By the end of this tutorial, you'll know how to configure lead scoring, use it to prioritize follow-up in your campaign lead list and task list, and apply score-based logic in your outreach workflow.

Lead scoring helps you quickly identify which leads are showing the strongest buying or reply intent, so you don't have to manually check opens, clicks, replies, LinkedIn actions, or other signals one by one. Instead of guessing who to follow up with next, you can sort and filter by score and focus on the most engaged leads first.

Before changing any settings, it's important to understand what the score actually means.

Lead scoring is a prioritization signal, not a guaranteed, manually calculable points total.

The score is dynamic and updates automatically as leads interact with your outreach. That includes email engagement, LinkedIn engagement, and other intent signals that may be active in your workspace.

The values in Lead Scoring settings act as relative importance or weighting. They do not mean every event adds a fixed number you can sum like a spreadsheet.

As a result:

Depending on what your workspace uses, lead scoring can take signals from the following categories into account:

Not every workspace uses every signal. If a related product or feature is not enabled, that signal won't affect the score.

You can:

You can't currently:

Click your workspace avatar in the bottom-left corner, then select [Settings]. This is where workspace-level scoring behavior is managed.

In the settings sidebar, click [Lead scoring]. This opens the configuration page where you choose which engagement signals matter in your workspace.

On the Lead scoring page, review the available signals and the value assigned to each one. These values tell lemlist which signals should matter more or less when calculating the final score.

Use these values as weights, not fixed points. For example, giving replies a higher value than opens tells lemlist that a reply is a stronger sign of interest, but it does not guarantee a simple “+X” increase every time a reply happens.

Turn signals on or off based on what matters in your workflow. For example, if your team doesn't use LinkedIn steps or website visitor tracking, disabling those signals can keep the score more aligned with the activity you actually care about.

Once configured, the score updates automatically as lead activity changes. Use it as a fast prioritization layer, then check the activity breakdown when you want context on why a lead ranks higher.

Go to [Campaigns], then open the campaign you want to review. This is the fastest place to see which leads inside a specific campaign are most engaged.

Inside the campaign, click [Lead list]. You'll see a Lead score column directly in the list so you can compare leads at a glance.

Click the filter icon, choose [Lead score], and select the score range you want to review. This is especially useful when you want to focus only on the hottest leads instead of scanning the full list manually.

Use the score as a prioritization shortcut: start with the highest-score leads for personal follow-up, call tasks, or faster handoff.

Go to [Tasks], then click [Filters]. This lets you narrow your task queue to the leads that matter most right now.

Click [Add a filter], then expand [Lead]. Lead-level filters let you prioritize tasks based on the associated lead's engagement.

Select [Lead score]. This tells lemlist you want to filter tasks using the lead's computed engagement score.

Choose a score band such as 91 to 100, 71 to 90, 51 to 70, or 0 to 50. These ranges help you operationalize the score without having to inspect every lead individually.

After applying the filter, your task list updates to show only tasks tied to leads in that score range. This is a good workflow for working high-intent leads first.

You can also use lead score inside campaign sequences to adapt the path a lead takes based on interest level.

In your campaign sequence builder, add a Lead score condition. Set the score threshold you want a lead to reach, and, if needed, define a timeframe for how long the system should wait before evaluating that condition.

Use this when you want the sequence to react differently depending on engagement. For example, a highly engaged lead can move to a stronger call-to-action, while a lower-score lead can stay in a lighter nurture path.

Here's a simple way to use lead scoring in a real workflow:

A practical example: if a lead opens, clicks, and then replies, their score will usually rise enough to move them above leads who only opened emails. That makes it easier to focus your next manual action on the lead showing stronger intent.

Issue: The score doesn't match the values I set in settings
Root cause: The settings act as relative weights, not as a strict additive formula.
Fix:

Issue: Two leads with similar actions have different scores
Root cause: Scores are dynamic and can reflect different timing, signal combinations, and enabled workspace features.
Fix:

Issue: A lead opened multiple times but the score didn't grow as expected
Root cause: Multiple interactions of the same type do not necessarily increase the score in a perfectly linear way.
Fix:

Issue: I don't see expected signals affecting the score
Root cause: Some signals depend on additional products or features being enabled in the workspace.
Fix:

Issue: I want to manually edit or override a lead's score
Root cause: Manual overrides are not currently supported.
Fix: