Are you starting to generate leads, but struggling to distinguish the hot prospects from the lukewarm ones? Welcome to a common hurdle that many B2B software companies face as they scale. The good news? HubSpot has a solution, and it's called Lead Scoring.
In this blog post, we’ll guide you through the process of optimizing your lead scoring strategy in HubSpot using integrated data. By the end of this post, you'll be able to prioritize leads effectively, supercharge your sales efforts, and ultimately boost your revenue. Let's get started.
Picture this: Your marketing team is firing on all cylinders, generating a plethora of leads. While this influx of potential customers is exciting, it also poses a challenge. How do you sift through the leads and identify the ones that are most likely to convert into paying customers? Without an effective lead scoring system, you're left with a lengthy list of leads, many of which might not be sales-ready. This makes it hard to point your sales team in the right direction and ensure you strike when the iron is hot.
Lead Scoring is a method that involves configuring lead scoring models in HubSpot, taking advantage of integrated data sources. This approach enables you to assign scores to leads based on their behavior, engagement, and other relevant factors.
Before diving into HubSpot, take a moment to define your scoring criteria.
Three things to consider when defining your score:
In your HubSpot dashboard, navigate to you Contact Properties, and find "HubSpot Score." Here, you can determine both the positive and negative attributes that contribute to your customized lead scoring model. Configure your models to assign points for each qualifying action or behavior, and adjust the scores to reflect the level of importance.
Things to consider:
Example HubSpot Score Model
Company Description: B2B legal-tech SaaS company that sells to the legal departments of high-growth insurance companies with 200-500 employees, $10 - $50M in revenue, and have recently raised funding.
Ideal Customer Persona:
Attribute Score
Positive |
Negative |
+10 More than 6 sales email opens in last 14 days |
-50 unsubscribes |
+10 More than 2 sales email clicks in the last 14 days |
-5 Email domain is any of “gmail, outlook, hotmail” |
+10 More than 5 website visits in the last 14 days |
-5 Email domain contains “.edu” |
+5 Sales Collateral Download |
-5 Last sales email open date is more than 30 days ago |
+5 G2 page visit |
-5 Last sales email clicked date is more than 30 days ago |
+3 Pricing Page Visit on the website |
-5 Last website visit is more than 30 days ago |
+3 Recent funding <3mo |
-3 Company revenue < $10M |
+3 Currently hiring |
-3 Company employees <100 |
+2 Job title contains the words ‘legal’ |
-3 Seniority level is Entry Level |
+1 Industry is Software |
-3 Location is none of United States |
+1 Company revenue is > $10M < $50M |
-3 Company name contains any of ‘University’ or ‘College’ |
+1 Company employee count is > 200 < 500 |
+5 % of Sales Employess is <1 |
+1 Contact location is United States |
|
+5 % of Sales Employees is >10 |
|
+5 Deal outcome is any of Win, Win to Competitor, Lost, Lost to Competitor |
|
+3 Deal outcome is known |
Behavior Score
Positive |
Negative |
+10 Has filled out a demo page |
- 5 viewed the jobs page |
+3 Recent conversion date is less than 26 weeks ago |
-5 recent conversion date is more than 3 weeks ago |
+5 Last marketing email click date is less than 30 days ago |
-5 last marketing email open is <23 weeks ago |
+5 Last marketing email click date is less than 30 days ago |
-3 number of form submissions is unknown |
+3 Marketing emails clicked is 1-2 |
-3 number of marketing email opens is unknown |
Determine the various segments of your lead scoring model by carefully analyzing the range of scores that can be assigned to each lead. Consider how these scores reflect the likelihood of conversion and categorize them into distinct groups such as hot, warm, nurture, cold, and do not contact. This segmentation will help you to effectively prioritize and manage your leads, ensuring that your sales and marketing teams can tailor their strategies and outreach efforts accordingly.
Example Breakpoints for the above
Hot Leads |
< 30 |
Warm Leads |
> 15 < 30 |
Nurture |
> 15 > 0 |
Cold Leads |
< 0 > -20 |
Do not contact |
< -20 |
Implement your lead scoring models and closely monitor the results. Analyze how well your scoring aligns with actual lead conversions. As you collect more data, refine your scoring models to ensure they accurately predict lead quality.
For lead scoring to be truly effective, it must align with your sales and marketing teams. Collaborate to establish lead handoff criteria, ensuring that highly scored leads receive prompt attention from your sales team. Consider an automated workflow for assigning tasks to your sales team when a hot lead comes in.
Lead Scoring is a key component to conquering the lead overwhelm and boosting your sales efforts. By configuring lead scoring models with integrated data in HubSpot, you'll transform your headache into a well-organized and efficient lead prioritization system.
Ready to dive into the world of HubSpot lead scoring? Reach out to us today to chat about how we can help you get setup. Stay tuned for more recipes to tackle your HubSpot headaches, one at a time.