Book 2-5 Calls from LinkedIn – Six Figure Creator by Matthew Lakajev

Book 2-5 Calls from LinkedIn by Matthew Lakajev teaches the Sell by Chat system for finding prospects and starting sales conversations without paid ads. It focuses on people who have already interacted with your LinkedIn presence rather than relying on audience growth alone.

The course is designed for consultants, coaches, freelancers, and service providers who sell through calls. Its approach requires active outreach rather than passive lead generation.

Skills you’ll build with Sell by Chat

• Optimize your LinkedIn profile as a high-converting landing page that attracts ideal clients
• Apply the Sell by Chat (SBC) 11-message DM sequence to convert warm leads into booked calls
• Use intent-based outreach triggered by profile views, likes, and comments to reach pre-warmed prospects
• Build a 45-minute daily lead machine routine that consistently generates 2-5 sales calls per week
• Create authority content using five post formats derived from 54,100+ viral LinkedIn posts analyzed
• Run close-loss campaigns monthly to re-engage past prospects and previous clients into new revenue

Course materials and tools

The package contains 19 courses, 760 modules, and more than 25 hours of content. Materials include videos, documents, and PDFs.

Tools and resources include Growth Mode CRM, LinkNinja, more than 25 custom GPTs, a Notion dashboard, and DM swipe files.

Student examples

The course presents examples from people who used LinkedIn and chat-based selling. Matt Doan reported $60,000 in one month, while Bjion Henry, with 30,000 followers, booked 181 calls in Q4.

Ryan Musselman, with 65,000 followers, reported $34,000 through chat-based selling. Jeremy Farrugia, with 5,000 followers, saw an $18,000 deal grow into a $46,000 retainer, and Pranjal Patel, with 6,000 followers, reported $12,000 to $20,000 per month for four consecutive months.

The LinkedIn course breakdown

• Profile positioning: Develop an ideal-client focus and configure the headline, About section, and Featured section to encourage visitors to connect.
• Content strategy: Work with personal stories, how-to posts, listicles, contrarian posts, and lead magnet posts. Custom GPTs support the process of batching AI-assisted content.
• Outreach: Use the Sell by Chat sequence across outbound messages, responses to inbound calls to action, and conversations prompted by engagement. Follow-up intervals include five minutes, one hour, one day, and two days.
• Workflow and scaling: Organize prospecting around a daily routine and explore Sales Navigator, close-loss campaigns, standard operating procedures, team hiring frameworks, and an Instagram growth module.

About Matthew Lakajev

Matthew Lakajev is a co-founder of Seven Figure Creators. At Zoom, he booked 750 meetings a year and received three promotions in three years. After leaving a $280,000 compensation package in April 2022, he built a seven-figure business within 12 months while spending under $1,000 per month on tools.

Favikon ranked him first in Australia and sixth worldwide for lead generation. He has more than 109,800 LinkedIn followers, has coached over 1,800 founders generating $172 million annually, and reports more than $3.5 million in his own sales without paid ads.

Frequently asked questions

What does Book 2-5 Calls from LinkedIn cover?

The course covers LinkedIn profile positioning, content formats, chat-based outreach, daily prospecting, and ways to scale the workflow.

Who is the course designed for?

It is aimed at consultants, coaches, freelancers, and service providers who use sales calls to win clients.

What is the Sell by Chat sequence?

Sell by Chat is an 11-message DM framework that moves from an initial lead magnet offer toward a meeting commitment. It includes follow-up timing and approaches for outbound, inbound, and intent-triggered conversations.

What materials are included?

The materials include videos, documents, PDFs, a Notion dashboard, DM swipe files, and tools such as Growth Mode CRM, LinkNinja, and custom GPTs.