Question 1

What is the LinkedIn Lead Engine?

Accepted Answer

The LinkedIn Lead Engine is We-Connect's visual campaign workflow builder. It lets you design multi-step LinkedIn outreach campaigns using a drag-and-drop canvas with branching logic, AI agents, conditions, and 15 channel action nodes. Unlike fixed sequences that send every contact the same messages in the same order, the Lead Engine builds workflows that adapt to what each prospect does so the right message reaches the right person at the right time.

Question 2

How does the LinkedIn Lead Engine workflow builder work?

Accepted Answer

You build your campaign on a visual canvas by connecting nodes in the order you want them to run. Start with your audience source, configure your campaign settings, then add nodes from four categories: orchestration nodes that control flow and timing, channel action nodes that execute LinkedIn and email actions, AI agent nodes that score and route contacts automatically, and other action nodes that handle CRM updates, tags, webhooks, and campaign moves. Once published, the workflow runs automatically and every contact follows the path that matches their behaviour.

Question 3

What is branching logic and how does it work in the Lead Engine?

Accepted Answer

Branching logic lets your workflow follow different paths depending on what a contact does. Add a Conditions node and set a rule, for example if a contact accepted your connection request they go down one path, if they did not they go down another. Conditions can be based on connection status, reply behaviour, email engagement, InMail credit availability, lead score, and more. Each Conditions node creates a green path for contacts who meet the condition and a red path for those who do not, so every contact always gets the most relevant next step.

Question 4

How does AI lead scoring work in the Lead Engine?

Accepted Answer

The profile scoring agent evaluates each contact against your ideal customer profile and returns a score between 0 and 100. You configure the scoring criteria including industry, location, company size, and target job title, and assign a weight of low, medium, or high to each one. The AI calculates a weighted average and converts it into a final score. Use a Conditions node immediately after the scoring agent to set a threshold. Contacts who score above it move forward in your workflow, those who do not are tagged and exited. A threshold of 75 or above is recommended for high-quality outreach.

Question 5

What is the sentiment analysis agent?

Accepted Answer

The sentiment analysis agent analyses how contacts engage with LinkedIn posts and segments them by sentiment. It reads reactions, comments, and reposts on the posts you specify and classifies each contact as positive, neutral, or negative. Each sentiment segment creates a separate path in your workflow so positive contacts receive one follow-up sequence, neutral contacts receive another, and negative contacts can be excluded or handled differently. The sentiment analysis agent requires a LinkedIn post as your campaign audience source.

Question 6

How do I build my first LinkedIn Lead Engine workflow?

Accepted Answer

From the Campaign Manager click Create a new campaign and select the LinkedIn Lead Engine. Choose Create from scratch to open the canvas. Configure your audience source, AI business snapshot, and campaign settings in the Start campaign setup node. Then click the plus button below the node to start adding steps. A good starting point is a Conditions node to check if a contact is already connected, followed by a connection request for those who are not, then another Conditions node to check if they accepted before sending your first message. Save at any point and use Run test to preview behaviour before publishing.

Question 7

How is the Lead Engine different from a standard LinkedIn sequence?

Accepted Answer

A standard LinkedIn sequence follows a fixed series of steps in a set order regardless of what a contact does. The Lead Engine replaces that with a dynamic workflow that branches based on real behaviour. If a contact replies, they go down a different path than one who ignores your message. If a contact scores below your ICP threshold, they exit the workflow before you waste outreach on them. If a contact engages positively with a post, they get a warmer message than a neutral contact. Every decision is made automatically based on what each contact actually does.

Question 8

What is the difference between the Lead Engine and the Legacy Smart Sequence?

Accepted Answer

The Legacy Smart Sequence is a linear tool that sends contacts through a fixed series of steps with basic time delays between them. The LinkedIn Lead Engine is a full workflow builder with branching conditions, AI agent nodes, sentiment analysis, lead scoring, multi-channel execution across LinkedIn and email, CRM integrations, and real-time contact tracking across every node. The Lead Engine is designed for teams that need full control over how their campaigns behave, not just when messages are sent.

Question 9

Can I combine LinkedIn and email in a Lead Engine workflow?

Accepted Answer

Yes. The Lead Engine supports multi-channel campaigns that combine LinkedIn and email steps in a single workflow. Add a Send email or Follow-up email node alongside your LinkedIn actions and configure your mailbox in the campaign settings. You can trigger email steps based on LinkedIn behaviour, for example sending a follow-up email to a contact who did not accept your connection request. LinkedIn and email performance are tracked separately in the campaign stats so you can see how each channel is performing.

Question 10

How do I get access to the LinkedIn Lead Engine?

Accepted Answer

The LinkedIn Lead Engine is available now in beta. Sign up for a free trial to get early access to the most advanced LinkedIn workflow builder on the market. The Lead Engine is included on every plan at no extra cost. As new features are added during the beta period they will be available automatically.

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LinkedIn Lead Engine. Smarter Outreach Workflows

Sequences are too rigid for modern outbound.

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