Last month, we talked about the various kinds of startup entrepreneurs and their approach to business. We will now examine, via case studies, the most common mistakes that start-up entrepreneurs make. Here's the first one:
Problem: Selling to the wrong customer
This client, hereafter referred to as Plasma had an offering in the healthcare space.
As a part of his extensive, hungry travels, Plasma’s founder, Raj, had chanced upon a technology in Scandinavia that offered a full body scan. This was commonly used as a predictive tool- information about the patient on certain conditions that may cause future problems.
Raj was aware, that a full body scan cannot be used as a substitute for standard medical checkups. It was at best a complement to a regular ‘health check-up’, to provide the doctor with a better, more complete picture of your overall health.
Raj realized that unless he hit the hammer on numbers, there would only be a trickle of elite interested patients, who would be interested. A validation of this was that clinics located in upmarket residential localities had more patients. Yet, for his 10 clinics to break even, he needed better footfalls, tie-ups etc.
“There is no product that does what mine can do, said Raj, Other imaging techniques in the market cannot do what my machine can do, and are not as safe as my machine is”- pitch after pitch, healthcare professionals heard Raj out and politely told him “we will get back to you”
Raj had a good product. He was trying hard to figure out which customer really needed his product.
While there were “communities” of people engaged in active self-monitoring, and these were the first adopters of the product, the word-of mouth proliferation of the idea was taking time. He needed a way to find more such communities.
Raj’s machines had cutting edge technology. Their radiation levels were much lower than other machines in the market. His accurate cardiac scoring had started making waves. He was prescribing healthier lifestyles.
He needed to find a hook for someone who gave him 10000 patients at one shot. Or so he thought.
Raj explored the full range of services that the scan machines offered. He had suppressed some functionalities of the machine, in order to find a focused way to market it. That way, he had to train fewer people to operate the machine.
His low dose x-ray scanning could detect musculoskeletal, endocrine, and prostate and ovarian disease as well as tumors, aneurysms, osteoporosis, hernias, and kidney and gall stones. Was he underselling his product?
What was the one category of business who would benefit most from knowing how pre-disposed an individual was to cardiac and cancer, and other very expensive treatments? Will this category demand a steady stream of scans, as opposed to sporadic needs?
Plasma needed repositioning.
Plasma’s tagline was “your personal health predictor”
Three years into existence, and with negative responses from a 63 hospitals and doctors and radiology clinics, Plasma branded itself anew as a tool for “health risk assessment”.
Plasma was able to approach insurance companies. Insurance company managers had targets of their own, “we are bleeding. We have been told to bring down claim ratio to 30% of present levels in the next two years. The problem is, we don’t have the tools to calculate risk accurately.”
While the rest of the world was looking as “plasma” as a cost, here was a sector that was looking at Plasma as a “benefit”. In all businesses, this is almost always the tipping point.
The insurance company gave Raj a list of the top 10 expenses they incur in claims. Plasma realized that its scan could add value on predicting all of them. This, in conjunction with a basic test like the blood test, could change the way insurance companies calculated the premium they would charge.
Plasma had finally found a “market need” that it could solve. With three big insurance companies under its belt, Plasma was able to bring clients into its clinics. This further spread the word on its safe technology and protocols, and gave rise to fresh communities who were interested in self-monitoring.
Summation: A state called the “thinking trap” can be our most basic flaw
Raj was basing his assumptions on various thinking traps, the most basic one being “all or nothing”. If it’s a healthcare product, then obviously hospitals and clinics would have the need for it. Better still, patients directly. The interdependence of various industries today is well-known. The solution may lie in an ancillary or affiliate industry, that we have not given thought to at all.
About the author: Reeta Gupta is the founder of The Network, which helps startups and other SME entrepreneurs with branding and marketing. Follow her on twitter at @ReetaDGupta or her blog: http://allaboutpositioning.wordpress.com/