Artificial intelligence (AI) has transformed how companies conduct business, with a wide range of intelligent solutions that save time and push productivity ever higher. When it comes to AI for sales and marketing, things have changed so much that “transformed” might be an understatement.
What Can Artificial Intelligence In Sales Do?
In a 2017 McKinsey and Company study, it was estimated by 2020 that 85% of sales-related tasks could be automated. AI and machine learning are making that increasingly possible.
From analyzing and transcribing sales calls to scheduling meetings, assisting with email writing and tracking sales activity, artificial intelligence can help streamline all sorts of routine tasks that marketers and salespeople used to do manually. But that’s just the beginning. The power of AI can be used to solve more complex problems – problems that no person or persons could ever do on their own. Most notably, it can mine massive amounts of data to unearth new insights about prospects and customers – insights that help businesses market and sell more far effectively.
That’s where Infer’s predictive software comes in. Infer leverages AI and machine learning to reinvent the process of lead qualification and scoring, turning it from haphazard guesswork to an exacting data-driven science.
AI-Driven Sales
In theory, lead qualification and scoring helps sales teams prioritize their efforts, zeroing in on the best leads and discarding the worst. In practice, the process hasn’t always worked so well. Marketing-qualified leads (MQLs) and lead scores have been based on little more than hunches and assumptions using a small number of behavioral clues. The results are anything but reliable.
The problem isn’t a lack of information; there’s a motherlode of potentially useful data captured in businesses’ own systems and in third-party databases. The problem is analyzing all that information – hundreds or thousands of data points, in millions of different combinations. Exploring those myriad connections and spotting the patterns that signal readiness to buy is beyond the reach of our ordinary brains. Mere humans can’t do it. But Infer’s AI-powered predictive software can – with uncanny accuracy.
Predictive Lead Scoring
Using AI and machine learning, Infer automatically generates lead scores that really work: They really do predict prospects’ likelihood to buy. The scores are statistically proven to be accurate, indicating exactly which leads are ready for a sales call, which ones need more nurturing and which ones aren’t worth pursuing. That’s the kind of certainty marketing and sales teams have always wanted but never had. It’s exactly what they need to make informed decisions, allocate resources effectively and close more deals faster.
What Can Artificial Intelligence In Sales Do?
In a 2017 McKinsey and Company study, it was estimated by 2020 that 85% of sales-related tasks could be automated. AI and machine learning are making that increasingly possible.
From analyzing and transcribing sales calls to scheduling meetings, assisting with email writing and tracking sales activity, artificial intelligence can help streamline all sorts of routine tasks that marketers and salespeople used to do manually. But that’s just the beginning. The power of AI can be used to solve more complex problems – problems that no person or persons could ever do on their own. Most notably, it can mine massive amounts of data to unearth new insights about prospects and customers – insights that help businesses market and sell more far effectively.
That’s where Infer’s predictive software comes in. Infer leverages AI and machine learning to reinvent the process of lead qualification and scoring, turning it from haphazard guesswork to an exacting data-driven science.
AI-Driven Sales
In theory, lead qualification and scoring helps sales teams prioritize their efforts, zeroing in on the best leads and discarding the worst. In practice, the process hasn’t always worked so well. Marketing-qualified leads (MQLs) and lead scores have been based on little more than hunches and assumptions using a small number of behavioral clues. The results are anything but reliable.
The problem isn’t a lack of information; there’s a motherlode of potentially useful data captured in businesses’ own systems and in third-party databases. The problem is analyzing all that information – hundreds or thousands of data points, in millions of different combinations. Exploring those myriad connections and spotting the patterns that signal readiness to buy is beyond the reach of our ordinary brains. Mere humans can’t do it. But Infer’s AI-powered predictive software can – with uncanny accuracy.
Predictive Lead Scoring
Using AI and machine learning, Infer automatically generates lead scores that really work: They really do predict prospects’ likelihood to buy. The scores are statistically proven to be accurate, indicating exactly which leads are ready for a sales call, which ones need more nurturing and which ones aren’t worth pursuing. That’s the kind of certainty marketing and sales teams have always wanted but never had. It’s exactly what they need to make informed decisions, allocate resources effectively and close more deals faster.
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