5 AI Solutions Marketing Companies Use Most Often
This post will be helpful for people like you
- Those in marketing teams thinking about efficient content creation and data analysis
- Marketers struggling with complex work while managing various social media and ad channels
- Companies that want to adopt AI solutions to automate ad-budget optimization and performance measurement
Here's what this post covers
- We introduce efficient marketing workflows using AI solutions, such as copywriting and SNS caption generation
- We explain how to automate ad-performance reports and budget optimization with AI, and the benefits it brings
- We explain the advantages of custom AI over open-source AI, and how you can gain greater efficiency in marketing work
Why Marketing Companies Use AI
"The original content is the same, but editing it to fit each SNS format is such a hassle…"
"It would be great if I could just enter keywords and get copy that fits the template…"
"Where do I even start with ad-performance measurement and optimization? Am I doing this right…?"
These are thoughts that come up when you do marketing work. When you're juggling so many tasks—customer data analysis, content creation, SNS channel management, ad-performance analysis—it can get overwhelming. That nagging thought: 'There must be an easier way…' After meeting with startups, large enterprises, and Korea's TOP 5 marketing agencies, we found they all shared the same concernthey were facing.
The cause was the complexity of managing multiple channels.With the spread of SNS platforms like Instagram, YouTube, X (Twitter), and KakaoTalk, and the growth of digital advertising, there are now too many channels to manage—Google, Meta, Naver, and more. You can't overlook your own app and website either.
As a result, handling content and datain marketing work has become difficult. First, the amount of content being produced has grown. That's because each SNS platform and ad channel has a different format and tone and manner. There's the hassle of producing multiple pieces of content from the same source material.
Data for understanding customers has also become harder to analyze. Beyond its sheer volume, the data format differs by channel. On top of that, 80–90% of the data is unstructured—text, images, audio, and so on—which is hard to evaluate and analyze, making it even more challenging.
In this situation, the arrival of AI can spark innovation in marketing. Two of the things AI does best are 'content creation' and 'data analysis.' In this post, we share 5 AI solutions that help marketing companies analyze data effectively and create content productivelyusing AI.
5 Marketing AI Solutions
Marketing AI Solution 1 – Writing Copy
Business Goal
You need to write copy for your products and services. Copywriting is needed for a wide range of content—ad creative, your homepage, product pages, and more.
Problem
Having people squeeze out creativity to write every piece of copy is inefficient. The truth is, most copywriting is done as a process. Once a company's brand guidelines and tone and manner are set, copy is written according to the characteristics of each channel and medium. Copy is essentially produced like a template. AI can do this better than a person.
Solution (AI Solution)
You can set the character count, required keywords, the tone of the message, and more, and have AI write the copy.
Custom AI Point
Compared to open-source AI, it can write copy that reflects your brand guidelines and requirements.
It can write copy that takes into account the characteristics of your business or industry. You can train it to write copy specialized for specific terminology, customer preferences, and your competitive market.
Open-source AI tends to reuse the exact words or expressions entered in the input. Custom AI can make up for this.
Marketing AI Solution 2 – SNS Caption Generation
Business Goal
Marketing teams run multiple SNS channels to broaden touchpoints with customers and build relationships. In this process, they need to generate captions suited to the characteristics of each SNS.
Problem
Since each SNS has a different format and tone and manner, you have to write individually for each. Doing this manually one by one is inefficient. Rather than requiring tremendous creativity, it's productive work that polishes the original content. Writing text according to such constraints and settings is more efficient with AI in terms of both time and cost.
Solution (AI Solution)
Have AI write captions that fit the character limits of Instagram, Shorts, and Facebook. You can also set where the hook needs to go for each medium, enabling caption generation tailored to each medium's characteristics.
Custom AI Point
Customization settings are available for each SNS platform. You can fine-tune the detailed settings that need to be configured for each SNS.
It can write captions that take into account the characteristics of your business or industry. You can generate captions specialized for specific terminology, customer preferences, and your competitive market.
It doesn't reuse the exact words or expressions entered in the input. Continuous optimization is possible based on feedback and performance.
Marketing AI Solution 3 – Blog Content Generation
Business Goal
Marketing teams run their own blogs for a variety of purposes—content that interests customers, branding, recruiting, and more. Blog content is an important means of attracting customers and leaving an impression of your company on those who arrive.
Problem
Having people write everything from start to finish at both the planning and production stages of blog content takes a lot of time and money. Much like with copy and captions, AI can partially enable an efficient process.
Solution (AI Solution)
AI can help with high-search-volume keywords, topic selection using those keywords, paragraph structures that read well, and more. Much blog content is informational, which means it deals with structured content. So with AI's help on the purpose and structure of your content, you can write content efficiently.
Custom AI Point
It can plan content that reflects your brand guidelines and tone and manner. Through continuous learning, you can get help planning content that maintains a consistent brand voice.
It can plan and generate content that takes into account the characteristics of your business or industry. You can plan and produce content based on recommendations like competitor content analysis and customer-preferred keywords.
It can review content—optimizing paragraph structure to fit the format, organizing information, and more. Reviewing content to meet your company's requirements becomes easier.
Marketing AI Solution 4 – Ad-Performance Report Generation
Business Goal
Marketing teams want to acquire customers by running ad channels. However, if you don't measure performance against ad efficiency and consider cost justification, this can lead to serious losses. To run ads efficiently, you need ad-performance reports.
Problem
Organizing and evaluating the data needed to measure performance is difficult. The amount of data pulled from various ad media is large, and the formats differ. Because this data is numerical, it offers poor visibility when it comes to deriving insights.
Solution (AI Solution)
AI can process the vast amounts of listed data and quickly derive insights based on your criteria. It can also quickly find the data that serves as the basis for those insights. This is how AI is used to generate ad-performance reports.
Custom AI Point
By continuously training it on your ad-execution history, you can generate efficient ad-performance reports.
It can learn ad data from multiple media that changes in real time.
By also using internal data such as internal promotions, issues, and per-product sales cycles, you can generate ad-performance reports even more precisely.
Marketing AI Solution 5 – Ad-Budget Optimization (Marketing Mix Model)
Business Goal
Based on ad-performance reports, you need to optimize your ad budget. This includes not only reducing costs but also growing revenue performance. Both ways of cutting costs and ways of using costs effectively to acquire customers fall under ad-budget optimization.
Problem
To evaluate ad-budget optimization, you have to process and examine a lot of data. First, you need to gather the scattered data from multiple ad channels like Google, Naver, and Meta. You have to compare and measure the performance of each channel. Then you have to judge budget optimization while considering a variety of criteria.
Solution (AI Solution)
AI is highly efficient at complex calculations and processing large-scale data. It can also compare performance across channels and propose an optimized budget plan.
Custom AI Point
By continuously training it on your ad-execution history, you can efficiently optimize your ad budget.
It can learn ad data from multiple media that changes in real time and compare performance.
By also using internal data such as internal promotions, issues, and per-product sales cycles, you can optimize your ad budget even more precisely.
Are you a marketing company considering AI development…?
So far, we've looked at 5 AI solutions that marketing companies often use. Many marketing companies use AI solutions, but finding the one that fits your company perfectly isn't easy. Since they're prebuilt solutions, you have to put up with little inconveniences as you use them.
Dalpha provides custom AI that takes your company's situation and workflow into account. Many marketing companies—Korea's TOP 5 marketing agencies, BIG 7 large enterprises, the marketing team of commerce company V, and more—are using Dalpha's solutions. Over 150 enterprise clients are developing AI with Dalpha.
Are you a marketing company that wants to develop AI perfectly suited to your business?
Get a free consultation from Dalpha.
Our expert AI consultants will work with you to figure out the AI that's right for your company?
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