IDS Case Study: Optimizing Digital Results Through Machine Learning

By Keiter Technologies

IDS Case Study: Optimizing Digital Results Through Machine Learning

Can I Use AI to Make Customer Specific Advertisements?

Data Science can help you achieve your business goals with tailored advice specific to your organization. Learn more about how Keiter Data Solutions solved a similar problem for one of our clients in the below case study.


Challenge and Opportunity

As a Keiter Technologies client, an ad agency wanted to optimize the results of its digital advertising strategy for clients while reducing man hours.


Our Approach

  • Converting sales through digital advertising takes enormous resources because of the nature of each customers’ unique tastes or triggers.
  • Our team developed a tool that would use a historical copy of data to optimize digital ads based on viewers’ preferences. This included changing text, color scheme, photography or imagery, and other characteristics.
  • Then the tool ran continuous experiments sending the ads to various demographics. 80% of the recipients were from a targeted market based on preferences the last 20% were a random sample from another market. This was used to target new markets and help automate demographic selection.


The optimization tool yielded results which were four times greater than the agency had previously secured for clients.


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About the Author

Keiter Technologies

Keiter Technologies

Keiter Technologies focuses on serving businesses with their strategic technology needs through data science, cybersecurity, and IT audit and consulting.

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The information contained within this article is provided for informational purposes only and is current as of the date published. Online readers are advised not to act upon this information without seeking the service of a professional accountant, as this article is not a substitute for obtaining accounting, tax, or financial advice from a professional accountant.


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