From the course: The Data Science of Retail, Sales, and Commerce
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Score leads and customers
From the course: The Data Science of Retail, Sales, and Commerce
Score leads and customers
- (Instructor) Wouldn't you like to find the people who would most benefit from your product or services? You can do that by assigning scores to your customers or to your leads, that is, your potential customers. There are several reasons you would want to use scoring in your own marketing work. Number one, of course, is better sales productivity. By finding people who are genuinely interested and prepared to purchase your product, you're more likely to get a completed sale. Similarly, you're more likely to have an increased conversion rate. People are more likely to engage with your business, they're more likely to download papers, sign up for forums, and really make that final purchase. Also, you'll have fewer opportunities lost because you'll know the ones that you need to focus on, and place less time on people who are less prepared for your product or service. All of this translates to an improved sales Return On Investment, which is the number one thing you're looking for when…
Contents
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Data fundamentals for retail, sales, and marketing4m 14s
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Explore basic data tasks4m 31s
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(Locked)
Sentiment analysis8m 42s
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(Locked)
Explore market segmentation4m 39s
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(Locked)
Score leads and customers5m 10s
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(Locked)
Recommendation engines7m 36s
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(Locked)
Dynamic pricing5m 40s
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(Locked)
Examine ethics and unintended consequences6m 39s
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(Locked)
Predict trends7m 18s
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