Our Story

Jim Kalogerakos, President

As a former principal at a small boutique agency, I always maintained that all strategic, sales and marketing decisions we made on behalf of clients should be based on the best available information. But the reality was that most clients (a) couldn’t afford good research or (b) didn’t think they needed it. Those that used data, minimized risk, maximized ROI and drove sales. Those who didn’t sometimes got lucky, but mostly floundered.

I think it was my experience as a Census Commissioner in the 1996 national census that gave me a first glimpse into the volume and power of data.  Today, from a multitude of sources, we have access to thousands of pieces of information on consumer behavior and we can identify those consumers on a point on the ground; where they live, work and play.  We can access information on what they buy and where, what they read, what they watch and listen to (on and offline), how many friends they have on Facebook, where they vacation, what they drive, how they invest, right down to their attitudes and beliefs on religion, sex, gun control, immigration policy and abortion.

But you don’t need thousands of data variables. You need the right data.  Using the right data to make important marketing and other strategic decisions always netted our clients the best possible results. The data exists and it is accessible quite readily today, so there’s absolutely no reason you should be making decisions on loosely based assumptions.

The data exists and it is accessible quite readily today, so there’s absolutely no reason you should be making decisions on loosely based assumptions.

Show me the data.
Big data, big problem.

Scott Galambos, Chief Technology Officer

Data is useless unless you can turn it into usable information

Enter Scott. Killer coder, server genius and the best problem-solver I’ve ever known. And my friend of 25 years. From the very first days of the internet, Scott has been building some pretty ingenious web applications and solutions for some pretty impressive clients like Lockheed Martin, Hewlett Packard, NCR, 3M, Brinks and US Dept of Transportation to name a very few. Together we’ve built what I think are pretty incredible technology and business models, and we didn’t know we were doing it at the time (i.e. a video publishing and distribution platform similar to YouTube, before there was YouTube; a white label internet content publishing platform;  and content management systems before there was WordPress – but those are stories for another time).

I used to go to Scott (and still do) with some of the craziest ideas and he’d scoff, look me in the eye and say “It can’t be done“.  We’d argue for a while then I’d go home. Two days later I’d get an email and a link with the words “I figured it out” or “It’s done”.  Scott always delivered and saved the day many, many times.  I could not imagine building this company with anyone else.

...clients like Lockheed Martin, Hewlett Packard, NCR, 3M, Brinks and US Dept of Transportation to name a very few.

Data Science + Technology + Auto Industry

So what does this all have to do with what we’re doing today? If you’ve read this far, you’ve probably guessed. Our latest project is closemore. 

We’re simplifying and democratizing big data analytics and putting in the hands of those who need it most.  closemore will help sales, F&I, parts and service, BDC and marketing personnel engage better, develop genuine relationships and increase the lifetime value of all customers. This is the only sustainable model that will ensure the long-term viability of the modern dealership.

Bottom line, we are equal parts strategy, marketing and technology. We are creative thinkers, problem solvers and build really cool stuff using the latest technology, big data and a healthy dose of common sense.  We believe closemore is pretty special and will change the way everyone at the dealership will interact with prospects and customers.

Give it a try.  No obligation.  No hassles.  No strings attached.  Promise.

We're simplifying and democratizing big data analytics and putting in the hands of those who need it most.