Preferred chatbot recommendations according to U.S. internet users 2016

Published by Statista Research Department, Dec 12, 2016
This statistic shows the most common types of recommendations that internet users in the United States would like to receive from chatbots. During the November 2016 survey period, 22 percent of respondents stated that they would like to receive product recommendations from retail stores via chatbots.

Recommendations that internet users in the United States would like to receive from chatbots as of November 2016

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Release date

December 2016

Region

United States

Survey time period

November 2016

Number of respondents

4,089 respondents

Age group

18 years and older

Method of interview

Online survey

Supplementary notes

In this study, a chatbot is defined as computer software that can interact conversationally via text messages to solve simple, quick response requests from consumers for product information and to make online purchases.

Two surveys were conducted online within the United States by Harris Poll on behalf of DigitasLBi from November 4-8, 2016 among 2,040 U.S. adults ages 18 and older and from November 18-22, 2016 among 2,049 U.S. adults ages 18 and older.

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Overview

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