Automating Lead Scoring and Nurturing
As your business grows, you will start to generate a larger volume of leads. But not all of these leads are created equal. Some are just casually browsing, while others are ready to make a purchase right now.
Your sales team has a limited amount of time. They need to focus their efforts on the hottest, most qualified leads. But how do you identify them?
This is where lead scoring and automated lead nurturing come in. These are two powerful marketing automation strategies that work together to help you to prioritize your leads and to guide them effectively through your sales funnel.
What is Lead Scoring?
Lead scoring is the process of automatically assigning a numerical score to each of your leads based on their characteristics and their behavior. The score is used to determine a lead's "sales-readiness." A lead with a high score is considered a "hot" or a "marketing-qualified lead" (MQL) and should be sent to the sales team for immediate follow-up.
How it Works:
You set up rules in your marketing automation platform or your CRM to assign points to a lead based on different attributes.
- Demographic / Firmographic Scoring: You can assign points based on their profile information.
- A lead with a job title of "Manager" or "CEO" might get +10 points.
- A lead from a company in your target industry might get +5 points.
- Behavioral Scoring: This is often more powerful. You assign points based on the actions a lead takes on your website or with your emails.
- Visited your pricing page: +15 points.
- Downloaded a "bottom-of-the-funnel" case study: +20 points.
- Opened an email: +1 point.
- Unsubscribed from your email list: -50 points.
A lead's score will dynamically change as they continue to interact with your brand.
The Benefit of Lead Scoring:
It allows your sales team to instantly identify and to prioritize the leads who are showing the strongest signals of interest and intent, which makes them much more efficient and effective.
What is Automated Lead Nurturing?
Automated lead nurturing is the process of using automated email sequences to build a relationship with your leads and to provide them with the right information at the right time, based on their interests and their stage in the sales funnel.
How it Works with Lead Scoring:
Lead scoring and nurturing work together perfectly. You can use a lead's score or their behavior to automatically trigger the right nurture sequence.
- A "Cold" Lead (Low Score): A new lead who has only downloaded a top-of-funnel e-book might be entered into a long-term "educational" nurture sequence that slowly builds trust and provides value over time.
- A "Warm" Lead (Medium Score): A lead who has visited your service pages and has downloaded a case study might be entered into a more product-focused nurture sequence that highlights the benefits of your solution.
- A "Hot" Lead (High Score): When a lead's score crosses a certain threshold (e.g., 100 points), the automation can be set up to:
- Stop the marketing nurture sequence.
- Automatically assign the lead to a salesperson in your CRM.
- Send an internal notification to the salesperson, telling them to follow up immediately.
The Tools You Need
To implement these strategies, you will need a marketing automation platform that has both lead scoring and automation capabilities.
- Popular Platforms: There are many powerful platforms that are great for B2B lead scoring and nurturing.
Conclusion
Automating your lead scoring and nurturing process is the key to building a truly scalable and efficient sales and marketing machine. It allows you to systematically identify your best prospects, to deliver a more personalized and relevant experience to every single lead, and to ensure that your sales team is always focused on the opportunities that are most likely to close. It's a data-driven approach that can transform your lead management process and can have a massive impact on your bottom line.
Disclaimer
The information provided on this website is for general informational purposes only and may contain inaccuracies or outdated data. While we strive to provide quality content, readers should independently verify any information before relying on it. We are not liable for any loss or damage resulting from the use of this content.
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