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In my previous article for MarTech, I offered advice to aspiring marketers modify your scoring strategy for 2025.
In that article, I identified five best practices for providing an impactful and responsive lead scoring model. Let’s quickly review them before diving into martech itself.
Include engagement data for real-time insights. Engagement data is key to understanding a potential customer’s interest and willingness to buy. It provides insight into how your prospects interact with your brand and indicates where they are in the buyer’s journey. Consider tracking engagement data from your website, newsletter, social media and events.
Use demographic data to determine fit. Demographics are key in assessing how well a prospect fits your target market. Important details to look out for include job title, role, industry and geography.
Integrate persona-based data for effective prospect analysis. Using persona data to score leads ensures that you focus on leads that match your ideal customer profile (ICP). Person data includes journey stage, pain points and communication preferences.
Use company attributes and ICP scoring. Company attributes are your compass for determining whether a prospect’s organization aligns with your target market. These include company size, revenue, installed technology, existing customers and growth trajectory, and competitors.
Use negative scoring to avoid wasting resources. Negative scoring prevents resources from being wasted on low-potential leads or a poor fit for your company’s products and services. Examples include job titles that are not relevant to sales, unengaged leads, competitors, and recent closed-lost deals.
Dig deeper: A scoring model your team will fall in love with
In the video below, I’ll review lead scoring best practices and walk you through how to build lead scoring in two popular CRMs: HubSpot and Monday.com.
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