Translate

Tuesday, 13 August 2013

Making Easy Cash With Landing Pages That Convert Pt.9

Fine Examples of Landing Pages


When you are constructing a landing page, it is always a good idea to refer to a number of other successful landing pages for ideas. The following are a couple examples of landing pages that convert well:

Making Easy Cash With Landing Pages That Convert Pt.8

Driving Traffic into Your Landing Page


In the first portion of this article, we discussed driving traffic into your landing page using pay per click advertisement and natural search engine optimization. Now, both of those methods can be effective, but they both usually have rather high barriers to entry and require a lot of work.

Making Easy Cash With Landing Pages That Convert Pt.7

Driving Traffic into Your Landing Page


Driving traffic into your landing page – it sounds easy, doesn't it? Well, it's not. And no matter how great your landing page is, it wont matter if no one ever reads it. Furthermore, if everyone in the world other than your target audience reads it, it also wont matter. This is why you need to find media through which you can drive targeted visitors to your landing page.

Making Easy Cash With Landing Pages That Convert Pt.6

Tips on Increasing Your Landing Page Conversion Rate


There are three major ways in which you can create your landing page conversion rate. All landing pages created by professionals usually include these three elements at a few others.

Making Easy Cash With Landing Pages That Convert Pt.5

How to Write a Landing Page that Converts


In addition to careful copywriting, there are other important things you must take into consideration when writing a landing page that converts. For instance, it is important to build a compelling case for a time-bound offer.

Making Easy Cash With Landing Pages That Convert Pt.4

How to Write a Landing Page that Converts



Most people have no idea how to write a landing page that converts. Instead, they slop together elements that they have seen used in other landing pages – but usually do not put them together in the same way the owner of the successful landing page did.

Making Easy Cash With Landing Pages That Convert Pt.3

Planning Your Landing Page Theme


Perhaps the most important part of creating a landing page is planning your landing page theme. How you select your theme, of course, will all depend on how you plan to generate traffic.

Making Easy Cash With Landing Pages That Convert Pt.2

What You Need Before Getting Started


Before you get started building your landing page, you will need a number of things to 

a) make your offer actually have a point; and 
b) facilitate the creation of your landing page.

Making Easy Cash With Landing Pages That Convert Pt.1

The Landing Page System



The landing page system provides a uniquely powerful system through which you can derive profit from multiple streams. This article will briefly discusses some of those different streams – and how you can manipulate them.

Making Easy Cash With Landing Pages That Convert Intro

How to Write a Landing Page that Converts

Introduction to Landing Pages...

                                               

Before you begin the attempt to build a successful list or create a powerful salespage, you will want to start with a rigorous introduction to landing pages. In stark contrast to undifferentiated, unfocused home pages, landing pages focus specifically on capturing leads for a newsletter or making sales for a specific product – and make no attempt to give visitors a different option.

Monday, 12 August 2013

Pattern Recognition and How to make money with PC

What is pattern recognition

For more than 70 years since the advent of computers, the mankind has made tremendous progress in this area. Today, a personal computer is a device capable of executing billions of complex mathematical operations per second and instantly making calculations that previously people would have spent a few years on.
However, the speed only seems fast. Computers can really instantly calculate spacecraft's orbit, which would take a professor of astronomy a month. But when computers have to distinguish between a cow and a horse in a picture (a task that any five-year-old will handle in a second) or read the handwriting, then they run into considerable difficulties. At best, computers will spend a lot more time on the task than a child, but most likely they will fail. Even if they don't fail, then in many cases the answer is incorrect.
Many are now trying to address this issue. Many programs have been developed to perform these tasks in a varying degree – to recognize text, vehicle license plates or people's faces – but in general the mankind has not achieved a lot here. The algorithms that are currently used for pattern recognition have nothing in common with the way nature does it.

Who needs it and what for
In reality, this very narrow and small – as it may seem to some – issue is one of the global challenges for the mankind. Its solution may give the mankind a sudden change comparable with the change that once came with the discovery of electricity and radio waves. Addressing this issue will change the world. Pattern recognition is not only a recognition of texts and pictures. Pattern recognition means that computers will learn to listen and to understand human speech, drive cars, fly planes, operate trains and ships, do construction work instead of people, clean up apartments and yards, cook, replace vendors, movers, unskilled laborers, police officers, etc.
Computers will be able to replace humans in all areas that don't require creativity – where the task is purely mechanical – to recognize a pattern (roads, traffic lights, pots, boxes, garbage, etc.) and perform an action known in advance depending on the recognized pattern. The introduction of computers will not only significantly reduce the cost of all the mentioned works but will also save tens of thousands of lives. Computers, unlike humans, don't make mistakes. As the result, traffic accidents will be reduced to almost nothing; planes won't fall, ships won't sink and trains won't derail as often; the number of accidents at construction sites will decrease, etc.

Why do we believe that it is possible
People dream of many things that today are pure fiction. People dream of traveling to other planets, but the vast distances between the stars and the relativity theory limiting the maximum possible speed to 300,000 km/sec make these flights theoretically impossible. People dream of a perpetual motion machine but the laws of physics say that it is not possible. People dream of immortality but biology challenges the opportunity of it in the near future. Pattern recognition is a whole different thing. An example of the task being successfully performed is obvious – it's us, dogs, cats, hamsters, lions, and tigers. All of them successfully cope with this task, which means that the task is 100% guaranteed to have a solution; and this problem will be 100% solved by the mankind in the near future. The question is not whether it is possible or not. The answer is yes! The question is when and who will do it first. With your help, my friends, we are confident that we will do it in the coming years, and perhaps even months.

Why do we need you to do it
The main difference between a computer and the brain is that the computer is capable of executing billions of operations per second, and the brain is only able to consistently execute dozens of operations per second but it can simultaneously execute trillions of logical operation streams. Experiments in this area require the exact system that has been created by DigitalGeneration – a large distributed network.
With the help of DigitalGeneration, we'll finally be able to understand the working algorithm of living organisms and to transfer this algorithm to a standard personal computer. We already have some experience in this area, and we are confident that we will succeed. Besides, we are open to cooperation and are ready to share our resources with anyone working in the same area.

Economic justification – how much can you make
First, the costs. Let's say that DigitalGeneration's network will soon include one million computers and the development will take three years (the numbers are deliberately exaggerated as we now expect to pull it off with several hundreds of thousands of computers and within a year), then our cost of paying you will amount to a little over $1 billion. Plus a certain amount of money will be spent on the development itself, to pay programmers, rent an office, etc. (But this amount will be partially covered by the users who will have bought ThreadManager licenses, so our costs will not exceed $1 billion. )
Now, the revenue. Let's say that we will sell our technology to the automotive industry. A vehicle without a driver is very convenient and will save businesses huge amounts of money. Suppose we will have $1,000 from each such vehicle. About 60 million vehicles are being produced globally each year, which means that our revenue will be $60 billion per year, or $1 trillion over ten years given the growth of the global automotive industry. Suppose we will create street cleaning robots using our technology. Let's say that now 0.1% of the world population are working as street cleaners. Then, based on the rate of saving $1,000 a year for each street cleaner our revenue will amount to about $100 billion over 10 years. The calculations for the other sectors of the economy demonstrate about the same. In general, our revenue should amount to $1 trillion a year. It means a 100.000% yield in a year. We are ready to share our income with you, my friends, but in return we ask you for your support and understanding! This new technology will be used in all households across the world, in every house there will be "smart bots" and similar things and we're entering into this new area all together.

To get your PC earning you cash for doing tasks or "work" that will benefit mankind then sign up here