At this year's World Internet Conference, Daily Interactive (Getui) officially released the company's large-scale model application innovation achievements in the field of brand marketing for the first timeAITA Selects CrowdsTool. This product deeply integrates the powerful capabilities of large models and the company's digital intelligence capabilities to achieve itAI-targeting audience (AI) is used。Through simple natural language conversations, the tool can quickly generate targeted audiences for brand advertisers that meet their needs, helping them effectively connect with consumers.
Daily Engagement has been available to brand advertisers since 2015Third-party DMP data marketing servicesto help brand customers at home and abroadConsumer insight, advertising crowd targetingWe are committed to using data to make marketing more effective.
Over the years, after many major technological innovations such as cloud computing, big data, and artificial intelligence, Daily Interactive has always been guided by the marketing needs of brand advertisers, researching and exploring the application of new technologies, and constantly carrying out product iterations and service upgrades.
For example, inThe era of big data, daily interactive output tag capability, through thousands of tags to help brand advertisers for consumer insight and crowd targeting; The era of data intelligenceThe daily interaction helps brands intelligently tap high-potential TAs from the vast sea of people through machine learning Xi capabilities and joint modeling of brand owners. The recently launched AITA Smart Crowd Tool is a daily interactionThe era of large modelsIt realizes AI targeting crowds and helps brands achieve marketing upgrades in the era of generative AI and large models.
"Label Orientation" in the Big Data Era and "Model Orientation" in the Era of Data Intelligence
In the new market environment, brand marketing emphasizes more on "people" as the center, and adjusts and layout "goods" and "fields" around "people". It can be said thatIn the era of big data, the insight into "people", that is, consumers, and the ability to communicate and link with consumers are the key to the success of brand marketing.
So, in the age of big data, daily interactionsOutput its powerful data capabilities in the form of tagsto help brand advertisers portray consumer characteristics and truly understand consumer needs; And passedLabel TargetingIt helps brands to efficiently find out the target audience that meets the needs of the characteristics from the vast crowd and conduct refined communication with consumers.
In the era of data intelligence, the application of artificial intelligence technologies such as machine learning Xi has been deepened, and the mining efficiency and extraction accuracy of data value in the industry have been greatly improved. At this stage, the daily interaction was constructed using machine Xi, vectorization and other technologies100 million-level feature data systemto help brand advertisers gain more granular insights into crowd portraits.
Daily Engagement also helps brand advertisers Xi models through machine learningTap the value of one party's data and the purchase potential of intelligent consumersAnd through the look-alike algorithm, the best potential customers are mined from the users of the whole network, and the crowd is targeted more accurately and intelligently.
Large-scale model era: AI orientation is used to help brands generate TAs in a conversational manner
In the specific implementation process,"Label targeting" is the selection and combination of labels by brand marketers according to their own cognitive understanding of consumers, while "model targeting" requires brands to provide seed data as a premise。However, in some specific marketing scenarios such as new product promotion, brands usually lack seed users and are not clear about their target consumer groups. For example, some companies are trapped by the lack of data volume, and it is difficult to analyze and gain insight into consumers' characteristic preferences from multiple dimensions, which in turn affects the accuracy of target targeting and restricts the improvement of brand digital marketing effects.
The emergence of large language models and generative AI has brought ideas and opportunities to solve problems in similar scenarios. Large language models can understand human natural language, and have the ability to judge, analyze, and reasonAfter being "fed" with domain-specific knowledge and industry know-how, large language models can also be "self-taught" and become experts in the corresponding fields and industriesto help solve specific industry scenarios. Therefore, Daily Interaction will "feed" the experience and knowledge accumulated in brand digital marketing to the large model, so that the large model can understand the marketing "jargon", and use the "jargon" to output its understanding of the humanistic characteristics of the brand and consumer groups.
Generative AI can write poems, draw, code, and generate rich and diverse content. When applied to the field of marketing, can AI also generate ** groups and consumer portraits? Daily interactions are inspired by this, tooCutting-edge data weaving technology has been introducedThe large model translates and maps the jargon language features of the crowd into the data label features of daily interactions, and expands the similarity in the network-wide traffic pool of daily interactions, so as to intelligently target the target TA.
Compared with "label targeting" and "model targeting", "AI targeting" has two unique advantages: "seedless insight" and "conversational promoting".。The latest AITA Smart Selection Tool released by Daily Interactive is the productization of "AI Targeting". There is no need to provide seed data or technical background, front-line marketers only need to put forward marketing demands like daily conversations, and AITA can quickly give their own marketing strategy suggestions and crowd targeting results, which greatly reduces the threshold for data application.
Since the interaction between users and AI in the process of using AITA is in "jargon", we also refer to "AI targeting" as "jargon targeting". No matter what kind of targeting method, it has its unique advantages and suitable brand marketing scenarios.
Currently,The three major targeting capabilities of "Label Targeting", "Model Targeting" and "AI Targeting" have been integrated into the intelligent marketing SaaS platform of Daily InteractiveInterested brand advertisers, 4A companies, and ** parties are welcome to contact us to open a trial and open a new experience of data and AI-driven marketing.