Amazon & LinkedIn – Collaborative Prospects
LinkedIn recently announced launch of its open application platform for others to develop social applications. (http://blogs.zdnet.com/social/?p=600). Out of those, the one which caught my attention was an application named as the “Reading List” developed by Amazon. Those, who haven’t seen this yet, would probably want to take a look at the Demo video on YouTube. (http://www.youtube.com/watch?v=KNlANI9juY8). However, if you think about this, this is not the first time somebody has developed an application like this on a social network. So, you might be wondering as to what makes this one different?
Two things which I may point out –
1) This one is developed by Amazon, whereas other social networking applications on other networks are mainly developed by individual developers. So, one can expect that this is only the tip of the iceberg and there is more to come in terms of achieving synergies between LinkedIn and Amazon and we might see much more functionality added to this app in the near future.
2) With Reading List, LinkedIn has become part of Amazon’s affiliate network and thus generating an additional source of income. (A closer look of the application and URLs shows that LinkedIn has an Amazon affiliate tag inserted in all the links which goes out from LinkedIn to Amazon via this app).
http://www.amazon.com/gp/product/014302910X/ref=cm_li_v_cr_self?tag=linkedin-20
To me this integration between Amazon and LinkedIn looks much cleaner than other applications seen previously on networks like FaceBook (http://www.facebook.com/apps/#/apps/application.php?id=2397701323&b=&ref=pd_r). The prospects are immense - There is much more which can be done with this application and many more functionalities, which I would like to see in this, but nonetheless this is a good start. Some of the features would come best if developed in joint collaboration between Amazon and LinkedIn - a few functionalities listed below may require customer profile sharing between Amazon and LinkedIn.
1) Access to LinkedIn Profile data can take Amazon’s personalized recommendations to the next level. Especially considering that Amazon never had as much insight into Customer’s interests as that can be got from this exposure.
As an example, consider this scenario: If LinkedIn can pass the Customer’s interests data to Amazon and Amazon can parse that information intelligently and generate recommendations based on it. Also, if other people in the network have any of the recommendations generated by Amazon it can be boosted further as part of recommendation algorithm. This will make recommendations far more relevant and interesting to a specific customer. Wouldn’t that be something to consider?
2) Next, I would love to see the “Buy Together” kinds of promotions generated out of the reading list from my network on LinkedIn. This type of feature can generate more sales for Amazon, additional affiliate revenue for LinkedIn and of course extra savings for the consumer. Any “Buy together” promotion generated out of the customer’s network reading list will have more chances of conversion compared to books otherwise suggested by Amazon on their product detail pages. In future, Amazon can come up time to time with such promotions for LinkedIn customers as part of Reading List app.
3) Another exciting possibility is to provide ‘Customer Reviews’ for the user from people in ‘his’ network. Amazon can show an option on product detail pages to look at the customer reviews written by people in his network. It will be worth experimenting to see how it affects the conversion rate. (This will again require profile sharing).
4) Quick transfer of books (SKUs) from the Customer’s ‘ListMania’ lists on Amazon.com so that he/she can save time creating a reading list on his LinkedIn profile. This can be done in a simple manner like the way you migrate your address book when you switch your mail provider.
The more you think on it, the more possibilities you consider. However, the bottom-line will remain on LinkedIn’s and Amazon’s willingness to collaborate and experiment and generate interests about such applications on social networks.
If there is yet another feature you would like to see with respect to this social networking application, please add your thoughts by posting comments to this article. I will be happy to update the post with interesting relevant suggestions (Of Course with due credit to your name).
