MARKETING
Click & Bot Fraud: The Spookiest Specters of PPC
I was working in the office late one night when my eyes beheld an eerie sight. For a monster from my account began to rise and suddenly, to my surprise…
He did not do any kind of monster-themed dance, because he was a bot spending my ad budget on fraudulent clicks. If click fraud has happened to you, you know it can be pretty scary. But have no fear, I’m here to let you know how to identify click fraud in your account and what you can do to combat it.
What is Click Fraud?
Click fraud, also known as ad fraud, is the fraudulent clicking or viewing of pay-per-click ads. This invalid activity can drive up the perceived number of clicks on an ad and along with, the cost. According to the Association of National Advertisers, the impact of ad fraud is estimated to be $5.8 billion this year. Ad fraud can happen anywhere and isn’t just limited to search. Display, video, and even social ads can be subject to fraudulent clicks. Just this August, Facebook sued two developers for creating apps infected with malware that falsified clicks. The bottom line is that click fraud messes with your data and your money, and as a PPC nerd (and a cheapskate), nobody messes with my data or my money. Let’s explore who these click fraud creeps are and how they highjack your ads.
The Creeps of Click Fraud
1.Web Publishers
Web publishers make 68% of the amount paid to Google for that ad, so the more clicks, the more money. Many publishers rely solely on the revenue they make from advertising and so may be tempted to click on an ad on their website to increase revenue. However, publishers who do this risk losing their partnership status with Google. Google also monitors 3rd party affiliates’ web traffic to make sure their ad clicks and impressions are valid.
2. Click Farms
Click farm sounds idyllic, doesn’t it? Like maybe it’s the place your ad goes to rest when it’s past its prime. Unfortunately, the reality of click farms is much sadder. Click farms are sort of like the sweatshops of pay-per-click. Companies can buy likes or followers for their social media pages to boost their presence in hopes of encouraging real consumers to buy. Sometimes companies even buy clicks for their competitor’s ads to exhaust their ad budget. Unfortunately, the companies and orchestrators of click farms profit while those working in them are paid very little and usually operate in pretty poor working conditions.
3. Bots
Bots are the most common perpetrator of ad and click fraud. Bots are sophisticated malware that act like human traffic on a site and can simulate clicks, impressions, and site visits. The creators of the bots then create fraudulent websites to host ads where the bots will simulate traffic. Methbot, one of the largest bot fraud operations to date, was discovered in 2016 by White Ops cybersecurity. Using over 500,000 IPs and 6,000 domains to cover its tracks, Methbot was making its creators as much as $5 million a day.
How Do You Know If You’re Experiencing Click Fraud?
Okay, now that I’ve scared you a little bit, let me tell you how to determine if you’re the target of click fraud and what to do about it. Here are some key indicators that something suspicious is going on:
1. Click-Through Rates Have Gone Through the Roof
If you’re seeing your click-through rate spike out of nowhere, you might want to take a peek in Google Analytics and see where that traffic is coming from. It’s possible that you just launched a great ad, and if that’s the case, congrats! However, if your traffic is coming from countries that you don’t serve or you have an unusually high bounce rate, you may be the target of click fraud. Not sure what a reasonable click-through rate is? Check our Associate Director of Search Matt Umbro’s article.
2. Weird Referral Traffic
While you’re in Google Analytics, take a look at your referral traffic. If it seems like there are some odd or irrelevant traffic referring users to your site, it could be a bot. Bryan Gaynor, Senior Digital Marketing Account Manager at Hanapin Marketing, has a great article on what to do when you see this kind of traffic.
3. Take a Look at Incoming IP Addresses
If you’re particularly worried about click fraud or you’re experiencing the symptoms listed above, take a look at the IP addresses of the users visiting your site. PPC Protect explains exactly how to do that. If you keep seeing the same IP addresses over and over again, especially within a short time frame, this could mean click fraud.
4. If You’re In the Finance, Family, or Food Industry
No, fraudsters aren’t just targeting industries that start with ‘F’. What these industries have in common is a high average cost per click and lot’s of traffic, which means click criminals can make a lot of money and go relatively unnoticed. It’s estimated that between 16-22% of the traffic to these industries’ sites are bots. Luckily for most other industries, bot traffic makes up less than 10% of their traffic.
Combatting Click Fraud
Click fraud is scary, that’s why we waited until October to write this article. Even though it’s frightening to think about what creeps could be stealing your advertising dollars, it’s not a reason to stop PPC completely. With 3 billion people spending an average of 23 hours a week surfing the internet, you miss risking out on lots of revenue and new customers if you’re not showing up online. Just like you wouldn’t close down your brick and mortar store for fear of shoplifting, you wouldn’t stop doing digital advertising.
Luckily, there are many ways that click and bot fraud is being combatted. Platforms like Google and Facebook are increasing their vigilance and have become more litigious in recent years when it comes to combating click farms. Google has also launched it’s Ad Traffic Quality Center to help inform digital advertisers and provide options for requesting invalid traffic investigations. One of the best ways to be vigilant in detecting click fraud or unusual traffic is to segment your ad campaigns and be intentional in your targeting. If you know what kind of traffic is normal and what your users should look like, you’ll be able to detect click and bot fraud much faster.
If you’re still worried or belong to one of the industries at risk listed above, you might consider looking into vendors like ClickCease and PPCProtect to help keep an eye on your traffic. Armed with this knowledge about click fraud, you’re safer already.
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
Introduction
With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.
Types of YouTube Ads
Video Ads
- Description: These play before, during, or after a YouTube video on computers or mobile devices.
- Types:
- In-stream ads: Can be skippable or non-skippable.
- Bumper ads: Non-skippable, short ads that play before, during, or after a video.
Display Ads
- Description: These appear in different spots on YouTube and usually use text or static images.
- Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).
Companion Banners
- Description: Appears to the right of the YouTube player on desktop.
- Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.
In-feed Ads
- Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.
Outstream Ads
- Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.
Masthead Ads
- Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.
YouTube Ad Specs by Type
Skippable In-stream Video Ads
- Placement: Before, during, or after a YouTube video.
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Vertical: 9:16
- Square: 1:1
- Length:
- Awareness: 15-20 seconds
- Consideration: 2-3 minutes
- Action: 15-20 seconds
Non-skippable In-stream Video Ads
- Description: Must be watched completely before the main video.
- Length: 15 seconds (or 20 seconds in certain markets).
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Vertical: 9:16
- Square: 1:1
Bumper Ads
- Length: Maximum 6 seconds.
- File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
- Resolution:
- Horizontal: 640 x 360px
- Vertical: 480 x 360px
In-feed Ads
- Description: Show alongside YouTube content, like search results or the Home feed.
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Square: 1:1
- Length:
- Awareness: 15-20 seconds
- Consideration: 2-3 minutes
- Headline/Description:
- Headline: Up to 2 lines, 40 characters per line
- Description: Up to 2 lines, 35 characters per line
Display Ads
- Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
- Image Size: 300×60 pixels.
- File Type: GIF, JPG, PNG.
- File Size: Max 150KB.
- Max Animation Length: 30 seconds.
Outstream Ads
- Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
- Logo Specs:
- Square: 1:1 (200 x 200px).
- File Type: JPG, GIF, PNG.
- Max Size: 200KB.
Masthead Ads
- Description: High-visibility ads at the top of the YouTube homepage.
- Resolution: 1920 x 1080 or higher.
- File Type: JPG or PNG (without transparency).
Conclusion
YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
A deeper dive into data, personalization and Copilots
Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.
To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.
Dig deeper: Salesforce piles on the Einstein Copilots
Salesforce’s evolving architecture
It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?
“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”
Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”
That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.
“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.
Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”
Let’s learn more about Einstein Copilot
“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.
For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”
Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”
It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”
What’s new about Einstein Personalization
Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?
“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”
Finally, trust
One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.
“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”
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