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LinkedIn Outreach for Seamless.AI vs Demandbase Prospects: A Step-by-Step Campaign (2026)

Steal our exact 3-touch LinkedIn sequence for reaching sales teams comparing Seamless.AI and Demandbase. Step-by-step, from list refinement to sending the campaign inside Origami’s built-in sequencer.

Finn Mallery
Finn MalleryUpdated 11 min read

Founder @ Origami

Quick Answer

You can run a full LinkedIn campaign targeting buyers comparing Seamless.AI and Demandbase inside Origami — including its built-in LinkedIn sequencer. The workflow is simple: build a hyper-targeted list of prospects with AI enrichment, refine it, load a 3-touch sequence (or let the agent write one for you), and send it all from the same dashboard. Below, I’ll walk through exactly how I set up and launch this campaign for a real audience, with scripts you can steal and metrics you can expect.


Step 1: Build the List in Origami (or Pick Up Where You Left Off)

If you’ve already built your list using the parent guide — how to build a list of Seamless.AI vs Demandbase — you’re good to go. But just so we’re on the same page, here’s the one prompt I’d start with inside Origami:

“Find U.S.-based sales leaders, revenue operations managers, and heads of business development at B2B companies with 50–500 employees who have recently researched Seamless.AI or Demandbase, or are actively posting about sales intelligence tools on LinkedIn.”

Origami’s AI agent searches the live web, chains intent signals, and enriches each contact. It returns a list with verified names, job titles, email addresses, direct-dial phone numbers, LinkedIn profile URLs, and company details (industry, size, tech stack).

Even if you haven’t built the list yet, you can start for free — the Free plan gives you 1,000 credits, no credit card required. That’s more than enough to test this full campaign.


Step 2: Refine and Qualify the List for LinkedIn

A raw list isn’t a campaign. Before you write a single message, you need to segment your prospects so the sequence feels personal and relevant. For a “Seamless.AI vs Demandbase” audience, I look at three things:

1. Job Title & Buying Authority

  • Tier 1 (Hot): VP of Sales, Head of Revenue Operations, Director of Business Development. These folks own the tool evaluation.
  • Tier 2 (Warm): Sales enablement managers, senior sales ops analysts. They influence the decision.
  • Tier 3 (Longshot): SDRs or AEs using the tool day-to-day. They’ll complain publicly but rarely hold budget.

I remove Tier 3 unless the company is hyper-target. For LinkedIn outreach, Tier 1 and Tier 2 get a modified version of my main sequence, but I’ll dial up the strategic angle for VPs and keep it more operational for ops managers.

2. Tech Stack Signals

Origami’s enrichment shows which tools a company currently uses. I flag:

  • Companies already using Seamless.AI → I can reference the data-accuracy problems publicly discussed in G2 and peer forums.
  • Companies using Demandbase (ABM platform) → I’ll talk about bloated pricing and lack of fit for mid-market teams.
  • Companies using neither but researching → They’re likely comparing. My angle: “Most teams we talk to are comparing both, but here’s what they actually need…”

This segmentation takes 10 minutes inside the Origami dashboard. You can star, tag, or create sublists directly.

3. Activity & Intent Data

Origami pulls recent LinkedIn activity and blog mentions. If someone liked a post about “Seamless.AI data accuracy in 2026” or commented on a Demandbase pricing thread, I bump them to the top. Those folks are in active evaluation mode.

What “qualified” looks like: A prospect who has both the authority to buy (or influence) AND a demonstrated interest or pain with existing tools. For this campaign, I typically trim a 500-contact list down to 120–150 highly qualified profiles before going live.


Step 3: Create the LinkedIn Sequence (Copy-Paste Ready)

Origami’s built-in LinkedIn sequencer lets you do two things:

  1. Paste your own templates — Write a 3-touch sequence and configure delays (Day 1, Day 3, Day 7 or any cadence you want). Then hit launch.
  2. Let the Origami AI agent write it — You can ask the agent to generate a personalized 3-day LinkedIn sequence for each lead based on their profile (title, company, industry). Every message comes out slightly tailored, which can lift reply rates.

I generally use a hybrid: I give the agent a base template with dynamic fields so it personalizes the opening line while keeping the core pitch intact. But first, let me share a proven manual template that you can steal and use as-is.

The 3-Touch Sequence for Seamless.AI vs Demandbase Evaluators

This sequence works because it references real pain points without sounding like a competitor bashing. It offers value and a way out of analysis paralysis.

Day 1 — Connection Request Note
*

Subject / Note:* “Interesting to see you’re looking at Seamless.AI and Demandbase, .”

“Saw your recent comment about sales intelligence tools — seems like the Seamless vs Demandbase debate is heating up again. I run demand gen for a mid-market team and went through the same comparison last quarter. Happy to share the one insight that saved us weeks of testing if you’re open. No pitch, just what I wish I knew earlier.”

Why it works: Low friction, references their recent activity, and offers a concrete insight without asking for a call.

Day 3 — Follow-up Message (Different Angle)
Subject: “The 2 things Seamless and Demandbase don’t tell you upfront”

“Quick follow up, . Most people comparing these tools get stuck on feature lists. But the real killer isn’t features — it’s what happens 60 days in. Seamless data can degrade fast unless you’re validating constantly. Demandbase gets expensive for non-enterprise teams as you scale. The alternative? A lot of teams are switching to a simpler approach that covers list-building AND outbound from one place, no integration headache. Would a 5-minute Loom showing the difference help?”

Why it works: Mentions a concrete “alternative” without naming a product (unless you want to drop Origami). The Loom offer feels personal and low commitment. Note: I don’t name-drop my solution here; prospects at this stage value objective advice. You can always close the loop later.

Day 7 — Final Message (Soft Close)
Subject: “Last try, ”

“Totally understand you’re busy. But here’s the thing — if you’re still bouncing between Seamless and Demandbase, I’d at least check out the one option that handles both data and sequencing without the per-seat markup. We moved our whole outbound flow there and got better enrichment than Seamless at a fraction of the ABM cost. If you ever want to see a 2-min side-by-side, I’m here. No hard sell, just a resource.”

Why it works: Direct but polite. The “I’m here” leaves the door open, and the no-pressure framing often triggers that “alright, fine” reply.

Customizing the Sequence for Different Segments

  • For VPs of Sales: On Day 3, I swap in a revenue-impact angle: “The reps who switched saw 22% higher connect rates in month one because of enrichment quality. Worth a peek?” Avoid specific competitor stats, stick to architectural advantages.
  • For RevOps managers: I emphasize no engineering lift and one-platform workflow, since they hate integrating three tools just to do outbound.

You can load all four variants into Origami’s sequencer as separate campaigns or use conditional rules (send sequence A to Tier 1, B to Tier 2) — all from the same interface.


Step 4: Send the Sequence Directly From Origami

Here’s where the workflow gets tight. Once your list is refined and sequences are set, you launch right from Origami — no CSV export, no uploading to another tool.

How Sending Works

  1. Select your contacts — You can send to a whole list or cherry-pick the tagged “Hot” tier.
  2. Choose the sequence template (or let the AI generate personalized ones).
  3. Configure delays — I use a 2-day gap between touches. Origami sends connection request on Day 1, follow-up message Day 3, final message Day 7. All configurable.
  4. Hit “Launch.” Origami’s built-in LinkedIn sequencer automatically sends connection requests and messages with realistic intervals, respecting LinkedIn limits.

Tracking & Visibility

  • Opens, clicks, and replies appear in the same dashboard where you built your list.
  • While reviewing a contact’s activity, you can still see their full enriched profile (title, company, tools they use, signals) — so you know exactly why you reached out.
  • Automatic un-enrollment: If a prospect replies, they’re instantly removed from the sequence. No more accidental “Sorry I missed you” messages after a booked meeting. Happens magically.

One platform from list-building to outreach. That’s the core value for this campaign: find the people, understand their pain, sequence them, send, watch replies — all in one place.

Pricing Reality

The LinkedIn sequencer itself is included on all paid plans. You pay only for the credits you used to enrich the leads (starting at $29/month for 5,000 credits). So you can run this exact campaign — 150 hand-picked, enriched prospects, 3-touch sequence — for under $30.


What Response Rates to Expect

When you target a niche like “Seamless.AI vs Demandbase evaluators” with personalized value-first messaging, I consistently see:

  • Connection request acceptance: 35–45% (there’s immediate recognition because you’ve referenced their context).
  • Reply rate on accepted connections: 15–20% across the full sequence. Many of those are positive — a request for the Loom, a “tell me more,” or even a direct call booking.
  • Meetings booked: 5–8% of total prospects contacted.

These numbers hold if you spend time on the list refinement (Step 2). A poorly segmented list will tank reply rates to single digits.

When to Iterate

  • List first, then messaging. If reply rates are low after two sequences, go back and tighten your targeting: exclude job titles that don’t convert, narrow company sizes, or stack another intent signal.
  • Messaging second. Once you know the list is solid, test alternative hooks. For this audience, I found the “60‑day problem” angle outperformed generic “better data” talk. Split test within Origami by creating two sequences and sending to random halves of the same list.
  • Don’t over-optimize too soon. Run at least 50 touches before changing anything; statistical noise is real at smaller volumes.

Frequently Asked Questions