• Follow-ups fire automatically — On Day 3 (if the contact accepted but didn’t reply), the second message sends. On Day 7, the third one goes out.
• Tracking is unified — In the same “Campaigns” tab, you see opens, clicks, and replies, right next to the enriched profile data that made you reach out in the first place. While viewing a prospect’s activity, you can still see their company details, tech stack, and job title — so you know exactly why you were talking to them.
• Auto-unenrollment — The moment a lead replies, they’re automatically removed from the sequence. No awkward “Just circling back” messages after someone already booked a meeting.

Pricing note: The LinkedIn sequencer is included on all paid plans. You pay only for the credits used to enrich your leads (finding emails, phone numbers, company data). The sending engine itself costs nothing extra. Free plan gives you 1,000 credits to start, but for ongoing campaigns you’ll want a paid plan starting at $29/month.

What response rates should you expect?

For cold outreach to VP Eng/CTO roles at lookalike fintech companies (well-researched, personalized, 3-touch), you should expect:

• Connection request acceptance: 25%–35% if your note is tight and your profile is credible.
• Positive reply rate (interested or books call): 8%–12% of contacted leads. That’s roughly 1–1.5 meetings for every 100 leads.
• Overall campaign conversion depends on your offer and call quality, but a clean list and solid message copy will fill your pipeline consistently.

If your reply rate is under 5% after 200 sends, iterate on the messaging first (test a different angle or metric). If connection acceptance is under 15%, your targeting might be off — revisit your list quality or the initial note.

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