A story with tens of thousands of articles.

A story with tens of thousands of articles.
life and death, blessing and cursing, from the main character in the hands of readers.

Monday, June 27, 2016

Marketing Attribution: Creating a Growth Engine at Salesforce, Zendesk and Slack

If you are looking for a professional writer, both fiction, and nonfiction, please contact richard.nata@yahoo.co.id

BERANDA    ABOUT US    ADS : 1 USD FOREVER     ASMARA    BIOGRAFI     BUKU     BUKU PINTAR 

CHRISTIAN FAITH     DISCLAIMER     DUNIA KERJA     ENTREPRENEURS     GO PUBLIC (IPO)     

KESEHATAN     LIST OF ALL ARTICLES     MARKETING     MY STARTUP     OTHERS     

TIP SUKSES DAN KAYA     TIPS BLOGGER     TIP SEO     CONTACT ME    PROFESSIONAL WRITER


Marketing Attribution: Creating a Growth Engine at Salesforce, Zendesk and Slack

I recently sat down with Bill Macaitis. I’ve been a big fan of Bill’s since we brought him in as CMO at Zendesk. He has since gone on to be CMO at Slack. In an age where product gets most of the attention, Bill is the kind of marketer founders crave. He knows exactly what impact his marketing efforts are having. He makes it easy for a founder to expand his budget. And he’s able to build a predictable growth engine. 
How does he do this? The key, Bill would say, is marketing attribution–being able to evaluate how each marketing channel is contributing to growth. Many startups haven’t considered just how difficult it is to accurately track ad and marketing performance (the last ad clicked is not the whole story.) Or, many startups believe the analytics that come with marketing attribution is better left for when a company reaches scale. Bill firmly believes it needs to be put in place early. Why start any marketing if you can’t measure what’s working? In this post, we share ten years worth of learning and experiences Bill has amassed with marketing attribution–what it is, why startups should do it, and how they can best put it into place early in their company’s life.

What is Marketing Attribution

In social psychology, attribution is the process of inferring the causes of events or behaviors.Marketing attribution has been defined as “the science of assigning credit or allocating dollars from a sale to the marketing touchpoints that a customer was exposed to prior to their purchase.” Bill Macaitis, CMO of Slack and formerly CMO at Zendesk has a much simpler view:
Marketing Attribution means: are you spending your money wisely?
A simplified example: let’s say you have a customer who first saw your display ad but didn’t click. Weeks later they saw your Facebook ad, clicked through and read several of your blog posts. Still weeks later, they clicked on one of your Google ad words and ended up signing up for a free trial. How do you value each of these marketing channels? If the display ad hadn’t been seen, would it have mattered? Would they have found their way to your site without the Google ad word? Which blog posts resulted in the highest value signups?
A simplistic last-touch model would give all the value to the ad word and undervalue earlier touchpoints. A first-click model would give too much credit to the first click, the Facebook ad. Equally or linearly spreading the value across all channels would just be guessing. To get a much more accurate view of each channel’s role and be able to optimize your spend, you need an attribution model that analyzes all of your data–who viewed what, who clicked what and what actions did they take–and algorithmically determines the impact of each touchpoint.

Why You Need Marketing Attribution

As you ramp up marketing and start using different channels, you need a more sophisticated approach than simple click tracking to follow your buyer’s journey and know what’s working, what’s needed when, and where your spend is paying off. This is especially important for a more considered purchase, such as a B2B sale where it can take months and five, ten or more touches across various channels before your customer takes their first action with your company.
Bill has been building marketing attribution systems for almost 10 years–first at Salesforce, then at Zendesk, and now at Slack. At each company, marketing has become a huge competitive advantage. These companies, once they found product-market fit, were able to generate hyper-growth in large part because they knew they were spending their money efficiently and could thus scale up aggressively. It’s meant the difference between 40% to 50% growth per year, to over 400% growth per year.
But, how does a startup approach this? Don’t you need complex systems and data scientists to get this right? Don’t you need a large marketing spend? Not necessarily. Luckily, we live in an age when marketers, even at startups, have more data at their disposal than at any other time.

A New Era of Marketing Attribution

It used to be all we could really do to understand the impact of our marketing spend was to track the first or last click to a paid conversion event using simple referral links. This worked well, for a while, especially when SEM was the majority of most companies’ digital spend. But, as digital channels expanded we needed a way to recognize the influence of these other channels. Along came rules-based attribution which allowed multiple channels to be tracked and weighted. But, the accuracy of a rules-based approach was limited because the values of each channel were inputted by the marketer. Intuition was still driving what each channel was worth, rather than data.
Today, algorithmic attribution has become the best practice for data-driven marketers and companies. We can now utilize all the available data collection, tools and models to take in all different touch points and make predictive, algorithmic attributions. When set up properly, we can track each touch point and all downstream funnel metrics. And by weighting proportionally across a very large data set, we can determine with much more accuracy and precision what should get the credit–including both online, offline, performance-based and brand advertising.
It’s not perfect, and it’s not easy. It gets difficult with word of mouth referrals, dark social, and other “hidden touches.” But, it drives a much deeper understanding of the buyer’s journey and which of your marketing efforts are paying off.
People make passionate arguments about first or last click attribution. When it’s my budget and company on the line, I go with the data and science every time. — Bill Macaitis, Slack CMO

When is it too Early for Marketing Attribution?

It doesn’t make sense to scale any marketing before you have product-market fit. But, once you have this and you’re starting to think about your marketing mix, you need marketing attribution. You don’t want to be in a position where you’re starting to spend money and you don’t have a way to track it. Knowing what’s working is too important to the growth of your business to push it off until you have a larger team and larger marketing budget, for it will guide your overall investment decisions, your staffing, and how you resource the team.
If you’re using qualitative and subjective assessments instead of data to make decisions you can end up in a really frustrating situation. Without data, you are forced into ivory tower type debates over buying this billboard, or that display ad, or which homepage to go with, and you’ll be guessing based on your own personal preferences. Even when you are early in your company’s growth, you are best served letting users decide what resonates most by tracking their touch points and outcomes.
Of course, putting in a system for algorithmic attribution requires a significant investment of time, money, and people. And that can be tough for a startup where resources are tight. But, there is a way to start smaller. And, relative to the results you will achieve from being able to optimize your growth levers from the beginning, you will see an incredible ROI on this investment.

A Guide For Implementing Marketing Attribution at a Startup

Once you have a few channels you’re using for marketing (ie. webinars + content marketing + fb ads), you need to get some basic tracking in place. This is the non-sexy groundwork that will end up guiding all of your decisions down the road.
1) Educate Your Team
Because you will need an investment of people and dollars to build your attribution system, and because the data you collect will drive fundamental decisions about how you market to and engage customers, you need to start by educating your internal team. Often in an early tech company there are few, if any, marketing people, and people haven’t wrapped their heads around attribution–what it is, the need for it, how to “fairly” assign credit to different channels, how to account for the longer nurturing cycle required, how to factor in word of mouth, etc. At the same time, companies are rightfully focused on their capital and burn and not looking to make big infrastructure investments in marketing. It comes down to trust–which you need to build very early on and continue building as you share the data.
This is a classic change management process that starts with a lot of education before anyone will be comfortable investing.
People may have very impassioned arguments for why one type of attribution is better than another, but you need for people to understand that marketing doesn’t have to be a guessing or intuition game. Put it into terms they will understand–we are going to collect a large set of data and let the data science determine what channels and campaigns are having what impact.
2) Hire the Right Team
As I shared in my introduction, Bill typically recommends the first person a head of marketing should hire is a marketing operations person. These people are worth their weight in gold. When you’re first starting, this may be more of a generalist role, combining operations, analysis and possibly other functions. Look for people who have background in building out a marketing tech stack with a focus on attribution. Even if they haven’t done attribution specifically, a lot of people who have done SEM or media buying will inherently grasp looking at ROI vs spend and will have some experience with the different viewpoints on attribution. The key is finding people who believe in data driven decisions. Interview questions Bill uses to get at this include:
  1. If we ran three different ads, what would you look at to determine which ad was most successful?
  2. If we spent $1M on advertising this year, how would we know it was successful?  
This person will also need to be a strong partner with your development team to build out the tracking infrastructure and integrations to your data warehouse. They should have a familiarity with databases, and if you’re short on database resources, you may even want someone who can set up some of the early database queries themselves.
Hire this operations, data-focused person first so that you can begin tracking from the very beginning. From there you can start to lay the groundwork for other key teams including product marketing, content & editorial, PR, advertising, lifecycle nurturing, events and customer references. Marketing tends to grow in many directions and can become quickly unwieldy, untrackable, and expensive when you aren’t measuring the impact on growth. You will build trust for future marketing efforts by being able to assess the impact you’re having from the very beginning.
3) Buy or Build
The marketing attribution space is crowded, with plenty of pure play vendors like Convertro (bought by AOL), VisualIQ, Google Analytics (bought Adometry), as well as many smaller players to fit different budgets. You may get along with Google Analytics to start, or some marketing automation tools also come with attribution modules.
At Salesforce, Bill built his own system when they had a lot of custom tracking needs for events they were attending, and there were many fewer vendors to choose from. Now, it’s worth a thorough search of vendors to see if there is a tool to fit your needs. Just the process of evaluating vendors will teach you a tremendous amount about marketing attribution. You’ll want to pay attention to capabilities such as the basis for their algorithm, their method for tracking user level data, whether they have cross device tracking and the strength of their match rate, as well as their pricing and how easy it will be to integrate and operate their tool.
4) Integrate for Deep Funnel Metrics
Marketing needs to form a really strong partnership with your development team and those who manage your data warehouse. For attribution to work and to get the most actionable data, you’ll need to integrate into your data warehouse to track specific customer actions. Don’t stop at a customer signing up for a trial, but follow it through to understand if they converted to a lead, an opportunity, to a signed deal, and what kind of expansion revenue they contributed. Your focus needs to be on your long term, core business metrics. Tying marketing value to short term metrics can lead to the wrong incentives and actions.
5) Start Small
You don’t need to integrate a pure-play, end-to-end tracking system to track ten different channels on day one. If you’re starting early, you probably don’t even have ten channels to track. Start with Google Analytics or another tool you’re already using that may have some tagging and tracking abilities. Track a couple channels, e.g., ad words, some display ads, and maybe choose a couple performance networks. Focus on three metrics you care about the most, such as filling out a registration form, receiving a demo, or becoming a qualified opportunity or signed contract. If you have different sizes or lengths of contacts, pretty quickly you may find a lot of value in tracking the resulting ACV to see if different channels are impacting this key metric. Over time you’ll add more channels and start to track at a more granular level, but for now, keep it simple.

Example #1: Zendesk – Beyond Paid Ads

When Bill was CMO at Zendesk, the market for attribution had evolved such that there were a number of pure play vendors with great offerings. He ran an exhaustive search and they ended up selecting one of the larger vendors. They did a lot of work to integrate into their data warehouse to track across paid display ads, email, paid social, organic social, SEO and SEM. By tracking these channels and individual customer touches they identified a key insight–prospects had to interact with Zendesk ten, twenty, sometimes thirty times before they even became a lead. Knowing this, and measuring the influence display was having during this nurture cycle, they continued to invest in display. Without this level of tracking, they would have underestimated display and potentially cut off or reduced this important channel.
Marketing attribution isn’t just for paid channels. Content marketing can also be tracked to determine what pieces are adding value and when in the customer journey. Zendesk invested heavily in content marketing to reach prospects during their lengthy nurture cycle. They set up tracking to see not just every ad a prospect viewed, but also every piece of content. They were able to track which pieces made a person more likely to buy, which increased the velocity of sales, and which led to bigger deal sizes. With this information they could optimize their content flow and confidently increase spend, knowing every additional dollar they invested in content marketing added to the company’s bottom line.
The results? Zendesk was able to dramatically accelerate lead and revenue growth by understanding the impact on ROI across all of their channels and increasing spend on advertising and content in a smart, strategic way.

Example #2: Slack – Taking it to the Next Level

The way you set up your attribution tracking needs to align with your core business objectives. At Slack, the metric of success is based on the total experience customers have with the brand and offering, and ultimately whether they recommend the service. It’s not just whether they sign up. Add to this that Slack limits the number of registration and signup forms, favoring a delightful experience over contact collection and tracking. Finally, add in a significant focus on word of mouth marketing and offline marketing, including TV ads and podcasts. All of this adds up to a very complex attribution marketing system.
While most startups will not need to start with the multi-layered system Slack has developed, there are tactics they are using that others will find helpful:
  1. Because Slack focuses on a team concept, not individual use, they have developed tracking for deeper team-based funnel metrics including size of team, average ARR per seat and activity across teams.
  2. To track “non clickable” performance ads and brand focused touch points from TV, billboards, magazines, radio and podcast advertising, Bill put in place a robust system with multiple tracking signals including:
    1. Referral codes and coupon codes (e.g., get $50 in credits when you go to slack.com/’name of podcast’).
    2. Local test markets (advertise in a collection of cities) and compare those cities’ growth rates (visits, leads, aided recall, expansion ARR) against your control group (similar cities or rest of US).
    3. Multiple brand metrics are tracked including aided brand recall, unaided brand recall, visits to website, sentiment and share of voice in addition to traditional funnel metrics (leads/opps/ARR).
    4. Signup survey which lets users choose multiple channels where they had heard about Slack (including offline channels and word of mouth).
    5. Bill is also a big believer in NPS and tracks NPS at both a relational level (would you recommend Slack in general) and transactional level (would you recommend Slack after a specific encounter with a feature or service).
  3. All of this data gets plugged into their attribution model to find which channels are having the most influence on a customer’s ultimate satisfaction with Slack.

Attribution Is More Than Acquisition

Slack is also a great example of how attribution can be used beyond acquisition to value the touchpoints a customer has throughout their lifecycle and how those touch points increase usage of and satisfaction with their product. Because so much of the value of SaaS comes after the sale–the so called “land and expand” approach where you start with a small instance and then work to grow it and expose it to more people–companies everywhere are investing in customer success. Most companies focus this lifecycle marketing on “free channels” like email and in-product messaging. But, paid channels can also play a role with existing customers. And, when you have an attribution system tracking your existing customer marketing and can determine the value of different efforts and spend, you will be able to optimize both paid and “free” channels to have the biggest impact on customer growth and retention.

Conclusion

Attribution is simple in concept, but complex in execution. It’s also a quickly evolving field. Fortunately, there are many great resources to learn from–blog sites, podcasts, vendor sites and conferences, to name a few. We hope this article has started or continued your learning process. Marketing is indeed fuel for the fire. But, don’t spend blindly. Set up the tracking you need to scale growth in a smart, predictable way and you will be giving your company a huge competitive advantage.


Resource: http://www.forentrepreneurs.com/marketing-attribution/?utm_campaign=Submission&utm_medium=Community&utm_source=GrowthHackers.com


Able To Prove God, Jesus Christ, The Holy Bible To Be Fact!!!

How to Whiten Your Skin Naturally - 100% Guarantee!

natural anti-aging shortcuts

the fat burning kitchen

Top secret fat loss


Love this Post? Spread the Word.


Berapa sih nilai dari blog gue DALAM DOLLAR  ? http://richardnata.blogspot.com/2015/04/berapa-sih-nilai-dari-blog-gue-dalam.html


Need a professional writer? Fiction and non-fiction? contact richard.nata@yahoo.co.id
Let me introduce myself. My name is Richard Nata. I am an author, novelist, blogger and ghost writer. My articles, including short stories have been published in magazines and newspapers since 1994. I have written a lot of books, both fiction and non-fiction. So I was a professional in the field of writing, both fiction and non-fiction.

I was born in Jakarta, August 17, 1968.  

In 1988, at the age of 20 years, I started working as an accounting staff. Age 24 years has occupied the position of Finance Manager. Age 26 years as a General Manager.

In 1994, my articles published in magazines and tabloids.

In 1997, I wrote a book entitled "Buku Pintar Mencari Kerja". This book is reprinted as much as 8 times. Through the book, the authors successfully helped tens of thousands of people get jobs at once successful in their careers. They were also successful when moving to work in other places.

In 1998, I started investing in shares on Bursa Efek Indonesia (Indonesia stock exchange). As a result of investing in the stock market then I can provide consulting services for companies that want to go public in Indonesia stock exchange.

more information :
1. IPO KAN PERUSAHAAN ANDA DI BEI, TRIK TERCEPAT MENJADIKAN ANDA SEORANG KONGLOMERAT. brand, ideas, story, style, my life: IPO KAN PERUSAHAAN ANDA DI BEI, TRIK TERCEPAT MENJADIKAN ANDA SEORANG KONGLOMERAT.
2. JASA KONSULTAN GO PUBLIC ( IPO ) DI BURSA EFEK INDONESIA. 


BUKU PINTAR DAPAT KERJA GAJI TINGGI PINDAH KERJA GAJI SEMAKIN TINGGI made by retyping the book BEST SELLER of the author, entitled “Buku Pintar Mencari Kerja”. This ebook available on google play.

In 2015, I had the idea of a startup company where the readers can decide for themselves the next story. WASN'T THIS A GREAT IDEA? IF can be realized WILL BE WORTH billions USD. Because CAN PRODUCE FOR MILLIONS OF DOLLARS even tens of millions USD annually. 

In theory, in 10-20 years into the future, my startup income, amounting to hundreds of million USD annually can be obtained easily. AND IF FOLLOWED BY MANY COMPANIES IN THE WHOLE WORLD WILL THEN BE A NEW INDUSTRIAL worth trillions USD. 

To be honest. Currently I'm not having a lot of money. So I start marketing my startup with blogspot.

My STARTUP :


A story with millions of choices in it - looking investor like you.



Try to imagine this. When you're reading a story on the web or blog, you are given two choices. You can choose the next story based on your own choice. After selecting then you can continue reading the story. Shortly afterwards you will be presented back to the 2 other options. The next choice is up to you. Then you continue the story you are reading. After that you will be faced again with 2 choices. So onwards. The more stories you read so the more options you have taken.


If you feel curious then you can re-read the story by changing your selection. Then you will see a different story with the story that you have read previously. The question now is why is this so? Because the storyline will be varying according to your choice. 


I, as the author is planning to make tens of thousands of articles with millions of choices in it. With tens of thousands of articles then you like to see a show of your favorite series on TV for several years. The difference is while watching your favorite TV series, then you can not change the story. Meanwhile, if you read this story then you can alter the way the story according to your own choice.

You might say like this. Sounds like a book "choose your own adventure". Books I read when I was young.

Correctly. The idea is taken from there. But if you read through a book, the story is not so exciting. Due to the limited number of pages. When a child first you may already feel interesting. But if you re-read the book now then becomes no fun anymore because you don't get anything with the amount of 100-200 pages. 

Have you ever heard of game books?  When you were boy or girl, did you like reading game books? I think you've heard even happy to read it.

Gamebooks are sometimes informally called choose your own adventure books or CYOA which is also the name of the Choose Your Own Adventure series published byBantam BooksGamebook - Wikipedia, the free encyclopedia
Gamebook - Wikipedia, the free encyclopedia

A gamebook is a work of fiction that allows the reader to participate in the story by making effective choices. The narrative branches along various paths through the use of numbered paragraphs or pages.
Lihat preview menurut Yahoo

Bantam Books with the Choose Your Own Adventure 

series has produced more than 250 million US 

dollars. While I offer you more powerful than the Choose 

Your Own Adventure. Because of what? Because the 

story that I made much more interesting than the stories 

created by the authors of Bantam Books. You will not get anything just to 100-200 pages. While the story that I created is made up of tens of thousands of articles with millions of choices in it.

For comparison are the books published with the theme "choose your own adventure" produces more than 250 million copies worldwide. If the average price of a book for 5 USD, the industry has produced more than 1.5 billion USD. But unfortunately this industry has been abandoned because the reader begins to feel bored. The last book was published entitled "The Gorillas of Uganda (prev." Search for the Mountain Gorillas ")". And this book was published in 2013.

Based on the above, then you are faced with two choices. Are you interested in reading my story is? Or you are not interested at all. The choice is in your hands.
If you are interested then spread widely disseminated this article to your family, friends, neighbors, and relatives. You can also distribute it on facebook, twitter, goggle +, or other social media that this article be viral in the world. By doing so it is a new entertainment industry has been created.

Its creator named Richard Nata.

The full articles that talks about this: 
  




WHY DO I NEED STARTUP FUNDS FROM INVESTORS? I NEED A LOT OF FUNDS FROM INVESTORS BECAUSE I HAVE TO LOOKING FOR EXPERT PROGRAMMERS(IT).BECAUSE THE DATA IS HANDLED IS VERY LARGE, IT MAY HAVE TO WEAR SOME PROGRAMMERS(IT).

I CAN NOT WEAR SOME FREELANCE PROGRAMMER BECAUSE THE DATA MUST BE MONITORED CONTINUOUSLY FROM VIRUSES, MALWARE, SPAM, AND OTHERS.

IN ADDITION FUNDS FROM INVESTORS IS ALSO USED TO BUY SERVERS WITH VERY LARGE CAPACITY. FUNDS ARE ALSO USED TO PAY EMPLOYEE SALARIES AND OPERATIONAL COSTS OF THE COMPANY.

FUNDS CAN ALSO BE USED FOR ADVERTISING AND OTHER MARKETING STRATEGIES.FUNDS CAN ALSO BE USED TO ADVERTISE MY STARTUP AND OTHER MARKETING STRATEGIES.

IF I GET A VERY LARGE FUND, THE PART OF THE FUNDS USED TO TRANSLATE THE STORY INTO VARIOUS LANGUAGES.With more and more languages, the more readers we get.
WITH MORE AND MORE READERS, THE MORE REVENUE WE GET. 

AS AN INVESTOR THEN YOU DO NOT HAVE TO FEEL ANXIOUS ABOUT YOUR FUNDS. BECAUSE YOUR FUNDS WILL NEVER BE LOST BECAUSE IN 3-5 YEARS YOU HAVE RETURNED THE FUNDS COUPLED WITH PROFIT.
THIS BUSINESS IS ONE AND THE ONLY ONE IN THE WORLD.

If we can make a good story, so that the readers will 

come again and again for further reading the story then 

our earnings will continue to grow and will never 

diminish. This is due to new readers who continued  to 

arrive, while long remained loyal readers become our 

customers.

So that the number of our readers will continue to 

multiply over time. With the increasing number of loyal 

readership then automatically the amount of income we 

will also grow larger every year. The same thing 

happened in yahoo, google, facebook, twitter, linkedin, 

and others when they still startup.

Deuteronomy {28:13} And the LORD shall make thee the 

head, and not the tail; and thou shalt be above only, and 

thou shalt not be beneath; if that thou hearken unto the commandments of the LORD thy God, which I command thee this day, to observe and to do [them: ]

Try to imagine this. If I give a very unique story. It was the first time in the world. But the world already know this story even liked it. Because the world love the game books. While the story that I made is the development of game books.
Do you Believe if I dare say if I will succeed because my story will be famous all over the world as Harry Potter?
I believe it. Not because I was the author of the story, but because of the story that I made is unique and the only one in the world. 
Income from my startup :
1. Ads. With millions of unique visitors, the price of the ads will be expensive.
2. Affiliate marketing. In addition to advertising, we are also able to put up some banner from affiliate marketing.
3. Contribution of the readers. If you have a million readers and every reader to pay one US dollar per year then you will get the income of one million US dollars per year. 
If you have a million readers and every reader to pay one US dollar per month then you will get as much revenue twelve million US dollars per year.
4. Books and Comics. After getting hundreds of thousands to the millions of readers of the story will be made in books and the form of a picture story (comics).
5. Movies. If we have a good story with millions of readers then quickly we will be offered to make a film based on the story.
6. Merchandise related to characters. After the movies there will be made an offer for the sale of goods related to the characters.
7. Sales. With millions of email that we have collected from our readers so we can sell anything to them.
    Each income (1-7) worth millions to tens of millions of US dollars. 
    Because each income (1-7) worth millions to tens of millions of US dollars. Then in 10-20 years into the future, AI will be earning hundreds of million USD annually.
So how long do you think my story that I made could gather a thousand readers? Ten thousand readers? One hundred thousand readers? A million readers? Five million readers? Ten million readers? More than ten million readers?
But to get all of it of course takes time, can not be instant. In addition, it takes hard work, big funds and placement of the right people in the right positions.
By advertising, viral marketing, strong marketing strategies and SEO then a million readers can be done in less than a year. Ten million readers can be done in two to three years.
This is the marketing strategy of my startup.
When hundreds of thousands or millions of readers already liked my story then they have to pay to enjoy the story that I made.
If you are a visionary then you will think like this.
With the help of my great name in the world of business, my expertise in marketing, advertising, marketing by mouth, viral marketing, then collecting a million readers to ten million readers will be easy to obtain. Is not that right?
The question now is what if people like my story as they like Harry Potter? You will get tens of millions or even hundreds of millions of email addresses from readers. With that much email, we can sell anything to the readers.
Since April 2013, Wikipedia has around 26 million articles in 285 languages are written by 39 million registered users and a variety of anonymous people who are not known from other parts of the world.  Web ranked by Alexa, Wikipedia is a famous website number 6 which has been visited by 12% of all Internet users with 80 million visitors every month and it is only from the calculation of America.

resource : http://www.tahupedia.com/content/show/136/Sejarah-dan-Asal-Mula-Wikipedia

If no Wikipedia then need hundreds of thousands to millions of books required to make 26 million articles in 285 languages into books.

With the Wikipedia then people started to leave to read a book or books to seek knowledge about a subject or many subjects.

The same thing will happen. Read a story in a book or books to be abandoned. Read a story with millions of choices on the web or blog is far more interesting than reading a book or books. 

So what happens next? In 10-20 years ahead then read a story in a book to be abandoned. Otherwise my startup will grow and continue to develop into a new entertainment industry.

New entertainment industry, where I was a forerunner startup will continue to evolve. 
Therefore, in 10-20 years into the future, my startup will be earning hundreds of million USD annually.

So do not delay. Invest your money immediately to my startup. Take A Look. There are so many advantages if you want to invest in my startup.
WHY YOU SHOULD INVEST YOUR MONEY RIGHT NOW? .
IF YOU INVEST YOUR FUNDS IN ONE, TWO OR THREE YEARS INTO THE FUTURE, YOU MAY BE TOO LATE.
BECAUSE IN 1-3 YEARS INTO THE FUTURE THEN I'VE GOT THE FUNDS. THE FUNDS CAN COME FROM SOME INVESTORS, LOANS FROM BANKS OR FROM ADVERTISEMENTS POSTED ON MY BLOG.

IF I'VE GOT A LARGE AMOUNT OF FUNDS THEN I'VE NO NEED OF YOUR FUNDS. SO INVEST NOW OR NOT AT ALL.

My BLOG started to be written January 11, 2015. TODAY, MAY 30, 2015, THE NUMBER OF CLICKS HAS REACHED 56,750. SO FAR SO GOOD.

If I get big funds from investors then with a quick story that I wrote will spread throughout the world.

So I got acceleration because I can put ads in a large variety of media such as Google AdWords, Facebook, and others. I also can perform a variety of other marketing strategies.
If I do not get funding from investors then my story would still spread throughout the world. But with a longer time, Slow but sure.

So either I get funding from investors or not, the story that I wrote will remain spread throughout the world. Ha ... 7x

So don't worry, be happy.

My advice to you is you should think whether the data that I have provided to you makes sense or not .
If my data reasonable then immediately invest your funds as soon as possible.

Then we discuss how we plan further cooperation.


Thank you.
Lord Jesus bless you.
Amen
P.S. The offer letter I gave also to the hedge funds and 

venture capital and other major companies 

in the entire 

world. So who is fast then he will get it.


P.P.S. In addition, there is one more thing I 

want to tell you. If a story can generate tens 

of millions of US dollars, then what if made 


many stories? Then why do not you make 2, 3 or many stories? You will get hundreds of million USD annually. 

No comments:

Post a Comment

Related Posts

Related Posts Plugin for WordPress, Blogger...