Master HubSpot Lead Scoring: Engagement Data for E-commerce Success

Hey ESHOPMAN community!

As experts deeply entrenched in both HubSpot and the vibrant world of e-commerce, we often see common questions pop up that highlight nuances in how HubSpot works. Recently, a discussion in the HubSpot Community caught our eye, bringing to light a classic lead scoring dilemma that many of you, especially those running online stores, might have faced.

The Head-Scratcher: Website Engagement as 'Fit'?

The original poster, let's call them Isa, shared a perfectly valid point of confusion: their HubSpot portal was categorizing website engagement data—things like the number of page views or sessions—into the 'fit' category of their lead score, rather than 'engagement'. As Isa rightly pointed out, aren't these the very definition of engagement?

This creates a real problem. Imagine having contacts with a perfect 'fit' score (100 points!) because they match your ideal customer profile demographically, but you can't tell if they're actually active and interested based on the engagement part of the score. It makes it incredibly difficult to prioritize outreach or tailor marketing efforts effectively.

Understanding HubSpot's Default Logic (and Why It's Not Always Perfect for E-commerce)

So, why does HubSpot do this? While it might seem counterintuitive at first glance, HubSpot's default lead scoring model often distinguishes between 'fit' and 'engagement' in a specific way:

Fit: This typically refers to static, demographic, or firmographic attributes that make a contact a good match for your product or service. Think company size, industry, job title, location. It's about who they are.
Engagement: This is generally about the actions a contact takes, signaling interest or intent. This could be form submissions, email clicks, content downloads, or specific interactions that show progress down a funnel. It's about what they do.

The challenge arises because some website engagement metrics, like 'number of page views,' can be seen as attributes of a contact's profile over time, rather than a single, distinct engagement event. HubSpot's out-of-the-box scoring might consider these as part of a contact's overall 'profile' rather than a direct, high-intent action. For a typical B2B sales cycle, this distinction might make sense. But for e-commerce, where every click and page view can signal buying intent, this default categorization often falls short.

The E-commerce Imperative: Granular Engagement Scoring

For online stores, understanding true engagement is paramount. A customer who views 10 product pages in a single session is far more engaged than one who only visited your homepage once, regardless of their 'fit.' This is where a custom approach becomes not just beneficial, but essential. Whether you're using ESHOPMAN for a built-in storefront or integrating data from a storego saas online store builder, getting this right within HubSpot can make or break your RevOps strategy.

How to Build a Better Behavioral Score in HubSpot

The good news? You're not stuck with HubSpot's default. Here’s how you can create custom engagement criteria that truly reflect your e-commerce customer's journey:

Step 1: Define Your Engagement Metrics

Think about what website actions truly signify interest for your store. This might include:

Number of product page views
Time spent on product pages
Views of specific collections or categories
Interactions with 'add to cart' buttons (even if not completed)
Use of search functionality on your site
Visits to your 'About Us' or 'FAQ' pages

Step 2: Create Custom Properties

For each key engagement metric, create a custom contact property in HubSpot. For example:

Property Name: Total Product Page Views Last 30 Days
Field Type: Number
Property Name: Sessions with Product Interaction Last 7 Days
Field Type: Number

You can find these under Settings > Properties > Create property.

Step 3: Use Workflows to Populate These Properties

This is where the magic happens. Set up workflows to automatically update these custom properties based on contact activity:

Trigger: A contact views a page that contains /products/ in the URL (or whatever your product page URL structure is).
Action: Increment the Total Product Page Views Last 30 Days property by 1. Add a 'Delay' action if you want to prevent rapid-fire increments within a short period.
Re-enrollment: Ensure contacts can re-enroll if they perform the action again (e.g., view another product page).
Resetting: For 'Last X Days' properties, you'll need a separate workflow that runs periodically (e.g., monthly or weekly) to reset the value to zero for all contacts, ensuring the score reflects recent activity.

Step 4: Create a Custom Lead Score Property

Now, create a new custom score property (e.g., 'ESHOPMAN Engagement Score') under Settings > Properties > Create property > Score. Here, you can define your own criteria based on the custom properties you just created:

Add 10 points if Total Product Page Views Last 30 Days is greater than 5.
Add 15 points if Sessions with Product Interaction Last 7 Days is greater than 2.
Subtract points for inactivity (e.g., no website visits in 60 days).

This allows you to build a dynamic, behavior-driven score that truly reflects a contact's interest in your products, separate from their demographic 'fit.'

ESHOPMAN Team Comment

The original poster hit on a critical point that the default HubSpot lead scoring can be misleading for e-commerce businesses. We wholeheartedly agree that website engagement, especially for online stores, is pure 'engagement' and should be scored as such. Relying solely on 'fit' without a robust behavioral score means missing out on crucial purchase intent signals. Custom scoring, as outlined, is the definitive way to bridge this gap and empower your sales and marketing teams with truly actionable data.

Beyond the Score: Leveraging Your New Data

Once you have a refined engagement score, the possibilities are endless:

Sales Prioritization: Your sales team can immediately see who is actively browsing and showing high intent, allowing them to reach out at the perfect moment.
Targeted Marketing: Segment contacts based on their engagement score for highly personalized email campaigns, ad retargeting, or special offers.
RevOps Alignment: Ensure your marketing and sales teams are aligned on what truly constitutes a 'sales-ready' lead, backed by clear behavioral data.

Don't let HubSpot's default categorization hold you back. By taking control of your lead scoring and building out custom engagement properties, you can transform how you identify, nurture, and convert interested shoppers into loyal customers. It’s all about making HubSpot work smarter for your unique e-commerce needs.