How to Automate Ad Creative Production: 5 AI Use Cases

Tired of inefficient ad creative production? Wouldn't you love to automate the work?

Creating and revising ad creatives for every shopping mall and social channel is one of the biggest burdens on a marketing team. Many companies use the methods below to tackle this problem, but each comes with its own issues.

1) Hiring interns: The labor and management costs from recruiting to training are far from trivial. On top of that, every time an intern is replaced, you have to train and manage them from scratch all over again.

2) Using internal staff: Instead of more important planning or strategic work, their time gets eaten up by simple, repetitive production tasks.

3) Design agencies: Even a single small revision requires communication, takes longer than expected, and the quality is hard to guarantee.

So in this article, we'll share 5 success stories of automating ad creative production with AI".

You'll see how many consumer-goods companies have used AI to streamline and improve their ad creative production.

✅ Highlights

• Companies currently handle ad creative production through intern hiring, internal staff, or design agencies—but all of these are inefficient.

• Automating ad creative production with AI lets you eliminate inefficient production work.

• To automate ad creative production, you need a systematic approach in 3 steps (assess the workload share, identify the required quality, and select the tasks to replace).

• With AI, you can automatically create and review banners that match the ad guidelines of each platform, such as Naver, Coupang, and Kakao.

• From a single piece of ad content, you can mass-produce a wide variety of test banners with AI to find the best-performing one.

• Copywriting, background removal, and even natural background generation are all possible with AI.

Get started on automating ad creative production in 3 steps!

Automating ad creative production with AI requires systematic planning and a step-by-step approach.

1) Assess the workload share

First, get a clear picture of the overall share and distribution of the ad creative production work currently in progress.

• Classify the types of work.

• Check the distribution of those tasks.

• Review the share and importance of each task.

  • How often you create and revise them

  • Which parts take up the most time

2) Identify the required quality

Sort the work into high, medium, and low tiers based on the level of quality required.

This may vary from company to company, but let's classify it using some representative criteria.

• High: Own-mall brand pages, product detail pages (PDP)

• Medium: Display ads for each platform, event and promotion banners

• Low: Set-product banners, benefit and purchase-driving banners

Whether a task can be replaced by an AI solution is largely determined by the required quality level.

Deciding whether an AI solution can replace a task is far more accurate with help from an expert.

3) Select the tasks to replace

Now, choose the tasks to replace with AI and kick off the project.

Summary

• Break the actual work down into small, detailed tasks

• Assess the workload share

• Identify the required quality (technical difficulty)

• Select the detailed tasks to adopt first

For more details, please refer to AI Work Automation Guide: Easy Tasks, Hard Tasks, Real Cases, and a Checklist"

5 Cases of Automating Ad Creative Production with AI

Case 1) Creating benefit and purchase-amount banners

This is a project that creates variations of benefit and purchase-amount banners.

• Goal: Process images to fit the size of the benefit and purchase-amount banner, and automatically place the most fitting text font and position to produce the final result.

• Input: Enter inputs such as 'image,' 'product name,' 'main product,' and 'free gift' into the AI.

• Output: The AI rearranges the font, size, and position of various product details to automatically create banners that follow the manual.

Case 2) Creating set-product banners and event & promotion banners

This is a project for creating set-product banners and promotion banners made up of bundles of various products.

• Goal: Automatically place sizes and positions at their optimal values so the bundled products are arranged naturally, producing the final result.

• Input: Logo image, main-product image, promotional image, free-gift image

• Output: The AI rearranges multiple image assets to fit size variations and templates, automatically creating bundle-deal banners.

Case 3) Creating and reviewing display ad banners for each platform

This is a project that automatically creates and reviews banners according to the display ad guidelines of various platforms.

• Goal: The main task is to optimize the placement of elements within an image and automatically convert it to the size that matches each platform's display guidelines.

• Ad platforms: Kakao Bizboard, Naver GFA, Coupang, Google GDN, Meta Ads, and more

• E-commerce platforms: Coupang, Ohou, SSG, Gmarket, Naver Shopping, Kakao Shopping, Lotte On, and more

Automatic review

The AI can also automatically review content against production guidelines.

Case 4) Mass-producing optimized display ad banners

This is a project that produces as many test banners as possible to find out which display ad banners will perform best.

• Goal: Select one piece of content. Apply that content to a variety of templates and generate as many versions as possible with AI.

• Features provided: Fixed image & text variation, fixed text & image variation, text & image variation

Case 5) Using the image editor (editing copywriting and generated background results / background removal)

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Editing AI-generated copywriting

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Natural AI background generation

This is a project that uses the image editor to modify generated AI images into the format you want. You can edit the AI-generated copywriting and background results. You can also easily remove backgrounds with a single click.

• Goal: Edit generated AI images into the desired form and put them to use.

• Features provided: Background removal, editing of AI-generated results (copywriting, backgrounds)

Wrapping up...

So far, we've covered the approach to automating the ad creative production process with AI, along with real-world cases.

Curious whether your company's ad creative production could be automated with AI, too?

Leave an inquiry below and get a consultation.

We'll build a custom marketing AI solution tailored to your company's characteristics and needs.

For those who apply for a consultation, we'll share the cases below.
(1) Insights gained from collaborating with the ad agency Daehong Communications
(2) Collaboration cases with major commerce companies

Apply for a marketing AI solution

You can also read more about the collaboration between Dalpha and Daehong Communications in the blog post below!