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AI Disruption in marketing
Innovation has always been the main engine of an improved standard of living throughout history. Imagine a marketing market in which AI(Artificial Intelligence) is the common in digital interactions, transforming the experience of engaging with a brand’s app or website.
Today, AI technology is changing the way marketers reach and engage with customers. With the rapid development and supply of AI, text and audio-based communication has spread rapidly and video and image-based marketing has become easier. As a result, sales can now be accelerated at a lower cost than traditional marketing channel combinations.
However, there are still many problems with AI technology.
Marketing is a creative industry. Empathy, sympathy, and storytelling are attributes that machines cannot imitate, at least not yet. There are also issues like copyright.
But after all, AI is not bound by human limitations. We don't know what AI can do in the near future.
For field marketers, development of AI is touching their skin. Generative AI such as Chat GPT and LLaMA is helping to create content in marketing. In a survey conducted by BIBI, more than 36% of respondents said they used AI technology in various ways to speed up the creation of marketing content. (Fig. 1)
When asked to identify the areas in which AI was already enhancing campaigns, marketing professionals named benefits in several areas.
-Automation of repetitive tasks
-Analysis of large quantities of data
-Personalization of campaigns
-Predicting conversion rates
-Optimizing the timing of email marketing
With AI tools and technologies, marketers can gain deeper insights into consumer behavior, create more personalized and targeted campaigns, and optimize their strategies for greater efficiency and ROI.
The use of AI has greatly improved marketers' productivity. However, the use of AI alone cannot effectively carry out marketing. If you want to successfully market with Generative AI, you should follow these three principles.
1. Creativity comes from you
Many marketers use AI too effectively. Beyond producing images or videos, voice, and text, AI may be left to the subject or method of marketing. AI's data analysis is obviously an important reference, but it is ultimately up to you to market effectively using it. AI does not take responsibility for the results of marketing, a tool that increases productivity.
2. AI also needs keywords.
Due to the nature of AI's mechanism, results are completely different depending on which words are organized into sentences. Therefore, you have to go through several trials and errors before you get the result you want. Today, it is important to keep in mind that how to use AI can also be a marketer's know-how.
3. Collaboration is all the more important.
Today, with the development of AI, one marketer can take charge of the project. However, these developments have side effects that make you forget the importance of collaboration. Projects are coming out as more complex as the development of AI, and there are clear limitations to responding to these projects with personal experience. Therefore, when you derive results from more data beyond your personal experience, you can market more effectively.
Artificial Intelligence (AI) is rapidly transforming the future of digital marketing by revolutionizing the way businesses interact with customers and achieve their marketing goals. we combine all the above considerations to depict the current state of AI and its likely evolution.
In the short and mid term, AI will have a great influence in four major areas.
1. Controller of numerical data
AI can do statistical analyses of numeric data very well using machine learning. A typical use case is the application of AI to optimize prices. Pricing strategies must balance two competing concerns; that the price is low enough to attract customers versus high enough to enable the firm to earn sufficient profits. Firms use AI to analyze vast amounts of numeric data (including less intuitive predictor variables) to both set optimal prices and then change prices in real time.
2. Controller of data
Efforts to analyze non-numeric data offer the potential to improve understanding of what customers want, and firms’ customer service. Some AI applications can analyze non-numeric data (in some cases, after conversion to numeric data), primarily using speech and image recognition capabilities achieved with deep learning neural networks. Some AI applications in companies use all types of data (i.e., use numeric data and non-numeric data), we term the AI applications in this cell as reflecting “Controller of Data.” With this data, companies can create customized experiences for their customers based on their preferences, behaviors, and past interactions with brands. Personalization can increase engagement, loyalty, and transformation as customers feel more connected to brands and products.
3. Improved customer experience
AI-based chatbots and virtual assistants can provide users with instant, personalized support and support around the clock. Chatbots are already used by many companies, allowing companies to engage with customers in real time and provide support and support when needed. This can help companies improve their customer experience, increase customer satisfaction, and build brand loyalty.
4. Automation of marketing
AI-based tools can help companies optimize campaigns to increase efficiency and ROI. This includes identifying which campaigns are most effective, which channels drive the most traffic and transitions, and which messages resonate with the target audience. AI-based tools can also help companies automate and streamline their marketing processes, freeing up time for marketers to focus on other areas.
The future of digital marketing is undoubtedly AI-driven. Although the limits of its use are now clear due to several ethical and technical issues, such as Protecting privacy and Job security for marketers, it is increasingly invading the realm of human "creativity."
As AI technology continues to evolve and become more sophisticated, businesses can expect to see even more opportunities for using AI-powered tools to enhance customer experiences, drive conversions, and achieve their marketing goals. Companies that utilize these AIs efficiently will survive, but companies that do not will die one after another.
These advances in AI will also make it more difficult to emphasize the differentiation between marketing companies, and at the same time, will intensify competition by introducing more diverse companies.
Therefore, continuous research and data collection are required on how to use AI and apply it to marketing.
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