Twitter: the unsavory fries show us the future of big data

Twitter executive Bain discussed the company's revenue challenges at a summit in Dublin

Twitter after the market is facing pressure from Wall Street's user growth and revenue growth. As a new revenue source, Twitter has purchased the shopping button on the test site and is expected to get the shopping share.

At a recent industry conference, AdamBain, president of Twitter's revenue and business model, introduced Twitter's unmined revenue enrichment, that is, to authorize an enterprise to mine big data for 0.5 billion million tweets generated daily by users. Bain also cited the example of a vendor's active contact with Twitter.

As an executive in charge of global revenue, Bain faces such a problem every day, that is, how Twitter opens up new sources of revenue. As we all know, Twitter users are far behind Facebook, and user growth has slowed down. In this context, Bain needs to study Twitter's new business model.

Bain attended an Internet Summit in Dublin, Ireland a few days ago. He said that Twitter's three sources of revenue: advertising, data mining, and social commerce have good prospects.

Advertisements are already the most important sources of Twitter revenue, including all kinds of advertisements for tweets. At this conference, Bain was very much looking forward to the prospect of data authorization as a new business.

It is said that every day, users around the world will generate 0.5 billion tweets on Twitter, which contains a wealth of information. Twitter can authorize enterprises or external organizations to perform in-depth mining of tweets, to obtain valuable information.

Bain said that the revenue from data mining authorization is currently growing by 171% Year on year.

Recently, Twitter announced a partnership with the enterprise IT consulting giant IBM. A large number of IBM consultants will help enterprise customers around the world to explore important information from Twitter tweets, to improve the operation of enterprises.

Bain gave a fresh example to illustrate the value of tweet data mining.

He introduced that a company that made an Industrial frying pan once contacted Twitter, a company that mainly produces fried food in restaurants. The company told Twitter that it wanted to pay for authorization and search and mine tweets from Twitter users.

Bain doesn't understand why a frying pan manufacturer is interested in Twitter tweets. The vendor explained that if the frying pan in a restaurant suffers a fault or a problem and needs to be repaired, then the fried food may feel compromised and boring.

The company wants to keep an eye on tweets. If a netizen's tweets contain keywords such as "bad French fries", they will locate them and contact specific restaurants, to sell the company's Industrial frying pan or other services.

Bain said: "We believe that companies can find a large amount of valuable information in Twitter tweets. These tweets have become the world's largest public chat database, and many companies are using this data in a variety of interesting ways ."

A number of media outlets have reported that Twitter has launched the test of the shopping button in tweets. Bain also introduced the progress of shopping buttons at the conference. He said that he is currently testing with several limited partners, and the shopping button is still in an "incubation period" stage.

Bain said Twitter is currently testing different products at different prices. More importantly, Twitter wants to know what kind of emotional atmosphere it is, and encourages users to implement fast purchases in tweets. Twitter's social e-commerce revenue-generating program, it is actually a business model based on user sentiment.

Twitter and Facebook, both global social networks, are currently testing social e-commerce and intra-site shopping. Media analysis pointed out that online shopping on social networking sites will be completely different from those on Amazon, Walmart, and other e-commerce websites. Users prefer a kind of "flash shopping" driven by emotion ", this kind of impulse often comes from the recommendation of friends or the praise of a commodity.

Twitter: the unsavory fries show us the future of big data