Understanding ICP Match Scores in B2B SaaS Businesses

by

François Lecomte

Oct 7, 2024

Data

Data

Understanding ICP Match Scores in B2B SaaS Businesses

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Understanding ICP Match Scores in B2B SaaS Businesses

Understanding your Ideal Customer Profile (ICP) is crucial. But how do we go beyond defining an ICP to measuring how well potential leads fit into this profile? This is where the ICP match score comes into play. Let’s break down the concept, why it’s important, and how it can help drive better business decisions.

What is ICP Match Score?

At its core, the ICP match score evaluates how closely a lead or a customer aligns with your ideal customer profile. The Ideal Customer Profile (ICP) refers to a set of criteria that defines the most suitable customers for your business based on factors like company industry, size, revenue, country and also the user’s position, role or.even language.

The ICP match score quantifies this alignment. A high match score signifies that the customer is likely to derive great value from the product, while a low score indicates they may not be an ideal long-term fit.

Why Defining ICP and Tracking Match Scores Matters

ICP Match

In any B2B SaaS business, you might encounter a large amount of web traffic and sign-ups. However, not every visitor or lead is going to be a perfect fit for your product. Simply attracting a large volume of leads doesn't guarantee conversions or customer retention. Here are two major challenges that arise from poor ICP alignment:

  1. Wasting Resources on Low-Quality Leads
    When your marketing teams engage with leads that don’t align with your ICP, it’s essentially wasted effort. These leads may not fully understand or value the product’s benefits, leading to poor engagement and low conversion rates. Sending them automated emails is not only useless, but also increases the risk of being considered spam.

  2. Customer Churn
    Onboarding customers who don’t align with your ICP can lead to dissatisfaction and eventual churn. Even if these customers convert initially, they are more likely to leave due to misalignment between their needs and your offering.

  3. Product roadmap impact
    As most B2B businesses try to fit with their users’ needs, taking account of the low-quality leads’ feedback might lead the product to become less valuable for high-quality customers, or to develop features with a low added value.

How to Leverage ICP Match Scores Effectively

How to Leverage ICP Match Scores

Defining and tracking the ICP match score allows you to focus your resources on high-quality leads that are more likely to convert and stay loyal over time. Here are some steps to make the most out of your ICP scoring process:

  1. Define Clear ICP Criteria
    Work with your sales, marketing, and customer success teams to identify the key traits of your most successful customers. Be as precise as possible, and try to map them with each of your subscription plans.

  2. Implement Scoring Mechanisms
    Automate the scoring of incoming leads based on their fit with your ICP. You can weigh certain attributes more heavily depending on their importance to your business goals.

  3. Monitor and Refine Over Time
    Your ICP is not static. As your business evolves, so too will your understanding of your ideal customer. Continually refine your scoring model to stay aligned with the changing landscape of your business and market.

What Does Hyperaktiv Do?

Hyperaktiv can automatically compute your leads’ ICP match score by combining online data through multiple enrichment providers with the data that your product collects, especially onboarding/ qualification questions.

Hyperaktiv can segment your users combining the ICP match score, the engagement score, and the life cycle stage (anonymous visitor, signup or converted user), so you can focus your efforts on the leads with greatest potential.

How Does Hyperaktiv Compute the ICP Match Score?

The global ICP match score is a weighted average of each criterion's score. The score of each criterion is computed by a formula that depends on its type, and the score is always between 0% to 100%.

Because online data is most of the time not structured, it is recommended to normalize it, especially when it comes to roles, industries, and departments. Hyperaktiv automatically qualifies your leads with one normalized value.

It might also happen that your lead doesn't match your criteria exactly, but is somewhat close; in that case, Hyperaktiv will apply some fuzziness to the scoring. For example: if your ICP is "executive" and "senior management," a "middle manager" would still have a score of 50%.

Conclusion

In summary, the ICP match score is a vital metric for B2B SaaS businesses. It ensures that your team is focused on the right leads, optimizing resources, and driving long-term growth. By continuously refining and tracking this score, you position your business for success with customers that truly align with your product and value proposition.

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