Marketing. Data. Science.

Improving marketing results through superior technology.

Marketing Data Science

Customer Identification

Matchbox.io utilizes advanced algorithms and the science of natural language to accurately match and append customer data. Accurate Customer Identification is usually a first step in any marketing effort.

Machine Learning

Many marketers are just beginning to realize what the power of Machine Learning can do for their marketing efforts. At Matchbox.io, we are experts and harnessing the power of machine learning for consumer marketers, associations and political candidates.

Consulting

Our services don't end with our technology products. We have a consulting practice that includes database design, development and reporting

Data Science & Analytics

We know marketing analytics and take pride in utilizing both proven techniques and finding new ways to make your marketing initiatives successful.

Data Enhancement & Enrichment

Marketing technology is drive by data and we are experts with data. From building database to enriching you existing data with appends, we have a solution for you.

Reporting & Visualization

We understand exactly what information is important to marketing and present it in an easy to understand manner.

240M Consumers

120M Households

17M Businesses

What Sets Us Apart

1

We Listen

Although we are a technology company, we don't believe our core competency is technology at all. The power of listening is our most important asset. There is no technical solution for poor communication, so we start with listening and understanding your marketing needs.

2

We Are a Team of Experts

Our team is made up of experts who have spent their careers in Data Marketing. It's safe to say that there isn't a marketing technology problem that we haven't encountered.

3

We Are Marketing Innovators

We have a passion for technology. But technology is ever changing and so to are our skills. We pride ourselves in not only staying on top of this ever-changing landscape, but also knowing when to apply the newest technologies, or simply stick with what has worked in the past.

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