AI시대 마케팅의 미래는?

The AI ​​renaissance is sweeping through the entire marketing strategy. The power of AI has reshaped marketers’ traditional approaches, leading us to marketing in the age of AI.

인공 지능(AI)은 조직을 고객 참여, 개인화된 콘텐츠 생성 및 데이터 기반 의사 결정의 다음 단계로 이끄는 최첨단 마케팅 전략의 핵심입니다.

In this write-up, we’ll be covering everything including challenges, benefits, use cases, real examples, and everything you need to know about marketing in the age of AI.

Current Trends of AI in Marketing

The growing adoption of AI in marketing is the next turning point. In reality, it has already had a breakthrough impact – at least the statistics support it. 

51% of marketers are using AI, according to a survey of over 1000 marketers conducted by Salesforce this year (2023). Another 22% are also planning to add AI to their marketing arsenal.

Marketers have extensively used AI to achieve a wide range of objectives. Below you’ll find the marketing professional’s responses to that survey.

• 에 대한 76% ~의 marketers use AI-generated content 카피라이팅 및 기타 기본 콘텐츠용.
• 거의 63% of marketers find AI helpful in analyzing market data.
• 심지어 62% of marketers are generating marketing visual creatives with AI.
• 또한, 71% 마케팅 전문가 중 1%는 창의적 사고 지원을 받고 있다고 말합니다.

But, what factors are influencing marketing experts to take the help of AI?

Salesforce 연구 보고서를 보면, 71% of marketers believe that AI eliminates their busy work and helps to get more time for strategic decisions. Applying AI in marketing work can save approximately 5 주당 시간.

Well, marketers are already relying heavily on AI – but, what do audiences or customers think?

좋은 소식! AI 기반 마케팅 시대에 소비자들도 긍정적인 평가를 내놨다. 최근 설문 조사에 따르면 캡제미니 연구소 그거에 대해 알아냈어 62% of customers have no issue with the utilization of AI in marketing. 

And, they shouldn’t have since one of the core goals underlying AI is to create 고객 중심의 마케팅 전략.

따라서 이러한 지속적인 추세를 살펴보면 마케팅이 직면하고 있음을 확실히 확신할 수 있습니다. 중요한 전환점 in this age of AI.

But, how you’re supposed to utilize AI in your marketing campaign?

What will happen to marketing in the age of AI?

For this, we will first look at what AI means in marketing.

What is AI in marketing?

AI in marketing refers to the practice of integrating artificial intelligence to enhance all aspects of a marketing campaign. 

With AI technologies and techniques like data collection, data-driven analysis, 자연어 처리(NLP), 머신러닝(ML) 등 작업흐름을 자동화하다 정확한 고객 통찰력을 제공합니다. 정확한 결정을 내린다.

Further, AI not only helps you with what you are doing, but it also identifies what you are 마케팅 목표를 달성하기에는 부족함.

The perks don’t end there, though. Nowadays, AI has the potential to empower your marketing campaigns in many other ways. But, before we talk about the benefits, we need to look at the challenges of AI utilization in marketing activities.

Adapting AI into Marketing: Key Challenges

Adapting to a new technology is never easy. And, there is no difference when it comes to AI. Marketers are also regularly facing the following challenges in marketing at the age of AI.

데이터 품질과 정확성

Ensuring data integrity is one of the biggest challenges for marketers. AI can give you access to millions of data in a fraction of time, 하지만 그것은 당신의 목적에 부합할 때만 유용합니다. 효율적인 데이터 관리 방법이 없으면 부적절하고 지저분한 데이터 세트로 끝날 것입니다. 

Further, AI collects data from your external or internal resources, where incomplete or inaccurate data sources can lead to flat decisions.

불분명한 목표

AI can’t determine your marketing goals automatically. You have to set your campaign objectives or road map. But, what AI can do is dramatically enhance the overall operation to reach the goal in a focused and data-driven way.

마케팅 맥락 이해

Another key point that AI+ commonly misses is the context of your marketing strategy. Contextual understanding is something that is deeply attached to the human beings. AI can’t read natural situations like humans 그들의 상식대로 하세요. 

기존 마케팅 전략에 통합

If you think AI is a stand-alone tool for marketing strategy, you are in misconception. The challenge here is finding talented marketers who can understand the needs of AI throughout the strategy and apply it efficiently.

마케터의 전문성 부족

Although many marketers are using AI extensively for various purposes there is still 이러한 발전을 활용하지 않는 대규모 그룹. 심지어 이미 마케팅 활동에 이를 추가한 사람들도 여전히 100%의 성과를 거두지 못하고 있습니다. 

그리고 이런 일이 일어나는 것은 AI 활용 능력이 부족하기 때문이다. 또 다른 불행은 인공지능과 머신러닝 시대의 디지털 마케팅 산업에 특화된 교육과 학습 자료가 충분하지 않다는 점이다.

편견과 윤리적 우려

Another vital AI marketing challenge is avoiding biases and ethical concerns. Algorithms are powerful but not intelligent enough to maintain transparency. Hence, markets must pay close attention to such concerns before blindly trusting AI reports.

데이터 개인정보 보호 및 보안: 

AI drives marketers to build personalization in their campaigns. 

AI 기반 개인화를 위한 데이터 수집 및 분석은 개인정보 보호 문제를 야기합니다. 마케팅 담당자는 GDPR을 포함한 데이터 보호 규정을 준수하고 고객 데이터를 안전하게 처리해야 합니다.

Benefits of Applying AI Applications in Marketing?

AI can help you in many ways to help your marketing efforts. Below, we have discussed some major AI marketing benefits to maximize your ROI.

맞춤형 콘텐츠 제공

최고의 마케팅 캠페인 적시에 적절한 메시지를 제시합니다. 당신의 고객에게. 마케팅 콘텐츠 개인화 based on customer preferences and behaviors can significantly boost customer engagement. AI-based solutions can 데이터 기반 방식으로 고객 여정을 분석합니다. 고객의 관심사와 요구 사항을 파악합니다. 이는 이탈률을 줄이는 데도 도움이 됩니다.

타겟 고객 세분화

As a marketer, it is important to segment your customers according to different factors. And, also reach them with customized messages. AI algorithms will help you understand the different needs of users by grouping them into different demographics. 

새로운 마케팅 채널 찾기

While AI is excellent at helping you keep engaged with the customer before your eyes, it also opens up new channels to increase your customers. As AI plays with large amounts of data, it can easily find new channels where potential customers are roaming. And, leveraging them in your marketing campaign will help increase sales.

예측 분석

미래 동향과 소비자 행동을 예측하면 경쟁사보다 우위를 점할 수 있습니다. 마케터로서, 그것은 큰 장점이다. It lets you identify the features or attributes that customers are looking for and effectively design the promotional strategy. AI can analyze existing consumer data and predict what’s coming next.

실시간 데이터 분석에 액세스하세요

As your marketing campaign progresses, you need up-to-date reports to oversee the current state. It helps to bring any improvement or update in the campaign for maximizing the ROI. For this, AI can present a real-time data analysis of your campaign performance over time.

워크플로 자동화 및 간소화

While traditional marketing can be time-consuming and involve mundane tasks, AI-based campaigns tend to alleviate repetitive tasks. AI integrates automation into the marketing workflow and ensures you’re only doing the appropriate things. Such a system lets you 다른 전략적 결정에 더 많은 시간과 노력을 투자합니다.

향상된 의사결정

결정을 내리는 데 더 많은 시간이 있으면 문제가 발생할 가능성이 줄어듭니다. 가장 중요한 것은 감정적인 결함 없이 혼란을 해결할 수 있는 데이터 리소스를 갖게 된다는 것입니다. 예를 들어, 마케팅 담당자에게 향후 마케팅 전략의 모든 데이터에 대한 정보를 지속적으로 제공하면 예산을 할당할 때 더욱 효율적이 될 것입니다.

Reskilling the Marketers for the AI Revolution

시간이 지남에 따라, 일체 포함 vs human conversation has undergone extensive changes. The present workforce has started to take AI as their companion rather than a competitor. But, this sync between both sides has to go through a reskilling process.

사실은, 40% of the total workforce needs the training to adapt to AI over the next three years- as per an IBM report. Marketers are also not exempt from this requirement. The reskilling in the age of AI of all human stakeholders for marketing in the age of AI is evident.

Let’s learn about some optimal ways to bridge the gap between AI and marketers.

동일한 가치 보장

On most occasions, we have seen that businesses or organizations underestimate humans compared to AI. This tendency results in demotivating marketers and disrupts the practice of healthy marketing.

To prevent this, there should have been an equal investment in developing AI technology and improving human knowledge. This combined allocation will lead to a better prospect in the marketing industry.

기존 트레이닝 재설계

Most companies offer regular training and educational resources to help marketers step up their game. But, in this age of marketing with AI, we need to redesign this employee development process. We must understand, AI is augmenting our existing capabilities rather than introducing an entirely new marketing system.

이러한 이유로 AI 애플리케이션이 마케팅 전략의 각 단계를 어떻게 강화할 수 있는지 직원에게 가르치기 위해 기존 교육 모듈을 수정해야 합니다.

교육 기관과의 파트너십

Companies can also take the initiative to partner with local educational institutions to design high-skill training for their employees. Such knowledge-sharing sessions will help both parties to be up-to-date with the latest AI developments. In this way, we can also ensure future qualified talent in the workforce.

미래 전망 보장

This reskilling mission should be conducted with employees in mind. They will only show interest in this upskilling process if it adds value to their careers. Companies should also promote people who are capable of making the most of AI.

Popular Use Cases of AI in Marketing Practices

실제 실습에 들어가 보겠습니다. 우리는 AI 시대의 몇 가지 일반적인 마케팅 관행을 나열했습니다. 이러한 사례는 현재 시나리오를 더욱 잘 이해하는 데 도움이 됩니다.

Content Marketing in the Age of A나

Content marketing requires your time and expertise. You can’t add value to your audience without investing your sweat. Here, AI makes the biggest efforts to 콘텐츠 제작 워크플로우 자동화. 

The content creation team can apply AI writing for each phase like analyzing keywords, creating an outline, optimizing with NLP suggestions, and many more. This integration will enhance the speed of content production.

Even, AI writing technology has gone even further. For example, using the 원클릭 블로그 생성기 feature of GetGenie AI you can craft an entire blog within seconds.

Social Media Marketing in the Age of A나

강력한 브랜드 입지를 구축하고 싶다면 소셜 미디어, AI has a lot to offer. It can be a tedious job to come up with an attractive social media post every day. But, you have to maintain it to keep your followers always engaged.

To make your social media work easier, AI-based tools can automate the scheduling of social posts, generate text copies, and analyze key insights. 

우리는 만족합니다 전용 템플릿 GetGenie의 다양한 소셜 사이트용. 우리 소셜 미디어 팀은 이모티콘도 포함된 게시물에 대한 매력적인 카피를 쉽게 생성할 수 있습니다.

Email Marketing in the Age of A나

It may seem that using AI for email marketing only means generating email copies. But, there’s more to do. When you incorporate AI into your email marketing, you’re sending the right message to your audience at the right time. 

AI analyzes past email campaign behavior and performance to create an optimized email strategy. It can even customize emails according to different audience types. And, when someone takes action after receiving an email AI will automate the triggering to lessen the repetitive work.

그리고 이메일 캠페인의 실시간 분석을 감독하여 항상 업데이트를 받으세요. 이러한 보고서에 따라 이메일 캠페인을 재구성하게 됩니다.

Video Marketing in the Age of A나

비디오 마케팅은 마케팅 담당자가 수행하는 가장 어려운 작업 중 하나입니다. 여기에는 아이디어 구상, 대본 작성, 비디오 편집, 비디오 제작, 음성 해설 등이 포함됩니다. 그리고 비디오 캠페인 실행에도 많은 후반 작업이 포함됩니다.

인공지능은 전체 과정을 간소화할 수 있다 비디오 마케팅 프로세스. 최근에는 AI 글쓰기를 활용해 비디오 스크립트를 생성하는 도구 has become increasingly popular. Another key benefit of AI is empowering data analysis. The powerful data insight can open the door for new video content ideas and more viewers. 

You can even make videos without writing a script or using a camera. Sounds amazing? Using your existing visual content such as videos, images, and text copy, AI can create an entirely new video that can be used for marketing. Furthermore, AI technology enhances the audience experience by automating the transcription and captions.

Product Marketing in the Age of AI

You know your product very well but target customers are far from it. The challenge is more difficult when the jobs need to be done by the startups or new companies. Here comes AI, it can be a great solution for product marketers to sync their original branding messaging with campaign assets.

Actually, things can be started much before. AI can predict customer buying behavior and recommend features for your upcoming products. It helps to create the branding strategy. AI also helps in finding new channels to advertise your new products.

Visual Branding in the Age of AI

The best thing AI can bring to your visual branding is consistency. When properly trained, AI can adhere to brand guidelines better than human designers. But, that doesn’t mean it is replacing the designer team. 

Rather, applying AI tools will help designers be more flexible and creative for an efficient brand strategy.

But don’t limit AI use to our curted areas only. There could be many more depending on the circumstances of your marketing and advertising activities. Get benefits as much as you can.

Let’s learn from the below AI marketing examples, how AI can be used in marketing

Examples of AI in Today’s Marketing

There are thousands of examples of implementing AI in marketing campaigns that have seen success. You will see many examples in every industry. Now, we are going to highlight 3 examples to better understand your on marketing at the age of AI.

폭스바겐

적용방법: 예측 분석

AI Marketing Outcome: 폭스바겐 대리점의 20% 판매량 증가.

Volkswagen is a pioneer in using AI in the automobile industry. Since 2013, an expert team has been working in the Data Lab in Munich to implement AI in various aspects. And, as a part of this, their marketing team takes the help of Predictive Analysis to forecast the customer buying decision.

They use AI to analyze data including economic development, household income, consumer preferences, model availability, and pricing. By eliminating their hired marketing agency, they worked on their marketing campaign independently with the support of data. This initiative resulted in an increase of 20% in sales by their dealership.

스타벅스

적용방법: AI Voice Search (Amazon’s Alexa)

AI Marketing Outcome: 3,120만명의 모바일 고객을 만나보세요.

Starbucks has successfully taken the advantage of growing voice search trend. Considering their large number of adult consumers, they implemented an AI voice-powered barista service in their “My Starbucks Barista’ mobile app.

그들의 목표는 고객이 음성이나 챗봇을 통해 맞춤형 주문을 제공하고 픽업 위치를 설정할 수 있는 유연성을 보장하는 것이었습니다. Amazon Alexa의 지원으로 그들은 3,120만 명의 모바일 고객에게 다가갈 수 있었습니다.

And, the good thing is Starbucks is still trying to harness the power of AI for the betterment of customer service. They newly introduced a new AI-based innovation “AI-powered Mastrena II espresso makers” to bring consistency to the coffee-making process.

넷플릭스

적용방법: 개인화

AI Marketing Outcome: 80%의 공연 관람은 개인 추천 기준입니다.

넷플릭스는 세계 최대의 엔터테인먼트 콘텐츠 플랫폼이다. 하지만 사람들은 단지 모든 유형의 콘텐츠를 보기 위해 구독하는 것은 아닙니다. 사용자마다 고유한 선호도가 있으며 대량으로 뛰어드는 것을 원하지 않습니다.

For this reason, Netflix tried to give a personalized user experience. They utilize an AI-driven machine learning technology to show content based on individual choices. This technology works with the historical data of existing subscribers watching. It helps them to create a viewer persona, which helps them to develop personalized experiences for individual users. 

이러한 노력은 긍정적인 영향을 미쳐 개인 추천으로 80%의 쇼를 시청하게 되었습니다.

당신에게로!

이제 AI의 도움으로 마케팅 전략을 다시 생각해 볼 때입니다. 그러나 교과서의 예시처럼 모든 것이 충분하지는 않은 것도 사실이다. 

You will find hurdles while taking your marketing in the age of AI. We have to understand this AI is still in the development process. However, human hands can help you overcome all the challenges.