Cost Per Lead for Auto Repair Chains: The 2026 LinkedIn Outreach Campaign Sequence

If you’ve built a list of cost-per-lead decision-makers at auto repair chains using Origami, the next move is to launch outreach directly inside the platform. Origami has a built-in LinkedIn sequencer that sends connection requests and follow‑up messages to those leads without exporting anything—just refine the list, set your sequence, and hit send. This guide walks through the exact 3‑touch rhythm and sending process that will turn that list into conversations.

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Step 1 — Build the List in Origami

Origami lets you describe your ideal prospect in plain English, and its AI agent searches the live web, chains data sources, enriches contacts, and qualifies leads—all from a single prompt. You don’t need to stitch together ZoomInfo, LinkedIn Sales Navigator, and a scraper. One prompt returns a targeted prospect list with verified names, emails, phone numbers, titles, company details, and LinkedIn profile URLs.

If you haven’t built your list yet, start with our full walkthrough on how to build a list of Cost Per Lead for Auto Repair Chains. Here’s the quick version you’d run inside Origami:

“Find marketing directors, VPs of marketing, and growth leads at multi‑location auto repair chains in the United States who are responsible for customer acquisition and cost per lead. Include title, company name, location, company size, and LinkedIn profile. Focus on chains with 10+ locations.”

In under two minutes, Origami gives you a clean table with full contact details. The free plan includes 1,000 enrichment credits—no credit card needed—so you can build and scrub a list like this without paying a cent. Paid plans start at $29/month and give you more credits plus the full sequencer.

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Step 2 — Refine and Qualify the List for LinkedIn

A raw list of “marketing people at auto repair chains” isn’t a campaign list—it’s a haystack. Before you launch any LinkedIn outreach, you need to segment and qualify so only people with real buying power and budget see your messages. Here’s how to do it inside Origami for this audience.

What “qualified” looks like for cost per lead at auto repair chains

You’re not after every shop manager. The person who can actually change how leads are bought sits at one of three levels:

1. Corporate marketing leadership — VP of Marketing, Director of Digital Marketing, Head of Customer Acquisition at chains like Big O Tires, Midas, or regional groups with 20–200 locations. They control the ad budget and the tech stack.
2. Franchise group operators — a franchisee who owns 5–15 locations under one brand. They often have a part‑time marketing manager or an agency they’re frustrated with. They feel the cost per lead directly.
3. Owner‑operators of dense independent groups — think a family that runs six Meineke shops across two cities. They don’t have a marketing title, but they’re the ones asking “why am I paying $85 per lead on Google Ads?”.

How to segment in Origami

Open your list in Origami’s workspace. Use the column filters:

• Job title — eliminate titles like “lube technician,” “service advisor,” “front desk.” Keep only titles that imply budget authority: “Marketing,” “Owner,” “Franchisee,” “VP,” “Director,” “Growth.”
• Company size by location count — I cut everything below five locations unless the chain is clearly scaling (funded, multiple states). A three‑shop operation rarely invests in cost‑per‑lead optimization beyond the local Google Ads account.
• Location — if you sell regionally or can only serve certain states, filter by headquarters state. An auto repair chain in Florida won’t care about your winter tire campaign.
• Enrichment signals — Origami often surfaces tools a company uses (like HubSpot, CallRail, or service-scheduling software). If a shop uses CallRail and has a marketing title, they track calls—thus they care about cost per lead. Tag those leads as high‑intent.

Create two segments: Tier 1 (direct budget authority, uses call tracking or CRM, 10+ locations) and Tier 2 (likely decision influencer, smaller group but growing). You’ll send the higher‑touch sequence to Tier 1 and a slightly softer version to Tier 2.

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Step 3 — Create the LinkedIn Sequence

In Origami you’ve got two ways to build your sequence, both inside the same sequencer interface:

1. Paste your own templates — Write your 3‑touch sequence, set the delays between touches (I use Day 1, Day 3, Day 7), and paste each message into the corresponding step. This gives you full control over the copy.
2. Let the Origami agent write it — Ask the AI to generate a personalized 3‑day LinkedIn sequence for every lead automatically. It uses each contact’s profile data (title, company, industry, location) so the message feels like it was written for that person, not a mail merge.

For auto repair chains, I’ve found that a short, direct, pain‑first sequence works best. Below is the exact copy you can steal and customize. Each message is 50–100 words and written for Tier 1 (marketing leaders at multi‑location chains).

The 3‑touch sequence (copy‑paste ready)

Touch 1 — Connection request with note (Day 1)

Hi [First Name], I see you lead marketing for [Company]’s locations. Most chains I
work with are spending $50+ per lead on Google Ads and converting under 5%. I’ve got
a method that dropped cost per lead by 35% while increasing qualified in‑shop
appointments. Would love to connect.

Why it works: It names a hyper‑specific number ($50+) that every multi‑location repair chain feels, and it promises a concrete outcome (35% drop) without pitching anything. Keep the connection note under 300 characters so it doesn’t truncate.

Touch 2 — Follow‑up message after acceptance (Day 3)

Subject line: Quick win for [Company]’s cost per lead?

Hi [First Name],

Thanks for connecting. I noticed your shops cover [city/region from profile]. Local
search competition for auto repair terms is brutal—most chains see CPLs above $40–60
in competitive metros.

I recently helped a 20‑location chain in Texas get below $25 CPL by shifting to
intent‑based social ads + direct mail triggered by search behavior. No fluff, just
targeted leads that actually book appointments.

Worth a 10‑minute call to see if that model fits [Company]? No pitch, just sharing
what worked.

Why it works: You reference their specific geography (Origami’s enrichment gives you that), quote an industry pain point they live every day, and offer a real case that matches their profile. The ask is tiny and time‑bound.

Touch 3 — Final message with soft close (Day 7)

Subject line: One thing that slashed CPL for a tire and service chain

Hi [First Name],

Last note—I’m wrapping up outreach this week. A tire chain we worked with reduced
cost per lead by 40% in two months by combining LinkedIn outreach to fleet managers
with local shop offers. They saw a 3x increase in in‑shop visits from B2B clients.

If you’re open, I can send the 1‑page case study. If not now, I’ll leave it. Thanks
for connecting.

Why it works: It uses social proof specific to the auto repair vertical (tire chain, fleet managers) and a low‑commitment ask (send a case study). The “wrapping up” frame creates a natural off‑ramp, which oddly increases reply rates because the recipient feels no pressure.

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Step 4 — Send the Sequence Directly from Origami

This is where most tools break: you build a list in one place, then export a CSV, upload it to a LinkedIn automation tool, map fields, hope the column names match, and pray nothing gets flagged. Origami kills that dance. The LinkedIn sequencer lives right next to your enriched contacts.

Launch and forget

• From your refined list, select the leads you want to enroll—say, your Tier 1 segment of 150 marketing leaders.
• Click “Create Sequence,” choose LinkedIn, and either paste your 3‑touch copy or generate it with the AI agent.
• Set your touch delays: Day 1 (connection request), Day 3 (first message after acceptance), Day 7 (final message). You can adjust to Day 2, Day 4, Day 8 or whatever cadence fits your audience.
• Hit “Launch.” Origami will send connection requests and follow‑ups automatically, in a human‑feeling rhythm, with random delays between sends to mimic natural behavior.

No exporting CSVs, no syncing tools, no logging into three dashboards.

Tracking that actually tells you what’s happening

Every metric shows up in the same dashboard where you built the list. You’ll see:

• Connection request sent, accepted, pending, or declined.
• Messages opened, links clicked, and replies received.
• For each contact, you can click into their activity and still view their enriched profile—title, company, location, tools they use—so you never lose context on why you reached out.

That full‑context view is a game changer. When someone replies, you don’t get a naked LinkedIn message; you see that they’re the VP of Marketing at a 28‑location chain using CallRail and HubSpot. You know exactly how to follow up because the entire lead profile is right there.

Automatic un‑enrollment

If a lead replies—even with “not interested”—Origami yanks them out of the sequence. No accidental breakup messages sent after a prospect books a meeting or tells you no. That alone saves more embarrassment than I care to relive.

The sequencer is free to use; you pay only for credits

All paid Origami plans (starting at $29/month) include the LinkedIn sequencer without any extra seat fees or sending limits. The only thing you pay for are the enrichment credits used to build and refresh the list. The actual LinkedIn sending costs nothing extra. The free plan gives you 1,000 credits (no credit card) so you can even test send a small batch at zero cost.

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What results to expect and when to iterate

When you target marketing leaders at auto repair chains with 10+ locations, here’s the ballpark I’ve seen across multiple campaigns in 2025–2026:

• Connection acceptance rate: 25–35% if your list is tight and your connection note mentions a specific pain point. Generic notes pull half that.
• Reply rate to first follow‑up: 8–15% among acceptances. The ones who reply are usually feeling the cost per lead problem right then, because seasonality (spring tire change, winter prep) makes ad spend hurt more.
• Meeting booked rate: Roughly 5–8% of the total enrolled list will end up in a meeting if you keep the ask light in touch 2 and use the case study bait in touch 3.

When to iterate on messaging versus iterate on the list

The biggest mistake I see is rewriting messages every week while ignoring list quality. If your acceptance rate is above 25% but replies are under 5%, it’s a messaging problem—tweak the angles, shorten the copy, swap the case study. If your acceptance rate is under 15%, your list isn’t qualified enough. Go back to Origami, tighten the job title and company size filters, and re‑segment. A perfect message to the wrong person still fails.

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Next steps

You’ve got the sequence, the segmentation logic, and the sending workflow. If you haven’t built the list yet, go back and build a list of Cost Per Lead for Auto Repair Chains inside Origami. Then open the sequencer, paste the 3‑touch copy, launch, and watch replies land in the same dashboard. The less tool‑switching, the more time you spend actually selling.