LinkedIn Outreach to Shopify Stores Hiring Customer Support Agents in 2026

Quick Answer: Already built a list of Shopify stores hiring customer support agents? Origami doesn’t just find those contacts — it includes a built-in LinkedIn sequencer on all paid plans, so you can launch a full outreach campaign without ever leaving the platform. This guide shows you exactly how to turn that list into booked meetings, from qualifying leads to writing a 3-touch sequence that references real Shopify pain points. Then you’ll send it, track replies, and auto-unenroll booked prospects — all from one dashboard.

If you haven’t built your list yet, start with our companion post on how to build a list of Shopify Stores Hiring Customer Support Agents (And Get Verified Contacts). That walks through getting the raw leads. Here we focus on what matters: the outreach.

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Step 1 — Build the List in Origami (If You Haven’t Yet)

Even if you already have a CSV of Shopify stores, it pays to rebuild or refresh the list inside Origami. The platform enriches each contact with live web data — current job titles, email addresses, LinkedIn profiles, and signals that someone is actively hiring. That context powers both the qualification step and the personalized sequences you’ll send later.

Open Origami and type a plain-English prompt, for example:

Prompt: “Find Shopify stores in the US that are currently hiring customer support representatives. Include the founder or head of customer support at each company, with verified email and LinkedIn profile.”

Origami’s AI agent will search job boards, company career pages, LinkedIn job posts, and Shopify store datasets, then chain the results together. Within minutes, you get a table containing:

• Store name, domain, and Shopify verification status
• Contact’s full name, title, and LinkedIn URL
• Verified email address and frequently a direct phone number
• Signals like “actively hiring” (detected from job listings or LinkedIn activity)
• Additional enrichment: company size, revenue estimate, tools used (help desk, live chat, etc.)

You don’t need a credit card to try this. The free plan gives you 1,000 credits to experiment with list building and enrichment. Once you’re ready to send campaigns, you’ll need a paid plan (from $29/month) — but the sequencer itself doesn’t cost extra; you only pay for the credits used to enrich leads.

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Step 2 — Refine and Qualify Your Prospect List

A raw list will contain noise. A store might have posted a customer support job six months ago and forgotten about it, or the “head of support” might actually be a team lead who can’t greenlight an outsourced solution. Sorting signal from noise before you send makes the difference between a 3% reply rate and one that pays for the campaign.

What “qualified” looks like for this audience

For a Shopify store hiring customer support agents, a qualified prospect shows several of these signals:

• Recent hiring activity: a job listing posted or refreshed in the last 30 days, or the contact sharing/commenting on hiring posts. Origami’s enrichment often flags this.
• Known pain points: Shopify stores that use certain help desk apps (Gorgias, Zendesk, Re:amaze) or that have a large catalog/order volume. High ticket volume + small team = acute pain.
• Decision-maker role: Founder, CEO, COO, Head of Customer Experience, VP of Operations, or (in small stores) an Operations Manager who owns the budget. HR-only roles often only coordinate, not decide.
• Store size that matches your offering. If you supply dedicated agents, a store with 5 support tickets a day isn’t ready; if you offer fractional help, a 50-agent team might only want overflow coverage.

How to segment the list inside Origami

Use the filtering and tagging features in Origami’s list view:

1. Remove non-decision makers. Hide anyone whose title contains “recruiter,” “HR assistant,” or “intern.” Keep titles like “Founder,” “Co-founder,” “CEO,” “VP of Customer Experience,” “Head of Customer Support,” “Director of Operations,” “Ops Manager.”
2. Filter by hiring intent. If Origami surfaced a “hiring” signal, keep those rows. If you uploaded your own list, sort by those who’ve posted a job in the last month (check LinkedIn manually on a sample).
3. Segment by store size. Create a tag (or a dynamic segment) for:
   • Tiny (1–10 employees): The founder likely does support themselves. Messaging should appeal to burnout and scaling pain.
   • Small/Mid (11–50 employees): Often have a dedicated support lead or ops person. Speak to the cost and time of recruiting, training, and managing agents.
   • Larger (51+ employees): Likely have a VP of CX or Support Manager. Messaging can focus on flexibility, seasonal scaling, or taking overflow without adding permanent headcount.
4. Location check. If you provide local-language agents, isolate stores serving that market. If you’re remote-first, focus on stores that have already embraced remote work.

After refining, you might end up with 150–300 highly qualified leads for a campaign. That’s a sweet spot — small enough to personalize manually if you want, large enough to justify using automation.

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Step 3 — Create the LinkedIn Outreach Sequence

Now the most important part: what you actually say. You have two paths inside Origami, and even better — you can mix them.

Option 1: Paste Your Own Templates

If you already have messaging that works, you can write a 3-touch sequence directly in the Origami sequencer. Set the delays between touches (e.g., Day 1, Day 3, Day 7) and paste your templates. Origami supports personalization placeholders like , , ``, and any custom columns from your list, so you can make each message feel individual even with a bulk template.

Option 2: Let the Agent Write It

Alternatively, you can ask Origami’s AI agent to generate a personalized 3-day LinkedIn sequence for all your leads automatically. The agent reads each lead’s enriched profile — title, company, industry, signals like “currently hiring” — and writes a message that sounds like you researched them. You can review the output before launching, so you’re always in control.

For this guide, I’ll give you a full 3-touch sequence you can copy-paste and adapt. The messaging is written for an agency offering outsourced, Shopify-native customer support agents, but you can tweak the service description to whatever you sell (support software, training, consulting).

3-Touch LinkedIn Sequence for Shopify Stores Hiring Customer Support Agents

Sequence logic: Connection note (Day 1) hooks on the hiring signal. After they accept, a follow-up (Day 3) introduces the pain and a light pitch. Final message (Day 7) is a soft close that respects their time.

Touch 1 — Day 1: Connection Request + Note

Hi — saw that is hiring for customer support. I help Shopify stores like yours scale support without the recruiting grind. Would love to connect and swap notes.

Keep it short. LinkedIn allows 300 characters. Using “swap notes” instead of “pitch” lowers guard. You’re just another operator, not a salesperson.

Touch 2 — Day 3: Follow-up Message (after they accept)

Subject: Quick thought on scaling ’s support

Hey , thanks for connecting. I’ve worked with a few Shopify brands that hit the same wall: hiring CS reps takes weeks, training them on the product only to see them leave after a few months. We provide trained, Shopify-native agents who go live in under a week — and they already know Gorgias/Zendesk and Shopify’s order flow. Worth a 15-minute call to see if there’s a fit? No pitch, just exploring.

Here you’re naming the pain (hiring, training, turnover) and tying it to something concrete — knowing Shopify and help desk tools. That separates you from generic BPOs.

Touch 3 — Day 7: Final Message (soft close)

Subject: Scaling support — last note

Hi , I’ll stop after this. If scaling support isn’t top of mind right now, totally understand. But if you ever feel stretched thin answering tickets or wonder if outsourcing could help — I’ve seen stores cut first-response time by 60% without adding headcount. If that sounds interesting, I’m easy to find. If not, all the best with the team growth, and happy selling.

This gives them an easy out and plants a specific outcome (60% reduction). You’re positioning yourself as helpful, not desperate.

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Step 4 — Send the Sequence Directly from Origami (and What to Expect)

Once your sequence is set — whether you pasted your own or let the AI write it — you launch it straight from Origami. There’s no exporting CSV files, no syncing with a separate tool, no copy-pasting connections one by one.

Origami’s built-in LinkedIn sequencer sends connection requests and follow-up messages automatically, following the delays you configured (Day 1, Day 3, Day 7, or any custom cadence). It integrates with LinkedIn in a way that respects rate limits, so your account stays safe.

Tracking: everything in the same dashboard

While the sequence runs, you can monitor:

• Connection requests sent, accepted, and pending
• Message opens and clicks (on any links you include)
• Replies — and as soon as a contact replies, they’re automatically removed from the sequence. No more awkward “circling back” after someone already booked a call.

Best part: when you click into a contact’s activity, you still see their full enriched profile — title, company, help desk tools used, hiring signal. So you remember exactly why you reached out, and you can reply with context instead of scrambling to remember who they are.

What response rates to expect for this audience

Based on campaigns I’ve run and seen with similar audiences:

• Connection acceptance rate: 25–35% if you’re targeting decision-makers with a relevant note and a complete LinkedIn profile. Hiring managers are busy but often open to conversations about solving their team pain.
• Reply rate on follow-ups (of those who connected): 10–18%. If you’re below 10%, either your message doesn’t hook their current problem, or your list isn’t as qualified as you thought.
• Meeting booked rate (of those who connected): 4–8%. That’s typical for cold outreach selling a service, not a SaaS trial. The key is that you’re not spraying a massive list — you’re hitting stores that are actively hiring, which lifts the floor.

When to iterate on messaging vs. iterate on the list

• Low connection acceptance? Revise your connection note. Maybe the hiring signal isn’t obvious, or you’re flagging as too salesy. Test a softer, more curiosity-driven note.
• Good connections, low replies? Your follow-up message might be misaligned. Try opening with a specific pain point you saw on their job listing (e.g., “noticed you’re looking for someone who knows Re:amaze — we have agents who live in that tool”). Or segment further: for stores under 10 employees, lead with founder burnout; for larger ones, lead with operational efficiency.
• Good replies, low conversion to meetings? Your offer might need tightening, or you’re dropping the ball on the reply itself. But often, the list just isn’t qualified enough — maybe those stores aren’t really in pain right now. Go back to Origami, filter for companies that also use live chat tools (a sign of volume) and re-run the campaign to a tighter segment.

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