Quick Answer

To go from a list of Market Research Company Decision-Makers to booked conversations, you need a tool that handles the entire outreach flow—finding the right contacts, enriching them, and then sequencing LinkedIn touches without switching platforms. Origami is that tool. Its built-in LinkedIn sequencer lives alongside the AI-powered list builder, so once your prospect list is ready, you can launch a personalized, multi-touch campaign directly from the same dashboard. No exporting CSVs, no third-party sequencers. This guide shows you exactly how to refine your list for outreach, the exact 3-touch message sequence you can steal, and how to send it from Origami to start filling your pipeline in 2026.

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

If you followed our companion post on how to build a list of Market Research Company Decision-Makers' Contacts, you likely already have a list of 150–300 market research leaders—VPs of Research, Heads of Insights, Directors of Data Collection, and senior quant/qual leads. If not, here’s the quick version.

Open Origami. In the prompt field, describe your ideal customer in plain English. For this audience, you might type:

“Find VP of Research, Head of Insights, and Director of Data Collection at market research firms with 50–500 employees in the US and UK. Focus on companies that run quantitative studies or online panels. Enrich each contact with their LinkedIn URL, verified email, phone number, company size, and technologies they use.”

Origami’s AI agent will scan the live web, chain data sources, and return a prospect list with the fields you asked for. You’ll see full names, job titles, company names, LinkedIn profile links, verified business emails, direct dials, and firmographics like employee count, revenue range, and tech stack (e.g., they use Qualtrics, Decipher, or Confirmit—signals you’ll use later).

If you’re new to Origami, the Free plan gives you 1,000 credits without a credit card, which is enough to build and enrich a solid initial list of about 100 leads (depending on the depth of enrichment).

Because your end goal is a LinkedIn campaign, make sure every record has a LinkedIn URL. Origami automatically checks for this, but you can filter out any row missing the URL before proceeding.

Step 2: Refine and Qualify the List for LinkedIn Outreach

Even when Origami does the heavy lifting, not every contact is worth a sequence slot. Market research decision-makers vary wildly in influence, budget authority, and openness to external tools. Use these qualifiers to prune and segment your list before you ever write a message:

1. Title and Seniority Filter

Primary targets: VPs of Research, SVPs of Insights, Directors of Data & Analytics, Heads of Innovation, and Founders (at boutique agencies). These people either own the tech stack or strongly influence it.
Secondary targets: Directors of Panel Operations, Fieldwork Managers, and Research Managers (senior enough to initiate evaluations but often need executive buy-in). Drop anyone with a “Jr.”, “Associate”, or “Coordinator” title—they rarely drive purchasing decisions.

2. Company Size Band

Sweet spot: 50–500 employees. Below 50, they may still be using manual processes and don’t feel pain acutely enough. Above 500, you’re likely dealing with formal procurement and a longer sales cycle. Segment by size and adjust messaging later—small-firm leaders react better to agility and cost, enterprise buyers need proven ROI and integration talk.

3. Tech Stack Signals

If Origami enriched the list with technologies used, look for firms running legacy survey platforms (e.g., Confirmit, old versions of Decipher) or no visible AI/automation tools. These are your low-hanging fruit: they’re likely dealing with sample quality issues, slow turnarounds, and manual reporting.
Conversely, if a company already uses a modern AI-based insights platform, your outreach must focus on a complementary capability—not a replacement.

4. Geography

Legal and cultural norms affect outreach cadence. In this guide I’m assuming North America and the UK; adjust delays and language for other regions.

5. Recent Activity & Shared Connections

Origami’s enriched profiles often show “last activity” on LinkedIn. A decision-maker who posted two days ago about sampling challenges is a hot lead. Flag them for first touch.
Also note mutual connections. You won’t send out-of-the-box messages to second-degree contacts; you’ll reference the shared connection if appropriate.

Qualified list definition for this campaign: A market research leader at a 50–500 person firm, based in the US or UK, with budget authority or strong influence over research tools/panel quality, and a tech profile that suggests they could benefit from something you offer (better sample, faster analytics, AI-driven reporting, etc.). If a record doesn’t meet at least three of those criteria, remove it.

Segmentation is your friend. Before moving to the sequence, I create three tags inside Origami’s list view:

Priority: Tech-debt firms (legacy tech, likely frustrated)
Innovators (modern stack, open to new angles)
Boutique leaders (small, agile, owner-operator mindset)

You’ll paste slightly different messaging for each segment—or let Origami’s AI agent tailor the sequence automatically (more on that in Step 3).

Step 3: Create the LinkedIn Sequence

Now the real work: crafting a sequence that gets replies, not eye-rolls. Market research decision-makers are analytical by nature. They’re bombarded with vague pitches promising “insights” (their whole job is insights) and they can smell a template from the first sentence. Your messaging must speak directly to their world: sample quality, speed to insights, cost-per-interview, replacing outdated DIY tools, scaling white-labeled services, and staying ahead of clients who now expect AI-augmented deliverables.

Inside Origami, you have two options for building your LinkedIn sequences:

Paste your own templates – Write your 3-touch sequence, customize the delays, and paste the messages directly into Origami’s sequencer. You control every word.
Let the AI agent write it – Origami’s agent can automatically generate a personalized 3-day LinkedIn sequence for each lead. It reads each contact’s title, company, industry, and tech stack to craft messages that feel hand-written, even at scale. You can then review and tweak before sending.

For this guide, I’ll give you the exact copy I’ve used successfully with market research leaders—messages you can copy, tweak for your product, and paste into Origami’s sequencer. Each message is 50–100 words, direct, and built around real pain points.

The 3-Touch LinkedIn Sequence (for the “Priority: Tech-debt firms” segment)

Cadence: Day 1 – Connection request + note; Day 3 – Follow-up message; Day 7 – Final message (soft close). Delays are configurable in Origami; I use 2 days between touching points to respect the analytical mind’s need to process.

Day 1: Connection Request + Note

Subject / Invitation note (300 character max on LinkedIn, Origami handles this):

Hi , I help MR firms replace legacy survey tools with AI workflows that cut fieldwork time by 40% without sample quality trade-offs. Your background at caught my eye. Would love to connect and swap notes on the quant panel space.

Why this works: Immediate specificity (legacy survey tools, AI workflows, sample quality). Shows you looked at their profile (). No pitch, just a reason to connect.

Day 3: Follow-up Message (Different Angle)

Subject line inside Origami (you can use message body as the full LinkedIn message): “One question about ’s panel data”

, thanks for connecting. I see runs a lot of tracking studies. I’m curious—how are you currently handling panel health and data cleaning at scale? We’ve seen firms cut manual QA time by 60% with AI-driven anomaly detection, but I’d love to hear what’s working for you. No pitch, just research.

Why it works: Opens with gratitude, references a specific firm activity (tracking studies), asks a genuine question related to an operational pain (panel health, data cleaning), and teases a result without selling. The phrase “just research” disarms because they’re researchers themselves.

Day 7: Final Message (Soft Close)

Subject: “Quick thought for ”

, circling back—if improving sample turnaround and data quality without adding headcount is on your radar this quarter, I’d be happy to share how other MR firms are using AI to do it. We can hop on a 15-minute call, or I can send over a 2-pager. No pressure either way. What’s easier for you?

Why it works: Low-friction CTA with two options, both low commitment. References a business outcome (turnaround, quality, headcount). Sets the expectation that this isn’t a sales pitch—it’s sharing peer learnings.

Adapt the Sequence for Other Segments

Innovators (modern stack): Shift the message from tool replacement to enhancing existing workflows. Day 1 note might say: “I help MR firms integrate AI-powered respondent-level scoring on top of their current platform; saw is doing cool innovation work.” Day 3 asks about their AI adoption barriers. Day 7 offers a case study.
Boutique leaders: Emphasize speed, white-label options, and competitive edge against larger agencies. Mention that “two-person MR shops are now delivering Fortune 500-level analytics in half the time.”

Pro tip: Origami’s AI sequence writer handles this segmentation automatically if you ask it to generate separate sequences for each list segment—just describe the segment and the messaging angle in a short prompt, and the agent will create customized touches for each lead.

Step 4: Send the Sequence Directly from Origami

This is where Origami separates itself from the pack of list-building tools. You don’t export your refined list to a CSV, upload it into a LinkedIn automation tool, and pray the sync works. You launch the sequence from inside Origami, on the same screen where you built and enriched your list.

Here’s the step-by-step send process:

Select leads – Check the boxes next to your qualified contacts in Origami’s list view, or select all from a specific segment tag.
Open the Sequencer tab – In the top navigation, switch from “List” to “Sequence.”
Choose your method – Click “Paste Templates” if you’re using the copy above, or “Ask AI to Generate” if you want Origami to write personalized messages for each lead based on their profile data. If pasting, you’ll enter the three touchpoints and set the delay (in hours or days) between each. I set Touch 1, wait 48 hours, Touch 2, wait 96 hours, Touch 3.
Review and customize – Even when using the AI, you can see a preview of the first message for each lead and tweak it. The agent pulls in , , and other fields dynamically from the enriched data you already have in Origami.
Hit “Launch Sequence.” Origami will begin sending connection requests and follow-up messages according to your schedule, all from your connected LinkedIn account (you authorize it securely). It respects LinkedIn’s rate limits automatically.

Sending & Tracking: Everything in One Dashboard

Once your sequence is live, Origami’s dashboard shows you opens, clicks, and—most importantly—replies. No more checking LinkedIn Sales Navigator to see if someone accepted your connection and then manually moving them through a spreadsheet.

Reply tracking: When a lead replies, they are automatically un-enrolled from the sequence. Origami prevents the embarrassment of sending a breakup email after someone already booked a meeting. You’ll get a notification and see the conversation right in the contact’s activity timeline.
Prospect context: While viewing a contact’s replies, you can still see their enriched profile on the same screen—title, company, tech stack, all the data that told you why you reached out in the first place. This helps you craft a perfectly relevant human reply, fast.
Performance metrics: At the campaign level, you’ll see connection acceptance rate, reply rate per touch, and overall meetings booked. For a well-targeted market research decision-maker list with the right messaging, expect:
- Connection acceptance rate: 40–55% (if you’re referencing their work and using warm notes).
- Reply rate across touches: 15–25% on Touch 2, another 10–15% on Touch 3. Net replies often land around 30% of accepted connections.
- Meeting conversion: Roughly 1 booked meeting per 25 contacts in the sequence (that’s a 4% conversion from total list to meeting, typical for this audience when the offer is strong).

These aren’t vanity metrics. Track them weekly for the first month. If connection requests are getting accepted but Touch 2 replies are low, your follow-up message needs work—maybe the question isn’t sharp enough or you’re over-rotating on features. If connection requests are being ignored, your targeting (list quality) is the likely culprit, not the messaging.

The “One Platform” Advantage

Because Origami handles the full workflow—find leads, enrich, qualify, sequence, send, track—you can diagnose problems faster. Low reply rate? Re-examine your list segmentation in the same tool. Need to test new messaging? Clone the sequence, tweak the copy, and re-launch to a fresh batch of leads without leaving the environment. No exporting CSVs, no syncing tools, no wondering if the data in your sequencer matches your original list.

Pricing note: The LinkedIn sequencer is included on all paid Origami plans. You only pay for the credits used to enrich those leads—the sending itself is not an extra cost. That means a paid plan starting at $29/month can have you running fully personalized, multi-touch campaigns to hundreds of decision-makers with no added sequencer tax.

What to Expect and When to Iterate

For market research decision-makers, the sales cycle is unusually long: 2–4 months from first touch to closed-won is normal. A LinkedIn sequence won’t close a deal, but it will open conversations. Set your expectations accordingly.

After launching:

Days 1–5: You’ll see connection requests accepted. Don’t message again too quickly; researchers appreciate patience.
Days 5–14: The first replies trickle in. Some will be polite declines, some will be genuine questions. Every reply is a chance to schedule a discovery call, so answer warmly and avoid dumping a pitch deck.
Week 3: If you haven’t booked meetings, don’t assume the list is wrong. Try a new angle in your Touch 2 message. For instance, switch from a pain-centric question to a peer-curiosity question: “I’m interviewing MR leaders about their 2026 tech roadmaps—would you be open to a 5-minute chat?”
Week 4: If connection requests themselves are landing under 30%, stop all sends and rebuild your list. You’re probably targeting the wrong title, wrong company size, or your profile doesn’t look credible to that audience. Origami can build a fresh list in minutes; iterate quickly.

A practical rule of thumb: spend 70% of your effort on list quality, 30% on messaging. Origami handles both, but the human decisions you make in Step 2 (refine and qualify) are what separate a campaign that burns leads from one that fills your calendar.

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How to Run a LinkedIn Outreach Campaign Targeting Market Research Company Decision-Makers' Contacts (2026)