"All marketers
are liars" is not nearly as inaccurate as numbers don’t lie- numbers look
you straight in the eyes and lie. But this is not what this blog is about- it
is about marketing as I understand it and succinctly phrased by Dr. Kotler "
the science and art of exploring, creating and delivering value". Having
spent almost a decade doing just this, let me address the science of marketing.
As a marketer, you
have to simply pick a complex environment and scientifically break it down into
a simple actionable system. Contrary to
much of what I have heard in the business world, the new millennium has
not changed marketing, its just the mechanics.
Value
Value needs a pain
or a problem or a cost, there can be no value without some pain that hurts
someone. That someone is now a target and the job of the marketer begins. Let
us break down the complex experience of the target that a marketer has to:
- Have the pain or problem.
- Acknowledge the pain
- Be able to quantify the pain
- Know there is a solution to the pain
- Be able to compare the various alternatives
- Choose the right solution
- Try, Buy Use the solution
- Confirm the pain in #3 is reduced or eliminated
- Talk about how the solution changed his/her life
These are a long
list of steps but broken down individually, each step can take anywhere from
nano seconds to months but the process remains the same. There are various frameworks that reduce the
number of steps- but you do so at the risk of neglecting or rushing through the
process. Both of these scenarios hurt your chances of success.
Providing
value
This formula has not
changed- works for clothes, raincoats, uniforms, software, apps, learning, services, solutions, storage, servers
and even powerpoint decks that looks very pretty; everything i have personally marketed throughout my life. The key is to keep it simple
and you have a customer and the customers daughter-in-law as a customer for
life.
Next.
These set of blogs
are my attempt to elaborate on my personal learnings from the software industry
both at large corporations and startups.
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