Thursday, August 6, 2015

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Looking to sell statistical products on Amazon? Do it in Five Steps, using three tips and two blogs.





Statistical products that are required by the client can vary according to project specifications. It is thus important to have a product delivery service that is comprehensive, flexible and cost effective according to circumstances. The steps involved in acquiring the service are not always straight-forward or clear cut, thus leading to frustration.
Most of the time, this frustration makes sense. Statistical products are demanded by clients in a variety of locations at a variety of frequencies for a variety of media according to circumstances. This in turn may lead to difficulties in delivering the product according to specifications in a cost-efficient manner; there are lots of product delivery services that leave you wondering who designed them – and then you see them applied randomly in someone’s business process, you wince a little inside.

But really, choosing an appropriate platform to sell your statistical products is really not that bad if you make the choice in the right way. 


There are good online selling platforms like Amazon, eBay or Etsy which take out some of the (infrastructure) design or outsourced selling you might need to build up your budget. And they can be pretty quick statistical product selling platform solutions in a pinch. Unfortunately, most posts aren’t talking about how to properly choose the best statistical product selling platform for your business…so I decided to give some pointers. Flip through the SlideShare presentation I created to outline a few do’s and don’ts for selling statistical products on Amazon.


The main aim of this post is to show you how to sell statistical products on Amazon. The process involves three important business activities for a statistical business, namely, selling products on Amazon, optimizing your business process using the Amazon platform, and increasing your business product offering.

The aim of the post is to show you a simple way of doing this and to also point you to a treasure of educational materials. I affectionately named the method "My five steps, three tips and two blogs".


1. Five Steps

The post is a reformulation of materials from the "Selling on Amazon" post on the Kabbage.com Team blog posted on February 27, 2013.

Register with Amazon (or use existing account). The registration process can be supplemented with other Tutorial and blog material available from Kabbage.com. The Five Steps refers to my five step guide to selling statistical products on the Amazon platform.


These are:


Step One: Registration and Selling 


Register with Amazon (or use existing account). The registration process can be supplemented with other Tutorial and blog material available from Kabbage.com. The selling process through the Amazon platform is shown in the Amazon website(Sell on Amazon section).


Step Two: Check the Private labeling of your products


Sign up for the Fulfilled By Amazon (FBA) Program.


Step Three: Obtain approval for all your statistical products in the approval product categories for Amazon


The Amazon product categories include Videos, DVD, music, Books, Industrial and Scientific, and all other categories, according to your brand custom.


Step Four: Optimize your business process with Amazon


Tutorial and blog materials are available from Kabbage.com, INFOGENCER SlideShareMacSweeney Course Notes, "Business Process Optimisation- Top Five Tips" post on April 23, 2015 by Marcus Hill, Production Manager in the FileStream blog.
  

Step Five: Increase your product offering using Amazon


Tutorial and blog materials are available from Kabbage.com.
    
Ready to Try? Try Now.

2. Three tips


In addition to the Five Steps I also give three tips for selling statistical products on the Amazon platform (Three tips). These are:
  

Tip One:  It is a good idea to sign up for the Amazon Kindle 30 day trial subscription for an assessment of Kindle Market related opportunities.


Essentially the aim of the first tip is to assist product selling decisions by also facilitating the consideration of a cost-effective and fast mode of statistical product distribution available to the  customer. The tip would not really apply when the kindle book option is not a viable option for selling statistical products to the customer group. The second and third tips would still apply.  I would also recommend visiting the R-blogosphere, and Hubspot for blogging materials. In the R-blogosphere June 2015 posts, I would recommend the guest post "Setting R-studio server using Amazon Web Services (AWS) - a step by step (screenshots) tutorial" by Liad Shekel.

Tip Two: Spread the word using social media channels like Facebook, LinkedIn, Twitter, Google+, YouTube and others (like for example, your blog) 


The aim of the second tip is to raise awareness about your statistical products. I would also recommend visiting the R-blogosphre and Hubspot for blogging material.



Tip Three: Also add your products on other platforms like eBay or Etsy. If possible also consider using capital injection options from the services of companies like Kabbage.com.


The aim of this tip is to increase the product offering of your business and to also follow the Kabbage Team recommendation of "Don't Put All of Your Eggs in One e-Commerce Basket" from the "Selling on Amazon" post by the Kabbage Team blog on February 27, 2013. The method is also a growth platform for your business's distribution technology and sales.

Ready to Try? Try Now. 


3. Two blogs


The two blogs are the technological treasures of my method. The Two blogs refers to the R-bloggers and the SAS.blogs as a start. In general, however, the tip includes the blogging communities (subscribed blogs, bloggers, and naturally everyone associated with the blogs). In my opinion the two statistical blogging communities have been providing or have traditionally provided insights into the most exciting technological problems of cutting edge statistical research in the globe. The communities are thus the two treasures of my method for your statistical business.

 

Blog One (R-bloggers)


In this blog my favorite topic is Hadoop. My favorite course is "Big Data and Analytics Training" by Simplilearn. In reality all R training courses from R-bloggers are my favorite course. In the R-bloggers content hub there are two sections, namely, top three posts in last two days and nine best articles in the last week.


My favorite article was: “But I Don’t Want to be a Statistician!” by Joel Cadwell on July 29, 2015 from R-blogger feeds from his Engaging Market Research blog. In reality, all R-bloggers posts are my favorite post and all R-bloggers post articles are my favorite post article.   


My favorite post article was, Davenport, T.H., and D.J. Patil (2012) Data Scientist: The sexiest Job of the 21st Century. Harvard Business ReviewThomas H. Davenport is a Professor in Babson College. I especially enjoyed his video “Big Data Analytics Defined”. I also enjoyed the post  “What I’ll be presenting at O’Reilly Money Tech 2009” on October, 21, 2008 by mike on R-bloggers from his Dataspora blog. Very good presentation material was posted by Andrie de Vries on July 1, 2015 with the post article “News from UseR!2015 – the RHadoop tutorial.” from the Revolutions blog contribution to R-bloggers.


Blog Two (SAS.blogs)


In this blog my favorite topic is Hadoop. Favorite post "Hadoop is not Beetlejuice" posted by Jim Harris in April 10, 2015. All SAS.blogs posts are my favorite post. Jim Harris is the Obsessive-Compulsive Data Quality (OCDQ) Blogger-in-Chief and a freelance writer, professional speaker, and independent consultant. He is an industry thought leader with more than 20 years of enterprise data management experience. and many more blogs, posts, materials, and topics. To keep updated check out my future posts on this blog. 


See? Selling statistical products on Amazon the right way can be effective. Now that you know the do's and don'ts of selling statistical products on Amazon, want to show the world your skills?

If you have not already done so sign up with Amazon and get to work! After incorporating the Amazon platform into you business process a tip would be to also formulate a plan on how to incorporate another two platforms. What other statistical product online selling platform identification best practices would you suggest? Share your ideas with me by commenting below!