It’s amazing how long it has been since most marketers last read a customer review. They’re missing out on a goldmine of insight for figuring out why customers don’t recommend your product to their friends.
Thankfully now you don’t even have to read all your customer reviews: you can make an AI read them for you! Using GPT-3 in GSheets you can automatically extract any issues from your customer reviews and quickly spot patterns in the data...More
Have we looked at the product reviews?
We could do some sort of analysis
Extract the most common issues and see what patterns there are
Then we know what to prioritize
This course is a work of fiction. Unless otherwise indicated, all the names, characters, businesses, data, places, events and incidents in this course are either the product of the author's imagination or used in a fictitious manner. Any resemblance to actual persons, living or dead, or actual events is purely coincidental.
Product reviews are important for every marketer to read. Any customer who has taken the time to leave a positive or negative review is doing you a favor by doing your research for you. However it can be time consuming to read every review for your product. You might have hundreds or maybe even thousands of reviews, and each review could be anything from a few lines or thousands of words. Often you just want to extract the relevant information from each review and summarize any patterns you find.
This used to be a highly manual process, but now has become relatively trivial with the advent of AI models like GPT-3 from OpenAI. These large language models (LLMs) excel at lots of tasks, but in particular they can handle arbitrary classification tasks with very few examples given. Using GPT-3 in Google Sheets can make the process far simpler to get results across a wide range of inputs, and get back structured results for use later.
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