Lead scoring models were put in place to prioritize leads for follow-up, nurture and marketing investment. However, with an abundance of data from disparate sources, traditional lead scoring has a host of limitations. In today’s competitive landscape, organizations needs to embrace more advanced and reliable scoring models to succeed.
Learn four reasons why traditional lead scoring is not adequate, and why scoring with artificial intelligence is necessary:
- Lack of accurate data available
- Mismatched or outdated lead and company data
- Guesswork-based scoring models
- Irrelevant data points used in scoring
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