Some items that caught our attention last week.
Amazon has built a subscription launchpad with Amazon Prime
TechCrunch: “It looks like incremental news, but the fact that Amazon now lets you subscribe to Amazon Prime Video separately from the rest of Amazon Prime signals a bigger shift. Amazon wants to turn the company into a subscription business, one subscription at a time.”
Amazon Spends $30 Million to Sell Ebooks to NYC Schools
Digital Book World via The Wall Street Journal: “New York’s Panel for Education Policy voted in favor of the three-year deal with the Department of Education, which will go into effect in the next school year…The new deal will allow Amazon to introduce its ebook catalog to more than a million students in New York City, the nation’s largest school district.”
What Are the Strongest Amazon Search Ranking Factors?
Marketing Charts: “While no single factor has a very strong correlation with search rankings, Amazon’s sales rank has the highest correlation with search success on the platform, according to an analysis from Ripen eCommerce, which also found that products in the top 1% of sales rank appeared on average in 8.7 different search queries (compared to 2.2 queries for the average product).”
Influencer Marketing: It’s all about the audience
eConsultancy: “As a flurry of ‘best practice’ posts hit the web, one thing seems to missing: how to actually build relationships with – and pitch to – influencers. The answer lies in understanding their audience, without whom there is no ‘influence’, and working back from there.”
How to Influence Branded Searches and Search Volumes to Earn Big Rewards – Whiteboard Friday
Moz: “What have you been doing with branded searches? If the answer is “not much,” it may be time to shift your focus a bit. In today’s Whiteboard Friday, Rand explores the huge benefits of turning some of your unbranded searches into branded and offers some key tactical advice.”
Satisfaction a Future Ranking Signal in Google Search Results?
Bill Slawski, SEO by the Sea: “A newly published Google patent application describes technology that would modify scoring and ranking of query results using biometric indicators of user satisfaction or negative engagement with a search result. In other words; Google would track how satisfied or unsatisfied someone might be with search results, and using machine learning, build a model based upon that satisfaction, raising or lowering search results for a query.”