Maximize Your Sales Efficiency: 10 Lead Scoring Best Practices You Need to Know

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Lead scoring enables sales and marketing teams to identify leads based on a points system. But what should you keep in mind when developing a lead scoring model?

To be successful, sales and marketing teams must come together and implement strategies to ensure leads are sales-ready. To do this, lead scoring models based on certain qualifying criteria should be used to identify prospects who are most likely to make a purchase.

Businesses must rely on multiple data sources and use trial and error to find the most effective lead scoring strategy that gets results. Here are some best practices to help ensure your lead scoring model is doing its job.

IFP visual on the 10 best lead scoring practices

1. Align sales and marketing

When rolling out a lead scoring model, one of the first things to do is to ensure your sales and marketing teams are aligned.

Sales teams are responsible for identifying trends in conversations that lead to opportunities, including who the decision makers are and what pain points they have.

From this point of view, sales teams have a close relationship with leads, which can be useful information in the hands of marketing teams as they incorporate these patterns when developing a lead scoring model.

2. Develop clear buyer personas

Buyer personas are detailed representations of a business’s target audience. Ensuring you have clear customer profiles allows marketing teams to identify leads that are most likely to convert.

In a lead scoring model, sales and marketing teams give scores to their target audience to validate which ones are hot leads. Additional scores are added once prospects start to engage with campaigns or content.

Assign scores based on demographic data to identify marketing qualified leads (MQLs). Consider using profile data such as title or role, department, industry, company, annual revenue and location to score against.

3. Determine the threshold value

The lead scoring threshold determines the point where target customers become MQLs and is based on demographic data or other actions they have taken in the past. It can be any number, but it’s recommended to start with a MQL score of 100.

Once those leads have reached the threshold value, an internal workflow should let the sales team know that they are sales-ready.