Generative AI – a term that has been mentioned a lot since the 1950s. Along with the development of technology, Generative AI is becoming a “hot” topic today. Generative AI has penetrated into many areas of human activities from cinema. Technology, business… and it has made great changes in perception and daily life.
What is Generative AI?
Generative AI – Artificial Intelligence (AI) is the result of the process of simulating human intelligence on computers. This process includes: learning (acquiring and using information) > reasoning system. (using rules to reach approximate or definite conclusions) > self-correction. Special applications of AI include expert systems, speech recognition, computer vision.
Generative AI is evolving to a new level. It does not stop at extracting answers from the original data warehouse but also has the ability. Create new content such as images, text, videos, … even 3D graphics.
The strong development of AI, especially Generative AI, has a great. Impact on the number of human jobs because it can produce. Results that are almost human-like and difficult to distinguish.
GPT Chat by OpenAI (USA) is a typical example of Generative AI. This software has the ability to create diverse. Content and works in the form of responding to users in writing, blogging, writing poems, etc. without being limited by any language or topic. As soon as GPT chat appeared, it became a phenomenon and attracted more than a million users within just 1 week.
Given the positive impact of Chat GPT, many other companies such as Google, Microsoft’s Bing, and Opera, have quickly entered the diverse AI field to compete. With more participation and the discovery of new applications for diverse AI, the excitement around this technology is expected to continue to increase.
Businesses using AI create many advantages
In fact, artificial intelligence (AI) is becoming a trend that brings many benefits to businesses. In particular, AI application becomes a “lever” to help businesses increase revenue X times.
AI applications help predict customer behavior accurately
AI applications help us “predict” user behavior through access history, ordering, payment methods, etc. In other words, AI can know human behavior through past and present actions, thereby determining customer desires and suggesting suitable products, increasing customer choice.
AI application helps analyze customer shopping behavior
AI application helps analyze customer shopping behavior
Not stopping there, AI can understand, analyze and “guess” future customer behavior based on current preferences, choices and interests. This is very important for businesses to collect information and draw a picture of customers from which to implement marketing strategies, closely following the goals in the customer shopping journey.
Build sales process, create good customer experience
To optimize work efficiency, many businesses have applied artificial intelligence (AI) to the sales process, eliminating manual steps and increasing efficiency. Applied technologies such as: data analysis, automatic information storage, language processing, automation, thereby building a process to create appropriate content, optimize shopping actions and create appropriate contexts, helping customers have a better experience.
Personalization – effective customer care
Customer personalization is a very important issue in customer service. AI with the ability to automatically store information helps consultants easily identify and personalize customers effectively. When there is any interaction from a customer, with AI technology, consultants can identify whether the customer is new or old and what problems they have encountered through the profile and provide valuable information to the customer. In return, customers will also have good experiences with customer care services.
Reduce waiting time for customers
If customers have to wait, they will often choose another business. This means that if you do not respond promptly, the possibility of losing potential customers is very high. To solve this problem, Generative AI offers a solution to support humans in consulting, helping to respond promptly, respond instantly using Chatbot or Voicebot. This tool helps optimize time for customers, while supporting consultants in customer care activities. Moreover, they help free consultants from frequently asked questions, ask for customer information and automatically distribute customers to the right relevant department for further processing.
Reduce business operating costs
Generative AI can replace humans in some tasks. This helps optimize operating time, thereby businesses can reduce personnel costs while still improving work efficiency in the sales – customer care process.
In fact, many businesses are now using AI technology to gain an advantage in the competitive market. As an interactive support tool, Subiz has applied many Generative AI tools to help businesses reach more customers and increase conversion efficiency. Therefore, when integrating Subiz, you can easily identify new and old customers, thereby personalizing the target, supporting instant feedback and effective customer care.
We specialize in crafting personalized email lists focused on particular job functions, supported by a skilled team with a strong history of success. Our loyal clients frequently share their positive experiences with our offerings. You can also become part job function email list of our distinguished clientele! If you’re interested, don’t hesitate to reach out via our trustworthy online platform. We assure you of prompt and top-notch service.
The popularity of Generative AI has many reasons. One of them is its power to generate new and innovative data. This has opened up a new world of digital art. It allows users to create new images, sounds, and texts automatically and creatively. Moreover, Generative AI is also used to solve difficult problems in many fields. From medicine to material science. It can create predictive models and create new products. This helps increase productivity and efficiency.
In today’s digital age, data has become a valuable asset for businesses. Collecting, managing and effectively using data has become a decisive factor for success. As a data management center, Data Management Platform (DMP) has become an important tool, helping businesses collect, organize, manage and apply data effectively.
What is DMP?
DMP (Data Management Platform) is a data management system. It is used to organize, manage, and analyze information from various data sources. DMP is commonly used in the field of advertising and digital marketing to understand and interact with target customers. DMP data management systems help marketers and advertisers gain insight into customers, thereby classifying customers, creating target customer groups, and customizing advertising messages to increase the effectiveness of marketing campaigns.
See more: Distinguishing CDP software from CRM and DMP
What is DMP?
What is DMP?
How does DMP work?
A Data Management Platform (DMP) works by aggregating, managing, and analyzing data from multiple sources. Here is the basic workflow of a DMP:
Phase One: Data Collection
The operation of a DMP data management system begins with collecting data from first-party, second-party, and third-party data sources to create detailed customer profiles. The information is aggregated and managed to help businesses better understand their target customers.
First-party data is data that a business owns and collects directly from its customers, including data collected directly from customers with their consent, from customer relationship management (CRM) systems, and from registration data. Additionally, companies can collect data for free from online surveys and customer feedback.
Second-party data includes data purchased from another company that holds, owns, and collects information about customers similar to the business’s target customers.
Third-party data is data purchased from companies that collect data from a variety of websites and platforms. In this case, these companies are data aggregators, not the original collectors.
The DMP system’s operating process consists of 3 stages: data collection, segmentation and analysis.
The DMP system’s operating process consists of 3 stages: data collection, segmentation and analysis.
Phase Two: Data Segmentation
In this phase, businesses use a DMP data management system to divide and group similar data based on different parameters to improve operations. The data is organized and managed in a structured manner by DMP for ease of use and analysis. DMP uses methods and tools to standardize or consolidate different data sources, eliminating invalid or duplicate data.
Phase three: Data analysis
Data analysis involves building data models to identify information that can be useful for business decisions. In this phase, DMPs use the collected data and classify previous user activities on the website such as clicks, interests, and responses to ads, etc. to create specific customer profile information.
Phase Four: Data Transfer
After collecting, segmenting, and analyzing data, DMPs pass that data to advertising platforms, demand-side platforms (DSPs) and supply-side platforms (SSPs) for deployment.
In contrast, SSP (Supply-Side Platform) is a platform used by publishers (such as websites, apps) to manage and sell ads on their platform. SSP helps publishers create an ad inventory available for sale and connect with DSPs and Ad Exchanges. SSP allows publishers to define ad inventory, set prices, and maximize profits from selling ads to advertisers through the ad exchange.
Functions of DMP data management system
The main function and role of a DMP (Data Management Platform) is to manage, organize and leverage customer data to support advertising, marketing and personalized interactions. Here are the important functions and roles of a DMP:
Data Collection: DMPs collect data from various sources such as websites, mobile apps, social media, CRM systems, and external data sources. This data includes customer information, online behavior, interests, preferences, purchase history, and more.
DMP helps businesses manage customer data for effective advertising and marketing.
DMP helps businesses manage customer data for effective advertising and marketing.
Data processing and analysis:
DMP data management systems process and analyze data to create valuable information about customers. This includes identifying customer characteristics, customer groups, interests, and consumer behavior. Data analysis helps to better understand customer audiences and generate the information needed to optimize advertising and marketing campaigns.
Data storage and management: DMPs store customer data securely and in a structured manner. DMPs sort and organize data based on criteria such as personal information, interests, customer groups, and consumer behavior. Data management ensures the integrity and security of customer information.
Data Integration and Sharing: DMPs enable data integration and sharing with stakeholders such as advertisers, marketing partners, and service country wise email marketing data providers. This data sharing helps third parties leverage the information to create effective marketing campaigns, advertising, and personalized interactions.
Benefits of businesses using DMP data management system
Using the DMP (Data Management Platform) data management system brings many benefits to businesses such as:
Optimize advertising and marketing: DMPs allow for audience targeting and ad targeting based on detailed customer information, thereby improving advertising and marketing performance. According to AdRoll (2018), using DMPs improves ad conversion rates by up to 70% and reduces conversion costs by up to 49%.
Increased personalization:
DMPs enable customers to create personalized engagement experiences. According to Evergage (2020), 88% of customers find personalization important to their shopping experience, and 63% of customers expect to receive personalized content. DMPs help businesses deliver content, ads, and messages that are relevant to each individual customer, increasing engagement and personalization.
Data management systems bring huge benefits to businesses
Data management systems bring huge benefits to businesses
Better understanding of customers: Using DMPs, businesses can better understand their customers and enhance their understanding of them. According to a report by Forrester Consulting (2018), 92% of marketers believe that customer understanding is an important factor for success in digital marketing. DMPs provide detailed information about ba leads personal characteristics, interests, preferences, purchase history, and consumer behavior, helping businesses understand customer needs and create appropriate marketing strategies.
Improve ROI and increase revenue:
Using DMPs to optimize advertising, marketing, and personalized interactions. Businesses can increase revenue and improve ROI (Return on Investment).
Increase the effectiveness of multi-channel marketing campaigns: DMPs allow data integration from multiple. Sources and provide relevant customer information across multiple marketing channels. According to a Winterberry Group (2018) report, 87% of marketers said. That integrating data from multiple sources through. DMPs improved the effectiveness of their multi-channel marketing campaigns.
Data Management Platform (DMP) has become an important tool in the field of marketing and advertising. Helping businesses collect, manage and use customer data effectively. Through data segmentation and analysis. DMP helps businesses better understand customer characteristics and behaviors. Thereby making smart marketing decisions, creating personalized. Experiences and improving customer satisfaction.
