🔥New! Self-learning models – Your scoring models become smarter every day. Talk to an expert!

6 CRM Fields that Will Impact Your Predictive Lead Scoring Model

6 CRM Fields that Will Impact Your Predictive Lead Scoring Model6 CRM Fields that Will Impact Your Predictive Lead Scoring Model

New mobile apps to keep an eye on

Hendrerit enim egestas hac eu aliquam mauris at viverra id mi eget faucibus sagittis, volutpat placerat viverra ut metus velit, velegestas pretium sollicitudin rhoncus ullamcorper ullamcorper venenatis sed vestibulum eu quam pellentesque aliquet tellus integer curabitur pharetra integer et ipsum nunc et facilisis etiam vulputate blandit ultrices est lectus eget urna, non sed lacus tortor etamet sed sagittis id porttitor parturient posuere.

  1. Lorem ipsum dolor sit amet consectetur rhoncus ullamcorper ullamcorper
  2. Mauris aliquet faucibus iaculis dui vitae ullamco
  3. Posuere enim mi pharetra neque proin vulputate blandit ultrices
  4. Posuere enim mi pharetra neque  pellentesque aliquet tellus proindi

What new social media mobile apps are available in 2023?

Sollicitudin rhoncus ullamcorper ullamcorper venenatis sed vestibulum eu quam pellentesque aliquet tellus integer curabitur pharetra integer et ipsum nunc et facilisis etiam vulputate blandit ultrices est lectus vulputate eget urna, non sed lacus tortor etamet sed sagittis id porttitor parturient posuere.

Posuere enim mi pharetra neque proin vulputate blandit ultrices

Use new social media apps as marketing funnels

Eget lorem dolor sed viverra ipsum nunc aliquet bibendum felis donec et odio pellentesque diam volutpat commodo sed egestas aliquam sem fringilla ut morbi tincidunt augue interdum velit euismod eu tincidunt tortor aliquam nulla facilisi aenean sed adipiscing diam donec adipiscing ut lectus arcu bibendum at varius vel pharetra nibh venenatis cras sed felis eget.

  • Lorem ipsum dolor sit amet consectetur fringilla ut morbi tincidunt.
  • Mauris aliquet faucibus iaculis dui vitae ullamco neque proin vulputate interdum.
  • Posuere enim mi pharetra neque proin  bibendum felis donec et odio.
  • Posuere enim mi pharetra neque proin aliquam mauris at viverra id mi eget.
“Eget lorem dolor sed viverra ipsum nunc aliquet bibendum felis donec et odio pellentesque diam volutpat.”
Try out Twitter Spaces or Clubhouse on iPhone

Nisi quis eleifend quam adipiscing vitae aliquet bibendum enim facilisis gravida neque velit euismod in pellentesque massa placerat volutpat lacus laoreet non curabitur gravida odio aenean sed adipiscing diam donec adipiscing tristique risus amet est placerat in egestas erat imperdiet sed euismod nisi.

What app are you currently experimenting on?

Eget lorem dolor sed viverra ipsum nunc aliquet bibendum felis donec et odio pellentesque diam volutpat commodo sed egestas aliquam sem fringilla ut morbi tincidunt augue interdum velit euismod eu tincidunt tortor aliquam nulla facilisi aenean sed adipiscing diam donec adipiscing ut lectus arcu bibendum at varius vel pharetra nibh venenatis cras sed felis eget.

Let's face it: creating a predictive lead scoring model can feel like trying to solve a Rubik's Cube blindfolded. You know all those colorful sides need to line up, but which moves will get you there? Well, here's a little secret – some of the most powerful pieces in your CRM puzzle might be hiding in plain sight.

Today, we'll explore six CRM fields that you might be tempted to ignore but shouldn't when creating your predictive lead scoring model. These often-underestimated data points can provide valuable insights into your leads' behavior and intentions, significantly enhancing the accuracy of your predictions.

1. Average Page Views

The number of pages a lead views on your website can be a strong indicator of their interest level. A higher average page view count often correlates with increased engagement and a greater likelihood of conversion. By including this metric in your predictive model, you can gain insights into which leads are actively exploring your offerings and may be closer to making a purchase decision.

 2. Marketing Email Interactions

Tracking whether a lead opens or clicks on your marketing emails provides valuable information about their level of engagement with your brand. Leads who consistently interact with your email content are typically more interested in your products or services. This field can help your model identify leads who are actively paying attention to your marketing efforts and may be more receptive to sales outreach.

3.  Count of Form Submissions

We all know that a form submission is a clear indicator of interest, however are you counting number of form submissions across your website, online content and offline presence? Counting form submissions per contact can be a clear indicator of commitment and is an important number to track at the contact or lead level.

4. Last Page View

The last page a lead viewed before leaving your website can offer insights into their interests and where they are in the buyer's journey. For example, if their last page view was a pricing page, it might indicate they're closer to making a purchase decision. Including this field in your model can help prioritize leads based on their most recent interactions with your site.

5. First Page View

The first page a lead lands on can reveal how they discovered your business and what initially piqued their interest. This information can help your model understand the lead's original intent and tailor predictions based on different entry points to your website. For instance, leads who first land on a specific product page might have different conversion patterns compared to those who enter through a blog post.

6. Conversion History (First, Last, and Recent)

Tracking a lead's conversion history provides a comprehensive view of their journey with your brand. By including fields for their first, last, and most recent conversions, your model can identify patterns in behavior that lead to successful outcomes. This data helps in understanding how leads progress through your sales funnel and can be used to predict future behavior more accurately.

First Conversion: This indicates when a lead first showed significant interest in your offerings.

Last Conversion: The most recent conversion can show if the lead is still actively engaged.

Recent Conversions: A pattern of recent conversions may indicate a lead is getting closer to a purchase decision.

Now, before we jump in, lets keep in mind: Every business is as unique as a fingerprint. Your perfect lead score model might will and should be different from the next company. The fields we explored above aren't a one-size-fits-all solution

Remember, the key to a successful predictive lead scoring model is continuous refinement. Regularly review the performance of your model and be prepared to adjust the weights of these fields or incorporate new data points as your understanding of your leads' behavior evolves.

By leveraging these crucial CRM fields, you'll be well on your way to creating a more precise and actionable predictive lead scoring model, ultimately driving more efficient sales processes and higher conversion rates for your business.

Ready to accelerate your GTM motions with AI-powered predictions?
Discover how you can identify every high-potential prospect & at-risk customer (without technical skills).

Latest posts

🔥New! Self-learning models – Your scoring models become smarter every day. Talk to an expert!