Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary


How To Turn A $200 Gadget Into A Million Dollar Business

Developing a video library of customer testimonials is an important asset that can demonstrate the value of your company to potential acquirers. Follow these 3 steps to great testimonials.

A library of customer testimonials is an important asset in building a company you can sell. Getting customers on-the-record using a Flip Video camera will help you demonstrate to an acquirer that you have a real, sustainable business with customers who like what you do. Take these 3 steps for great results.

JohnWarrillow
John Warrillow

1. Get Results-Based Testimonials
In the old days testimonials were what Joe Polish, the legendary marketer behind Nightingale-Conant’s' #1 bestselling tape series for 3 years “Piranha Marketing”, calls “That-A-Boy” testimonials. Polish say “That-A-Boy” testimonials are nice but what you want is “Results Based” testimonials.

Results Based testimonials are customers providing hard numbers of how you made (or saved) them money. Polish uses Results-Based testimonials captured on a Flip Video to flog his “25K Club” product which invites information marketers to plunk down $25,000 for the chance to meet with Joe and his peers four times a year.

Joe claims his $25K members will get at least $250,000 in valuable ideas and connections in their first meeting. Sounds like snake oil but when you see credible business owners like Dean Graziosi the real estate guy or Tim Ferriss the Four Hour Work Week Guy or Harv Eker the author of “Secrets of The Millionaire Mind” describe their results working with Joe, you start to think he just might be for real.

2. Capture Your “Social Proof”
Polish calls testimonials “social proof” and a Flip Video camera allows you to capture video and upload it quickly and easily to YouTube. Joe takes his Flip Video everywhere he goes and by chance, power networking and plain dumb luck he has captured video of himself with Richard Branson, Paula Abdul & Tim Ferriss.

3. Ugly Works
In a world of reality TV and grainy YouTube footage, Joe believes the more authentic your video, the better. So don’t worry about the pregnant pauses and dead air, Joe says leave it all in if you want a credible piece of social proof.'I took Joe’s advice and prepared an “ugly” video on why I wrote my new book "Built To Sell: Turn Your Business Into One You Can Sell."


Don't Miss:


John Warrillow is an entrepreneur, author, and speaker. Throughout his career, John has started and exited four companies. Most recently he transformed Warrillow & Co. from a boutique consultancy specializing in studying and reporting on the small business market into a recurring revenue model subscription business, which he sold in 2008 to Corporate Executive Board. Warrillow is the author of "Built To Sell: Turn Your Business Into One You Can Sell".


Follow InformationWeek SMB on Twitter @http://twitter.com/infoweeksmb
Get InformationWeek SMB on your mobile device @http://mobile.bmighty.com



Related Links

Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.