A new study suggests social sharing of information and opinions about products on Facebook is both a mainstream activity and a significant influence on shopping behavior. The study, conducted by Sociable Labs, found that 62 percent of online shoppers have read product-related comments from their friends on Facebook.
The top value to shoppers in reading social sharing is that it “helps them discover a product they might want to buy, the study suggests.
About 75 percent of shoppers who read social sharing comments have clicked on the product link in their friends’ Facebook posts, taking them to the product page on a retailer’s website. Some 53 percent of the shoppers who have clicked through to the retailer’s site have made a purchase, the study found.
A core reason for these actions is that shoppers see social sharing as one of the most helpful tools for finding the right product to buy, the study suggests.
Some might say a key finding is that Google search and Facebook comments by friends are far and away the "most helpful" sources of information by respondents, rated about twice as helpful as advertising.
Tuesday, April 10, 2012
Social Sharing as Helpful as Google Search in Shopping
Gary Kim has been a digital infra analyst and journalist for more than 30 years, covering the business impact of technology, pre- and post-internet. He sees a similar evolution coming with AI. General-purpose technologies do not come along very often, but when they do, they change life, economies and industries.
Subscribe to:
Post Comments (Atom)
Will AI Fuel a Huge "Services into Products" Shift?
As content streaming has disrupted music, is disrupting video and television, so might AI potentially disrupt industry leaders ranging from ...
-
We have all repeatedly seen comparisons of equity value of hyperscale app providers compared to the value of connectivity providers, which s...
-
It really is surprising how often a Pareto distribution--the “80/20 rule--appears in business life, or in life, generally. Basically, the...
-
One recurring issue with forecasts of multi-access edge computing is that it is easier to make predictions about cost than revenue and infra...
No comments:
Post a Comment