LinkedIn Outreach Campaign for Lusha vs Hunter.io Users: A 3-Touch Sequence You Can Steal in 2026
Run a high-converting LinkedIn outreach campaign for Lusha vs Hunter.io users in 2026. Steal our 3-touch sequence and send it directly from Origami's built-in sequencer.
Founder @ Origami
If you’ve already built a list of Lusha vs Hunter.io users using Origami, you’re ready to turn those names into real conversations. Origami has a built-in LinkedIn sequencer — included on all paid plans — that lets you send personalized connection requests and follow‑up messages without ever leaving the platform where you found, enriched, and qualified your leads. This guide walks you through refining that list, writing a high‑converting 3‑touch LinkedIn sequence tailored specifically to people who live inside Lusha and Hunter.io, and launching it all from Origami.
I’ve run this play multiple times in 2026 with teams that sell into sales ops, RevOps, and GTM leaders. The audience is sharp, they’ve already invested in contact data, and they’re quick to spot generic outreach. That means your list hygiene and your message copy have to be on point. Below is the exact workflow, including the sequence messages you can copy‑paste and start using today.
Step 1: Segment and Qualify Your Lusha / Hunter.io List for LinkedIn
You likely generated the list through Origami’s AI agent — using a single prompt like “Find Director‑level sales leaders at US‑based tech companies with 20‑200 employees, who are currently using Lusha or Hunter.io.” (If you haven’t done that yet, start with our guide on how to build a list of Lusha vs Hunter.io.) The output is a table of contacts with verified emails, phone numbers, LinkedIn profile URLs, job titles, company headcount, and sometimes even the tech stack or recent job changes.
Before you fire off any messages, refine the list for LinkedIn outreach. A big list without qualification will tank your acceptance rate and waste credits.
What a qualified lead looks like for this audience:
- Job title: VP/Director of Sales, Sales Operations, Revenue Operations, Head of SDR, or Founder at a small‑to‑midsize company.
- Company size: 10‑500 employees. Enterprise buyers rarely spend all day griping about Lusha’s data accuracy on LinkedIn; the sweet spot is the mid‑market leader who’s actively building pipeline and notices every bad number.
- Signals: They’ve been using Lusha or Hunter for at least 6 months (you can often infer from their title tenure and tool‑related posts) and they’ve shown frustration around “bad contact data,” “dead ends,” or “manual enrichment” — either in LinkedIn posts, comments, or the signal sources Origami incorporates.
- Activity: Open to new tools (following alternatives, engaging with data‑quality content, or having recently joined a company where they’re rebuilding the stack).
How to segment inside Origami: Open your list in Origami’s prospecting dashboard. Use the built‑in filters to zero in on the roles above and exclude anyone with a title like “Data Engineer” or “Marketing Manager” — they’re rarely the buyer for a contact‑data overhaul. Then sort by company headcount and add tags like “Tier 1” for your highest‑fit accounts. Origami lets you save these segments as dynamic lists, so you can adjust later without starting from scratch.
Remove contacts where the enriched data shows clear misfits: someone who just started at a company 2 weeks ago is unlikely to be the decision‑maker for ripping out Lusha. If a prospect’s company already uses an all‑in‑one GTM platform (and you can see that in Origami’s tech‑stack signals), they might not be in the same evaluation window. Delete or tag them as “nurture” and focus on the 100‑200 highest‑intent leads first.
This manual pass takes 20 minutes and is the single biggest lever for response rate.
Step 2: Create Your 3‑Touch LinkedIn Sequence
Origami gives you two ways to spin up a LinkedIn sequence for this audience.
Option 1: Paste your own templates. Write your own 3‑touch cadence, plug it into Origami’s sequencer, set delays, and hit Launch. The rest of this section gives you exact templates you can steal.
Option 2: Let the AI agent write it. Give Origami’s AI agent a simple instruction: “Write a 3‑touch LinkedIn sequence for my Lusha/Hunter prospect list. Keep it under 100 words per message, focus on data accuracy and workflow pain, and soft‑close for a 10‑minute chat.” The agent will generate a personalized sequence for every lead, pulling in their name, title, company, and even industry signals. You can then review and tweak the output before launching. It’s fast, and it makes each message feel custom.
Because you’re reading a tactical guide, I’m assuming you want full control. Here is the exact 3‑touch LinkedIn sequence I use when reaching out to people who rely on Lusha or Hunter.io. Messages are short, direct, and structured to start a conversation — not pitch a product.
Day 1: Connection Request + Note
Send immediately. This is the note that appears with your invite.
, saw you’re using Lusha/Hunter for contact data. Many teams I speak with are bumping into ceilings with accuracy and manual enrichment. Would love to hear your experience and share a smarter approach that’s saving teams hours per week. —
Character count: ~260 characters, well within LinkedIn’s 300‑character limit. No hyperlinks, no boastful numbers — just a curiosity hook and a hint that you have a better way.
Why it works: It acknowledges their tool choice without bashing it; it references a common pain (accuracy and manual work) without exaggerating; and it opens a peer‑to‑peer conversation rather than a sales pitch.
Day 3: First Follow‑Up Message
Triggered only if they accept your connection. Wait 2 days to avoid appearing thirsty.
Hey , thanks for connecting. I keep hearing from GTM leaders that Lusha and Hunter are great for quick lookups, but the contact data decays fast — leaving reps dialing dead numbers or emailing inactive inboxes. The teams I work with now use an AI‑driven system that verifies and enriches data right before outreach, and they run LinkedIn sequences from the same place. Curious if that’d be worth a 10‑minute peek.
Word count: 89 words. No hard sell. It names the architectural pain — data decay and manual workflows — without quoting a competitor’s specific stats. The “10‑minute peek” frames the ask as a low‑commitment info share.
Day 7: Final Follow‑Up Message
Give them breathing room. 7 days after Day 3.
, last idea from me. Most Lusha/Hunter users I speak with are leaning toward an all‑in‑one approach: discovering contacts, verifying them, and then automatically sending LinkedIn sequences from one window. No more exporting CSVs or juggling three tools. If that sounds interesting, I’m happy to show you the setup — no strings. If not, totally cool. Best of luck hitting your targets this quarter.
Word count: 75 words. It respects their time, restates the core value (unified workflow), and ends with a genuine “no pressure” close. People who are even slightly frustrated with their current tool often reply to this one.
Personalization tips: Use Origami’s custom variables to drop in , , and — if you’ve tagged their current tool — . If a lead’s profile mentions “data hygiene” or they recently posted about contact accuracy, you can swap in that trigger manually. The templates are your backbone; small tweaks make them sing.
Step 3: Send the Sequence Directly from Origami
All the magic happens inside Origami’s built‑in LinkedIn sequencer. No need to export your CSV, upload it to another outreach tool, or worry about syncing contacts.
How to launch:
- In your list dashboard, select the leads you want to sequence (or choose the entire “Tier 1” segment).
- Click “Create Sequence” and choose LinkedIn as the channel.
- Pick one of the two routes: paste in the templates from Step 2, or let the AI agent write the sequence for you.
- Set your delays: Day 1 (connection request), Day 3 (follow‑up 1), Day 7 (follow‑up 2). You can adjust these — for prospects who appear in‑market, I sometimes use a Day 1 / Day 2 / Day 5 cadence.
- Hit “Launch.”
What happens next: Origami’s sequencer will send the connection requests and messages automatically, respecting LinkedIn’s safe sending limits so you don’t get flagged. Each touch is recorded in your campaign dashboard: sent, accepted, opened, clicked, replied.
The dashboard keeps everything in one place. While you’re looking at a contact’s activity, you can still see their enriched profile — title, company size, tech‑stack signals — so you always know exactly why you reached out. When someone replies, Origami automatically un‑enrolls them from the rest of the sequence. You won’t send a “breaking up” message two days after they’ve already booked a meeting.
Pricing note: The LinkedIn sequencer is included on all paid plans at no extra cost. You only pay for the credits you use to enrich leads (finding and verifying those contacts). Once the list is built, the sending is free. Free‑plan users get 1,000 enrichment credits with no credit card, so you can test the full workflow — from list building to sending sequences — before upgrading.
What Response Rates to Expect (and When to Iterate)
For this audience in 2026, a well‑targeted list of 150‑200 Lusha/Hunter users typically yields:
- Connection acceptance rate: 25‑35%
- Reply rate (accepted connections): 10‑15%
- Meeting booked rate: 3‑6%
These numbers are based on campaigns I’ve run for teams selling sales intelligence and GTM automation. Yours will vary depending on your brand, your landing page, and how aggressively you’re targeting high‑intent signals.
When to tweak the messaging: If your acceptance rate is below 20% after 5 days, first check your list quality — are you accidentally reaching out to people who just started a new job or who are clearly not decision‑makers? If the list is solid, test a different connection note. Try a more curiosity‑driven opener or remove the tool name and focus purely on a recent LinkedIn post they made.
If your reply rate on Day 3 is low (under 8%), look at the follow‑up message. It might be too long or too solution‑focused. Condense it, make it even more about their pain, and include a specific question like “What’s your biggest gripe with contact data right now?”
When to iterate on the list instead: If you’ve A/B tested messages and still aren’t seeing traction, your segment is likely too cold. Go back to Origami and add stronger intent signals: look for people who changed jobs in the last 6 months, who commented on posts about “data decay” or “enrichment,” or who follow alternative creators in the space. Rebuild the list with those filters and launch a fresh mini‑sequence.
Next Steps
If you already have your list, open Origami, plug in the templates above, and send your first sequence. If you haven’t built the list yet, head to our companion guide: how to build a list of Lusha vs Hunter.io. Once that’s done, come back here and run the campaign. One platform, from list to live LinkedIn touches. That’s how B2B outreach works in 2026.