Leader companies will be able to create new business models through data
Younger John said that about a decade ago, AI artificial intelligence is still an experimental stage, and Appier was founded in 2012, is to see the paradigm shift at the time the device is just emerging, but many stakeholders still do not know how to respond to users The cross-screen usage behavior therefore chooses to cut across the screen area.
At the beginning of its establishment, Appier was in the face of business customers at the time, is to help them point out the problem, and AI artificial intelligence to solve the problem; but 5 years later, most companies today have grown up to be able to ask their own questions, and the problem-oriented coverage points , Lines, surfaces, and now even now the real business, but also began to value the data, and proceed to collect relevant data.
He believes that all enterprises in the future must move toward AI Artificial Intelligence, and while data and AI Artificial Intelligence can help companies optimize efficiency, leading the more advanced businesses is the ability to create new business models through AI artificial intelligence and data.
However, companies can still count their existing resources, prioritize them, and do not necessarily have to digitize everything at the same time. Enterprises that want to develop new business models through data can initially align themselves with other industry players and then consolidate each other's data Resources to help create new business models together.
Brand companies need to have digital capabilities
Media agencies are in the process of helping enterprises to make digital transformation and observe the current enterprises' recognition and positioning of AI artificial intelligence.
Leo Burnett Digital Director Lin Ding-feng said that today's digital media a huge number of corporate clients despite AI artificial intelligence and data thinking, but if there is still a gap between the actual investment; and advertising agencies in the digital transformation process is to assist Clients fill the digital gap.
He observed that in the digital transformation, corporate clients are divided into two phases: the first is that they have not started digitization yet, so the role of advertising agencies in this role is to act as a technology company and a marketing company to assist clients in data transformation Build thinking and even assist these companies in CRM.
The second is that corporate clients have the foundation of digital transformation, but also have a certain degree of data management standards, but still hope that through the AI artificial intelligence, to help them find the right potential consumers.For such business customers, advertising agencies The role is to learn together with the business.
He pointed out that in the current wave of digitalization, the most common problem for branded enterprise customers is that they do not know whether they have the resources or not, but simply imitate others' new media marketing tactics.He believes that most enterprises in the early stage would set up a single digit Relevant departments, but now in fact the entire enterprise staff need to have a number of internal capacity, only enough to meet the wave of digital transformation.
New Membership in the Retail Industry Increases Year by Year AI can help develop new customers
Retailers observed that with higher media marketing costs, lower conversion rates, and higher acquisition costs for new members, AI artificial intelligence could help retailers develop new sources of customer base.
Chief Executive of Tokyo Garment Operations said that the purpose of AI artificial intelligence is to be close to customers and close to human nature.He believes that e-commerce brands currently established over 10 years online have less emphasis on data because they mastered the early e-commerce dividend However, as digital advertising becomes more costly in the future, data on the members of brand owners should be able to help the brand achieve synergy to bring brand owners closer to their customers.
Clapping Xu Shan, executive vice president of clap, took the experience of private label development as an example to analyze the process of digital transformation of retailers. About 5 years ago, Clapping International attempted to move from the physical storefront to the online network when their major issues were How to get the data
However, with the networking of various consumer behaviors nowadays, the acquisition of data has also become relatively compatible. Therefore, how to utilize data for analysis and help AI to make decisions or even execute in a short period of time in response to changes in the market Optimize business efficiency, and thus become the important homework.
He pointed out that with more and more physical stores entering the electricity market and the cross-border electricity suppliers joining the battlefield, the future retailers will get more and more expensive members. In the past, e-commerce or traditional marketing, Multi-sale, and provide the same set of marketing strategies and programs; but today's customers prefer customized advertising content, while customized advertising content if the traditional manual, is a great challenge, but if AI artificial intelligence assistance, you can assist Enterprises to develop new customers, and even to help businesses analyze and try.