How to Run a LinkedIn Outreach Campaign Targeting Growth Marketers at Web3 AI Companies (2026)
Step-by-step guide to running a LinkedIn sequence for growth marketers at Web3 AI companies using Origami's built-in sequencer. Includes message templates, qualification tactics, and sending steps for 2026.
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How to Run a LinkedIn Outreach Campaign Targeting Growth Marketers at Web3 AI Companies (2026)
Quick Answer: You can run a complete LinkedIn outreach campaign to Growth Marketers at Web3 AI companies using Origami, which has a built-in LinkedIn sequencer (free on all paid plans). Here's a tactical, step-by-step guide using Origami’s platform — from refining your list to sending personalized, multi-touch sequences — based on real campaigns we’ve run in 2026.
If you haven't built your prospect list yet, start with our guide on how to find growth marketers at Web3 AI companies. That post walks through building a verified list inside Origami. This companion guide assumes you already have that list — or at least know how to get one — and focuses entirely on the outreach that turns a spreadsheet into conversations.
We'll go step by step: refining your list for LinkedIn, crafting a 3-touch message sequence written specifically for this audience, and launching everything from inside Origami so you never leave the platform. No jumping between tools, no exporting CSVs.
Step 1: Build the List in Origami (Quick Refresher)
If you already followed the parent guide, your list is sitting in your Origami account. If not, you can build one in under two minutes. The prompt you'd type into Origami is something like:
Find me Growth Marketers at Web3 AI companies in the US, company size 10–200 employees, using tools like HubSpot or Customer.io. Return verified emails and LinkedIn profiles.
Origami’s AI agent searches the live web, chains data across sources, and returns a clean list of contacts with:
- Full name
- Job title
- Verified email address
- LinkedIn profile URL
- Phone number (where available)
- Company details (industry, size, funding, tech stack)
Even on the free plan (1,000 credits, no credit card required), you can generate a solid seed list. But raw lists need refinement before you push them into a sequence, especially in the tight-knit Web3 AI space where targeting must be surgical.
Step 2: Refine and Qualify Your List for LinkedIn
You wouldn’t serve the same message to a Head of Growth at a DeFi AI network and a Growth Marketer at an NFT infra startup. Yet most campaigns treat “Web3 AI marketer” as a monolith. Don’t.
1. Title tightening
Inside Origami, filter your list to show only these title patterns:
- Growth Marketer
- Growth Lead
- Head of Growth
- Growth Manager
- Director of Growth
- VP of Marketing (only if the company is pre-Series A — larger orgs often separate growth from brand)
Remove generic “Marketing Manager” or “CMO” titles unless you have evidence they own user acquisition. In Web3 AI, job titles are still fluid, so a “Growth Wizard” might be your best contact, but you'll verify that later.
2. Company stage segmentation
Break your list into two buckets:
- Early-stage (Seed, <20 employees): These marketers are likely doing everything — writing content, running quests, hacking growth loops. Their pain: proving ROI with no budget.
- Scaling (Series A, 20–200): They have a team and tools, but are under pressure to show CAC efficiency as the market demands profitability. They’re hungry for automation that doesn’t break composability.
Segmenting now means you can tweak the follow-up messages slightly later (e.g., reference “small team” vs “blitzscaling”).
3. Niche alignment
Filter by Web3 vertical if your product serves a specific corner:
- DeFi AI (on-chain analytics, MEV protection, automated market making)
- NFT / gaming AI (dynamic asset generation, personalized quests)
- Infrastructure AI (co-processors, zkML, verifiable inference)
A growth marketer at a DeFi AI protocol cares about retention via token incentives; at an NFT platform they obsess over wallet activation. Knowing this lets you write messages that sound like you belong in their Telegram.
4. Qualification signals
A qualified lead isn’t just someone with the right title. In Origami, look at each contact’s enriched tech stack. A strong signal: they use tools like HubSpot, Customer.io, or Segment — meaning they’re actively running campaigns and have a pipeline. Even better if you see a CRM like Pipedrive or Salesforce, because that tells you they measure attribution.
Also check for recent job changes. A growth marketer who just joined a Web3 AI startup three months ago is in “prove it” mode — they’ll be more open to experimenting with new tools than someone entrenched.
When you’ve cleaned the list, you should have 50–200 high-fit profiles, each with verified LinkedIn URLs. Now the real work: messages they’ll actually reply to.
Step 3: Create a 3-Touch LinkedIn Sequence That Converts
Origami gives you two paths: paste your own templates, or let the AI agent write personalized messages for every lead. Both run inside the same built-in sequencer.
Option 1: Paste Your Own Templates
If you know this audience cold, write a sequence once and drop it into Origami. You set the delays between touches (Day 1, Day 3, Day 7, or whatever cadence you want) and hit “Launch.” Origami will personalize name, company, and any custom variables you include.
I’ve run dozens of campaigns targeting Web3 AI growth folks. Below is the exact 3-touch sequence that consistently gets replies — and everything you need to steal it.
Touch 1: Connection request (Day 1 – sent as note with invite)
Hi , your growth experiments at caught my eye — particularly how you’re weaving on-chain behavior into personalized campaigns. I’m building tools that help Web3 marketers turn those signals into qualified leads. Would love to connect and trade notes on what’s working. No pitch, just curiosity.
Why it works: The mention of “on-chain behavior” signals you’re native to Web3, not a generic SaaS seller. You’re offering an exchange of ideas, not a demo.
Touch 2: Follow-up message (Day 3 – sent only after they accept)
Hey , hope you’re having a productive week. I saw is leaning into AI agents for user onboarding. Curious how you measure success there — we’re seeing some teams get 3x conversion when agents personalize the first 7 days. No pitch, just geeking out. Open to a 15-min call if you’d like to swap tactics?
Why it works: It references a specific trend (AI agents for onboarding) and cites a loose benchmark without claiming a data study. It’s a genuine question, not a value prop in disguise.
Touch 3: Final message (Day 7 – soft close)
Hi , last ping from me. If you’re still heads-down, I get it. But if growth at ties into what we do (AI-powered lead gen that cuts CAC for Web3 companies), I’d be happy to share a real case study from a DeFi platform that doubled qualified trials. Either way, keep building — love what you’re putting out there.
Why it works: The soft close invites curiosity without pressure. The phrase “doubled qualified trials” is concrete and implies you have proof, not slideware. Signing off with “keep building” respects their time and signals no hard feelings.
Every message lands between 50 and 80 words — short enough to read in a notification, long enough to show you’ve done your homework.
Option 2: Let Origami’s AI Agent Write It
If you want speed, simply instruct Origami’s AI: “Write a personalized 3-day LinkedIn sequence for Growth Marketers at Web3 AI companies.” The agent will generate a unique sequence for each lead based on their enriched profile — title, company, industry, tools used, even recent funding announcements.
You can review and edit any message before sending. It’s a time-saver when your list is large and you need personalization at scale without writing dozens of variations.
Step 4: Send the Sequence Directly from Origami
This is where Origami stops being a list-building tool and becomes your full outreach cockpit. With your qualified list and sequence ready:
- Open the list inside Origami.
- In the “Sequences” tab, create a new LinkedIn sequence.
- Paste your three templates (or select the AI-generated draft).
- Set your touch delays: Day 0 for the connection request, Day 3 for the first follow-up, Day 7 for the second.
- Click Launch.
Origami’s built-in LinkedIn sequencer handles everything from here:
- Sends connection requests with personalized notes.
- Monitors acceptance. Once a lead accepts, it starts the follow-up clock.
- Delivers follow-up messages on the exact days you set.
- Tracks every event: connection accepted, message opened, link clicked, reply received.
- Automatically un-enrolls contacts who reply, so they never get a follow-up message after a conversation has started.
All of this happens on the same dashboard where you built and refined your list. While you’re reviewing a contact’s activity, you can still see their enriched profile — job title, company description, tools — so you know exactly why you targeted them and can personalize any manual reply.
No exporting CSVs. No syncing with third-party sequencers. One platform carries you from search to sent.
Cost reality: The LinkedIn sequencer is included on all paid plans. You only pay for the credits you used to enrich leads in Step 1. The sending is free. If you’re on the free plan, you can still build the list and export it, but you’ll need a paid plan ($29/month) to activate the sequencer.
What response rate should you expect?
For this audience, a well-refined list with the sequence above typically sees:
- Connection acceptance: 20–30%
- Reply rate: 5–10%
If your connection acceptance dips below 20%, tweak the connection note first — maybe swap “on-chain behavior” for a different Web3-specific trigger (e.g., “how you’re using questing to activate wallets”).
If replies are low but acceptance is fine, iterate on the Day 3 message. The first follow-up is where most campaigns live or die. Keep the “no pitch” tone and test different hooks — mention a new funding round, a protocol upgrade, or a case study reference.
If leads are replying but not converting to a call, your list might be right but your offer isn’t sharp enough. Tighten the soft close. “Doubled qualified trials” works; find your own equivalent metric that resonates.