‎‎‎How to Draft LinkedIn DMs to RB2B Site Visitors (and Turn Them Into Meetings)

With RB2B, you already know:

• The company visiting your site
• The pages they viewed
• The frequency of visits

That’s real buying-signal data you can turn into warmer outreach.

Most teams either let those visitors disappear or throw them into generic cold sequences.

Instead: Draft personalized, stage-aware LinkedIn DMs that speak directly to what those RB2B visitors are thinking about right now.

Map RB2B Visitors to Awareness Stages Before You DM

Not every RB2B visitor is ready for the same message. Before drafting, identify which of the five awareness stages they’re in:

1. Unaware

They don’t recognize they have a problem yet. They may have landed on your blog or homepage from a broad search or ad.

What to do: Don’t message. Connect on LinkedIn so you can nurture them with relevant content over time.

Only send a note with the connection if you have a very personal reason to, not just because you saw them on your site. Otherwise, leave it blank.

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2. Problem-Aware

They know the pain but aren’t yet thinking about solutions. They might browse “why outbound fails” content or industry research.

DM Approach: Talk about problems you can solve, and be sure to post to your feed about similar issues faced by your customers.

“hey Lisa, been hearing from other [roles] that [challenge] is a headache rn. is that something you’re dealing with too? happy to brainstorm if so”

3. Solution-Aware

They know tools like yours exist and are evaluating categories, but not yet comparing vendors. They’ve likely hit a features overview page.

DM Approach: Explain the solution category, but also differentiate early. Reference a relevant post you’ve written or even a competitor’s post to spark conversation and position yourself as a trusted guide.

“Steve, saw [X topic] might resonate with you. [Y company] works with us and we wrote a guide on a playbook they run, thought it might help [link]"

4. Product-Aware

They know your product exists and are actively comparing it against competitors. They've maybe viewed some list posts or competitor p

DM Approach: Lean into proof. Link to specific posts that showcase where you outperform competitors, or point to competitor posts and tactfully highlight what they missed.

“Hi Mark, saw [Competitor] just posted about intent signals. they’re spot on about the importance of timeliness, but they don’t automate messaging by awareness stage. Here’s how we handle it end-to-end.”

5. Most Aware

They’ve visited pricing or case study pages multiple times in a short window. They’re on the brink of booking.

DM Approach: Make the next step easy.

“hey Sam, we’ve been working on [related issue] with a few teams like yours – want to brainstorm some ideas together? lmk when you’ve got a few mins"

The Manual Way Isn’t Scalable

Doing this without automation means:

• Refreshing RB2B daily for new visitors
• Hunting down decision-makers on LinkedIn
• Guessing intent from visit history
• Manually drafting each DM

By the time you hit send, the buying window could be gone.

Turn RB2B Data Into Stage-Aware DM Drafts

Letterdrop plugs directly into your RB2B feed to:

1. Classify awareness stage – Problem-aware, solution-aware, or most aware based on behavior.
2. Auto-draft LinkedIn DMs – Tailored to their stage, role, and the context of their visit.
3. Push to SDR/AE workflows – So messages get sent while the visitor is still thinking about you.

Here's an example of a workflow + a DM template:

Start Converting RB2B Visitors Into Pipeline

If you’re already paying for RB2B, you’re sitting on high-intent data every day.

Letterdrop helps you act on it instantly, with stage-aware LinkedIn DMs that feel 1:1 but scale to your entire RB2B feed.