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In the B2B industry, lead scoring is a ranking system used by sales and marketing departments to quantify the likelihood that a potential customer will make a purchase. Continued…
Quote of the Day
“Adding artificial intelligence to lead scoring can help companies increase sales by better prioritizing customers and aligning sales messaging and resources with clients.” – George Lawton
Where AI meets sales: The benefits of predictive lead scoring
Predictive lead scoring can help companies better prioritize customers, align messaging and determine ways to guide a sales strategy.
Predictive lead scoring among new Sales Cloud features
Predictive lead scoring in Salesforce Einstein will mine customers’ web history and interactions to continuously determine their engagement level.
AI integration with CRM tools boosts lead scoring processes
As AI technologies continue to build steam, AI integrations with CRM platforms are helping sales teams reap the benefits with predictive lead scoring.
Lead-scoring models to generate better sales information
Lead-scoring models help sales comb through data to generate better, more qualified and more mature leads.
If you need to close more deals, consider predictive lead scoring
With predictive lead scoring, companies can make sales cycles more productive and identify the most promising prospects, converting them into customers in less time.
Writing for BusinessNeither the CEO nor the CIO _____ contributing to their company’s B2B blog.