If you’re looking to build your own LinkedIn sequence system, you’re in the right spot. This article is solely dedicated to implementing every required automation to smoothly run a sequence.

​

Overall Architecture

​

Requirements

• Follow the article Adding & Managing Users.
• Have a clear understanding of your data model.

To build campaigns, you need a combination of three stages, each with its own business logic:

1. Sequence Initialization:
   • Enrich the leads to send a sequence to.
   • Identify the lead’s connection degree with the user sending the sequence.
   • Schedule connection requests.
2. Detect Accepted Connection Requests:
   • This process is scheduled on Captain Data and repeats at a frequency of your choice (recommended: every 3 hours).
   • Detect connection requests that have been accepted.
3. Sequence Running:
   • Logic for sending messages and detecting replies.

​

Prerequisites

Before starting, ensure the following:

• The LinkedIn account of the user sending the sequence is connected.
• You have access to the LinkedIn profile URL of the leads for the sequence.

​

Schemas Legend

​

Sequence Initialization

​

Connection Degree

Determine the connection degree between your user and the leads to interact with. Based on this information:

• Schedule connection requests using Connect LinkedIn Profile.
• Move leads to the next step.

​

Extract Your User’s Connections & Detect Accepted Requests

You need to identify when connection requests are accepted using Extract LinkedIn Connections. Regularly extract net new LinkedIn connections of the end-user and compare them with leads to engage.

• Frequency: Every 3 hours.
• Parameter: max_minutes=180 in concordance with your repeat frequency, here 180 minutes for 3 hours, to ensure you only get new connections.

Use this JSON body payload when launching a Run (Job):

{
  "job_name": "Fetch New Connections",
  "steps": [
    {
      ... "parameters": { "max_minutes": 180 },...
    }
  ],
  "repeat_option": {
    "type": "hour", // minute/hour/day/week/month
    "value": 3  // Must be an integer representing the interval
  }
}

Here is the Launch a Workflow API Reference to help you.

Using the Extract LinkedIn Connections workflow, sync connections every 3 to 6 hours. This approach ensures a balance between efficiency and adhering to LinkedIn’s limits.

Some Key Points:

• Account limits: Each account can add up to 100 new connections per week (default batch is 25/day, sending 5 requests every 30 minutes).
• Pagination: Returns 40 connections per page.
• Timing: Extracting connections multiple times daily optimizes results.

​

Sequence Running Process

This process is triggered when a connection request has been accepted. You then:

1. Send a LinkedIn message using Message LinkedIn Profile.
2. Detect replies by setting the check_reply parameter to true, see Message LinkedIn Profile full documentation.

You can easily fetch all conversations and messages to leverage within your product. We recommend using the following automated Action:

• Extract LinkedIn Conversations
• Extract LinkedIn Messages

​

Additional Features

Some users add profile visits to their sequences. This can also run as a stand-alone process:

1. Launch Workflow for Profile Visit.
2. Await success webhook.
3. Get results.
4. Update your data model to track the visit action as part of the campaign report.

​

Data Models

In the lighter version above, all attributes are attached to the Leads and everything is managed from this table. This is an ideal implementation:

The following data model is recommended for organizing leads:

​

Connections

You should probably centralize connections, as there’s a high probability that User A has similar connections to User B.

• We recommend creating a join between Users and Connections, as described in UsersConnections.
• Not doing this means handling duplicates. Since a user can have up to 30,000 connections, this can quickly become a burden for your database.
• Don’t forget to save and add the connected_at attribute to know when both accounts connected.

​

Actions APIs to Use

• Extract LinkedIn People Profile
• Visit LinkedIn Profile (optional)
• Connect LinkedIn Profile
• Message LinkedIn Profile
• Extract LinkedIn Connections
• Extract LinkedIn Conversations
• Extract LinkedIn Messages
• Enrich LinkedIn User Contact Information (optional)
• Withdraw LinkedIn Pending Invitations (optional)
• Like LinkedIn Post (optional) It could be interesting to like posts on behalf of users in an ABM campaign.

​

Best Practices

1. Validate LinkedIn URLs:

   • Ensure profile URLs follow the pattern linkedin.com/in/.
   • Ensure company URLs follow the pattern linkedin.com/company/.

2. Differentiate IDs:

   • Track linkedin_profile_id for leads (immutable).
   • Save sales_navigator_profile_id to trigger automations and regenerate URLs.

3. Pending Requests:

   • Track if a request exceeds 20 days.
   • Withdraw pending invitations to unclutter sent invitations.

​

Data Attributes for Reporting

To give your users a great experience, we recommend keeping track of the following:

Let us know if you have specific needs or additional features to implement!