How to Run a Look-Alike LinkedIn Outreach Campaign That Converts in 2026

Quick Answer: Origami just launched a built-in LinkedIn sequencer that turns your look-alike prospect list into a live outreach campaign — no CSV exports, no separate tools. You describe your ideal customer, Origami finds and enriches look-alikes, and you send connection requests and follow-ups directly from the same platform. The sequencer is included on all paid plans; you only pay for the credits that enrich your leads. This guide shows the exact 3‑touch sequence, message copy, and setup to run a look-alike outreach campaign in 2026.

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If you followed our parent guide, you already have a list of 200–2,000 companies that structurally resemble your best customers. That list is sitting inside Origami with verified work emails, LinkedIn profile URLs, tech‑stack data, and job titles. Now you need to turn it into conversations. This is the outreach playbook.

What you’ll get:

• A dead‑simple way to segment that list so you’re not burning connections on bad fits.
• A full 3‑touch LinkedIn sequence you can copy‑paste and launch in minutes.
• Instructions for sending everything from inside Origami’s sequencer — list‑building, enrichment, messaging, and reply tracking all in one place.

Let’s go.

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Step 1 – Build the List in Origami (If You Haven’t Already)

You’ve likely already done this step from the parent post. But if you’re starting fresh, here’s the prompt you’d type into Origami to generate a look-alike prospect list:

“Find US-based B2B SaaS companies with 20–200 employees that use HubSpot and Salesforce, raised Series A or B funding in the last 18 months, and have at least three open RevOps or sales roles. Exclude agencies and consultancies. Give me VP and Director contacts at those accounts.”

Origami’s AI agent searches the live web, chains data sources, enriches contacts, and qualifies leads — all from that single prompt. In return, you get a list of companies with:

• Verified work emails and LinkedIn profile URLs
• Full names, job titles, and departments
• Company size, industry, funding stage, tech stack snippets
• Intent signals where available (hiring activity, recent tool changes, news)

If you’re new, the free plan gives you 1,000 credits (no credit card) — enough to test a small look-alike sample. Paid plans start at $29/month and include the LinkedIn sequencer at no extra cost; you only pay for credits used to enrich leads beyond the plan’s limits.

Now that you have the raw list, the real work begins.

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Step 2 – Refine and Qualify for LinkedIn Outreach

A look-alike list isn’t a phone book. You need to slice it so every connection request lands with someone who actually has a reason to care. Here’s how I refine inside Origami before ever opening the sequencer.

2.1 Kill the False Positives

Scroll through the list and remove anyone who:

• Works at a company that’s a direct competitor (you don’t want to tip them off).
• Has a title that’s too junior or completely unrelated (e.g., “Accountant” when you’re reaching out about pipeline generation).
• Shows a company size that’s off by more than 30% from your ideal profile. Look-alike models sometimes inflate subsidiary counts.

I typically discard 5–10% at this stage.

2.2 Segment by Role & Buying Power

For a look-alike campaign aimed at people who build look-alike lists (sales ops, RevOps, growth marketing), I create at least three segments:

1. Revenue Operations leaders – They own the tech stack and data infrastructure. They’ll care about enrichment quality and API integrations.
2. Sales VPs and Directors – They feel the pain of poor pipeline daily. Messaging should focus on meeting‑booked rates and rep productivity.
3. Demand gen / growth marketers – They live for CAC efficiency and list accuracy. Lead with data freshness and intent signals.

Inside Origami, you can filter your list by title keywords, department, company size, or location and save each as a separate audience. Later, you’ll attach different sequences to each segment.

2.3 What “Qualified” Looks Like for This Audience

A qualified look-alike contact meets these three criteria:

• They work at a company of similar size, growth stage, and industry to your top 20% customers (already satisfied by the list).
• Their role has a direct line to pipeline or revenue operations — not a passive observer.
• Their LinkedIn profile shows recent activity (posts, comments, job changes) in the last 60 days. Active profiles are 2–3x more likely to accept a connection request.

When you mark someone as “qualified” in Origami, you’re basically saying: This person would nod if they saw how my ICP behaves because it’s their company’s mirror image.

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Step 3 – Create the LinkedIn Sequence

Now the list is clean and segmented. Time to build the outreach. Origami gives you two ways to set up sequences:

Option A – Paste your own templates
Write your 3‑touch sequence (connection request + two follow‑ups), then paste the copy directly into Origami’s sequencer. Set the delays between touches — Day 1, Day 3, Day 7 (or whatever cadence works for your audience) — and hit “Launch.”

Option B – Let the AI agent write it
Ask the Origami agent to generate a personalized 3‑day LinkedIn sequence for all your leads. The agent reads each prospect’s title, company, industry, and even recent LinkedIn activity (if available) and writes a message that feels custom. You can still edit before sending.

For the rest of this post, I’ll give you Option A: a full sequence you can copy, paste, tweak, and use today. These messages are written for the “Revenue Operations leaders” segment — adapt them for sales leaders or marketers by swapping the pain points and value props.

3‑Touch LinkedIn Outreach Sequence for Look‑Alike Prospects

Day 1 – Connection request with note
Subject: (none — it’s a connection note)

Hi , saw you’re leading RevOps at . Your stack looks similar to what our best‑fit customers run — + . I’ve been sharing a look‑alike model that finds accounts matching that profile in real time, not just quarterly. Happy to send a quick walkthrough if you’re ever curious how we’d surface companies like yours. No pitch yet, just building a network of ops folks who geek out on this.

Word count: ~85. Straight to the point, references the shared tool stack, and promises value without asking for a meeting.

Day 3 – Follow‑up message (different angle)
Subject: quick thought re: pipeline quality

, I know RevOps teams burn time manually scrubbing prospect lists that are 40% stale. The look‑alike approach we use enriches and refreshes contacts every 48 hours, so the list you pulled last Monday isn’t obsolete by Thursday. If you’d want to see what a live look‑alike output looks like for a target account, I can drop a few examples in your inbox. No demos, no forms — just the data.

Word count: ~80. This hits a specific friction (data staleness) and offers a low‑effort next step.

Day 7 – Final message (soft close)
Subject: last note

, I’ll leave this here. Over the last month, a few RevOps leaders in fintech and SaaS used our look‑alike lists to feed their outbound sequencers and saw a 3x lift in reply rates compared to their normal ABM lists. The reason: the contacts actually matched their ICP’s live firmware, not a 12‑month‑old CRM snapshot. If this ever becomes a priority, my inbox is open. If not, all good — I’ll just keep enjoying your LinkedIn posts.

Word count: ~90. It references specific industry‑adjacent results (omitting competitor numbers, just directional) and closes gracefully.

Handling replies: Origami’s sequencer automatically un‑enrolls a prospect the moment they reply. So no one gets a breakup message after they’ve already said “tell me more.”

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Step 4 – Send the Sequence Directly from Origami

Once you’ve chosen your sequence (own copy or AI‑generated), everything runs inside Origami. No exporting CSVs to a separate outreach tool, no gluing together HubSpot and a LinkedIn automation sidecar.

Here’s what the “send” part looks like:

• Launch from the same dashboard where your list lives. Select your segment (e.g., “RevOps leaders”), attach the sequence, set the sending window (e.g., weekdays 8:00–11:00 AM and 2:00–4:00 PM local time), and go.
• Configurable delays. Your Day 1 note goes with the connection request. Day 3 message fires 72 hours after acceptance. Day 7 message fires another 96 hours later. You can adjust these in the sequencer settings.
• Sending & tracking live. Opens, clicks, replies, and connection‑acceptance rates all show up in a unified campaign view. You see how many people are moving through each touch.
• Prospect context on demand. While looking at a contact’s activity, a side panel shows their enriched profile — title, company, tools used, recent hiring — so you remember exactly why you reached out when they reply.
• Automatic un‑enrollment on reply. Already mentioned, but it’s a feature that prevents awkward over‑messaging.

Cost note: The sequencer is included on all paid Origami plans. You’re not paying “per sequence send.” You’re only paying for the credits you consume to enrich the leads themselves. On the free plan, you get 1,000 credits and can test the sequencer with a small batch; the free plan does not include the sequencer but you can still use the list. Paid plans from $29/month unlock the sequencer and higher credit pools.

What Response Rates to Expect

For a well‑refined look‑alike list like this, my personal experience in 2026 shows:

• Connection acceptance: 35–55% (with a relevant note)
• Reply rate on Day 3 follow‑up: 12–20%
• Positive response (call booked or request for info) by Day 7: 6–10%

These numbers assume you’re targeting 200–400 people from a tight segment. If you see lower numbers, iterate on the messaging before you change the list. If you see high acceptance but low replies, the list is good but the follow‑up angle needs work.

When to Iterate on Messaging vs. Iterate on the List

• Low connection acceptance (<25%): Your note is either too generic or your profile doesn’t look relevant. Try adding more specific trigger (e.g., “noticed you just hired a CRM admin”). Also check that your segment isn’t too broad.
• High acceptance but low reply rate: The problem is the Day 3 follow‑up. Test a different pain point — move from “data staleness” to “rep adoption” or “attribution gaps.”
• Replies are neutral or negative: The messenger (you) might seem transactional. Pause the sequence, engage with a few of their posts manually, then re‑approach with a softer note.

Rarely do you need to rebuild the entire list from scratch. Origami’s look‑alike engine usually finds the right companies; the weak link is almost always the message that doesn’t connect the dots for the recipient.

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