Free report: How to avoid the summer slump

Download now for data driven strategies to beat the summer blues

Download now

Why predictive lead scoring promises to deliver

Lily Ruaah

Posted on: July 25, 2022

Reading Time: 4 minutes

Category: Prospecting

Why predictive lead scoring promises to deliver

blogpost image

Anything that takes the guess work out of prospecting has to be a good thing, right?

At Sopro, we’re ceaselessly exploring new tech that can make our deliverability more certain and our targeting more accurate. 

This is why we’re so excited about predictive lead scoring.

Here’s what it promises to do:

👉 Predict with greater accuracy than ever before which leads we should be jumping on and which we should be holding off.

New technologies mean that businesses no longer have to guess which leads are worth pursuing and which leads have turned cold. It’s the Derren Brown of prospecting. Find out who will want to buy from you before they even know themselves! Well, maybe not that soon – but certainly sooner than your competitors. 

We’re going to talk about two kinds of lead scoring processes:

  1. Traditional lead scoring
  2. Predictive lead scoring

Each can transform your business’s marketing and sales systems from the inside out.

Traditional lead scoring

Lead scoring is nothing new in itself: it’s the way that we can now do it that’s new.

Lead scoring is simply a systematic way to rank your leads according to where they are in your sales funnel aka how ready they are to buy. 

This score will be determined by implicit and explicit factors such as demographics, firmographics and behavioural clues.

Knowing how your leads compare is key to understanding who you should be prospecting to and when.

Explicit vs Implicit data

Explicit data could be collected from:

  • Online registration forms 
  • Other demographic and firmographic information such as job title, company and industry

Implicit data can come from:

  • The prospect’s behaviour on your website 
  • The prospect’s engagement with other marketing channels

Here’s what’s wrong with our current scoring methods:

  1. Traditional lead scoring has – by and large – proved to be more effective in identifying poor leads than those with the most potential. And, it is those with potential that is where the real money is at.
  2. It also harvests its data manually and is based on a small dataset, which makes it less accurate when faced with our fast-changing markets.
  3. Its ranking factors are heavily biased toward a prospect’s interaction with you rather than an objective assessment of their needs.

Lead scoring + machine learning = predictive lead scoring

Predictive lead scoring adds in machine learning to the algorithms used to score leads. It represents the automation of the scoring process.

Instead of relying on small datasets and humans collecting data, predictive lead scoring gathers and analyses many sources of data to evaluate the behaviour of prospective leads. These data points are then ranked on a scale that pinpoints those who are more likely to purchase something from your business.

Here’s where it wins hands down against its traditional counterpart:

  1. It produces meaningful metrics that are based on samples from large and varied datasets
  2. Reacts rapidly to changes in the market
  3. Continually compares past and current customers and your active leads to adjust the profiles it uses to assess its scoring
  4. Identifies patterns and connections you might have missed trying to analyse a wide set of data points

Such an approach, of course, assumes some investment in tech. Predictive lead scoring is premised on the quality of the data you hold – and you will need to use external data sources to gain the high volumes required.

You will also need the necessary technology to crunch, analyse and manage this.

What’s next?

There are many ways that you can immediately get to work on your current lead scoring model without calling in the big guns of martech.

Tweaks and improvements to your lead scoring can deliver immense value in making your sales process more efficient and increasing your conversion rate.

We’re really excited the role prospecting can play in predictive lead scoring. Sopro helps you build a pipeline of high quality leads by sourcing a live audience of your ideal customers. When they reply wanting to know more about your business, it’s a clear sign of intent and interest.

Prospecting ranks highly on the lead prediction charts. No crystal ball required.

Want to know more about successful lead scoring? Check out our blog on lead scoring best practices.

Sell more.

Related articles

c2
19th Jul

Sell even more with three new Sopro features

Kit Smith

Website plugin, Webcatcher and Leadbooster added to the Sopro client portal Sell even more with your Sopro campaign, using three …

Business News Prospecting
c2
15th Jun

The beginner’s guide to account-based prospecting

Kit Smith

Account-based prospecting can supercharge your B2B sales strategy to devastating effect. Like Mario chomping on a mushroom or Peter Parker …

B2B Marketing B2B Sales Prospecting
c2
1st Jun

B2B Facebook prospecting: Cut your social CPL in half

Craig Mathewson

It won’t surprise you that our B2B marketing eggs are firmly in the email prospecting basket. The research shows email …

Prospecting Social media