LinkedIn Outreach for Shopify Brands with Complex Support Ops: A Tactical Campaign Guide (2026)

Quick Answer: Origami has a built-in LinkedIn sequencer that sends personalized multi-touch campaigns directly from the platform where you built your list. No exporting CSVs, no switching between tools. In 2026, you find decision-makers at Shopify brands with complex support operations, craft a sequence, and launch it—all inside Origami.

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You already used Origami to build a list of decision-makers at Shopify brands with complex support operations (if not, grab the walkthrough here). Now you have a list of 100, 200, or 500 contacts—each with verified names, emails, phone numbers, titles, company details, and enriched signals like tech stack and team size.

The next move is turning that list into conversations. That’s where most campaigns stall. Not because the list is bad, but because the outreach isn’t built for this audience. Shopify brands running complex support operations are different. They’re drowning in tickets, juggling multiple help desks, and desperate to maintain brand voice while scaling—but they’re also skeptical of generic pitches.

This guide is the companion to list-building. It’s the exact LinkedIn outreach campaign I’ve run and refined for decision-makers at Shopify support teams in 2026. You’ll walk away with:

• How to segment your Origami list so only the right people see your sequence
• A full 3-touch LinkedIn sequence with copy you can steal (no bullet points, real messages)
• How to send it directly from Origami’s sequencer and what response rates to expect

Let’s get tactical.

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Step 1: Refine and Segment Your List for LinkedIn Outreach

Your raw prospect list from Origami is already powerful—names, titles, company names, and enrichment data like which help desk tools they use, how many support agents they employ, and whether they’re growing headcount. But not every contact deserves the same sequence, or even a spot in the campaign.

Before you write a single message, spend 15 minutes inside Origami’s list view to sharpen your target.

Who exactly are the decision-makers?

A “decision-maker at a Shopify brand with complex support operations” typically falls into one of these roles:

• VP/Director/Head of Customer Experience (CX) – owns the support strategy and budget
• Director/Head of Support Operations – responsible for tooling, workflows, and agent performance
• Senior Manager, Customer Support – often the day-to-day lead who influences tool purchases
• Founder/CEO (at smaller brands, <$10M rev) – still heavily involved in ops decisions

Titles like “Customer Success Manager,” “Team Lead,” or “Support Agent” usually don’t hold purchase authority. Remove them unless Origami’s enrichment signals they have budget influence (e.g., tagged as “manages team of 5+ agents”).

Segment by support complexity

Since your audience is specifically brands with complex support operations, not just any Shopify store, you need to filter for signs of complexity. Origami enriches contacts with tech stack data, so you can segment by:

• Multiple help desk tools – e.g., they use both Gorgias and Zendesk, or have live chat, email, and social support spread across platforms
• Ticket volume indicators – if the enrichment shows they have more than 15 support agents, they’re likely handling thousands of tickets monthly
• High SKU count or multi-brand setups – culled from company description and tools used (like a PIM or ERP integration)
• International support – they have a presence in multiple languages or regions, which complicates routing

In Origami, create tags for “High Complexity” and “Mid Complexity.” High Complexity contacts get the most aggressive sequence. Mid Complexity gets a slightly softer opener. You can even segment by tool: “Gorgias shops” vs. “Zendesk shops”—that little detail becomes a powerful personalization lever later.

What a “qualified” lead looks like

A contact is qualified for this campaign if:

• Their title indicates they own or heavily influence support operations decisions
• The company is a Shopify brand (Origami verified this)
• Enrichment data confirms they’re managing a support team of at least 5 agents
• They are currently using at least one help desk platform
• They’ve recently posted about support challenges, or their company is hiring for support roles (a buying signal)

If a contact doesn’t meet these, skip them or move them to a nurture list. Quality over quantity. A tight list of 50 qualified leads will outperform 500 unqualified ones every time.

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Step 2: Create the LinkedIn Outreach Sequence

Now the fun part: the messages. In Origami, you have two ways to build your sequence.

Option 1: Paste your own templates – Write out a 3-touch sequence with your own copy. Set the delays between messages (I use Day 1, Day 3, Day 7) and hit “Launch.” You control every word.

Option 2: Let the Origami agent write it – The AI agent can generate a personalized 3-touch LinkedIn sequence for every lead automatically. It pulls from each contact’s enriched profile (title, company, industry, tools used) to craft messages that read like they were handwritten. You can review and tweak before sending, or just let it run.

For this audience, I’ve tested both. The absolute best results came from combining the two: I let the agent draft the first version, then I refined it with the tone and pain points I know hit home. But if you want a plug-and-play sequence right now, here’s the exact messaging that’s working for me in 2026 when targeting decision-makers at Shopify brands with complex support operations.

The 3-touch LinkedIn sequence

Day 1 – Connection request with note

LinkedIn only gives you 300 characters for the note, so make them count.

Hi [First], saw you lead support ops for [Company]. I help Shopify brands streamline complex support stacks—usually cuts cost without hurting CX. Would be great to connect. - [Your Name]

Why it works: It’s specific to their role, mentions Shopify (their world), and hints at a value proposition without overpromising. The reference to “complex support stacks” resonates because they know their ops aren’t simple. You’re not pitching yet—just planting a seed.

Day 3 – Follow-up message (InMail or DM once connected)

Subject: Quick thought on [Company]’s support stack

Hey [First], since we connected, I noticed you’re likely juggling multiple help desks (Gorgias, email, chat). Most Shopify brands with complex ops we work with face the same scaling challenges—fragmented data, rising ticket volumes, and pressure to keep CSAT high.

We helped a brand similar to yours cut per-ticket cost by 30% while maintaining a 95% CSAT. I’d be happy to share that case study and see if anything applies. Worth a 15-min call?

Why it works: It references a specific observation about their setup (if your Origami enrichment shows they use Gorgias, you mention Gorgias; if Zendesk, swap it). The concrete metric (30% cost reduction) gives credibility. No buzzwords, just a clear problem → generic solution → ask.

Day 7 – Final message (soft close)

Subject: Last note on [Company]’s support ops

Hi [First], I know you’re busy. If now isn’t the right time, I’ll step away.

But I wanted to leave one thought: the best support teams in Shopify are moving to AI-assisted workflows that don’t sacrifice the human touch. That’s exactly what we build. If you’re ever curious how that could work for [Company], I’m around.

Best, [Your Name]

Why it works: It respects their time and removes pressure. It plants a future-oriented idea (AI-assisted but human-centric) that ties into their ongoing challenge. It’s not a breakup email—it’s an open door. Many replies come after this message, sometimes weeks later, when the pain spikes.

Tip: Replace the generic “AI-assisted workflows” reference with whatever your solution actually does—automated ticket routing, agent assist, self-service deflection—whatever is most relevant. The point is to mirror the shift they’re already thinking about.

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Step 3: Send the Sequence Directly from Origami

This is where Origami saves you from the usual multi-tool headache. You’ve already built the list, enriched contacts, and segmented them—all inside the same platform. Now you launch the LinkedIn sequence from that exact dashboard.

How sending works in Origami’s LinkedIn sequencer

1. Create your sequence – Paste the templates above or let the AI generate them. Map the dynamic fields: , , `` (if enriched), etc. Origami pulls these straight from the enriched profile data, so every message feels personal.

2. Set the delays – I use Day 1 (immediate connection request), Day 3 (first follow-up), Day 7 (final message). You can adjust to Day 1, Day 2, Day 5 if your audience is more responsive. Delays are configurable per step.

3. Launch – Click send. Origami’s built-in sequencer sends connection requests and follow-up messages automatically. It respects LinkedIn’s limits and throttles so you don’t get flagged. No need to export a CSV, upload to a different tool, or manually send anything.

4. Track everything – As the campaign runs, you see opens, clicks, and replies in the same dashboard where you built the list. Click on any contact and you can still see their full enriched profile—title, company, tools used, job changes—so you always know why you reached out.

5. Automatic un‑enrollment – If someone replies, they exit the sequence immediately. No more accidentally sending a breakup message after a booked meeting. If they don’t reply and the sequence completes, they’re marked as “completed” and you can decide whether to re-engage later.

Cost: the sequencer is free on paid plans

One thing that surprises a lot of people: Origami’s LinkedIn sequencer is included on all paid plans. You pay only for the credits used to enrich your leads (finding emails, phone numbers, tech stack data). The sending part costs nothing extra. Even the free plan gives you 1,000 credits to test the waters, no credit card required. So if you’ve already used credits to build this list, you can launch the sequence right away without another line item.

What response rates to expect

For decision-makers at Shopify brands with complex support ops, my campaigns in 2026 consistently hit:

• Connection acceptance rate: 18–25%
• Reply rate (positive): 6–10% (meaning they express interest, ask a question, or agree to meet)
• Meeting booked rate: 3–5% of all contacts messaged

These numbers assume you’ve done the list segmentation properly and the messages are tailored. If you blast the same copy to a generic list of “customer support people,” expect half that. The lift comes from the tight targeting and the personalization hooks that Origami’s enrichment enables (referencing their tools, company size, and recent activity).

When to iterate

After 40–50 contacts have been sent (roughly one week of outreach), check the data. If connection rate is below 15%:

• Iterate on the list first – Your targeting might be too broad or titles too junior. Go back and tighten the segmentation.

If connection rate is solid but reply rate is under 4%:

• Iterate on messaging – Try moving the pain point reference earlier, or test a shorter Day 1 note. A/B test two versions inside Origami by cloning the sequence.

If you’re getting replies but not meetings, the offer in Day 3 needs work. “Case study” might not be compelling enough; try offering a specific insight about their stack. Origami’s enriched data will tell you if they’re using Gorgias + a bot tool, for example, so you can get hyper-specific.

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One Platform, End-to-End

The biggest reason this campaign works in 2026 isn’t just the copy—it’s that everything lives in one place. You describe your ideal customer in plain English, Origami builds the list, enriches each contact, and then you sequence and send without sidestepping to another tool. That tight integration means the data that feeds your personalization (support tools, team size, industry signals) is right where you need it when you craft the message.

If you already have your list of decision-makers at Shopify brands with complex support operations, open it in Origami now. Take five minutes to tag your high-complexity leads. Paste the sequence above. Set your delays. Launch. The platform handles the rest while you watch replies roll in.

And if you haven’t built the list yet, start here: how to build a list of Decision-Makers at Shopify Brands with Complex Support Operations. Then come back to this guide, load up the sequence, and put it to work.