Proven Match


Technology a Game Changer for Finding the Right Franchise

During this week’s blog, we’re going to get a little hypothetical. It’s always a fun little exercise to put yourself in someone else’s shoes, so we’re going to have you imagine that you’re someone else…just a little bit.

Let’s say you’re a happily married “empty-nester” couple with a pretty decent amount of savings. The kids are safely on their collegiate journey and you and your spouse are nearing retirement. But, of course, that word scares you a little. Retirement to you might mean something completely different nowadays compared to the previous need. After all, you haven’t spent the last 35 years on the assembly line, working with your hands until they no longer worked.

You want to stay busy. You want to stay engaged and involved. You don’t see yourself as the type to slow down while planning for a future of holiday celebrations with your yet-to-be seen grandkids. And let’s be honest – a lot of golf will become boring sooner or later.  Not quite ready to call it quits, you’ve been discussing lately how much you’ve always wanted to own your own business. To take control of your own destiny and financial future. We know the answer! Franchising. Of course. Buying, owning and operating a franchise business of your own could set you on the path to financial freedom, retirement be damned!

So…how do you go about finding a franchise? Moreover, how do you go about finding the right franchise for you? Well, technology is a pretty good start. The Internet has unlimited resources on the subject. Places like and have catalogs of information on over 3,000 different business categories. Furthermore, there are even apps for that type of research now. Browse franchise concepts from your handheld smart phone? What a concept!

The fact is, you won’t be making any decisions on what type of franchise you should be investigating without allowing technology to be at the center of your research. It’s just smart planning and proper due diligence to do so.

So, next question. If you’re a franchise brand, why aren’t you doing the same thing?

Technology has made it much simpler to investigate and consider a multitude of franchise options for franchisees. And yet at the same time, there is an established solution for franchise brands. And they both work roughly the same way, with the same end-game benefits. Let’s sum it up again: a prospective small business owner uses various available technologies to find just the right franchise. Likewise, with Proven Match, franchise brands can use similar technology and assessment tools to find highly qualified franchisees. 

Proven Match is a franchise-focused consulting company that pinpoints the motives, characteristics and ideals to establish a scientifically-based profile of your top-performing franchisees, and provides tools to attract potential franchisees matching that specific profile. And it works with the same type of technological assistance that future franchisees use to find a business of their very own.

For franchise brands, Proven Match flat out removes the guess work on evaluating your prospective franchisee candidates. And it’s very accurate. How accurate? Our assessments predict a 93.6 percent accuracy of compatibility and performance of prospective franchisees. If you’d like to see what it can do for your franchise, we recommend you view an online demonstration at your earliest convenience.

As a franchisor, you’ll want to know which existing and potential franchisees best fit your business concept. And Proven Match is the proven solution in determining those factors. Obtain the ability to categorize your best existing franchisees for future validation efforts. And find the potential franchisees still engaged in the discovery process to add to your team. Through our proven behavioral assessment techniques, predictive analysis becomes predictive success for your franchise concept. If you’re ready to show your leadership by getting started, give us a call and we’ll put you on the path to a more productive year in 2016.    

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