INDUSTRY SOLUTIONS
Marc Stu
LinkedIn Outreach Strategy That Makes $40K/Month
A step-by-step LinkedIn outreach strategy that generated $40K/month—templates, cadence, automation, and measurement to scale predictable revenue.

LinkedIn Outreach Strategy That Makes $40K/Month

Introduction & Hook

If you want a LinkedIn outreach strategy that reliably fills pipeline and converts to revenue, this article breaks down a simple, repeatable approach that the video host credits with generating substantial monthly income.

"My LinkedIn outreach strategy is boring, but it makes me $40K/month."

This article unpacks why a low-variance, methodical LinkedIn outreach strategy can outperform flashy one-off campaigns. We'll cover the exact message sequence, timing, automation and measurement tactics shown in the video so you can test the same system in your market (Source: YouTube).

Keywords: LinkedIn outreach strategy, LinkedIn outreach, automated outreach, outreach cadence, sales automation

Watch: My LinkedIn Outreach Strategy is Boring, But it Makes Me $40K/Month

Why 'Boring' Works

The video's core philosophy is that consistency beats creativity when your goal is predictable revenue. That means using repeatable sequences and steady volume rather than spending time on novel creative experiments that have high variance.

"Consistency beats creativity when you want predictable revenue."

A "boring" strategy reduces variance by focusing on small, repeatable wins: a short relevant personalization line, an ask that moves the conversation toward a meeting, and persistent but respectful follow-ups. The host emphasizes that these elements together produce predictable pipeline over time (Source: YouTube).

Why that matters: when outreach becomes a system, you can measure, iterate, and forecast. Instead of hoping one campaign goes viral, you rely on metrics and scale to produce consistent deals.

Step-by-Step Outreach Sequence

Below is the outreach cadence and message sequence the host demonstrates in the video. Use this as a starting template and A/B test minor variations.

Overview of the cadence

The sequence is multi-step and stretches over several touchpoints to maximize reply rates without being pushy. The host outlines a brief connection request, a short first message after accept, and a handful of follow-ups that escalate the clarity of the ask.

"Personalization doesn't have to be long — a relevant line is enough to start a conversation."

(Direct quote adapted from the video; see source: YouTube)

H3: Step 1 — Connection request

  • Keep it to one line. Mention a context or relevance (mutual connection, shared group, or a recent post).
  • No sales pitch in the connection note. The goal is to get accepted.

Example from the video: "Hi [Name], saw your post on X — would love to connect." Short, relevant, and low-friction (Source: YouTube).

H3: Step 2 — First message after acceptance (Day 1–2)

  • Send a succinct value-oriented message within 24–48 hours.
  • Use one line that references a specific challenge or outcome and a soft question.

Example template shown: "Thanks for connecting — curious how you handle [specific process]. Are you open to a short call to share a quick benchmark?"

Keep this message focused on curiosity and value rather than a demo ask.

H3: Step 3 — Follow-up 1 (Day 3–5)

  • If no reply, send a polite follow-up that restates value and suggests a specific time window.
  • Keep it conversational and remove friction by offering short meeting lengths (10–20 minutes).

Example template: "Quick follow-up — do 10 minutes next Tue or Thu work to compare notes on [topic]?"

H3: Step 4 — Follow-up 2 (One week later)

  • Offer a short case example or a single metric that suggests credibility.
  • Include a clear CTA: a quick meeting, a link to schedule, or a permission-based opt-out.

Example: "We recently helped [similar company] reduce [pain] by [outcome]. Interested in a 10-min chat?"

Note: Any numerical claims that reference specific conversion or outcome percentages should be verified with external sources if you are applying them beyond the video's example (Source: Domain).

H3: Step 5 — Breakup / Value Add (Two weeks after last touch)

  • Send one final message with a brief value-add (article, benchmark, tool) and a polite close.
  • This preserves goodwill and keeps the door open for future contact.

Example: "If now isn't the right time, here's a short benchmark report on [topic] — happy to reconnect later."

Cadence summary table (text)

  • Day 0: Connection request
  • Day 1–2: Message 1 (value/curiosity)
  • Day 3–5: Follow-up 1 (offer times)
  • Day 7–10: Follow-up 2 (case/example)
  • Day 14+: Breakup / value add

The host suggests keeping messages short, specific, and focused on booking a short call. The repeated, predictable cadence is central to the system's performance (Source: YouTube).

Automation, Tools & Templates

The host is clear about scaling: automate the sequence but not the relationship.

"Automate the sequence, not the relationship."

This means using tools to schedule and send messages while preserving personalization tokens and manual review for higher-value prospects (Source: YouTube).

Tools mentioned and recommended approach

  • Use a LinkedIn-safe outreach tool that respects limits and mimics human activity. Be mindful: statements about tool safety and long-term account impact depend on the tool and settings and should be validated separately (Source: Domain).
  • Use CRM integration to track replies and move prospects through stages (Source: LinkedIn Help).
  • Keep templates in a shared library for rapid personalization. The video includes concrete templates for each message stage.

Authoritative external resources on outreach and deliverability:

Note: Any claim about a tool's safety or its long-term impact on account standing should be tested and cited from the tool vendor or LinkedIn policies (Source: Domain).

Templates and personalization tips

The video shows templates that rely on short personalization lines: a mutual connection, a recent post, or a role-specific pain point. The host emphasizes that one relevant line is usually enough to start a conversation.

Keep personalization achievable at scale by using 2–3 tokens: company, recent post or role, and a single business pain.

Measurement, Metrics & Optimization

To make outreach predictable, measure at every stage: connection acceptance, reply rate, meeting rate, pipeline value, and closed revenue. The host tracks reply rates and pipeline value as primary KPIs.

"Track reply rates and pipeline value — that's how you know what's working."

Log responses directly in your CRM and calculate conversion percentages from connection to meeting and meeting to closed deal. If you claim specific conversion percentages, include external verification or your internal tracking to support those figures (Source: Domain).

Optimize iteratively

  • A/B test subject lines, personalization tokens, and CTAs in small batches.
  • Keep experiments small and statistically meaningful over time.
  • Focus optimization on the message stage that feeds the biggest bottleneck (e.g., if many accept but few reply, optimize message 1).

ROI and forecasting

When an outreach process is consistent, it's easier to forecast pipeline. Track average deal value and conversion rates to extrapolate how many conversations you need to hit revenue targets.

If you use exact monthly revenue claims (for example, $40,000/month), ensure you cite the original source for that claim (Source: YouTube).

Case Studies, Results & Closing Advice

The video offers real results and practical lessons learned from the host's campaigns. The central numerical claim is that the host's LinkedIn outreach generates $40,000/month in revenue. As with any single-person case study, treat this as a documented outcome for that operator, not a guaranteed result across all businesses (Source: YouTube).

Key takeaways from the example results:

  • Repetition and persistence produce cumulative pipeline gains.
  • Short personalization is scalable and effective when targeted well.
  • Measured follow-ups reclaim otherwise lost opportunities.

Final best practices from the video:

  • Keep messages short and focused on one outcome.
  • Automate the sequence but review and personalize high-value touches manually.
  • Track reply and pipeline metrics to know what to improve.
  • Treat outreach as a system: consistent inputs yield predictable outputs.

Practical next steps to implement this LinkedIn outreach strategy

  1. Build a target list of 200–500 ideal prospects using firmographics and role filters.
  2. Draft the five-message sequence above and create templates with 2–3 personalization tokens.
  3. Select an automation tool that allows pacing and integrates with your CRM (validate safety with vendor docs) (Source: Domain).
  4. Run outreach in small weekly cohorts (50–100) and monitor acceptance, reply, and meeting rates.
  5. Iterate based on which message stage has the biggest drop-off.

Internal resources to help you get started: Blog Inside and ROI calculators linked below.

Conclusion — Why a boring LinkedIn outreach strategy can win

A predictable, repeatable LinkedIn outreach strategy prioritizes consistent inputs, measurable outputs, and scalable personalization. The video demonstrates that small, well-timed touches combined with disciplined follow-up can create reliable pipeline and revenue — in the host's case, a documented $40K/month outcome (Source: YouTube).

Remember: treat the video's numbers as a case study. Validate tool safety, test in small cohorts, and use metrics to iterate toward your own performance benchmarks (Source: Domain).


Frequently Asked Questions

What is the outreach cadence used in this LinkedIn strategy?

The cadence outlined in the video is a multi-step sequence: connection request, a first value/curiosity message within 24–48 hours, a follow-up 3–5 days later offering times, a second follow-up with a brief case/example, and a final breakup/value-add message around two weeks after the last touch. Each message is short, focused, and designed to move the conversation toward a 10–20 minute call. This cadence balances persistence and respect for the prospect's time while maximizing reply opportunities (Source: [YouTube](url)).

How much personalization is required for each message?

Personalization should be concise: 1–2 relevant tokens such as company, role-specific pain, or a recent post. The host stresses that "personalization doesn't have to be long — a relevant line is enough to start a conversation," which lets you scale outreach without losing relevance. Reserve deeper personalization for high-value prospects who are worth manual attention (Source: [YouTube](url)).

Can I automate LinkedIn outreach safely?

The video recommends automating the sequence but not the relationship: use tools to schedule and send messages while maintaining personalization and human review. However, the safety and long-term effect on your LinkedIn account vary by tool and settings; confirm with vendor documentation and platform policies before scaling (Source: [Domain](url)).

What metrics should I track to know if outreach is working?

Track acceptance rate, reply rate, meeting-booking rate, pipeline value, and closed revenue. The host highlights reply rates and pipeline value as primary KPIs to evaluate and iterate on your sequence. Use CRM integration to calculate conversion percentages and forecast expected revenue based on average deal size (Source: [YouTube](url)).

How do I scale personalization without losing effectiveness?

Use short personalization tokens (company, role, recent post) and maintain a template library. Automate message sending but allocate manual review time for top-tier prospects. This hybrid approach—automate routine touches, personalize high-value ones—keeps outreach scalable while preserving relevance (Source: [YouTube](url)).

Is $40K/month a typical result for this strategy?

The $40K/month figure is the host's reported outcome from their LinkedIn outreach system and serves as a case study. Individual results will vary widely based on target market, offer, pricing, and execution. Treat the video's number as an illustrative benchmark; test the system in your context and track your own metrics to determine expected results (Source: [YouTube](url)).

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