DataTurk.ai

Your home services company’s value is determined by two things:

1.  customer relationships, and
2.  business systems that convert customers to profits. 

Business owners add an emotional attachment to their evaluations. Bank accounts are unemotional, and acquirers coldly consider investing based only on potential returns. Customers and systems dictate those returns.

The most valuable companies reward their owners with rich cash flow even when they aren’t working. Increasing the value of your business is not only about selling. Managing your business is what you do when you work ‘in’ it. Working ‘on’ your business is investing time so your business can be better tomorrow. If you’re self-employed, working in your business is what you do. Working ‘on’ your business is how you build value in your company.

When business systems aren’t working right, owners compensate by working in the business, rather than on it. Without realizing it, these owners work longer for less profit while their “sweat” builds zero equity for the company. Learning to see the value of their own company through the eyes of an outside buyer is how to break out of this trap — even if you don’t want to sell.

An acquirer always values your customers, but they will determine the value of your systems in absolute terms, and relative to the industry. How well and how consistently do you process leads, book calls, optimize capacity, manage operations, optimize margins, present options and delight your customers? Is your company a well-oiled profit machine? The answer to those questions can only be determined by a business analysis.

DataTurk.ai analyzes home service businesses. Our mission is to help home service business owners make more money and achieve the greatest ROI on their company. DataTurk works only for the business owner, because owners have interests that employees do not share.

DataTurk.ai connects directly with your systems, digs deep into your data and uncovers strengths, trends, issues, and opportunities to sort out the most valuable insights. Actionable insights, not time-consuming reports, guide data-driven decisions.

At the highest level of service, DataTurk whispers those insights directly into the ears of the owners. This provides vital information that they can use to grow and delight customers, fix systems, and continuously make their companies more valuable and rewarding, both for them and any future buyers.

About The Founders

Jeffrey Eisenberg, John Quarto-vonTivadar and Bryan Eisenberg have worked together for over 20 years. They have helped businesses leverage their data to improve sales, communications and customer experience. They measure their success by the hundreds of businesses that they have helped increase revenue.

They have co-authored multiple books together, including “Always Be Testing” (2008), “Be Like Amazon” (2017) and two New York Times best-sellers “Call To Action” (2005) and “Waiting for Your Cat to Bark” (2006). They have been quoted and referenced in The Wall Street Journal, CNN, Inc Magazine, Entrepreneur, and The New York Times.

Jeffrey has consulted to companies like Google, Chase Bank, GE Healthcare, and NBC Universal. He has started, bought, invested in, and sold several companies. Jeffrey also sat on the board of directors of two publicly traded companies, including a company that he took public as CEO (Chief Executive Officer).

John is a former scientist at NASA and worked on two of the instruments aboard the Hubble Space Telescope. He’s also a former member of the Chicago Board of Trade, where he was one of the first traders to apply machine learning to predict agricultural futures prices. He has served as a CTO (Chief Technology Officer) at five companies. John is one of those rare data scientists who also understands business. He has over two decades’ experience developing artificial intelligence models that create value, insight, and innovation for businesses.

Bryan has been the CMO (Chief Marketing Officer) at four companies. He is the co-founder and Chairperson Emeritus of the Digital Analytics Association and a sought-after international keynote speaker. He has been helping companies understand how to use their data since 1998, having helped clients make changes that accounted for hundreds of millions of dollars and figured out how to get meaningful results under almost any circumstances.