Lead scoring is a crucial process for SaaS (Software as a Service) product organizations to prioritize and qualify potential customers based on their likelihood to convert and become paying users. There are common lead scoring techniques used across all industries, but in this article, we focus on lead scoring concepts that are particularly relevant to SaaS product organizations. In our experience consulting for many SaaS organizations, there are unique attributes and engagement behaviors that are especially important and unique for SaaS.
Perhaps the most important measure is how the potential customer is actually engaging with your product or service. Some important attributes include:
There are certain usage statistics that can indicate a high probability of a product purchase. In a recent study, researchers found that the likelihood of a trial consumer making a purchase can be measured based on a few key numbers. While the exact numbers may vary depending on factors such as the product, target market, and pricing model, here are some general indicators of a higher probability of purchase:
Keep in mind that these numbers are not set in stone and can vary depending on different factors. However, understanding these general indicators can help businesses assess the potential conversion rates of trial users and refine their marketing strategies accordingly.
Some key metrics that we typically use as a guide are:
Customer fit is all about making sure that a product or service perfectly aligns with the needs of a particular customer segment. It's like finding the perfect puzzle piece that fits perfectly into a bigger picture, ensuring maximum satisfaction for both the customer and the company.
On the other hand, product fit focuses on meeting the unique needs of individual customers. It's about going beyond a one-size-fits-all approach and customizing the product or service to meet their specific requirements.
This element is dynamic and evolves over time. In essence, it is reviewing the initial ideal customer profile, making adjustments based on interactions that are similar to the ones that profiled customers have had with your product or service, and refining the original target criteria accordingly.
Some characteristics to consider:
In summary, the above additions to lead scoring programs should be considered for SaaS products to ensure that the leads with the highest potential are prioritized and are converted faster.
Regularly review and refinement of your lead scoring model based on the performance and conversion data of your leads. This iterative approach ensures that your lead scoring techniques remain effective and aligned with your SaaS product organization's goals.
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