Generative AI in Marketing: Is it Truly Effective in Marketing?

I've been pondering a topic for quite some time. Regardless of the advertising platform, creating content for advertising is an incredibly lengthy process. Consistent and accurate data are essential for producing the right text and visuals, and these data must align with the dynamics of the platform.

An ad created for Google Ads doesn't yield the same results on Meta Ads. Similarly, using Magfi Ads for advertising on Telegram and Discord doesn't produce the same outcomes. This is because the platforms are different, their users are different, and the places where ads are displayed are different... So, could a software program, armed with knowledge of all these dynamics and access to far more data than a human, not create the best ad content?

To answer this question, we need to prove it scientifically. Here's a brief summary of the findings and results we've discovered at Magfi Ads.

What is generative AI?

Generative AI refers to artificial intelligence models that can create and produce new products using specific datasets. These models continuously learn from the data and evolve to generate new content. You have likely encountered a TikTok video or Instagram Reels narrated by artificial intelligence. If you haven't, you probably just think you haven't. This is because generative AIs now produce incredibly realistic results. Their goal is not to create superhuman content, but rather content that resembles human creation.

What is Magfi Ads?

Magfi Ads is an advertising platform that allows for simultaneous ad placements on Telegram and Discord. Community owners on Telegram and Discord can now monetize their groups. After defining their communities in the Magfi Ads mobile app, our bot begins to analyze these communities and shares ads suitable for them. Subsequently, the community owner earns revenue from these ads. Advertisers, on the other hand, can place ads in communities that exactly match their target audience. These ads can be for reach, traffic, or conversions. All these processes are supported by machine learning technologies, and the algorithm is improved daily to match ads with the most appropriate community through an "matching algorithm."

Advertisers can launch their campaigns in a self-service manner via business.magfiads.com, which has a similar interface to Google Ads, Meta Business, and TikTok Business. Magfi Ads requires advertisers to focus on three main sections:

1. Campaign 1.1 Campaign Objective 1.2 Campaign Settings
2. Ad Group 2.1 Targeting 2.2 Budget and Schedule
3. Ad Content 3.1 Ad Detail 3.2 Summary

Creating Advertising Creatives with Generative Artificial Intelligence

Normally in Magfi Ads, the advertiser needs to have pre-produced their content and must create their ad in the "ad detail" section.

However, we noticed that no matter how large the brand, they struggle with content creation, or even if they don't struggle, they fail to produce ad content suitable for the platform. For example, when placing an ad on Telegram, a brand might use content designed for Google Ads banners, resulting in a poor user experience. Similarly, using an image suitable for Instagram story ads in a Discord ad often leads to disappointing results.

Let's now look at the data we have:

Advertisement visuals:

• Colors used in the visuals (vibrant or neutral? etc.)
• Expressions used in the visuals ("sale", presence of numbers, etc.)

Ad texts:

• Character count of the text
• Emphasis in the texts
• Use of emojis

Call to action (CTA):

• Character count of button texts
• Most commonly used CTA buttons

Target audiences of the ads:

• Which sector's ad was shared with which community?

Ad outcomes:

• How much did users interact with the ad?
• What is the click-through rate (CTR)?

Now, with this and even more data, can't we understand which types of content yield the best results? Certainly, we can make inferences like this:

For this community, in this sector, and particularly for this brand, visuals with these colors and containing these elements, along with texts of this length, engage more effectively.

Given that we have so much information and can make such deductions, it becomes quite simple to have an artificial intelligence prepare ad content.

Consequently, we quickly implemented a development where the content of the advertisement is created by generative AI in response to specific directives, and the results were astounding.

Below are examples of ad visuals created by artificial intelligence.

Notable observations:

• Uses vibrant colors.
• Minimal text usage.
• In the second image, an icon is used to emphasize that the ad is specific to Telegram.

Alright. The ad visuals generated by generative AI look good at first glance, but do they yield effective results? Here we have an advertisement entirely prepared by generative AI and its results:

A community focused on TV series and movie content is promoting itself. This includes an advertisement completely created by AI.

The purpose of this ad is to gain subscribers. While a standard content-generated ad attracted 2,170 subscribers, the AI-generated ad brought in 15,500 subscribers. That's almost 7 times better results!

Results

• Producing content based on data often yields better results.
• When creating ad content, the dynamics of the platform must definitely be considered.
• In Magfi Ads, ads generated by AI show an average increase in conversions by 5 times.
• Texts created by AI can deviate from naturalness. However, the visuals become very professional and attractive. Therefore, it's crucial to provide the most accurate prompts for the texts.

If you also want to advertise simultaneously in Discord and Telegram communities and engage in performance marketing, you can immediately start an ad campaign by visiting business.magfiads.com and experience Magfi Ads. We believe and know that your conversions and ROI will increase incredibly.