MARKETING
How to Prevent Click Fraud
When it comes to business, the old adage “You’ve got to spend money to make money,” couldn’t be more true. Aside from the financial outlay to develop your product and manufacture it, and all the overhead that comes with owning a business, you are responsible for marketing your product so the public knows that your product exists.
You’ve set aside some marketing dollars to spread awareness and attract people to your brand and your website. You’ve looked into a variety of advertising options, and determined that pay-per-click (PPC) advertising is a sound way to spend your marketing budget. After all, you only pay when users click on your ad, so you only pay to advertise to people who are at least mildly interested in what you offer.
PPC advertising can provide a healthy return on investment – unless you become the victim of click fraud. By understanding what click fraud is, and being aware of the tools that are available to protect yourself and your investment, PPC can be an excellent choice to market your business.
What is click fraud?
Click fraud happens when a person or a bot clicks on an ad, button, or hyperlink to trick the platform into thinking there is more interaction than there actually is.
With PPC advertising, click fraud can happen for one of two reasons:
- The website owner who is hosting the ad will click on the link repeatedly to increase the amount of money the business must pay them.
- A company’s competitor may employ click fraud to divert from the business’s marketing budget.
Interestingly enough, sometimes it’s the business itself that will engage in click fraud. Search engines like Google rely on the click-through rate – how many people have visited a site because of a certain link – to determine search rankings. Sometimes, a business owner will attempt to scam the system, inflating the number of clicks through click fraud and moving up the search engine ranks so that more actual users will find and visit their page.
Any type of click fraud can be damaging to a business which is why you’ll want to protect yourself against this illegal practice.
What is a click bot?
You’ve likely heard of click fraud bots, but do you know how they operate? It’s estimated that bots comprise roughly 52% of all internet traffic. Harmful bots (like fraud bots) make up a large part of this number.
So what are click bots and what are they doing to our websites? Click bots are designed to carry out click fraud. They vary from relatively simple (access webpage and click on the desired link) to advanced (mimic the actions a human would take such as moving the mouse and clicking at uneven intervals). The more advanced a bot is, the more difficult it is to distinguish it from a legitimate user.
Rather than attempt to create hundreds of thousands of clicks from one device with a single IP address (this bot traffic would be immediately suspicious), bots are installed across many devices, often through malware. This means that the device owner is completely unaware that their electronic property is being used for nefarious purposes.
Bots aren’t always to blame for click fraud. Some scammers will employ people to manually perform click fraud. While it’s more difficult to recognize human fraud, it’s considerably less efficient than utilizing fraud bots.
Click Fraud Prevention
Instances of click fraud are not uncommon. A recent study from the University of Baltimore found that in 2020 click fraud cost marketers over $35 billion.
Search engines like Google have put practices in place to protect businesses from click fraud. These include:
- Automated detection systems built with machine learning and complex algorithms to keep ad platforms clean.
- Manual reviews when invalid activity is suspected or brought to their attention.
- Advanced research to uncover sources of invalid traffic and prevent them from entering their networks.
Knowing that Google is looking out for your business is great news, though it’s still important to be proactive to protect your business. The first step is creating ads that are more difficult for scammers to target. You can consider allocating more budget to social media ads that are less keyword-focused and therefore harder to search for.
You also have the option to be more targeted with your desired audience which will lessen your chances of encountering click fraud. Being more specific about the geographic locations your ads target and avoid can also provide an added layer of protection from click fraud.
Next, you can help prevent click fraud by keeping a close eye on your ads and your ad spend. The moment you suspect fraud, it’s time to jump into action. If you’ve detected fraudulent clicks coming from specific IP addresses, Google Ads will allow you to block these IP addresses.
Click Fraud Detection
While preventing click fraud is an admirable goal, it’s not always possible. Scammers have created highly advanced and indiscernible methods for perpetrating click fraud which is sometimes impossible for the average business to protect against.
Thankfully, there are a number of click fraud detection protection services available. Here are a few recommendations.
1. ClickCease
ClickCease blocks bot traffic from Google and Facebook ads before these clicks can impact your ad spend budget. Users can also create custom detection rules to provide the level of support their business needs.
Price: Standard Plan starts at $59 per month; Pro Plan starts at $79 per month
2. PPC Shield
PPC Shield offers holistic support to protect your Google Ads campaigns from fraudulent clicks. Notable features include instant blocking of suspicious IP addresses, detailed reporting, and a budgeting tool to help you allocate ad spend saved from click fraud prevention.
3. AppsFlyer
Looking for protection for your ads against mobile fraud? If so, the AppsFlyer fraud protection tool is worth looking into. This tool provides multi-layered protection against click fraud and has an extensive partner network to keep companies safe from emerging threats.
Price: Free with paid plans starting at 6 cents per conversion
4. Singular
Singular provides a comprehensive fraud prevention tool with a suite of features including iOS and Android click prevention, hyper-engagement detection, and geographic outliers to keep your ad placements safe.
Price: Free, with custom paid options available
5. ClickGUARD
ClickGUARD’s platform is a powerful click fraud prevention system. Offering a Google Ads shield to protect conversions and prevent invalid clicks and advanced bot detection, this tool identifies and prevents threats from targeting your ads.
Unfortunately, click fraud is a very real threat to your PPC advertising campaigns. While it has the potential to drain your budget and leave you short of your marketing goals, with the right protections in place, it’s still a viable option for your business. Investing in education and services to prevent click fraud is a worthwhile expense.
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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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