🟒 How predictive and prescriptive analytics work Flashcards

(9 cards)

1
Q

What are the two types of analytics that help understand future outcomes and recommend actions?

A
  • Predictive analytics
  • Prescriptive analytics

These analytics help in forecasting future behaviors and suggesting actions to achieve desired outcomes.

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2
Q

Define predictive analytics.

A

Using historical data and AI algorithms to forecast future outcomes and behaviors

A classic example is churn prediction in subscription businesses.

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3
Q

What is a common application of predictive analytics in subscription businesses?

A
  • Churn prediction
  • Product recommendations

These applications analyze user behavior to identify risks and suggest products.

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4
Q

What does prescriptive analytics do?

A

Recommends actions to achieve a desired outcome or mitigate risk

It goes beyond prediction to suggest specific actions based on forecasts.

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5
Q

If predictive analytics indicates a customer is likely to churn, what might prescriptive analytics suggest?

A
  • Offer a 20% discount
  • Enroll in a personalized onboarding sequence

These actions aim to retain the customer and enhance their experience.

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6
Q

In e-commerce, what might prescriptive analytics recommend if high demand for a product is forecasted?

A
  • Adjust inventory levels
  • Increase ad spend

These recommendations help businesses respond proactively to market demands.

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7
Q

What types of tools can provide predictive and prescriptive analytics?

A
  • CRM features
  • Marketing automation platforms
  • AI and machine learning platforms

Many of these tools include AI-powered predictive lead scoring.

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8
Q

True or false: Predictive analytics only helps in understanding past data.

A

FALSE

Predictive analytics forecasts future outcomes based on historical data.

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9
Q

Fill in the blank: Predictive analytics is often used for _______ prediction in subscription businesses.

A

churn

This helps businesses identify customers at risk of canceling their subscriptions.

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