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Friday, May 20, 2016

Google : End Of The Online Advertising Bubble

Need a professional writerFiction and non-fiction? contact richard.nata@yahoo.co.id





Google : End Of The Online Advertising Bubble

Alphabet Inc.

$720  $200
Google's clients have no clue their ads are being displayed on worsening quality websites. A growing proportion of the ads are not being seen at all. Once they become aware of the fraud and embezzlement, Alphabet's growth story is over.
April 19, 2016

Executive Summary

The online advertising market is saturated, and has no more room to grow. The traditional space for ads is overcrowded, and has started to shrink, as Internet users start to use ad blockers.
Ad placement companies have compensated by displaying ads on ever lower quality websites. Worse, they have led their clients into pay-per-display advertising instead of pay-per-click, much less efficient and difficult to track.
As a result, online advertising efficiency has been decreasing for years, and companies have to spend more ad dollars for the same result.
The process of ad placement has become ever more automated, obscure and complex, while intermediaries have multiplied, each taking a cut from the client's initial ad budget.
Controls and regulations are nonexistent, and a big chunk of ad spending is being stolen, plain and simple. Customers are growing aware of the phenomenon of ad fraud. Every new fraud scandal bears the risk of customers scaling back on online ad spending. The whole ecosystem is at risk of turning from growth to decline, overnight, in a rerun of what happened in 2000-2001.
When this happens, the smaller players will be wiped out. Alphabet/Google, who has 90% of its revenue coming from online advertising, will see its business scale back to the levels of 2010-2011, while its share price will crash to the $200-$250 area. Facebook on the other hand, has a better control of who is actually seeing its ads, and will benefit from the turmoil by gaining market share.


The online advertising market is saturated, and available ad space is in decline
Since 2011, while Google's revenues continued to grow, the average ad cost has declined. Larry Page described this while discussing the company’s Q4 2011 results as "a decline in ad quality" (Chart 1). More and more ads are being displayed, each one earning the company less and less.
Chart 1:Google cost-per-click change YoY (source: 10-K filings 2010 through 2015)
CPC change
Websites have been invaded by click ads, display ads, and forced video ad views. Naturally, Internet users have grown sick and tired of this ad pollution, and have started installing ad blocking software(Chart 2).
Chart 2:Ad blocking penetration in the US (source: PageFair)
online ad 8
What makes this trend worse is that users who install ad blockers first, tend to be the more sophisticated and the more affluent ones. This phenomenon has been exacerbated by Apple joining the party, and allowing third-party developers to sell ad blocking apps on its AppStore. This event has been widely covered by the media, publicizing the ad blocking movement (Chart 3).
Chart 3: News flow trend for Ad Blocking
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Ad BlockingApple allows ad blocking apps tobe sold on the AppStore; Safarion iOS9 makes it easy to blockadsAdBlock Plus foriPhone releasedDaily publication rate01 May 201401 Sep 201401 Jan 201501 May 201501 Sep 201501 Jan 201601234567811wall.st

The growth of online advertising has happened on subprime ad space, and customers have no choice but to take the industry's word that it's worth their money
Ad placement has become extremely automated. The growth of ad exchanges, demand-side platforms, and programmatic buying (Charts 4 & 5), has removed much of the need of human intervention in the process. User tracking enables advertisers to identify in real-time who is visiting any given website, and to match the visitor with an ad, instead of relying on the website's content to draw an approximate profile of who might be viewing the webpage.
Chart 4: News flow for Ad Exchanges and Demand Side Platforms
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Ad ExchangesDemand Side PlatformsYahoo buys Right MediaGoogle buys DoubleClickDaily publication rate01 Jan 200601 Jan 200701 Jan 200801 Jan 200901 Jan 201001 Jan 201101 Jan 201201 Jan 201301 Jan 201401 Jan 201501 Jan 201600.
Chart 5: News flow for Real Time Bidding and Programmatic Buying
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Real Time BiddingProgrammaticBuyingDaily publication rate01 Jan 200601 Jan 200701 Jan 200801 Jan 200901 Jan 201001 Jan 201101 Jan 201201 Jan 201301 Jan 201401 Jan 201501 Jan 201600.
Automation has brought down the cost of deciding whether it's worthwhile to place an ad, and user tracking has made websites' content less relevant. It has become economical to place ads on low-end websites for cheap, because the marginal cost of placing an ad has become so low.
This means that the growth of online advertising has happened on subprime ad space. The industry's argument is that it's still worth their customers money, thanks to algorithms that check everything about the user, his browsing history, the cookies on his browser, his hardware data. This is a compelling case, because the prime as space on the Internet (websites such as The Economist, the New York Times) are very expensive. However, customers paying for their ads to be displayed have practically no way of making sure their ads are being displayed to the right people.
Moreover, the industry has been pushing for more advertising budgets to be allocated to "display ads", particularly on mobile, where Internet users click on ads much less than on desktops. The huge red flag with this practice is that customers have no means of knowing if their ad dollars are being spent efficiently. With pay-per-click, at least someone is coming to their website. With display ads, they are merely paying for exposure and such vague concepts as "brand awareness".
It’s not even clear if a visitor actually sees a "display" ad, and the industry is trying to set up a "viewability" standard for this type of ads. Currently, it is assumed that an ad has had a "reasonable chance of having been viewed by the visitor, if at least 50% of its pixels were displayed on the visitor’s browser for at least one continuous second". This definition alone lets you understand how murky this type of advertising actually is.
"Display" caught up with pay-per-click in 2015, and is projected to reach $32.2 billion in the US in 2016, vs $29.3 billion for PPC.

The efficiency of online advertising has been in decline for years
We have found five companies who provide some details about their online advertising budget: Ebay, Amazon, TripAdvisor, Expedia and Priceline. Combined, they have spent over $10 billion on online marketing in FY2015, mainly on digital ads. Their ROI of online advertising is declining: businesses need to spend more for every additional dollar of sale (Chart 6).
Chart 6:Change in advertising and sales, from 2010 to 2015 (source: SEC 10-K filings)
online ad 2
Since 2010, their online ad spending outgrew their online B2C sales. This is a general trend in e-commerce: Google’s revenues are up 156% from 2010 to 2015, while online B2C sales roughly doubled. This is clearly not sustainable.
The marketing departments of these online businesses are well versed in online ads, true insiders to the market, and even their advertising efficiency is declining. One can only imagine the dreadful returns for outsiders, companies like Verizon or Walmart. Very few companies are transparent in their ad spending, so it’s impossible to really know what’s going on in their marketing departments.
The decline in bang for every ad dollar spent is proof that the expansion of online advertising is being done to the detriment of customers, in ever less productive campaigns.

The ecosystem has become obscure, complex, and intermediaries are taking an ever bigger cut
The automatization of ad placement has led to a complexification of the industry, with much more intermediaries. From a simple Client - Advertising Agency - Publisher relationship, we ended up with something like this (Figure 1):
Figure 1:Industry value chain
online ad figure 1
  1. The Client demands the Advertising Agency to run an ad campaign.
  2. The Agency tells its Trading Desk what kind of ad space to buy, according to the Client’s requirements regarding its target consumer.
  3. The Trading Desk establishes a set of guidelines, and asks a Demand-Side Platform (DSP) to buy ad space according to these guidelines. DSPs are buying specialists, they run intelligent algorithms to pick the cheapest ad space relative to its quality.
  4. The DSP keeps tracking all the ad spots that come up for sale on Ad Exchanges, establishes the value of every one of them, and bids for the most relevant ones. It uses data from various data providers to come up with its valuations.
  5.  The Ad Exchange is an open platform that enables websites to place their available ad space for anyone to buy in an auction.
  6. The websites themselves try to attract traffic. They receive traffic naturally, from ingoing links, search engine results, and returning visitors. However, they can also buy traffic from Traffic Brokers (for ex. Taboola and Outbrain, two « content discovery platforms »).
N.B.: we have very much simplified the way things work. Advertising Agencies can still go directly to publishers, or use Ad Networks for various degrees of customization. We are dealing there with the ad placement system that has witnessed the highest rate of growth over the last years.
Twenty years ago, the client could see his ads being displayed in the latest print edition of the New York Times, and know that his ads have been seen by the specific demographic of that particular newspaper. Today, its ads will be displayed on an alphabet soup of websites, and will be seen by a wide array of visitors.
The Rubicon Project, an ad tech company, sums this up in its 10-K filing for FY2015: "Due to the size and complexity of the advertising ecosystem and purchasing process, manual processes can no longer effectively optimize or manage digital advertising. […] This has created a need to automate the digital advertising industry and to simplify the process of buying and selling advertising."
The customer has very little way to control and check if his advertising campaign is being done properly. He has to take the insiders' word for it. This obviously creates a perverse incentive for insiders to place the customer's ads on lower quality websites, and to show them to lower quality visitor profiles. Once again, the industry claims that its super-smart algorithms are making sure the customer's money is well spent. However, something seems very wrong in this system, and here's some insight. Look at what it costs Rocket Fuel, a DSP specialist, to buy ad space that it resells for $1 to the advertisers (Chart 7).
Chart 7:Rocket Fuel cost of ad space per $ of revenue, dollars (source: SEC 10-K filings)
online ad 6
This is just crazy. Rocket Fuel’s revenue rose from $17 million in 2010 to $409 million in 2015, while its operating margin expanded, with fierce competition in the market. Are their algorithms that smart, or are they just placing ads on lesser quality, i.e. cheaper, i.e. subprime ad space, while reassuring clients that everything's fine?
The automation of the process, and its complexification, has gradually removed transparency. The client who pays for his ads to be displayed, is hiring more and more intermediaries. Intermediaries are raising their margins, without the client really knowing. Moreover, the client is less and less aware of who is actually seeing the ads. Unless he specifically asks to have detailed reports on who has seen his ads, the intermediaries are free to show these ads to whoever they want, wherever they want.
The websites themselves, by resorting to traffic brokers, are less aware of who their own visitors are. Content discovery platforms, such as Outbrain and Taboola, redirect traffic in new and unpredictable ways, and it’s not really clear who or how is checking the traffic’s quality. Traffic brokers’ incentive is to generate as much traffic as possible, while the websites don’t have the know-how to verify if this traffic is genuine. The big publishers themselves (Bloomberg, the Huffington Post) admit to buying traffic, although for « small percentages of their overall traffic ». As long as nobody complains, everyone has an incentive not to question the system.

There's a great deal of fraud, controls are non-existing, and customers are growing aware of it
Technology makes it easy to buy ever cheaper ad space, with the rationalization that "we’re buying cheap stuff, but we’re making sure it’s worth the price, with artificial intelligence, machine learning and big data". Without controls, we’re bound to end up buying worthless things while pretending that they’re valuable. Think of the subprime bubble: when everyone who could qualify for a mortgage got one, mortgage lenders started making loans to people who should never have qualified.
Lesser incentives to control and account for the buying of ad space are leading to fraud, and the media is starting to report on the phenomenon (Chart 8).
Chart 8: News-flow dynamic analysis of Ad Fraud
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Ad FraudGoogle buys Spider.io after thestartup reveals big scale ad fraudschemes, one of them involvingYouTubeMalware infectsYahoo’s adnetworkDaily publication rate01 Jul 201101 Jan 201201 Jul 201201 Jan 201301 Jul 201301 Jan 201401 Jul 201401 Jan 201501 Jul 201501 Jan 201600.
TechCrunch reported in January 2016 that ad fraud could reach $8.2 billion in 2016. Clients are being deceived on the quality of people who are seeing their ads.
  • ads are placed on ineligible websites (porn sites, illegal video streaming, fake or stolen content, pop-ups and zero-sized images).
  • ads are being clicked and seen by fake visitors. Groups of professional ad clickers ("click farms") in countries with low labor costs (India, Pakistan, Egypt) make it look like a lot of people are engaging the ads. Bots are simulating visitors, emulating browsers populated with high-quality cookies and human-like behavior (mouse movement, page scrolling).
Independent studies have revealed that ad campaigns are polluted by fake clicks and bots. An experiment by the traffic quality verification startup Oxford BioChronometrics has shown that under certain circumstances, bot traffic generated by ads on Google, LinkedIn and Facebook may be as high as 90%. Bots can be highly evolved, emulating a human-like behavior, and virtually impossible to detect, rendering ad campaigns useless. "Traffic arbitrage", where an intermediary buys cheap (fake) traffic and resells it to traffic brokers or publishers, is virtually risk-free to the perpetrator. At worse, his account will be shut down.
Google doesn’t mention "fraud" even once in its SEC filings, but the smaller players, such as Rocket Fuel and Millennial Media, refer to it more than 15 times on average in their 10-K, as a risk factor. Google’s operational stance is that its own customers should check the quality of the visitors its advertising platform is bringing in. Google has setup a form to claim a reimbursement for fraudulent traffic (if ever its customers were able to identify it, and prove that it was fraudulent), but makes no assurances as to how much it will actually pay back.
The industry has a huge incentive to downplay and hide the extent of ad fraud, as it’s very lucrative. There are only so many high-quality visitors on the Internet, and to really filter out low quality viewers would annihilate the market for subprime ad space.

We've seen this before, at the end of the DotCom bubble
We are living through the latest stages of the online advertising bubble, as available high-quality ad space is shrinking, leading to a decline ad space quality, and a decline of ad efficiency. Awareness for fraud is growing, and soon, clients will cut their online ad spending, and demand higher accountability. This will destroy the high-margin market of automated reselling worthless ad space, and will force advertisers to focus only on prime publishers, with expensive ad space.
This is a re-run of the online advertising crash of the early 2000s, when the proliferation of banners and pop-ups destroyed any value these ads had (and led people to install pop-up killers, just like with ad blockers today). It took one Google to come up with contextual advertising to bring the market back to life.

Roadmap & Playbook

We estimate that the online advertising market has been artificially inflated since the end of 2013, and is much more mature than its pundits are claiming. 90% of Google's revenues come from advertising. We expect Alphabet’s share price to go down by 75%. We get this number by revising its earnings down by 30%, stripping its 30x PE off its "growth premium" down to 15x, and factoring in the reputational damage. Other, nimbler "ad tech" players will be wiped out (Rocket Fuel, Millennial Media, Tremor Video, The Rubicon Project).
A larger number of companies will be impacted, as a growing number of third-party tech giants are involved in the advertising play (Oracle, Amazon, Salesforce), and we expect the whole tech sector to be hard hit by the unwinding of the bubble. A special case must be made of Facebook, as we believe that their platform is harder to crack, and they have a better ability to track their users, and fight ad fraud. They will be the stepping stone for investing in online advertising, once the dust settles.
Currently, January 2018 Alphabet puts with a strike of $400 are trading at around $8, for a 20x return should our scenario materialize.
ProbabilityEventEarly signs
60%Awareness for fraud and the inefficiency of online ads grows past the point of no return over the next 2 years. The whole sector crashes as clients reduce spending and demand better reporting and transparency.
  • Big companies cut their online ad spending without giving reasons.
  • New scandals about ads being seen by robots.
  • Growing penetration of ad blockers.
30%Google & al. manage to somehow improve reporting and accountability without hurting their market share. They manage to convince clients that there’s no reason to worry about the decline in ad quality and ROI.
  • PR campaigns by the big players to explain how they are fighting fraud.
  • Traffic quality verification startups are discredited (PR again).
  • Apple reverses its stance on ad blocking.
10%The bubble goes on, as the decline in advertising ROI leads clients to spend ever more in a struggle for an elusive presence online.
  • News flow on ad fraud dies out.
Sarunas Barauskas, s.barauskas@kalkis-tech.com
Philippe Gondard, p.gondard@kalkis-tech.com


We got tons of feedback and very interesting criticism on this piece. A lot of it deserves to be added to the article and discussed. A lot of comments came from people who obviously knew more about how the system works, than we do. Thank you for taking your time, really. 

Q: Google is very serious about fraud prevention.
True, Google has a whole division dedicated to fraud prevention. Most of the people who worked for Spider.io, the startup that rang a warning bell about Youtube being polluted by fake views in 2013, still work there.
However, they are taking the approach "we’re fighting it, just trust us". Their practice for reimbursing clients for fraudulent ad views is unclear. They have a webpage for such complaints, but the requests are treated one by one, while an automated system deserves to be put in place.
They are taking the approach that "every customer is responsible for what he’s buying". Sorry, that’s a bunch of BS. They have a fiduciary duty to assist their clients. The whole subprime mortgage fiasco was based on the same argument. The whole online advertising ecosystem got overly complex and obscure. 

Q: Google’s ads on its search engine are legit.
We mostly agree. The search engine is an amazing asset for the company. The CPC on google.com has risen year after year (the opposite of the overall CPC), it’s one of the highest quality ad real estate there is. However, its ad system has its flaws, too. You can research on Google’s own forums clients complaining that someone (a competitor) purposefully clicks on their ads until the daily ad budget is exhausted. Nothing prevents bots to click on your ads, on purpose or not, and you’ll be charged for nothing.
We believe that the search engine will survive any downturn, and will remain a cash cow for years to come. But it’s saturated, there is no more place to grow except by continuing to increase ad prices. The whole expansion since 2011, since CPC started declining, has been done on low quality, subprime ad real estate. This segment needs to be cleaned up. We’re only calling for a 30% decline in earnings, which would be maybe a 10%-15% decline in their revenues. The search engine ad segment doesn’t need to shrink at all, to get to that level. 

Q: We were paid by Facebook.
I wish. Nobody here owns any Facebook shares, either. We’re not short Google. It’s just a research piece. The opinion that Facebook’s ecosystem is more efficient and better at picking fraud is not ours. It’s feedback from insiders, the middlemen who work at advertising agencies.
The piece on Virtual Reality is unconnected, we wrote it a couple of months ago. It’s a positive note, too, because we get the feeling that Facebook is diversifying away from the online advertising market and into video games. They’ve made this choice two years ago, when the other tech giants were working on smartphones. This was a smart move, objectively. We’ll see how it all ends. 

Q: It’s all baseless speculation.
We base our research on subjects that are gaining traction in the overall news flow. We have found 94 articles about "ad fraud" over the last 5 years, only looking at influential, qualified sources (http://11wall.st/?to=2016-05-04&from=2011-05-04&query=%22ad+fraud%22&group=all&nz=0&k=%22ad+fraud%22%3B&p=y5). So, no, we’ve not dreamt this up, this is something real that the media is talking about. This is the whole point: as coverage of online advertising’s shortcomings grows, people will start to grow aware of it, and will start to question the system. 

Q: Advertising is about building awareness, so display ads work just fine.
This is a recurrent argument in tech companies. David Ogilvy, one of the founding fathers of advertising, would beg to disagree. The sole purpose of ads is to sell. Awareness is a vague, self-serving concept that’s peddled by social media experts because it rationalizes their own existence. It cuts the link between return and investment. It strips the people in charge of spending ad budgets from any responsibility when nothing happens. "Well, we spent a million bucks on ads, nothing happened, but the important thing is that now people know we exist". OK then. 

Q: Large advertisers, which comprise 95%+ of Google’s ad revenue, know what they’re doing.
First, there is no way to know Google’s market segmentation, which is very frustrating when you try to analyse the company. The last statistics go back to 2011, and were compiled by WordStream, an advertising agency, based on their own portfolio of clients. Since then, Google changed the way its API works, restricting access to data about third-party accounts, so there’s no way to know. Frankly, this is a red flag, they are actually putting efforts into making the system more obscure.
We know that big accounts have dedicated teams inside of Google working for them. So yeah, the more money you have, the better you are served, that’s just life.
Most of companies don’t even disclose their ad budgets. We had to spend a lot of time just to find the five we used for our chart, and Ebay is not the best example either. Or maybe they’re the best, just cutting their ad spending because they realized it’s a losing battle.
There are inherent conflicts of interest in the system. For example, advertising agencies are typically paid a percentage of the ad budget. They are incentivized for the ad budget not to shrink, which might happen if they get a better bang for every dollar spend on ads. 

Q: The pop-up killers didn’t cause the DotCom bubble to burst.
Of course not. However, pop-up killers were a very good indication that people had grown sick and tired of pop-ups, just like they are now with ads, which leads them to install ad blockers. Online ads’ efficiency as a marketing tool is well past its prime. It’s a macro measure of societal behavior. And it doesn’t bode well for businesses who make a living placing ads. 

Q: Google is making money by selling its data about its users, and using the ad business as a fa├žade.
No, we really don’t believe that. Google’s revenues have risen in line with the marketing costs of the five companies that disclose their online marketing spending. 

Q: Google is cooking its books.
No, really they don’t. It would have made for a much better piece. Also my mom would have loved to see me on CNBC.

More Q&A

Google makes money out of the ads displayed on its search engine, which are of a very high quality. The subprime ad space thesis doesn’t make sense.
The part of Google’s revenue that comes from its search engine ads is not disclosed in the company’s filings. What is disclosed is that for FY2015, 22% of revenue came from "Google Network Members websites", which includes AdSense and AdMob. The other 78% of revenue came from "Google websites", and include (excerpt from Google"s 10-K SEC filing):  "clicks on advertisements by end-users related to searches on Google.com, clicks related to advertisements on other owned and operated properties including Gmail, Finance, Maps, and Google Play; and viewed YouTube engagement ads like TrueView (counted as an engagement when the user chooses not to skip the ad)". The search engine ads are part of that 78%, but it’s impossible to tell exactly what percentage of total revenues they represent. It’s very frustrating not to be able to understand where Google’s revenues come from. In my opinion, they should disclose it, but they don’t. 

Online ads still work and are still worth the money. It’s just that we haven’t reached a point of equilibrium between price and efficiency yet. The bang for the buck is still good enough, so businesses are piling in. Whether the point of equilibrium is reached by rising ad costs, or by declining efficiency rates (may it be because of ad fraud, or because people install ad blockers), makes no difference.
We strongly disagree. It’s the industry’s duty to fight fraud, for the sake of their clients. Letting and abetting is a crime, too. 

There’s always some fraud in every system. Google is fighting ad fraud as hard as it can. It is mainly the problem with the new, smaller ad tech players. To generalize a few negative events reported by the media, to the whole industry, is pernicious and short-sighted.
We would tend to agree. Some of the new players are much more aggressive, and their strategy is to sacrifice quality for the sake of market share. They have little choice: grow big or die, which is not the case for Google, who can afford to pay attention to quality. However, we know Google has had some mishaps with fake views on Youtube. They are not immune. A crisis in the newly minted ad tech industry would lead to a loss of confidence in Google as well. 

Fraud is a tax on the system, and everybody’s paying for it. This also includes Google, so they have to fight it.
No, Google is not paying the tax, only its clients do. Google takes a cut on all ad views & clicks, whether they’re legit or not. This puts all of the incentive to fight ad fraud on its clients, which isn’t optimal. Google is the one in the better position to fight ad fraud, they have more data on views & clicks, and more know-how. 

The clients can see the ROI of their ad spending in real time, so if something’s really wrong, they will notice it.
Google’s clients have to point of reference. If the ROI changes slowly over time, they won’t notice it. If it changes quickly, they are being told that the pricing of ad space is highly volatile, or that Google’s algorithms have changed. Over and over again, they have to take Google’s word for it. 

Google could not be so short-sighted as to let fraud happen for the sake of a few quarters of increased revenues, as it would hurt them much more in the long run.
Google is but the sum of people who work there. Its employees don’t necessarily have the right incentives to think for the long run. If sales teams can sell big contracts, and get a big bonus at the end of the year, that’s exactly what they will do. Think of the finance industry. 

Google gets most of its revenue from click ads, so the argument about display ads is mostly invalid.
On paper, this is true. We estimate that 20% of Google’s revenues come from display. We get to that figure from Google’s 13% share of the US display market in 2015, a 50/50 mix for display/click, and the assumption that the worldwide mix is the same as for US. In theory, if a crisis of confidence unravels in display ads, Google would be globally immune. Their sales teams could even convince clients to switch from display to click, gaining market share. However, we don’t think that a crisis in display ads could be contained. The loss of confidence would spread to click ads immediately. No executive would take the career risk of putting money in click ads, after just learning that display ads revealed themselves to be a waste of time and money.

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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 :

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.


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: 







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 


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.


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.
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.

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