buyer beware - I did the research - you decide
"IN A RECENT STUDY, ADOBE FOUND THAT ABOUT 28% OF WEBSITE TRAFFIC SHOWED STRONG “NON-HUMAN SIGNALS,” LEADING THE COMPANY TO BELIEVE THAT THE TRAFFIC CAME FROM BOTS OR CLICK FARMS. THE COMPANY STUDIED TRAFFIC ACROSS WEBSITES BELONGING TO THOUSANDS OF CLIENTS.
WOW MUST READ
12/2/2020
Click the image to read
‘Virtually All Fraud’—Were You The Perp, The Conduit, Or The Sucker?
After years and years of doubt, advertisers buying digital media should get comfortable hearing the phrase “virtually all fraud” more and more often. The question is whether marketers want to 1) take action to get out ahead of these stories or 2) ignore and continue to cover up their knowingly buying “virtually all fraud” digital ads.
After years and years of doubt, advertisers buying digital media should get comfortable hearing the phrase “virtually all fraud” more and more often. The question is whether marketers want to 1) take action to get out ahead of these stories or 2) ignore and continue to cover up their knowingly buying “virtually all fraud” digital ads.
BUYER BEWARE – YOUR DIGITAL MARKETING CAMPAIGNS ARE LIKELY TO BE FULL OF FRAUD BY CLICK FARMS AND BOTS.
updated - new statistics -
"In Digital, ‘Wanamaker’s 50%’ Is Known. It’s Also Worse Than That".
Forbes Article 1/06/2021
updated - new video - how facebook click "like" farms work - below
updated - wall street journal 03-28-2018
bOTTOM OF THE ARTICLE
update - facebook busted for misleading video metrics
Updated 10/17/2018 - Bottom of the page
Recently I wrote about my thoughts and research about how people do not like your digital ads – ALL THE HYPE ABOUT ONLY USING DIGITAL FOR YOUR RETAIL STORES MARKETING-I'M NOT BUYING IT – Yep over 75% of people think they’re intrusive and more. Now add this to the mix. Maybe those that are supposedly liking/following/clicking on your ads may be fraudulent.
For close to two years I’ve been inundated with the next best digital marketing platform that we could utilize to help our retailer and brand clients get the most out of utilizing the web to show more, tell more and most of all sell more.
Remember the adage from John Wanamaker –
“Half the money I spend on advertising is wasted; the trouble is I don't know which half”. Well this may be truer today than back in the turn of the century when he stated it.
I’ve sat through dozens of presentations and I must be honest, I don’t understand a lot of what they are presenting and I’m a pretty smart guy. I explain to these people that if I don’t understand it, how will my clients understand it.
After all this time, I think I found a platform I can get behind, more on that later. First, I need to address the elephant in the room. AD FRAUD.
With all these companies out there promoting the next best FAD MARKETING gimmick, I asked myself the question: What is the ROI reality of these so called digital ad driven companies? I always hear the words/statements “We Increased Conversions by XXX%”. People, conversions are clicks and these are riddled with potential AD FRAUD and here is why and how it’s done and you don’t know it’s happening.
According to Business Insider, a study commissioned by WPP, clicks automatically generated by bots, could reach $16.4 billion in 2017 and could reach over $50BN in 2025. Hey, this fraud and the profits are second only to organized crime’s drug trade!
For close to two years I’ve been inundated with the next best digital marketing platform that we could utilize to help our retailer and brand clients get the most out of utilizing the web to show more, tell more and most of all sell more.
Remember the adage from John Wanamaker –
“Half the money I spend on advertising is wasted; the trouble is I don't know which half”. Well this may be truer today than back in the turn of the century when he stated it.
I’ve sat through dozens of presentations and I must be honest, I don’t understand a lot of what they are presenting and I’m a pretty smart guy. I explain to these people that if I don’t understand it, how will my clients understand it.
After all this time, I think I found a platform I can get behind, more on that later. First, I need to address the elephant in the room. AD FRAUD.
With all these companies out there promoting the next best FAD MARKETING gimmick, I asked myself the question: What is the ROI reality of these so called digital ad driven companies? I always hear the words/statements “We Increased Conversions by XXX%”. People, conversions are clicks and these are riddled with potential AD FRAUD and here is why and how it’s done and you don’t know it’s happening.
According to Business Insider, a study commissioned by WPP, clicks automatically generated by bots, could reach $16.4 billion in 2017 and could reach over $50BN in 2025. Hey, this fraud and the profits are second only to organized crime’s drug trade!
But that’s not all. Look at this:
Adloox conducted its study across 200 billion daily bid requests, 4 billion ad calls, and 10 billion ad impressions a month, over a period of 12 months.
Adloox conducted its study across 200 billion daily bid requests, 4 billion ad calls, and 10 billion ad impressions a month, over a period of 12 months.
Across the 200 billion bid requests, 50% were detected as being either non-human traffic (either a bot or a hijacked device) or fraudulent traffic, which includes bad actors trying to spoof real web domains to attempt to pass off to ad buyers as premium publishers.
John Wanamaker would be proud!
even google admits that this is a huge problem
Google Issuing Refunds to Advertisers Over Fake Traffic, Plans New Safeguard
08-25-2017
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Alphabet Inc.’s GOOGL -0.41% Google is issuing refunds to advertisers for ads bought through its platform that ran on sites with fake traffic, people familiar with the situation said, as the company develops a tool to give buyers more transparency about their purchases.
In the past few weeks, Google has informed hundreds of marketers and ad agency partners about the issue with invalid traffic, known in the industry as “ad fraud.” The ads were bought using the company’s DoubleClick Bid Manager. Google’s refunds amount to only a fraction of the total ad spending served to invalid traffic, which has left some advertising executives unsatisfied, the people familiar with the situation said. Google has offered to repay its “platform fee,” which ad buyers said typically ranges from about 7% to 10% of the total ad buy. |
HERE'S THE WORST PART. AD FRAUD IS NOT ILLEGAL
One of the biggest reasons fraud is so rampant is simply that it’s not illegal. Unlike credit card fraud, bank fraud, false advertising, etc., nobody is going to jail for ad fraud, and it’s not exactly the sort of activity that elicits a crackdown from law enforcement, which means there is significantly less risk involved. And yet it’s extremely lucrative.
So what are the two main culprits in this massive fraud.
#1 – CLICK FARMS
Click Farms are usually located in developing countries with very low wage rates, such as the Philippines, India, and Bangladesh, among others. Many use proxy servers or VPN. Workers are paid low amounts, perhaps one dollar for a thousand Facebook Likes. Most probably earn about $300 to $400 a year.
The Click Farms then sell their likes and followers at a much higher price.
You can check this yourself.
Just Google the words “Buy Facebook likes” and you’ll find several companies listing prices. They include Buy Cheap Social at $16 for 1,000 ‘real human likes’; BoostLikes at $71 per 1,000 likes; or iBuyFans with 1,000 likes for $17.99 or 10,000 for $149.99.
The Click Farms then sell their likes and followers at a much higher price.
You can check this yourself.
Just Google the words “Buy Facebook likes” and you’ll find several companies listing prices. They include Buy Cheap Social at $16 for 1,000 ‘real human likes’; BoostLikes at $71 per 1,000 likes; or iBuyFans with 1,000 likes for $17.99 or 10,000 for $149.99.
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There are ways to check the validity of your followers. One such option is available for Twitter called Twitter Audit. I used it on my @NapierMarketing Twitter account and I’m happy to say that 98% of my followers are all real. One thing, however, I have 1,557 followers, more than the 1,398 followers they claim).
BUT who are the 16 followers that are fake? I check every request “to follow”, LinkedIn, etc. I review profiles, everything before I accept and it looks like I got duped by 16 people which reaffirms my statement BUYER BEWARE! When people follow me, I’m astounded when I see they have 100M followers, etc. Hmmmmmm I ask myself. |
Follow us - unless you are a BOT ;-)
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There is even an advertisement that’s in your face called www.clickmonkeys.com. When researching this article, they came up #1 organically in Google’s search.
Their claim to fame and marketing message is to solicit marketers who are under pressure to have their social platforms perform. If you hire them, you’ll get the clicks/followers, etc. to boost your rankings, creating a perception that you “are liked/loved”.
Their claim to fame and marketing message is to solicit marketers who are under pressure to have their social platforms perform. If you hire them, you’ll get the clicks/followers, etc. to boost your rankings, creating a perception that you “are liked/loved”.
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Their statement on how they work states:
Would we be offering this service over the Internet if it weren’t legal? Hell no! Click Monkeys!!™ is a Ukrainian company and the giant tanker ship click farm we have stationed just outside U.S. waters off the coast of San Francisco is registered at a Ukrainian berth so we’re not subject to any U.S. laws! |
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Over 20,000 Click Monkeys!!™ live and work aboard our click farm. They work in shifts of 5,000 24 hours aday, 7 daysa week, 365 days a year!! Each monkey is able to access 12 pages per minute which gives us incredible traffic potential, just look at this math:
1 monkey x 1 hour = 720-page views/clicks 1 monkey x 1 day = 17,280-page views/clicks 5,000 monkeys x 1 day 86,400,000 page views/clicks!!!! |
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If you Google the phrase Click Farm Fraud you’ll get:
#2 BOTS
In a recent article in ADWEEK it was written “Online ad fraud driven by bots will cost brands $7.2 billion globally this year, according to a forecast in a new joint study by the Association of National Advertisers and White Ops. That's up from the $6.3 billion the two organizations predicted in a similar report for 2015.
WHAT IS A BOT. ACCORDING TO ZVELO
Ad fraud happens when a bot attempts to imitate legitimate web traffic (acting like a real person visiting a website) and generate additional (but fraudulent) web page views (and therefore revenue) for the website publisher. The advertisers’ budgets are compromised, as their dollars are being wasted on ads being served to bots rather than humans. This results in the advertisers and the end users paying the price for this fraud, as well as being exposed to the risks associated with malicious and fraudulent bots. Recent estimates have put the cost of Ad fraud at 20-30% or more of the online advertising spending, or several billion dollars a quarter.
Some tactics deployed by Ad-fraud bots are:
- Retargeting Fraud: This bot can mimic a human’s intentions, such as an interest in a specific brand of car. Ads targeted to a particular niche result in a higher CPM than untargeted ads. These bots deceive advertisers into believing they are receiving valuable, targeted traffic and clicks.
- Sophisticated Fraud: This type of bot travels around the web to visit websites, view ads and clicks using sophisticated algorithms. Think of it as a digital ghost that is always boosting the click-through numbers.
- Ad-fraud Botnets: These bots run quietly in the background of infected computers without making their presence known to the owner. Then, under the hacker’s remote control, the botnet — which can be rented through black-market Internet forums — is directed to visit certain websites. The most sophisticated bots are programmed to click from one website to another, watch videos for their duration, and even add items to an online shopping basket”.
Advertising Age had a headline;
Report: For Every $3 Spent on Digital Ads, Fraud Takes $1
WOW, 30% is contributed to fraud, John Wanamaker may like this because it’s less than his 50%, but are you willing to accept these numbers? I’m not
Report: For Every $3 Spent on Digital Ads, Fraud Takes $1
WOW, 30% is contributed to fraud, John Wanamaker may like this because it’s less than his 50%, but are you willing to accept these numbers? I’m not
EMARKETER HAS WEIGHED IN ON THIS FRAUD, TOO
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So what should you do?
Part 2 of this blog will focus on specifics
First, focus on real people. Email campaigns and digital marketing companies that focus on a users IP address that can marry that information to a real home address and prove it. There are companies out there like El-Toro.
I’ve been talking to them for a year, and their case studies in the furniture industry have me convinced they have a better mousetrap. Why? Because they hate “click marketing” and their case studies show successes in sales dollars vs. spend, instead of the ubiquitous Clicks/Conversions vs. sales dollars spent. You can find out more of how this works on my website: www.napiermkt.com
Second, make sure that whoever is running your digital campaigns “prove to you” that the traffic generated is real.
If you Google Digital Ad Auditing, you’ll find 3,600,000 results
I’ve been talking to them for a year, and their case studies in the furniture industry have me convinced they have a better mousetrap. Why? Because they hate “click marketing” and their case studies show successes in sales dollars vs. spend, instead of the ubiquitous Clicks/Conversions vs. sales dollars spent. You can find out more of how this works on my website: www.napiermkt.com
Second, make sure that whoever is running your digital campaigns “prove to you” that the traffic generated is real.
If you Google Digital Ad Auditing, you’ll find 3,600,000 results
If your digital ad company doesn’t give you a full audit, RUN. If they audit shows a percentage of potential BOT/Click Farm Fraud, make sure you get a credit back for that percentage.
In summary, I hate FAD MARKETING. FAD MARKETING is where a marketing person pushes out information on the newest/coolest FAD without providing Due Diligence. They talk their retailers into a platform to spend or waste their money on the newest supposed best way to attract and engage customers. They report ambiguous statistics, use generalities in their results and only provide one side of the equation
That hurts our retailers, makes them suspicious of new or traditional programs that do work, which in turn hurts their profitability and speeds up their demise.
In summary, I hate FAD MARKETING. FAD MARKETING is where a marketing person pushes out information on the newest/coolest FAD without providing Due Diligence. They talk their retailers into a platform to spend or waste their money on the newest supposed best way to attract and engage customers. They report ambiguous statistics, use generalities in their results and only provide one side of the equation
That hurts our retailers, makes them suspicious of new or traditional programs that do work, which in turn hurts their profitability and speeds up their demise.
BUYER BEWARE
But there is more ... MUCH MORE. Keep reading
yep - facebook too - watch the video
Click the logo to read the article and another instance of fraud
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"LIKE" Click Farms |
clicking ads
so you don't have to.
This company, under the guise of "DOING GOOD" actually does really bad things to your ad budget.
BUYER BEWARE.....AGAIN
BUYER BEWARE.....AGAIN
Click the image to learn more
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As online advertising becomes ever more ubiquitous and unsanctioned, AdNauseam works to complete the cycle by automating Ad clicks universally and blindly on behalf of its users. Built atop uBlock Origin, AdNauseam quietly clicks on every blocked ad, registering a visit on ad networks' databases. As the collected data gathered shows an omnivorous click-stream, user tracking, targeting and surveillance become futile.
AdNauseam is a free browser extension designed to obfuscate browsing data and protect users from tracking by advertising networks. At the same time, AdNauseam serves as a means of amplifying users' discontent with advertising networks that disregard privacy and facilitate bulk surveillance agendas. |
AdNauseam joins a broader class of technical systems that attempt to serve ethical, political, and expressive ends. In light of the industry's failure to self-regulate or otherwise address the excesses of network tracking, AdNauseam allows individual users to take matters into their own hands, fighting back against unilateral surveillance. Taken in this light, the software follows an approach similar to that of TrackMeNot, employing obfuscation as a strategy to shift the balance of power between the trackers and the tracked. For further information on this approach, please see this paper.
Marketers thought the Web would allow perfectly targeted ads.
Hasn’t worked out that way.
Click the image to read the article - BE SACRED ... VERY SCARED
new updated article - 03-28-2018
Fraudulent Web Traffic Continues to Plague Advertisers, Other Businesses
read the original article here
By
Alexandra Bruell
March 28, 2018 7:00 a.m. ET
Alexandra Bruell
March 28, 2018 7:00 a.m. ET
Web traffic is rife with bots and non-human traffic, making it difficult for ad and media businesses to understand who is visiting their sites and why, according to new findings from Adobe .
In a recent study, Adobe found that about 28% of website traffic showed strong “non-human signals,” leading the company to believe that the traffic came from bots or click farms. The company studied traffic across websites belonging to thousands of clients.
Adobe is currently working with a handful of clients in the travel, retail and publishing industries to identify how much of their web traffic has non-human characteristics. By weeding out that misleading data, brands can better understand what prompted consumers to follow their ads and ultimately visit their websites and buy their products.
“It’s really about understanding your traffic at a deeper level. And not just understanding, ‘I got this many hits.’ What do those hits represent? Were they people, malicious bots, good bots?” said Dave Weinstein, director of engineering for Adobe Experience Cloud.
While hardly the first study of online fraud, Adobe’s findings are one more indication of how the problem has roiled the fast-changing ad, media and digital commerce industries, while prompting marketers to rethink their web efforts.
Non-human traffic can create an “inflated number that sets false expectations for marketing efforts,” said Mr. Weinstein.
Marketers often use web traffic as a good measure for how many of their consumers saw their ads, and some even pay their ad vendors when people see their ads and subsequently visit their website. Knowing more about how much of their web traffic was non-human could change the way they pay their ad vendors.
Advertisers have told Adobe that the ability to break down human and non-human traffic helps them understand which audiences matter “when they’re doing ad buying and trying to do re-marketing efforts, or things like lookalike modeling,” he said. Advertisers use lookalike modeling to reach online users or consumers who share similar characteristics to their specific audiences or customers.
Ad buyers can also exclude visitors with non-human characteristics from future targeting segments by removing the cookies or unique web IDs that represented those visitors from their audience segments.
In addition to malicious bots, many web visits also come from website “scrapers,” such as search engines, voice assistants or travel aggregators looking for business descriptions or pricing information. Some are also from rivals “scraping” for information so they can undercut the competition on pricing.
While bots from big search engines and aggregators tend to overtly present themselves as bots, and can easily be discounted from human web traffic, a small percentage of scrapers generate visits even if they’re not intentionally posing as visitors, said Mr. Weinstein.
“We realized that with the growth of things like Alexa and Google Home and other assistants, increasingly more and more traffic is going to be automated in nature,” he said. “In the long term, real humans at real browsers will be a diminishing portion of traffic.”
While there aren’t any plans to monetize a tool that can analyze non-human web traffic for clients, Adobe eventually could use it to sell something like a “bot score,” said Mr. Weinstein. For now, the company will likely just build the function into its existing analytics products.
In a recent study, Adobe found that about 28% of website traffic showed strong “non-human signals,” leading the company to believe that the traffic came from bots or click farms. The company studied traffic across websites belonging to thousands of clients.
Adobe is currently working with a handful of clients in the travel, retail and publishing industries to identify how much of their web traffic has non-human characteristics. By weeding out that misleading data, brands can better understand what prompted consumers to follow their ads and ultimately visit their websites and buy their products.
“It’s really about understanding your traffic at a deeper level. And not just understanding, ‘I got this many hits.’ What do those hits represent? Were they people, malicious bots, good bots?” said Dave Weinstein, director of engineering for Adobe Experience Cloud.
While hardly the first study of online fraud, Adobe’s findings are one more indication of how the problem has roiled the fast-changing ad, media and digital commerce industries, while prompting marketers to rethink their web efforts.
Non-human traffic can create an “inflated number that sets false expectations for marketing efforts,” said Mr. Weinstein.
Marketers often use web traffic as a good measure for how many of their consumers saw their ads, and some even pay their ad vendors when people see their ads and subsequently visit their website. Knowing more about how much of their web traffic was non-human could change the way they pay their ad vendors.
Advertisers have told Adobe that the ability to break down human and non-human traffic helps them understand which audiences matter “when they’re doing ad buying and trying to do re-marketing efforts, or things like lookalike modeling,” he said. Advertisers use lookalike modeling to reach online users or consumers who share similar characteristics to their specific audiences or customers.
Ad buyers can also exclude visitors with non-human characteristics from future targeting segments by removing the cookies or unique web IDs that represented those visitors from their audience segments.
In addition to malicious bots, many web visits also come from website “scrapers,” such as search engines, voice assistants or travel aggregators looking for business descriptions or pricing information. Some are also from rivals “scraping” for information so they can undercut the competition on pricing.
While bots from big search engines and aggregators tend to overtly present themselves as bots, and can easily be discounted from human web traffic, a small percentage of scrapers generate visits even if they’re not intentionally posing as visitors, said Mr. Weinstein.
“We realized that with the growth of things like Alexa and Google Home and other assistants, increasingly more and more traffic is going to be automated in nature,” he said. “In the long term, real humans at real browsers will be a diminishing portion of traffic.”
While there aren’t any plans to monetize a tool that can analyze non-human web traffic for clients, Adobe eventually could use it to sell something like a “bot score,” said Mr. Weinstein. For now, the company will likely just build the function into its existing analytics products.
10/17/2018
BY CALE GUTHRIE WEISSMAN
Why media people are furious over Facebook’s bad video metrics
Now advertisers are suing over the company allegedly cooking the books and not disclosing this miscalculation. And media people are fuming about this development. Rightfully so: The media industry over the last two-plus years has been punctuated by an awful euphemism known as the “pivot to video.” With traditional digital advertising revenue flatlining, Facebook managed to convince online publishers that video would be the next media goldmine. The company jumped headfirst into the medium–changing its algorithm to favor moving images, while convincing both advertisers and publishers alike that a long-term, video-first strategy would be the answer to their revenue woes.
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How is SpawnX, El Toro’s revolutionary ad delivery system, different than every other ad Demand Side Platform (DSP) available on the open exchanges?
The answer is simple: Everything. What Comes After Demand Side Platforms (DSP’s) WHAT IS SpawnX SpawnX was designed, built, and patented with the sole intention of connecting advertisers directly to real people. The SpawnX platform targets real households and/or businesses via their IP address or Device ID’s without the use of cookies and without the untraceable fraud and robotic nature of cookie-based exchanges. SpawnX is 100% independent of any 3rd party cookie data, server farms, and is unreachable by click farms. How? SpawnX advanced technology is built around custom ad bidders, IP detection, and bidder-level verification systems. El Toro most recently received a patent for the algorithm responsible for matching IP’s and Device ID’s by leveraging first party data with custom built processes. |
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Over the past 8 years, El Toro has built a completely internalized ecosystem that logs, maps, and verifies IP data. When using El Toro, advertisers can target the exact households and buildings to reach exact audiencesby accomplishing what was never before possible at the DSP level. HOW SpawnXWORKS Currently, Ad Exchanges and Demand Side Platforms operate in a cookie-based programmatic environment that bids on ad placements based upon cookie profiles, geolocation cookies, and an array of other unknown types of bot and fraud enablers. These exchanges can not differentiate if the traffic source is human or non-human, therefore advertisers are bidding to show ads to mostly non-human sources that will not and can not buy anything from them, ever.
SpawnX, by El Toro, is monitoring the open market for those exact household IP’s and/or Device ID’s, solely to win that ad placement because it’s the exact target provided by the advertiser. Data can be integrated with El Toro’s system, or can be onboardedby the advertiser.
HOW SpawnXWORKS (cont.) Targeting segments for all campaigns are assembled pre-campaign with SpawnX. Advertisers onboard their 1st party offline data, CRM data, postal records, IP’s, and Device data. With SpawnX, advertisers are able to build their target list based off empirical information such as: income, marital status, credit score, and 100’s of other filters that are traditionally only available in the direct mail world. El Toro has bridged the gap between offline data with online display and video advertising.
SpawnX’s bidder provides access to 9 out of 10 websites that has servable inventory. SpawnX sits directly on top of the feeds, which means SpawnX have eliminated all third parties when serving ads online. SpawnX’s bidder is faster, more efficient, and can ID fraud and act on it in real time by using advanced header detection and ad blocker ID. SpawnX can also detect if an IP or device is infected with malware. In cases such as this, the SpawnX platform will null out the bid and let the next highest bidder (your competition) purchase that inventory. Simply put, SpawnX is better than a DSP, but don’t call us one.
SpawnX, by El Toro, is monitoring the open market for those exact household IP’s and/or Device ID’s, solely to win that ad placement because it’s the exact target provided by the advertiser. Data can be integrated with El Toro’s system, or can be onboardedby the advertiser.
HOW SpawnXWORKS (cont.) Targeting segments for all campaigns are assembled pre-campaign with SpawnX. Advertisers onboard their 1st party offline data, CRM data, postal records, IP’s, and Device data. With SpawnX, advertisers are able to build their target list based off empirical information such as: income, marital status, credit score, and 100’s of other filters that are traditionally only available in the direct mail world. El Toro has bridged the gap between offline data with online display and video advertising.
SpawnX’s bidder provides access to 9 out of 10 websites that has servable inventory. SpawnX sits directly on top of the feeds, which means SpawnX have eliminated all third parties when serving ads online. SpawnX’s bidder is faster, more efficient, and can ID fraud and act on it in real time by using advanced header detection and ad blocker ID. SpawnX can also detect if an IP or device is infected with malware. In cases such as this, the SpawnX platform will null out the bid and let the next highest bidder (your competition) purchase that inventory. Simply put, SpawnX is better than a DSP, but don’t call us one.
