LinkedIn Automation: Building a Sequence from Start to Finish

How to Build an Automated LinkedIn Prospecting Workflow from Start to Finish? Connecting, messaging, follow-ups, backup emails: the complete guide, including the tools and volumes you need to follow.

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LinkedIn Automation: Building a Sequence from Start to Finish

A well-designed automated LinkedIn workflow generates a steady stream of qualified conversations without requiring manual intervention at every step. Here's how to build one from scratch.

Step 1: Define the target audience and build the list

Before setting anything up, clearly define your target audience: industry, company size, decision-maker’s title, and geographic area. The more specific the segment, the more relevant the message can be.

LinkedIn Sales Navigator is the go-to tool for building this list. Its advanced filters allow you to identify prospects with a level of detail that’s impossible to achieve using the standard interface: recent hires, workforce growth, technologies used, and recent posts.

Export the list to an enrichment tool such as Clay or Apollo to add work email addresses. This step helps prepare the email channel as a backup in case the LinkedIn connection fails.

Step 2: Configure the sequence

The typical process on LinkedIn consists of 4 steps.

Day 1: Connection request. No sales pitch in 70% of cases. Requests without a sales pitch have a higher acceptance rate than those with one. For highly qualified accounts (key accounts, C-level), a short, non-sales-oriented message can be effective.

Day 3 after acceptance: first LinkedIn message. Keep it short, personalized, and link-free. 3 to 5 lines maximum. Goal: to prompt a response, not to sell.

Day 7 with no response: Follow up on LinkedIn or switch to email. If the prospect hasn't responded to the first message, send a cold email at the same time with a different angle.

12 days with no response: final follow-up. Keep it short, ask a direct question, and use a relaxed tone.

Step 3: Customize on a Large Scale

Personalization is not optional on LinkedIn. Generic messages are immediately recognized and ignored. Every message must include at least one element specific to the prospect.

Clay automatically generates icebreakers based on a prospect’s recent posts, their background, or news about their company. These icebreakers are inserted as variables into LaGrowthMachine or Waalaxy templates.

Step 4: Monitor and Optimize

Track the acceptance rate for connection requests (target: 30 to 50 percent, depending on the segment).

First-message response rate (target: 10 to 20%).

Appointment conversion rate (target: 3 to 8% of the initial list).

If the acceptance rate is too low, the problem lies with the outreach message or the profile. If the response rate is too low, the message's copy needs to be reworked.

To learn more about combining LinkedIn and email, the multichannel approach explains how to integrate both channels into a single, cohesive workflow.

Summary

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The benefits of AI prospecting

Save time on prospecting

Automated identification and contact.

Get a steady and predictable pipeline

Constant flow of qualified leads.

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A clear and automated CRM system.

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Build your skills for the long term

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Antonin Gremeaux

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Juliette Faivre

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Etienne Leblan

Growth expert

Chloe Einhorn

CEO Scal·ia

Elodie Hoarau

Growth Expert

Agathe Morand

Growth Expert

Nazanin Hosseini

Marketing Manager

Samuel Tibi

Growth Expert

Antonin Gremeaux

CRM Expert

Juliette Faivre

Growth expert

Etienne Leblan

Growth expert

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