AI Case Study

Wunder2, a British cosmetic brand startup analysed 500,000 customer Facebook posts with natural language processing capabilities to better understand customer sentiment and concerns

Wunder2, a British cosmetic brand startup, has used IBM Watson natural language processing capabilities to analyse 500,000 customer Facebook posts. This has allowed them to understand customer questions, concerns and sentiment. Having this level of insight allows for better customer engagement.

Industry

Consumer Goods And Services

Personal And Household Goods

Project Overview

"Wunder2 has been utilizing technology from IBM Watson to do analysis on 500,000 Customer FB posts and comments to identify sentiment, allowing them to categorize posts and comments. This has given them large scale data to help understand typical concerns, questions, sources and instances of negativity and build strategies to address and pre-empt them where possible."

Reported Results

They claim they can better "...understand typical concerns, questions, sources and instances of negativity and build strategies to address and pre-empt them where possible."

Technology

IBM Watson based natural language processing capabilities to categorise topics and determine customer sentime.

Function

Marketing

Marketing Research Planning

Background

Wunder2 is a UK based cosmetic brand start-up. They are known for "having produced the Internet’s most viral brow product." Understanding customer sentiment is key to their products and marketing.

Benefits

Data

500,000 customer Facebook posts.