Machine learning has impacted the marketing profession in countless ways. A few months ago, I discussed the ways that Moz uses machine learning to develop its domain authority metrics, which is one of the best approximations of a website’s ability to rank in Google. However, there are other applications of machine learning in marketing that are much more prevalent, such as logo development.
A growing number of entrepreneurs are realizing that machine learning is incredibly valuable for developing logos. One entrepreneur wrote a post on Indie Hackers about their own logo generator. The author pointed out that machine learning enabled them to create high-quality logos much more quickly than users could make them with Photoshop or other graphic design tools. Due to the innovativeness of their logo generator, they were able to earn $70,000 a month from it. Other companies like Oberlo have developed an even more impressive logo creator online.
How do entrepreneurs use Machine learning to develop logo generators?
Machine learning makes it quicker and easier to develop high-quality logos. Here are some of the key benefits that machine learning loco generation tools have to offer.
They use historical user data to create better base images
In 2016, Fast Company published an article about one of the first logo generators that used machine learning. They pointed out that these logo generators use both a base image and an accent element.
When users select an image, the tools make a note of their choice. If the same underlying images are frequently selected, the logo generator learns that it should present more images like them. They will eventually remove all types of images that almost no users select. They will also know that they need to increase the database of images that are most in demand.
Users don’t need to do the heavy lifting one coming up with design elements
Logo generators are able to present a myriad of options to their users. With traditional logo design tools like Photoshop, the user needs to select the images themselves. They need to do a lot of trial and error to tweak them with different colors, shades and filters. This can take a long time, because they don’t realize how the image would look like until it was modified.
The process is much quicker with logo generators. They automatically syndicate a number of images. They can even compare and contrast a dozen or more base designs at once. Since the process is mostly automated, they don’t need to spend nearly as much work and can get them completed more quickly.
Machine learning can account for various designed factors
Logo generators that use machine learning tend to rely on user selection as the basis for future designs. In theory, this sounds like a flawless approach. The problem is that a number of factors can affect their choices. While certain images and color choices might be ideal for the majority of companies around the world, some countries and industries may deviate from the status quo.
The good news is that machine learning algorithms are able to factor for this. When you use a logo generator that relies on these algorithms, it almost always asks what industry you are in. This helps the logo generator figure out what types of images, colors and other design elements are preferred by brands and different types of companies.
They can also account for cultural differences. Some loco generators are already asking users to indicate the region that their company is based, so they can customize design elements around it.
Machine Learning is the Future of Logo Design
Countless factors need to be taken into account when designing a logo. This is why developing quality logos from scratch can be so tedious and difficult. Machine learning is revamping the process and making it faster, cheaper and more adaptable than ever.