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30 Fabulous Companies of the Year 2022

Find, Understand and Act On Data at Scale with Intuizi

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Every day millions of consumers interact with the apps on their phones, generating vast amounts of data. Based out of Orlando, Florida, Intuizi helps businesses legally find, understand, and act on this data to drive their business results. It helps brands determine where their loyalty members shop when they are not shopping with them. The company also helps enhance loyalty data with additional data like locations visited, interests and apps downloaded. They also help find out what competitor apps a brand's customers use. In short, Intuizi's intelligence platform helps understand brands better and act on mobile data.

Intuizi was founded in 2019 by experienced marketing and technology professionals to build an easy-to-use subscription software solution that could be used to improve media campaigns, could improve an enterprise's understanding of its customers and potential customers, and significantly improve the financial returns on digital spend.

We recently interviewed Ron Donaire, Co-founder and CEO of Intuizi, to know more about the company. In the brief interview, the CEO spoke about the challenges faced by Intuizi initially and more. Read on for the excerpts from the interview.

Q. What was the aim of Intuizi when it began its journey?

From the beginning, we wanted to build a data solution that was based on user-consent (and complied with GDPR and CCPA), would not be or feel creepy, and would get better financial results for publishers and advertisers alike. We wanted a solution that would fit within the existing workflow so that it could be used in conjunction with a client’s current DSP, SSP, DMP, CMP, etc., not replace them. We wanted to be able to see any data set and compare it with any other(s) on a public or private basis. We also wanted to build a platform where you could see for yourself whether somebody else’s data was useful. Lastly, we wanted to build a solution that would be just as valuable outside of the marketing industry. 

As we build out the Intuizi Platform, we are tackling big problems in data aggregation, processing, and display. We already provide the most cost-effective way to improve ROAS for digital campaigns and we get better every Signal Provider and Client we add. We are now preparing our platform for use outside of marketing for things like research, community services, and health care and wellness.  

Q. What challenges did you face in your initial years? What can your peers learn from it?

We started the business in September 2019 not knowing that COVID-19 was right around the corner. When COVID hit in early 2020, it was a shock at first. Thinking back on it, now it may have been a blessing. While other companies were laying off employees, we were able to build out our technology stack and get a few early paying customers on trials to help us hone our core product offering. We were not under as much pressure to grow sales because we were building the product from the ground up.

Q. How do you recruit the right talents for maintaining the quality of your service?

We have a distributed workforce that sits in every time zone between Los Angeles and Tel Aviv. We are big believers in empowering our employees and making our success equivalent. We provide generous stock options, permanent work from home status, and a very competitive salary.

Q. A Change Intelligence Platform must provide competitive edge to the customers. How do you gain insights to keep your clients ahead of the curve?

We setup the company with the premise that good data generates good results. Our compute layer allows us to see more information and discard the less qualified data from its decisioning. Close to 90% of all data is removed from the platform after cross-comparison across sources. The refined work product we produce has a deterministic efficacy that allows customers to sell more, know more, and act quicker.

Q. Experts predict that failure of trusted algorithms is bound to happen. How can you make your solution foolproof?

Our system is deterministic, which means that instead of modeling via algorithms we use a significant computation power to make deterministic links of anonymous data points. This provides a backbone across multiple data sources and a cross-reference against multiple data sets.

Q. What would you say are the top three skills needed to be a successful CEO?

To be successful CEO, you need the ability to guide the team with strong leadership, crystal clear communication so that teammates understand what is expected, and the ability to manage different personalities to get the right people doing the right tasks to grow the business.

Q. How do you market your services?

Currently, we are doing LinkedIn outreach campaigns, social media posting, and SEO, but the majority of our new business is from referrals.

Q. Do you have any new services ready to be launched?

We are currently expanding our efforts into new countries in the EU and are taking our demographic data sets and credit card transaction data sets out of beta.

Q. What does the future hold for your company and its customers? Are exciting things on the way?

As a young organization, we believe that every day is a new adventure with ideas of new applications and how it can impact our customers. We think that 2022 is going to be very exciting for us with the release and improvement of existing features as we get more feedback from our customers.

About the Leader

Ron Donaire, Co-founder and CEO

Ron is an experienced organization leader with a demonstrated history of working in a wide range of industries such as Marketing, Information Technology and Food Distribution. He is a strong professional skilled in Digital Strategy, e-Commerce, Customer Acquisition, Programmatic Advertising, Media Buying, Artificial Intelligence, Machine Learning, and Deep Learning. Few CEOs can claim to have designed every part of the servers that power the business, have written the base code of their product and guide their business efforts to continued success.

"We setup the company with the premise that good data generates good results."