The book 'How To: $10M' by William has received a mix of reviews from readers. Many praise it as a comprehensive, step-by-step guide for building a successful online education business. Readers appreciate the practical advice, clear writing, and valuable insights that can help both beginners and experienced entrepreneurs. However, some critiques highlight the presence of vague content and the author's self-promotion, questioning the originality of ideas presented. Despite some negative remarks regarding outdated strategies and potential authenticity doubts, the overall sentiment leans towards recommending the book for its actionable insights and real-world experiences shared by the author. This book is considered a valuable resource for anyone looking to monetize their expertise online.
Source: Amazon Product Reviews of How To: $10M: Sell Your Knowledge AndStarting from $18, you can purchase the complete report, offering advanced filters, buyer personas, and SWOT analysis, with Excel, PDF and PowerPoint exports.
Unveil insights from 'How To: $10M' feedback analysis for building a thriving online education business.
Very insightful and helpful book!
Good read, had some good ideas.
A must read for anyone looking to make money online
Very compelling and valuable knowledge from the author. One of the best book buys I have ever made.
Great book. Really enjoyed it. Practical and straight to the point.
I will recommend it for anyone who wants to start online business. Easy to read.
Have the complete report in your inbox with Excel, PDF and PowerPoint attachments. Need to play with the data? Enjoy our lightning-fast dashboard for further analysis.
One-time purchase without hidden or recurring costs!See the similar customer feedback reports based on reviews from Amazon and many other platforms.
Collect and centralize feedback.
Make sense of large-scale feedback.
Turn data into meaningful insights.
Find out how Kimola can improve your feedback analysis process.
Uncover customer needs, likes, and dislikes from product reviews and feedback.
Analyze customer reviews and ratings to optimize online shopping experiences.
Extract insights from social media conversations and online discussions.
Make sense of free-text survey responses with AI-powered analysis.
Understand customer sentiment and concerns from chat and call transcripts.
Identify workplace trends and employee sentiment from internal feedback and reviews.
This page displays purchase options and a preview of the customer feedback analysis report for How To: $10M: Sell Your Knowledge And Make Millions Paperback – April 24, 2024 based on online reviews collected from Amazon. The analysis helps Online Educators, Digital Entrepreneurs, Content Creators, Marketing Strategists, Business Coaches to discover insights into what people love, dislike, and need.
This report contains qualitative analysis with Net Promoter Score, Sentiment Analysis, content classification, most popular phrases, languages and a trend graph to display how the context changes over time. After purchasing the report, you can search in customer feedback and filter results based on classification labels and popular phrases. Also, the analysis is available in PDF and PowerPoint formats, and all the reviews are available in Excel.
Yes, this page is publicly available for everyone on the internet to see. You can copy and share this link with a friend, college or on social media.
Yes, you can, and this is the fun part about Kimola! Kimola turns customer feedback into market research by analyzing online reviews from various sources.
Yes, you can have this research report analyzed with more reviews. The page you are viewing displays a limited preview with the analysis of 30 recent reviews. Starting from $18, you can buy the complete version of this research report containing all reviews. Click here to see the purchase options.
We would like to clarify that this product is not created by Amazon and is not associated with or supported by Amazon in any way.
As a user of this web scraping tool, you are solely responsible for complying with all applicable laws and adhering to Amazon's terms of use, including copyright regulations, when utilizing the extracted review data.