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3 Case Studies of SMBs Using AI for Marketing

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Artificial intelligence is proving itself to be a key ingredient of modern business. 

As the internet and improvements in technology increase globalization, AI becomes the best way of handling expanding markets for small and medium-sized businesses.

We’re dealing with an influx of data from all kinds of digital marketing, and improper analysis and use of such data can lead to a smaller company falling behind. 

One of AI’s main goals is to automate repetitive tasks.

Think of anything in your business that takes up a lot of time, and while important, it maybe isn’t central to your operation.

AI may exist that is meant to solve that regular task and do it for you. Businesses that utilize such software are then able to focus on more critical responsibilities that require a human touch. 

AI algorithms are driven by data. Conversion rates, market statistics, and written content run through the algorithm and create output. 

Since AI is driven by data, it’s also backed by data. 

AI produces useful information that outlines exactly how and where the software is making an effect. If you’re hesitant to implement artificial intelligence for small business, consider the following case studies. 

rasa.io: Agency Pure

rasa.io helps businesses create extremely effective customized email marketing campaigns.

By analyzing email marketing data, such as click-through rates, open rates, topic, and source trends, the rasa.io algorithm can customize email newsletters to appeal to individual recipients. 

Agency Pure is a full-service advertising agency that uses rasa.io to communicate effectively with clients. Before rasa.io, Agency Pure was sending less than exciting email newsletters to its email list. 

Leadership didn’t see the benefit in putting in a lot of effort towards email marketing due to market oversaturation and a fear of coming off insincere to clients.

They just didn’t have the time to put in the work needed for effective email marketing campaigns.

The rasa.io platform was able to create email newsletters with customized content based on the interests and engagement of each individual recipient. 

Agency Pure understands the value of such a personalized marketing strategy but never had the time to focus on such detailed data analysis (frankly, it would be impossible to do manually).

With rasa.io, that process happens automatically.

And, as if the automation and customization weren’t a benefit enough, almost immediately after launching their newsletter, the open and click rates grew (and continue to grow) for the agency. 

Learn more in this case study.

Pattern89: ad-flex communications

Pattern89 is AI that takes the guesswork out of advertising campaigns on Facebook and Instagram.

The company's algorithms analyze your planned advertising creative across 49,000 different dimensions to predict how it will perform.

ad-flex communications is a marketing agency that utilized all three of Pattern89’s solutions (namely, Analyze, Predict and Optimize) on one campaign and compared those results to those of a second, unassisted marketing campaign. 

Over a two-week period, both ads ran online and the Pattern89 campaign was consistently adjusted and modified automatically to account for market changes. 

The results: the AI-assisted campaign did drastically better overall.

With 81% lower costs per result, 439% higher conversion with an equal spend, and 11% more impressions, the Pattern89 campaign was the clear winner.

Human analysis of historic market research was no match for the data-driven insights and consistent optimization of Pattern89’s AI, proving that the algorithm does its job.

Learn more in this case study.

Copy.ai: Fringe

Need help with basic content?

Copy.ai generates copy for everything from Instagram captions to product descriptions to Facebook ad copy to landing page text.

The way it works is the user enters their own company or brand name along with a short description of it to give the algorithm a sense of what it’s writing about, and the platform spits out whatever type of content the user is looking for. 

The owner of Fringe, a small brand design company, didn’t think his team needed help from a company like Copy.ai.

After his first use, he realized that the Copy.ai algorithm was actually a lot more useful than he originally expected.

He was able to generate rows of copy for both his clients’ brands as well as his own, and he solved instances of writer’s block that he and his team had been dealing with for months or years. 

Copy.ai’s online platform provides businesses with content inspiration when they need it most, and it does so by analyzing real-time data online.

As with the other two AI platforms we mentioned above, Copy.ai does a great job of eliminating the busy work that distracts us from the greater tasks at hand.

So why wait?

It's never been easier to apply AI to your business today. 

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