AI時代のマーケティングの未来とは？

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.

人工知能 (AI) は最先端のマーケティング戦略の中核であり、組織を顧客エンゲージメント、パーソナライズされたコンテンツの作成、データに基づいた意思決定の次の段階に導きます。

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.

• について 76% の marketers use AI-generated content コピーライティングやその他の基本的なコンテンツについて。
• ほとんど 63% of marketers find AI helpful in analyzing market data.
• 平 62% of marketers are generating marketing visual creatives with AI.
• また、 71% マーケティング専門家の % が、創造的思考のサポートを受けていると回答しています。

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

Salesforceの調査レポートを見ると、 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 週数時間。

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

朗報です！ AI ベースのマーケティングの時代において、消費者も前向きな判断を示しています。による最近の調査 キャップジェミニ研究所 それについて見つけた 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 顧客中心のマーケティング戦略.

したがって、この継続的な傾向を見ると、マーケティングは次のような課題に直面していると断言できます。 大きな転換点 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, 自然言語処理 (NLP)、機械学習 (ML) など、 ワークフローを自動化する 顧客に対する正確な洞察を提供します 正確な意思決定をする.

Further, AI not only helps you with what you are doing, but it also identifies what you are マーケティング目標を達成できていない.

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.

データの品質と正確性

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, ただし、それが役立つのは、目的にかなう場合のみです。効率的なデータ管理を実践せずにただ作業を続けると、不適切で乱雑なデータ セットが完成するだけです。 

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

不明確な目標

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.

マーケティングのコンテキストを理解する

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 彼らの常識に従ってください。 

既存のマーケティング戦略への統合

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.

マーケターの専門知識が不足している

Although many marketers are using AI extensively for various purposes there is still この進歩を利用していない大規模なグループ。すでにマーケティング活動にそれを取り入れている人でも、まだそれを 100% 実現するには程遠いです。 

そして、これは AI を使用するスキルが不足しているために起こっています。もう 1 つの不幸は、人工知能と機械学習の時代におけるデジタル マーケティング業界専用のトレーニングと学習教材が十分にないことです。

偏見と倫理的懸念

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.

データのプライバシーとセキュリティ: 

AI drives marketers to build personalization in their campaigns. 

AI を活用したパーソナライゼーションのためのデータ収集と分析では、プライバシーの問題が生じます。マーケティング担当者は、GDPR を含むデータ保護規制を遵守し、顧客データを安全に取り扱う必要があります。

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.

パーソナライズされたコンテンツを提供する

最高のマーケティング キャンペーン 適切なタイミングで適切なメッセージを提示する あなたの顧客へ。 マーケティングコンテンツのパーソナライズ based on customer preferences and behaviors can significantly boost customer engagement. AI-based solutions can データ駆動型の方法でカスタマージャーニーを分析する そして、彼らの興味やニーズを見つけ出します。これは、解約率の削減にも役立ちます。

対象顧客の細分化

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. 

新しいマーケティング チャネルを見つける

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.

予測分析

将来のトレンドと消費者の行動を予測することで、競合他社よりも優位に立つことができます。マーケターとして、 それは大きなプラスです. 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.

リアルタイムのデータ分析にアクセスする

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.

ワークフローの自動化と合理化

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 他の戦略的決定により多くの時間と労力を費やします。

意思決定の強化

意思決定に時間がかかると、問題に遭遇する可能性が低くなります。最も重要なことは、感情的な欠陥を生じることなく混乱を解決するためのデータ リソースを手に入れることができるということです。たとえば、マーケティング担当者に今後のマーケティング戦略のすべてのデータを常に知らせることで、予算を割り当てる際の効率が向上します。

Reskilling the Marketers for the AI Revolution

時間とともに、 AI 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.

実際には、 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.

同等の価値を確保する

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.

従来のトレーニングを再設計する

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.

このため、既存のトレーニング モジュールを変更して、AI アプリケーションがマーケティング戦略の各ステップをどのように強化できるかを従業員に教える必要があります。

教育機関との提携

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.

将来性を保証

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

では実際に実践してみましょう。 AI 時代におけるマーケティングの一般的な実践例をいくつかリストアップしました。これらの実践は、現在のシナリオをさらに深く理解するのに役立ちます。

Content Marketing in the Age of A私

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 コンテンツ作成ワークフローを自動化する. 

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 ワンクリックブログジェネレーター feature of GetGenie AI you can craft an entire blog within seconds.

Social Media Marketing in the Age of A私

ブランドの強力な存在感を確立したい場合は、 ソーシャルメディア, 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. 

満足しています 専用テンプレート GetGenie によるさまざまなソーシャル サイト向け。当社のソーシャル メディア チームは、絵文字も含めた投稿用の魅力的なコピーを簡単に作成できます。

Email Marketing in the Age of A私

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.

また、電子メール キャンペーンのリアルタイム分析を監視することで、常に最新情報を得ることができます。これらのレポートに続いて、電子メール キャンペーンを再構築します。

Video Marketing in the Age of A私

動画マーケティングは、マーケターにとって最も難しいタスクの 1 つです。それには、アイデア出し、脚本執筆、ビデオ編集、ビデオ制作、ナレーションなどが含まれます。また、ビデオ キャンペーンの実行にはポストプロダクション作業も多く含まれます。

人工知能は全体を合理化できる ビデオマーケティング プロセス。最近ではAIライティングの使用 ビデオスクリプトを生成するツール 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.

フォルクスワーゲン

応用法: 予測分析

AI Marketing Outcome: フォルクスワーゲン ディーラーからの 20% による売上の増加。

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.

スターバックス

応用法: AI Voice Search (Amazon’s Alexa)

AI Marketing Outcome: 3,120 万人のモバイル顧客にリーチします。

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.

彼らの目標は、顧客が音声またはチャットボットを使用してカスタム注文をしたり、受け取り場所を設定したりできる柔軟性を確保することでした。 Amazon の Alexa のサポートにより、同社は 3,120 万人のモバイル顧客にリーチすることができました。

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.

Netflix

応用法: パーソナライゼーション

AI Marketing Outcome: 80%の番組視聴は個人的な推奨に基づいています。

Netflix は世界最大のエンターテイメント コンテンツ プラットフォームです。しかし、人々はあらゆる種類のコンテンツを視聴するためだけに登録しているわけではありません。ユーザーにはそれぞれ独自の好みがあり、一斉に飛びつくことは望ましくありません。

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. 

この取り組みはプラスの影響を及ぼし、80% の番組が個人的な推奨によって視聴されるようになりました。

あなたに！

今こそ、AI の助けを借りてマーケティング戦略を再考するときです。しかし、教科書の例のようにすべてが十分ではないのも事実です。 

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.