Why do generic lead scoring models fail for franchise sales?
Generic B2B lead scoring models (built for SaaS, consulting, or product sales to businesses) weight firmographic attributes like company size, industry, and tech stack, blended with behavior signals like email engagement and content downloads. A franchise prospect is an individual, not a company. The relevant attributes are personal (net worth, operator background, family alignment), the fit question is operational (can they run the business, not do they need it), and the regulatory layer (FDD disclosure, 14-day cooling-off period) imposes constraints the SaaS model never contemplates. The entire scoring schema has to be rebuilt from scratch, which generic CRMs do not ship preconfigured.