Information marketing is in it's most basic definition "the process of selling information". That sounds easy enough, right? But how exactly does that work in an internet-based business?
Well, first of all, let's frame out what kind of data we're talking about here. Typically, it's data that serves to educate and, hopefully solve a problem that a potential buyer is having.
For instance:
Teaching a busy executive how to lose weight.
Showing a single mom how to make more money.
Helping a couple to avoid a divorce.
The data is typically delivered electronically (digitally) via eBooks, membership sites, audio and video downloads. It's a multi-billion-dollar industry, any times over, and has generated millionaires such as Dan Kennedy, Yanik Silver, and Frank Kern, to name just a few.
Why is data marketing appealing? Entrepreneurs are drawn to the low barriers to entry, high profit margins, hands-off management, and quick time-to-market. An data marketer can dream up a stock one day and release it overnight, seeing a return on their investment approximately immediately. While it's easy to come to be an data marketer, doing it successfully is another matter. Many bright-eyed would-be millionaires dive into the market, hoping to witness the fabled rivers of gold, much like the 49'ers in the Gold Rush of yore. In this article, I will share any of the common pitfalls that data marketers can fall into, as well as furnish tips as to how to come to be one of the lucky - and hard-working - few who assault it rich.
Mistake amount One: Aiming for Perfection
When the Wright brothers took their first historic flight on December 17, 1903, they weren't trying for perfection. They weren't trying to offer great cocktail aid or wireless Internet or 100 channels of Tv aboard their flying machine. They just wanted the darned thing to stay up in the air for a few seconds! And a few seconds - twelve, to be exact - was all they got. And they became paramount for it.
Now dream if they had been concerned about the extras - no, I don't mean beverage aid or comfy seats. But if they had wanted a crash-free landing, a three-hour (or three-minute!) flight, a stylish rig - they'd probably have never gone out to that sand dune in Kitty Hawk in the first place. They'd still be in the workshop, tinkering with the wheels or wing flaps.
What Orville and Wilbur knew - and what data marketers would do well to take note of - is that perfection is overrated. In fact, it doesn't exist. So waiting until your stock is "perfect" before you release it means you have a good opportunity of whether never releasing it at all, or delaying so long that person else beats you to the punch and scoops your shop out from under you.
Hesitant to release a stock that is less than perfect? Well, Microsoft - and pretty much every other software enterprise - does it all the time! And if "good enough" is good sufficient for billionaire Bill Gates, it's good sufficient for you. Of course, there is a fine balance between releasing something that's not ready and releasing something that's necessary but a petite rough nearby the edges. This is where having a handful of beta testers can come in very handy. Send out your stock to a group of habitancy for their feedback, and see what they think. Ask them:
What's missing?
Can you use this stock to originate more value in your enterprise or life right now?
On a scale of 1 to 10, what would you rate this product?
If you could turn one thing, what would it be? If you get overwhelmingly safe bet feedback and your ratings are all in the 6-plus range, you're good to go. If you're getting comments like, "I couldn't understand what you meant," or, "I'm not sure how to use this," or, "You need to rewrite chapter Three," then you're not quite there. Take another look at what you have, make the requested changes or suggestions, and try again. Remember, you don't have to make it across the Atlantic in one piece; you just have to make it nearby the block.
Mistake amount Two: Releasing a "Me Too" Product
When you see other data marketers development big bucks from an ebook on, say, Twitter traffic generating strategies it is actually tempting to jump up and say, "I could write an ebook on Twitter traffic generating strategies, too! And then I could make big bucks too!" It sounds good - but it doesn't necessarily work that way.
In fact, if you originate and release a "me too" stock that is nothing more than an imitation of a more thriving stock already on the market, don't be surprised if the world doesn't rush to your door. (And, don't be surprised if you tick off the primary stock creator, too.) "But wait!" you might be saying. "Dunkin' Donuts opens up across the road from Starbucks, and they both do well!" Yeah, they do. That's because it's Not a "me-too."
Each has its own spin on the product. Dunkin' is where you go for quick brew and a 99-cent donut. You head across the road to Starbucks if you want a glutton breakfast sandwich and a wi-fi association while you get ready for your client meeting. safe bet needs; safe bet products. To take the coffee metaphor online... It's okay to come up with a stock that's similar to a competitor's, but you need to put your own spin on it, adding value over what your competitor is offering.
Here are some ideas that you can use to originate a "me-too" stock that stands on its own
Make it faster. Check out your competitor's product. If it promises Thinner Thighs in Thirty Days, offer Thinner Thighs in Two Weeks
Make it easier. Does the primary stock offer ten steps to increased conversions? Then offer three steps instead.
Make it bigger. Competitor sells 100 30-minute recipes? Then you need 200.
Make it optical (or auditory, or written). If there's an ebook on the topic, originate the videos and audios, or vice-versa. Not all habitancy learn the same, so cover the parts of the shop your competition is missing.
Make it cheaper. When Jeff Walker released his six-figure start e-course, a smart marketer released "The Poor Man's start Course" for a fraction of the cost.
Make it more expensive. It may sound counter-intuitive, but it works! Some customers want "the best" and will go for the more expensive choice automatically. If you can back your higher price tag with greater value, you will pull habitancy seeing for the Rolls Royce solution. There's actually no excuse for creating a copycat product. Put your individual stamp on the stock instead, and you'll find that you can reach the buyers your competitors are missing.
Mistake amount Three: Overselling
The other day, my six-year-old convinced me to get her this chalk set that promised "3-D effects on your own driveway!" She pointed to the kids on the box, glowing with the success of creating artistic, 3-D effects that would rival those of Pixar. "Please, Daddy, please!" she begged. I gave in, shelled out the , and we took the box home.
You know the story - it didn't work. Within five minutes, I had a crying daughter, a box of broken chalk, and a headache. The problem here? The enterprise oversold their product. They made promises their stock didn't fulfill. Let this be a chapter to you. Now, the chances that your disappointed customers will end up in tears may be remote, but there are takeaways for data marketers:
People read - and believe - your sales page. You may think that no one reads those things, but they do! And they expect your stock to accomplish as described. If you say, "Thinner Thighs in Two Weeks," that's what they expect to see. Don't make promises that aren't achievable.
If you don't fulfill what you say, they will be upset. They won't blame the extra cookies they had after dinner each night this week or the ice cream sundae they chowed; they will blame You and Your Product. If there are limitations on performance, make sure you clearly state them on your sales page.
If the stock doesn't work, they will tell their friends. My petite Ralph Nader has already warned the whole kindergarten not to buy that single craft product, and you can bet she'll warn anyone she sees at Target, reaching for the box. Mad customers talk - online, in person, in forums, you name it. While you want to tout your product's capabilities and gift it in the best potential light, make sure the results you're claiming aren't only possible, but likely, if the stock is used as intended and recommended. If the results you cite in your sales copy are not typical, be sure to note that as well. Otherwise you may face the wrath of unhappy customers. And that's not a pretty sight.
The advantage of working online as an data marketer is that the possibilities are wide open. You can actually write your own mark for how much (or little!) you want to work, and how petite (or much!) you want to make. The drawback to having such an unstructured environment is that it can be tough to know what to do - and what not to do. I hope this short narrative helps you avoid some of the many pitfalls out there for data marketers. If you couple on serving your customers well, I know you'll be a success
Top Three Mistakes information Marketers Make and How To Avoid Them