How to Run a LinkedIn Outreach Campaign Targeting Decision-Makers at Mid-Sized Funded Startups in Fintech, Retail, and Healthcare (2026)

Quick Answer: You've built a laser‑focused list of decision-makers at mid‑sized funded startups in fintech, retail, and healthcare using Origami. Now it's time to actually reach them. Origami does both the list‑building and the outreach — its built‑in LinkedIn sequencer lets you send multi‑touch connection requests and follow‑ups directly from the same dashboard where you found and enriched those leads. No exporting, no syncing, no separate tools.

This guide picks up where the list‑building walkthrough left off. You already know who to reach. I'll show you exactly how to reach them with a repeatable, high‑response LinkedIn campaign. You'll get the full 3‑touch sequence (copy it, paste it), refinement tactics that double reply rates, and a sending workflow that takes under 15 minutes from list to live.

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Step 1 — Build the List in Origami (Recap)

If you haven't already built your list, read the parent post first. But here's the prompt you'd type into Origami to land on the exact same audience:

“Find decision-makers (CEO, VP Product, VP Engineering, Head of Growth) at mid‑sized funded startups in fintech, retail, and healthcare. Companies with 50–250 employees, Series A or B funding raised in the last 24 months, actively hiring on LinkedIn. Pull verified emails and direct dial phone numbers where possible. Include the tech stack they use (CRM, payment gateways, API tools).”

Origami's AI agent scours the live web, chaining data signals — Crunchbase funding rounds, LinkedIn job postings, built-in technographic sources — and returns a list of contacts with:

• Full name, current job title, company, location
• Verified email (usually work)
• Direct dial or corporate number when available
• Industry tags (fintech, retail/etail, healthtech)
• Inferred tools (Stripe, Shopify Plus, Epic/Redox, API management platforms)

The free plan gives you 1,000 credits — enough to build and refine a solid initial batch — with no credit card required. Paid plans from $29/month include the LinkedIn sequencer and higher credit pools.

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Step 2 — Refine and Qualify the List for LinkedIn

A good list doesn't mean every contact is outreach‑ready. When I run campaigns for these verticals, I spend 15–20 minutes pruning and segmenting. The goal: remove anyone who'll never reply and group the rest so your messaging hits their exact world.

What to Cut

First pass in your Origami list view:

• Wrong seniority. A “Director of Engineering” at a 200‑person startup might be too hands‑on; you want the VP or CTO. Filter out anyone below VP if you're selling enterprise‑wide solutions.
• Stale signals. The company hasn't hired in 6+ months or their funding appears to be a rumored round, not closed. Skip them — they're not in growth mode.
• Adjacent industries. E‑commerce ≠ retail for most pitches. If you're selling retail‑specific ops software, remove pure e‑commerce plays that lack physical stores or supply‑chain complexity.
• Unqualifying tech stacks. For fintech, if the prospect already uses a direct competitor (based on the inferred tools column), I deprioritize unless my value prop is starkly different.

How to Segment

After culling, I create sub‑lists inside Origami by tagging contacts based on:

• Industry — fintech, retail, healthcare. The pain points are too distinct to use one generic message.
• Role — CEO/Founder vs. VP Product/Eng vs. Head of Growth. A founder cares about burn rate; a VP Product cares about roadmap velocity.
• Funding stage — just closed Series A (scrappy, cost‑sensitive) vs. 12–18 months post‑Series B (scaling, polishing operations).

The output: you leave this step with 3–5 tight segments, each containing 20–50 truly qualified leads who look like your best customers.

What “Qualified” Looks Like for This Audience

For funded startups in these verticals, a qualified lead meets three conditions:

1. They're experiencing the pain you solve — for example, a fintech Head of Growth fighting manual compliance reviews that delay onboarding.
2. They have budget and authority — a VP who owns a tooling budget, not an individual contributor who just “influences.”
3. Timing is right — the company announced a priority initiative (launching a payments product, expanding into new states, integrating with EMRs) that your solution accelerates.

If a contact checks those boxes, they go in the campaign.

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Step 3 — Create the LinkedIn Sequence

Here's where most people freeze. They get a great list, then send a single generic connection request and wonder why reply rates are 2%.

A proper LinkedIn sequence is 3 touches over 7–10 days, with each message adding net‑new context. Below I'm giving you the exact copy I've used for fintech, retail, and healthcare decision‑makers. You can either paste these templates into Origami's sequencer and launch, or you can let the agent write it for you.

Your Two Options in Origami

Option 1 – Paste your own templates. Write a 3‑touch sequence (like the ones below), define the delay between each touch (Day 1, Day 3, Day 7 works well), and hit “Launch.” You have full control over the copy, and Origami handles the send‑timing so you aren't staring at your inbox.

Option 2 – Let the agent write it. When you add contacts to a sequence, toggle “AI‑generate” and Origami's agent will read each lead's enriched profile — title, company, industry, tools used — and write a personalized 3‑day sequence for them. Every message feels custom, even at scale. You can review and approve before sending.

Personally, I start with my own templates for a new segment, A/B test, then let the agent iterate once I know what works. But if you're short on time, the agent‑written messages surprise me with how relevant they are.

The Full 3‑Touch Sequence (Copy These)

Each message is 50–100 words. I've kept them tight because decision‑makers at funded startups are drowning in InMails. You've got 5 seconds to earn the read.

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Segment A: Fintech Decision‑Makers (CEO, VP Product, Head of Growth)

Day 1 – Connection request + note (300 character limit)

Congrats on the [funding round/product launch]. Saw your team is scaling compliance — one fintech Head of Growth I know cut onboarding from 5 days to 2 hours after ditching manual reviews. Would love to connect and share the playbook when it makes sense.

Day 3 – Follow‑up message (InMail or open DM)

Quick follow‑up, . When fintechs hit Series B, most hire a compliance team before realizing 80% of checks can be automated. We built a way to embed identity verification and KYB checks directly into your flow — without pulling engineers off the roadmap. Worth 15 minutes to show you how others in your space are doing it?

Day 7 – Final touch (soft close, different angle)

Last note from me, . If compliance automation isn't your top fire right now, I get it. Out of curiosity — is the bigger gap speed of customer onboarding, or cost per review? A lot of founders I talk to are surprised they can fix both with one change. Happy to send a 2‑minute case study if you're curious.

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Segment B: Retail Decision‑Makers (VP Supply Chain, Head of E‑commerce, CTO)

Day 1 – Connection request + note

Retail ops are tough when inventory is spread across Shopify, warehouses, and 3PLs. We helped a mid‑sized DTC brand unify their stock data and cut overselling by 40% in a month. I'd love to connect and share the notes.

Day 3 – Follow‑up

, I know how painful it is when your warehouse shows 200 units but your Shopify store sells 210 because the sync was too slow. We built a real‑time inventory layer that plugs into Shopify, NetSuite, and ShipStation — without ripping out your current stack. Mind if I send over a Loom that shows the setup?

Day 7 – Final touch

Last one from me, . Even if inventory unification isn't your top priority today, a lot of retail ops teams I work with are also dealing with returns fraud and chargebacks eating into margins. If that's on your radar, I have a playbook from a brand doing $50M+ that dropped chargeback rates by 30%. Want it?

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Segment C: Healthcare Decision‑Makers (CEO, CIO, VP Product at healthtech startups)

Day 1 – Connection request + note

Building integrations with Epic, Cerner, and Meditech is a time‑sink for most healthtech startups. We've abstracted the FHIR & HL7 mess into a single API that cuts integration time from months to weeks. Would love to connect.

Day 3 – Follow‑up

, many digital health founders I talk to are surprised that the bottleneck isn't their product — it's the healthcare data plumbing. Our platform handles the provider onboarding, consent management, and real‑time data translation, so your team focuses on the patient experience. Open to a quick screen share?

Day 7 – Final touch

Final ping, . If you're hiring integration engineers just to maintain EMR connections, I'd argue that's a drag on your burn rate. Even if you're not actively looking, I can share a breakdown of what a “thin integration layer” costs vs. building in‑house. No pitch, just numbers. Worth a quick email?

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These messages work because they name a specific pain point that the person is likely awake at night thinking about, offer a concrete insight, and ask a low‑friction question. No “we provide end‑to‑end solutions” nonsense.

Setting Up Delays and Logic in Origami

When you paste these into Origami, you'll define:

• Touch 1 (connection request): Day 1, at the time you specify (I send Tuesday–Thursday 9:30 AM–11 AM prospect local time).
• Touch 2 (message): Day 3, only if they accepted and didn't reply.
• Touch 3 (final message): Day 7, only if still no reply.

If a prospect replies at any point, Origami automatically unenrolls them from the sequence — no accidentally sending “Just checking in” after they've already booked a meeting. That's the kind of detail that saves your reputation.

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Step 4 — Send the Sequence Directly from Origami

This is the part that used to mean exporting a CSV, uploading to a third‑party tool, mapping fields, and praying nothing breaks. Not anymore.

Inside Origami, you launch the sequence directly from the same dashboard where you built and refined the list. Here's exactly how it flows:

1. Select your segment. Click into one of your sub‑lists (e.g., “Retail VPs – Inventory Pain”).
2. Create a new sequence. Choose “LinkedIn Sequencer” as the channel. Paste your three messages (or let the agent write them). Set the delays.
3. Review sending schedule. Origami auto‑spaces connection requests so you stay under LinkedIn's daily limits. You can adjust the per‑day cap.
4. Launch. The sequencer sends connection requests with notes, waits, then follows up automatically. You don't touch a thing.
5. Track everything in one place. Open the campaign dashboard and you'll see:
   • Acceptance rate
   • Clicks on any link you included
   • Replies (and the conversation thread)
   • Unenrollments (if someone replied or disconnected)

What I especially like: while looking at a contact's activity, I can still see their enriched profile — title, company, tools used, funding data — right there. So when someone replies, I don't need to dig for context; I know exactly why I reached out and what their world looks like.

Crucially, the LinkedIn sequencer is included on all paid plans. You're only paying for the credits used to enrich your leads. The sending itself doesn't cost extra. If you're on the free plan with 1,000 credits, you'd still get the sequencer after upgrading — but the free tier is genuinely usable for a small batch test.

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What Response Rates to Expect

For decision‑makers at funded startups in these verticals, I consistently see:

• Connection acceptance: 25–40% if your note is relevant and the list is well‑targeted.
• Reply rate (across all touches): 10–18% — meaning for every 50 contacts in a sequence, expect 5–9 actual conversations.
• Meeting‑booked rate: roughly half of those replies turn into a qualified meeting.

These are realistic numbers when your messaging matches the segment. If you're below 20% acceptance, your list probably isn't tight enough — you're connecting with people who don't recognize the problem you're describing. If reply rate is low, your messaging is too generic or you're asking for too much too soon.

When to iterate on messaging vs. when to iterate on the list:

• High acceptance, low replies → your note is good but your follow‑ups aren't adding value. Test different angles on Days 3 and 7.
• Low acceptance → the list has a mismatch. You're connecting with people who don't see themselves in your first message. Refine the job titles, company stage, or even industry tag.
• Everything working → let the agent write variations to scale and A/B test automatically.

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