Infer’s predictive models score and stack-rank prospective buyers on a 0-100 point scale based on their fit for a specific company’s product. For example, here is a typical distribution across an entire business:
Sometimes a model will score a certain subset of leads (e.g. leads from a specific geography, industry, product, etc.) lower than average because a company hasn’t historically focused on those types of leads. For example, prospects in EMEA might just score lower because you may have started selling to EMEA customers only recently. This can cause problems if left as-is because your sales reps (or marketers) who focus on EMEA would only see Infer C and D-Leads, giving them limited insight with which to prioritize those leads.