Lead Scoring

Lead Scoring

Criteria for implementing
a lead scoring strategy

Criteria for implementing a lead scoring strategy

For any business, establishing an inbound marketing strategy essentially stems from the need to attract as many leads as possible into the sales funnel. This is primarily achieved through the distribution of relevant and, above all, engaging content. Once this objective is met, it becomes even more crucial to distinguish between leads already ready to purchase your product and those still in the research and comparison phase . This is where lead scoring comes in.

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How do we define lead scoring?

Lead scoring is generally defined as a marketing process that assigns a quantitative value to each of a company's leads: a point, or at least a score. In other words, it's a lead scoring system, but how is this possible? It's based on various criteria, such as the prospect's professional data and, above all, their online behavior with the company. It's a comprehensive system that helps marketers and salespeople manage prospects , particularly by enabling them to respond effectively to their needs and convert them into qualified leads.

Several lead scoring marketing strategies are implemented by online retailers, but the most well-known is this one, which uses information from existing customers to establish a prospect scoring system. The principle is to identify common characteristics among these existing customers and then isolate them for new leads. This allows you to clearly determine which attributes to prioritize in your inbound marketing conversion process.

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What are the criteria for lead scoring?

As previously stated, lead scoring is based on specific criteria related to the main "buyer persona" profile established by the company. These criteria essentially revolve around the information you collect from leads. These include:

  • Company information (B2B marketing);
  • The prospect's demographic data;
  • The lead's online attitude;
  • His commitment via email;
  • The interest the lead shows in the company on social media;
  • Spam detection.

For a score between 0 and 100, each of these criteria must guarantee an irrefutable probability of purchase by the prospect.

Socio-demographic data

When we talk about socio-demographic data, we're mainly referring to a person's age, gender, region, occupation, and marital status. In our case, it's information about your leads that you collect through the various forms on your website. While this information allows you to define your target audience and personalize your sales marketing campaign, its primary purpose should be to segment your CRM database.

Assuming each of your products is geared towards a specific demographic segment, it's even more important to disqualify any prospect who doesn't fit that target profile with a negative score. Conversely, if the information gathered on a lead matches, mark them with positive points. You can even award extra points to prospects who complete optional form fields.

Firmographic data

If your sales activity is categorized as B2B marketing, your target market is almost certainly a company like yours. Firmographic data can then be considered the equivalent of socio-demographic data in B2C marketing. To qualify your target market as potential customers and to help you with your lead scoring process, you can include questions in your forms that collect as much information as possible. This includes questions about company size, type of business, revenue, location, and so on. This will allow you to award points to leads that match your target market and eliminate those that don't.

The behavior of online lead scoring

It has been proven time and again that a prospect's behavior on a website is highly significant in influencing their purchasing decision. Therefore, it would be ideal to study the behavioral history of former prospects who have become customers—that is, how they interacted with the various content on the site. For example, which offers interested them, which ones they downloaded, the type and number of pages they visited, and the types of forms they filled out. All of this information can be used for lead scoring. It would indeed be wise to award more points to prospects who visit high-yield pages and forms (pricing page, demo request, etc.). Similarly, it would be beneficial to differentiate between leads who visit your website 15 times and others who visit only 5 times.

However, if a lead ceases all activity on your platform for a period of time, you should consider deducting points. This behavior could be defined as a sudden disinterest in your company on the part of the prospect.

The benefits of lead scoring for your business through email

Just like your content, email is a crucial element of your inbound marketing strategy, and the interest your leads show in it is significant. However, simply subscribing to your newsletter isn't enough to convince a lead to make a purchase. Their intentions become clearer when their email open and click-through rates are used. Knowing who opens and reads the content of each email and then clicks on the offer links should make it easier for your sales team to identify qualified leads. They certainly won't waste time on dead-end lead nurturing efforts. This engagement is therefore a valid reason to assign a positive rating to prospects.

The role of lead scoring in relation to your social media strategy

If a lead regularly likes and shares your tweets and Facebook posts, it means they genuinely care about your brand on social media. This is clearly a significant level of engagement with your business. Quantitative metrics (number of positive reactions from the prospect, shares, comments, etc.) are particularly useful indicators for lead scoring. The score will be significantly higher for a qualified lead who also has a strong social media presence. They could even become a brand ambassador later on.

Lead scoring in the spam category

To top it all off, be wary of leads classified as "spam." It's baffling how this is even possible. There are indeed prospects to whom you should systematically assign a negative score. Those whose form responses don't conform to established conventions are a prime example. This includes prospect names without capital letters, company names, or other fields containing a sequence of at least four letters in an AZERTY keyboard layout.

Newly registered email addresses should also be compared to those of your customers. For example, if your inbound strategy targets a business as a prospect, you would naturally expect a professional address like ex ***** @ ******** se.com . However, when you encounter Gmail and Yahoo addresses, simply reduce the score relative to the others.

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How to identify the data that is most suitable for your lead nurturing marketing strategy?

Given the large amount of information you're collecting, the question remains: how do you assess its relevance to your inbound marketing? The best approach would likely be to consult your sales team, talk to your customers, or rely on analytics reports. 

 

Ideally, the solution would be to combine these three options. This would give you all the necessary data to better understand each lead's philosophy, from the content to the offers they find appealing.

Consult the existing sales team

Depending on your inbound marketing strategy, your sales agents—that is, your sales team—are the ones in direct contact with prospects, whether they become customers or not. They are therefore best positioned to see the results of your inbound marketing. As such, they can provide you with precise information on the type of marketing content to implement to facilitate your lead scoring.

In addition to the type of content or the type of offers likely to interest prospects, salespeople are able to inform you about the number of points to assign to each type of content.

Talking with clients

While your sales agents are quite knowledgeable about the types of content that convert leads, customer feedback would also be invaluable. Having experienced the sales process firsthand, their perspective is all the more precious. You might even see a difference in their insights compared to those provided by your sales agents.

Consider the data analysis reports

To support the information gathered so far from customers and sales representatives, you can rely on attribution reports from marketing analytics. These reports, thanks to marketing tools like HubSpot CRM software, allow you to see precisely which actions generate the most conversions during the sales cycle. It's important to remember that the content you distribute, even if relevant, isn't the only element to consider in your lead scoring process.

 

These reports can provide you with much more than just the kind of relevant content, such as the most viewed pages.

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How to determine prospect scores

There are several marketing methods dedicated to calculating lead scores, but if you're just starting out with lead scoring, it's best to rely on the simplest one. Since this method is essentially done step by step based on other factors, we invite you to proceed as follows.

Calculate the percentage of leads that convert into customers

Having its place primarily in the reference for lead marketing, this rate represents the quotient of the total number of new customers by the total number of prospects generated.

Choose the attributes related to your qualified lead profile

As previously mentioned, you will need to evaluate your prospects based on attributes you consider subjectively relevant to the expected sales outcome. Therefore, you should select these elements based on information gathered from your sales team, your clients, or marketing analytics results.

Calculate the individual completion rate for each chosen attribute

Especially since it influences your inbound marketing efforts, it's absolutely essential to calculate the individual conversion rate for the selected and identified attributes of each lead. Start by evaluating the number of prospects who become qualified leads and then customers based on the highlighted elements.

Compare the previous result to your overall completion percentage and then allocate points accordingly

The goal is to find attributes whose individual closing rate is significantly higher than your overall closing rate and then award points to them. While the values ​​will be chosen arbitrarily, ensure there is some consistency. For example, if an attribute has a closing rate of 40% compared to your overall rate of 15%, you could award 25 points to each lead demonstrating that attribute.

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More lead scoring methods

Besides the basic lead scoring marketing method previously highlighted, there are others that rely on a more in-depth analysis of data. These include logistic regression and predictive scoring.

Logistic regression in marketing

Because marketing data mining methods are more complex, they require you to use Excel spreadsheets. Logistic regression involves creating a formula (solution) to accurately determine the likelihood of a lead converting into a customer. By taking into account all possible attribution factors, this method has the advantage of presenting actual conversion rates in a much more intuitive way.

The projected lead scoring

The advantages of implementing a lead scoring system are undeniable, although a slight problem remains. Until now, we've used a manual approach to our lead scoring system. This becomes quite burdensome for marketing management over time, as it's a recurring, one-off task.

The simplest solution would then be to entrust this task to a sophisticated CRM software, such as Magileads. This is where lead scoring comes in. A fully automated system that saves you time and increases efficiency. Magileads is a CRM software that handles all lead scoring management functions on its own, allowing your sales agents to focus solely on leads likely to become customers.

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Criteria for implementing a lead scoring strategy

Expert references and credible studies on lead scoring

Recognized experts in lead scoring

  • David Raab (Founder of Raab Associates): “Lead scoring must combine explicit data and implicit behavior for optimal prediction” ( Interview on MarTech )

  • Trish Bertuzzi (Author of “The Sales Development Playbook”): “ lead scoring results in a loss of 30% of sales opportunities” ( LinkedIn article )

  • Sammy Shreibati (Head of Growth at Gong.io): “AI now enables dynamic scoring adjusted in real time” ( RevOps Podcast )

Lead Scoring Case Studies

  • Adobe : 27% increase in conversion rate after revision of scoring criteria ( Adobe Digital Insights study )

  • Forrester : 68% of B2B companies using lead scoring see their marketing ROI increase ( 2024 Report )

Direct testimonies

  1. Marie Dupont, CMO at ScaleUp Tech:
    “By integrating webinar engagement into our scoring, we identified 40% more qualified leads in 3 months.”

  2. Ahmed Khan, Sales Manager at SaaSFactory:
    “Page-based scoring has reduced our qualification time by 65%.”

  3. Sophie Lambert, Founder of MarketLead:
    “Adding company size criteria boosted our conversion rate by 22%.”

  4. Thomas Ruiz, Growth Hacker:
    “Our predictive model combines 12 criteria with varying weights – result: +35% sales.”

  5. Elodie Martin, VP B2B Marketing:
    “Behavioral scoring has allowed us to eliminate 50% of false positives in our pipeline.”

Stories and anecdotes about lead scoring

The scoring error that cost $1M:
A scale-up ignored early warning signs (repeated downloads of documentation) and missed out on a key account that signed with a competitor.

The case of the dormant lead scoring who became a premium customer:
A contact rated “cold” for 8 months turned out to be a decision-maker after a change of position – saved by an automatic rescoring.

The unexpected impact of visits to the “careers” page:
A company discovered that leads consulting their job offers were 3x more likely to convert.

The startup that automated too much:
An overly rigid scoring algorithm eliminated 70% of good leads before a human even saw them.

The turning point of emotional lead scoring
: NLP analysis of emails enabled a company to identify the hidden frustration of leads ready to buy.

Segmentation of approaches

Type of CompanyKey CriteriaRecommended Tools
TPEContact frequency, Intent dataHubSpot, Mailchimp
SMEsContent commitment, FitPardot, ActiveCampaign
ETICRM data, TechnographicsMarketo, Salesforce CDP
Tech StartupProduct usage, API callsIntercom, Clearbit

Diagram: Ideal lead scoring process

 
 
[Data Collection] → [Criteria Weighting] → [Lead Scoring] → [Segmentation] → [Action]  

Questions and Answers about Lead Scoring

How to determine the right scoring criteria?
Analyze the common characteristics of your existing customers and test different models with cohorts.

Should demographic data be included?
Only if correlated with conversion – age matters less than role in 80% of B2B cases.

How often should the model be reviewed?
Quarterly at a minimum, or after any significant change in supply or the market.

How to manage false positives?
Add negative criteria (e.g., visits to the “careers” page) and minimum thresholds.

Should the scoring be the same for all channels?
No – a lead from a webinar may have a different threshold than an organic lead.

Can we do without dedicated tools?
Possible for <100 leads/month, but automation becomes crucial beyond that.

How to involve sales teams?
Train them to interpret scores and gather their feedback on lead quality.

 

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