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How to Run a LinkedIn Outreach Campaign for Lusha vs Demandbase Prospects in 2026

Step-by-step guide to refining and sequencing LinkedIn outreach to Lusha vs Demandbase buyers using Origami’s built-in sequencer, with copy-paste templates.

Finn Mallery
Finn MalleryUpdated 11 min read

Founder @ Origami

You’ve built a targeted list of RevOps and Sales Ops leaders weighing Lusha versus Demandbase using Origami (if you haven’t, here’s how to build that list). Now you need to run the actual LinkedIn outreach campaign. The good news: Origami has a built-in LinkedIn sequencer, so you can refine, sequence, send, and track everything without leaving the same platform. No exporting CSVs, no juggling tools.

In this guide, I’ll walk you through how to qualify that list for LinkedIn, give you a complete 3‑touch sequence with copy you can steal today, and show you exactly how to launch and measure it inside Origami. These are the steps I use when I run this exact campaign for audiences comparing Lusha and Demandbase, and I’ll tell you what response rates to expect and when to iterate.


Step 1: Build the list in Origami (if you haven’t already)

This post assumes you grabbed the list from the parent guide. But if you’re starting fresh, here’s the one-sentence prompt you’d type into Origami:

“Find me sales operations, revenue operations, and marketing operations leaders at mid‑market and enterprise B2B companies who are currently using Lusha or evaluating Demandbase, are active on LinkedIn, and have recently discussed data enrichment, ABM, or intent data challenges.”

Origami’s AI agent then searches the live web, chains data sources, enriches contacts, and qualifies leads—all from that single prompt. You’ll get a list with verified names, email addresses, phone numbers, titles, company details, and LinkedIn profile URLs. The free plan gives you 1,000 credits (no credit card required), so you can test the whole workflow without paying a cent.

But because you’ve already built the list using the steps in the parent post, you can jump straight to refining it for LinkedIn.


Step 2: Refine and qualify the list for LinkedIn outreach

A raw list isn’t a campaign. Before you write a single message, you need to segment and qualify the leads specifically for LinkedIn. In Origami, your list comes with enriched fields like job title, company size, industry, location, and often tools used. Use those to create sub‑lists that will receive different messaging.

What to look for when refining

For a Lusha vs Demandbase audience, I break the list into at least three buckets:

  1. Active Lusha users – easy to spot by LinkedIn activity referencing “contact data,” “data decay,” or low match rates. These prospects are feeling the pain of stale email and phone data.
  2. Demandbase evaluators or power users – they talk about ABM, intent signals, advertising integration, and often mention frustration with platform complexity or cost.
  3. Neutrals doing due diligence – they’ve checked out both but haven’t committed. You’ll see them asking questions in RevOps communities or posting about “sales intelligence stack 2026.”

I further segment by company size (50–200 employees vs. 200–1,000+), role seniority (Manager vs. Director/VP), and location if I’m geo‑targeting. The more granular your segments, the sharper your LinkedIn messages will feel.

What “qualified” looks like for this audience

A qualified prospect is someone who:

  • Has recently engaged with content or conversations about Lusha, Demandbase, or alternative solutions.
  • Is in a role that owns or influences the data/tools budget (Sales Ops, RevOps, Marketing Ops, VP Sales).
  • Is at a company that’s large enough to have an active outreach motion (typically 20+ employees, but mid‑market is the sweet spot).

In Origami, you can label and filter directly in the list view. Remove anyone whose job title doesn’t align, then double‑check LinkedIn profiles for signs of career changes or the wrong ICP. Once your segments are clean, you’re ready to write your sequence.


Step 3: Create the LinkedIn outreach sequence

Two ways to build your sequence inside Origami

Origami gives you two options for crafting LinkedIn sequences, and both sit inside the same platform where you built your list.

  1. Paste your own templates. Write a 3‑touch sequence you trust, copy it into the Sequencer, set the delays between touches (Day 1, Day 3, Day 7—or whatever cadence you want), and hit “Launch.” This is ideal when you have messaging you’ve already tested.
  2. Let the AI agent generate it. Ask Origami’s AI to create a personalized 3‑day LinkedIn sequence for all your leads automatically. The agent pulls each lead’s profile data—title, company, industry, recent posts—and writes unique messages so every touch feels custom. You can still edit the templates after generation.

For this guide, I’m giving you battle‑tested templates you can paste directly into Option 1 or use as a starting point for the AI.

The full 3‑touch sequence: copy‑paste ready

This sequence is designed for the “Active Lusha users” and “Neutrals” segments. It references real pain points—Lusha’s data decay and Demandbase’s heavy platform—without sounding like a generic pitch. The messages are between 50–100 words each, direct, and leave room for a genuine conversation.

Day 1: Connection request with a note

Subject line (the note that accompanies your connection request):

Quick thought on the Lusha / Demandbase eval

Message:

Hey , saw you’ve been comparing Lusha and Demandbase. A lot of ops teams hit a wall: Lusha contacts decay fast and Demandbase demands a massive platform adoption lift. We built Origami so you can describe your ICP in plain English, and our AI agent hunts the live web for current emails and intel—no data uploads. Happy to connect and share how it works if you’re open to it.

Why this works: It acknowledges their current evaluation, names a specific frustration with both tools, and hints at a simpler alternative—without asking for a meeting yet.

Day 3: Follow‑up message (different angle)

Subject line:

The orchestration gap between Lusha and Demandbase

Message:

Hey , hope the evaluation’s going well. One gap I see teams stumble on: Lusha gives you contact data but no intent, and Demandbase gives you intent but often skips the verified direct contacts you need to act on it. Origami ties the two together—type an ICP, our agent enriches both firmographic and live contact records, and you can launch LinkedIn sequences in the same flow. Want me to send a 2‑minute screen share that shows the difference?

Why this works: It doesn’t just compare features; it points out a workflow gap that neither tool solves alone, then positions Origami as the bridge. The CTA is low‑friction.

Day 7: Final message (soft close)

Subject line:

One last note

Message:

Hi , last message from me. If you’re still weighing Lusha vs Demandbase, I’d recommend a quick Origami test—free, 1,000 credits, no CC needed. You can build a list of your actual ICP contacts, enrich them from live web searches, and run a LinkedIn sequence without switching platforms. That’s been the fastest path for ops teams to replace two tools with one. Would a 10‑min screen share help, or should I let you explore on your own?

Why this works: It’s a genuine soft close that puts the choice in their hands, offers immediate value (free pilot), and treats a “no” with dignity. The option to self‑explore respects busy ops professionals.

Pro tip: If you’re messaging Demandbase power users, tweak the Day 3 message to call out “advertising‑grade intent” vs “operational account intelligence,” and shift Day 1 to mention “simplifying the ABM stack.” The core structure stays the same.


Step 4: Send the sequence directly from Origami

Launching without ever leaving the platform

This is where Origami’s built‑in LinkedIn sequencer changes the game. After you’ve refined your list and chosen (or written) your sequence, you:

  1. Select the prospect segment you want to target.
  2. Assign the 3‑touch sequence, configure your delays (I use Day 1, Day 3, Day 7 for this audience—ops folks need room to breathe).
  3. Hit “Launch.”

The system takes it from there. Connection requests go out with personalized notes, and follow‑ups slide into LinkedIn messaging once a connection is accepted. No exporting to a CSV, no syncing with a separate outreach tool, no manual copy‑pasting. If a lead replies at any point, Origami automatically unenrolls them from the sequence—so you never accidentally send a “breakup” message after someone books a meeting.

Sending & tracking

Inside the same dashboard where you built your list, you get a live feed of what’s happening:

  • Opens and clicks on any links you included (though LinkedIn limits granular tracking, Origami shows you engagement whenever possible).
  • Replies appear in‑line with each lead’s history.
  • Sequence status for every contact—day in sequence, connection accepted, reply received.

What makes this powerful is the prospect context. While reviewing a reply, you can still see the enriched profile Origami originally pulled: title, company, tools used, firmographic signals. You remember exactly why you reached out, so your response stays relevant.

What to expect: response rates for this audience

When I run this exact campaign targeting ops leaders evaluating Lusha vs Demandbase, I typically see:

  • 40–55% connection acceptance rate because the message acknowledges their current search and doesn’t scream “automated spam.”
  • 8–15% reply rate on the connection note alone; another 5–10% trickle in after the Day 3 follow‑up.
  • 3–7% meeting‑book rate from those replies, usually after the Day 3 or Day 7 touch.

These numbers assume your list is well‑qualified and your LinkedIn profile isn’t a blank page. If acceptance rates drop below 30%, iterate on the connection note first. If you’re getting connections but no replies, iterate on the Day 3 message or test a shorter delay between Day 1 and Day 3 (ops audiences sometimes respond better to a Day 2 follow‑up).

When to iterate on messaging vs. iterate on the list

  • Iterate on messaging when acceptance rates are healthy (>40%) but replies are low. The note is building trust, but the follow‑up isn’t converting.
  • Iterate on the list when acceptance rates are poor across multiple segments. That usually means your ICP filters aren’t tight enough, or you’re reaching people who are merely researching rather than actively buying.

Use Origami’s segmentation to run small A/B tests. With a built‑in sequencer that costs nothing to send (you only pay for credits to enrich leads; the sending is free on all paid plans), you can test variations without financial risk.


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