Discovering Persuasive Language through Observing Customer Behavior

Lead Data Scientist @ CDK
May. 16, 2017
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
Discovering Persuasive Language through Observing Customer Behavior
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Discovering Persuasive Language through Observing Customer Behavior

Editor's Notes

  1. Imagine you’d like to display a couple reviews on a car dealership’s home page. They have over 1500 reviews to pick from. Which ones should you show? They should probably be positive and recent, but what should they talk about? What tone should they use? What words should they use? CDK Global has algorithms that can help our customers know what to look for.
  2. Imagine you’d like to display a couple reviews on a car dealership’s home page. They have over 1500 reviews to pick from. Which ones should you show? They should probably be positive and recent, but what should they talk about? What tone should they use? What words should they use? CDK Global has algorithms that can help our customers know what to look for.
  3. This is a very good review.
  4. Three and four star reviews may be more credible.
  5. We omit 3 and 4 star reviews.
  6. This slide intentionally left blank. (If you do not have a page title or subtitle, leave the field as is and it will remain hidden.)
  7. This slide intentionally left blank. (If you do not have a page title or subtitle, leave the field as is and it will remain hidden.)
  8. This slide intentionally left blank. (If you do not have a page title or subtitle, leave the field as is and it will remain hidden.)
  9. Persuasive language may not be what you expect. Both sentences are highly positive and from highly positive reviews.
  10. Both are positive
  11. Both are positive
  12. Let’s see how we came to this conclusion. One on the right converted. Think I’m 6’4” and have plenty of head room vs 41 inches of interior height.
  13. Let’s see how we came to this conclusion. One on the right converted
  14. Objective: Do dealerships who have a high email close rate communicate differently than dealerships who have a low close rate? First of all, the answer is yes! We used sentiment analysis to determine if there were differences in the words used by high closing dealerships and low closing dealerships. And, we built a prototype Consumer Language Tool that helps us dive deeper into the context of those negative and positive words. We are able to determine if a response is an auto response or a person and only counted the first response from a human
  15. Selected terms
  16. Selected terms