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Misconceptions & Making It Work

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Misconceptions & Making It Work

To use Google Search Partners, or not? That is the question.

Maybe not for Hamlet, but certainly for paid search professionals everywhere.

When you create a new search campaign, you’re automatically opted into the display network and search partners by default.

This allows your ads to appear on properties owned by Google (like YouTube and Google Maps), companies they have partnered with (e.g., Amazon and Walmart), and other websites that sell ad placements.

Google doesn’t publish a complete list of search partners, but websites that show these ads must opt-in and in return, they receive a share of the advertising profits.

By extending your advertising campaigns beyond search engine results pages (SERPs) and onto additional websites that Google owns or partners with, the Google Search Partners network can be a useful tool for gaining additional traffic and conversions.

It allows you to place ads more widely and stand out from the crowd.

But it’s not without its drawbacks, which is why the commonly accepted best practice for most advertisers is to disable it.

The biggest downside is the lack of transparency and control. There is limited data about where your ads are displayed and you can’t prevent ads from displaying in placements with poor performance or controversial content.

Google’s Search Partners network also includes parked domains that can drain your budget without your ads ever being seen by real users.

You also have limited control over ad auctions, as bid modifiers cannot be used.

So, how do you make the search partners network work for your campaigns?

Let’s look at some of the ways you can use the Google Search Partners network to gain visibility and control while making sure it’s performing as well as possible.

5 Common Misconceptions About Google Search Partners

Before we jump into management tips, we should first cover exactly what the Search Partner network is and some of the common misconceptions.

Misconception 1: All Sites Included Are Smaller Search Engines

Despite being called “search partners,” the sites included within Google’s search partners are not all search engines.

In fact, Google defines its Search Partners as:

“Sites in the Search Network that partner with Google to show ads.

Search partners extend the reach of Google Search ads to hundreds of non-Google websites, as well as YouTube and other Google sites.

On search partners sites, your ads can appear on search results pages, on site directory pages, or on other pages related to a person’s search.”

Misconception 2: The Search Partners Are Only For Traditional Search Campaigns

Actually, the search partner network is also a good way to expand reach for shopping campaigns, as well.

Misconception 3: Just Because The Search Partners Didn’t Work Before Means They Never Will

In reality, so much can change with Google Ads in such a short amount of time, that it makes it worth testing – and retesting – different features.

In October 2018, Google launched Smart Bidding for search partner sites, with the goal of maximizing conversions at a similar CPC to Google Search.

This alone could make it worth another test if your campaigns had excluded search partners prior to that adjustment.

Misconception 4: The Most Granular Insight You Can Get Into Search Partners Is By Segmenting By Search Partner Network At The Campaign Level

While it’s true that we can’t see the search partner sites, there are other details that we can dig into, to help us understand performance a little better.

Keep reading, we’ll revisit this.

Misconception 5: If The CPA Is Higher In Search Partners, There’s Nothing That Can Be Done

While it’s true that advertisers have much less control on search partners than Google’s own search network because it can’t be split out on its own, there are ways to tweak results.

We just have to get a little bit more creative about how we go about it.

Low-Hanging Fruit On The Search Partner Network

If you haven’t tested the search partners before, or you’re wary of it for any reason, you might want to first aim for the low-hanging fruit.

Find your targets with the highest intent and test the search partners there first.

Your Brand Campaign

Many advertisers max out their brand campaigns if they have the budget.

The search partner network can be a great way to drive some additional volume for those searches.

Your RLSA Campaigns

Because these people have already been to your site, they’re more qualified than any ol’ searcher.

In this situation, I like to think of audiences as training wheels; it’s a good way to test without much risk.

Getting To The Bottom Of The Performance Delta

If you’re finding conversion volume in search partners but not at a return that is cost-effective, the first step is to try to identify the root cause of the poor performance so we can determine the best course of action.

Running a few quick reports can easily shine some light on problem areas.

Review Keyword Performance

Often if the search network isn’t performing, it could be because some of the terms are too broad and aren’t performing as well as some of the long-tail terms.

You can segment your keyword list by search network the same way that you would segment campaign performance.

Now, you can easily see which keywords are doing well on search partners and which are spending money without return – or converting but at a higher than acceptable cost.

Review Match Types

Another common reason that search partners might not perform as well is because performance might be skewed across match types.

By downloading the segmented keyword report, you can easily pivot the data to see how each of the match types performs across the networks.

Often, but not always, search partners tend not to perform as well on broad match keywords.

Review Device Usage

You might find that search partners don’t perform as well on mobile devices.

Segmenting your device data by search partners lets you zero in this. You might find that one device performs much better than the other.

Steps You Can Take To Improve Performance on Google Search Partners

Unfortunately, with Google’s search partners, you can’t see specific placements.

Therefore you also can’t exclude specific placements, target specific placements, or add bid modifiers to placements – or even the network in general.

That limits your options a bit but here’s what you can do:

Segment Out Your Campaigns By Match Type

If you find that the search partners are performing well on one or two match types, segment your campaigns out and then opt only for the match types that proved to perform well historically into search partners.

I would add a caveat that there would have to be enough volume from the search partners to warrant saving.

Only you can decide what that threshold is for your account, but I wouldn’t suggest a large-scale restructure for a small amount of volume.

Segment Out Your Campaigns By Device

If you find that the search partners are performing well on one device and not the other, you might consider splitting up the campaign and keeping only certain devices opted into search partners.

Again, this is really only warranted if there is proven volume worth saving.

Segment Out Your Campaigns By Match Type

If certain keywords perform really poorly on search partners, consider segmenting them out – but only if it’s not at a risk to a high volume of Google search conversions.

Segmenting Out An RLSA Campaign

If you find that certain audiences (first-party or third-party) added as observation-only perform better than the searchers outside of said audiences, you might consider breaking out an RLSA campaign and opting search partners in while keeping them out of the non-RLSA campaign.

Duplicating A Campaign Just For Search Partners

I know what you’re thinking: “Wait, what? We can’t bid on just search partners.”

You’re right!

However, you can duplicate your campaign and set the bids much lower than your current campaign so that Google’s search network won’t pick them up.

The good thing about this is that it doesn’t disrupt the performance of the keywords on the Google search network. You have to be careful, though.

If you pause things in the Google search campaign, that traffic may start re-routing to your second campaign.

Other Things To Consider

In Feb 2021, Google Ads applied structural and badge criteria updates to its partner program.

Partners still have to maintain at least a 70% optimization score to keep their badges, but they can now apply or dismiss recommendations based upon their own assessment, without penalties.

Benefits were also re-aligned to better meet the needs of partners in three key areas: Education & Insights, Access & Support, and Recognition & Rewards.

This change provides opportunities for advertising agencies and third parties that manage Google Ads on behalf of other brands to be recognized as expert digital agencies.

Key Takeaways

So, after all that, should you be using the Google Search Partner network? You didn’t really expect a simple answer, did you?

Remember, restructuring is never without its risks.

Keywords in new campaigns always start fresh, without any account history. Only you can decide if the potential risk is worth the conversion volume you can salvage.

Just make sure you can undo things in case performance doesn’t carry through. That is, pause (DON’T DELETE) keywords in your original campaign, so you can always go back if it doesn’t work.

And be aware that when you switch on Google Search Partners, you can expect to see a reduction in click-through rates in your aggregated reports.

This isn’t because your search click-through rate has dropped; it’s because the extra impressions you’re gaining have a very low click-through rate.

Even though your conversion rate will be much lower, the lower cost-per-click means that the cost per conversion will be similar to the Google Search Network.

As such, it’s probably worth giving Search Partners a test run on your account.

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Twitter Will Share Ad Revenue With Twitter Blue Verified Creators

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Twitter Will Share Ad Revenue With Twitter Blue Verified Creators

Elon Musk, owner and CEO of Twitter, announced that starting today, Twitter will share ad revenue with creators. The new policy applies only to ads that appear in a creator’s reply threads.

The move comes on the heels of YouTube launching ad revenue sharing for creators through the YouTube Partner Program in a bid to become the most rewarding social platform for creators.

Social networks like Instagram, TikTok, and Snapchat have similar monetization options for creators who publish reels and video content. For example, Instagram’s Reels Play Bonus Program offers eligible creators up to $1,200 for Reel views.

The catch? Unlike other social platforms, creators on Twitter must have an active subscription to Twitter Blue and meet the eligibility requirements for the Blue Verified checkmark.

The following is an example of a Twitter ad in a reply thread (Promoted by @ASUBootcamps). It should generate revenue for the Twitter Blue Verified creator (@rowancheung), who created the thread.

Screenshot from Twitter, January 2023

To receive the ad revenue share, creators would have to pay $8 per month (or more) to maintain an active Twitter Blue subscription. Twitter Blue pricing varies based on location and is available in the United States, Canada, Australia, New Zealand, Japan, the United Kingdom, Saudi Arabia, France, Germany, Italy, Portugal, and Spain.

Eligibility for the Twitter Blue Verified checkmark includes having an active Twitter Blue subscription and meeting the following criteria.

  • Your account must have a display name, profile photo, and confirmed phone number.
  • Your account has to be older than 90 days and active within the last 30 days.
  • Recent changes to your account’s username, display name, or profile photo can affect eligibility. Modifications to those after verification can also result in a temporary loss of the blue checkmark until Twitter reviews your updated information.
  • Your account cannot appear to mislead or deceive.
  • Your account cannot spam or otherwise try to manipulate the platform for engagement or follows.

Did you receive a Blue Verified checkmark before the Twitter Blue subscription? That will not help creators who want a share of the ad revenue. The legacy Blue Verified checkmark does not make a creator account eligible for ad revenue sharing.

When asked about accounts with a legacy and Twitter Blue Verified checkmark, Musk tweeted that the legacy Blue Verified is “deeply corrupted” and will sunset in just a few months.

Regardless of how you gained your checkmark, it’s important to note that Twitter can remove a checkmark without notice.

In addition to ad revenue sharing for Twitter Blue Verified creators, Twitter Dev announced that the Twitter API would no longer be free in an ongoing effort to reduce the number of bots on the platform.

While speculation looms about a loss in Twitter ad revenue, the Wall Street Journal reported a “fire-sale” Super Bowl offer from Musk to win back advertisers.

The latest data from DataReportal shows a positive trend for Twitter advertisers. Ad reach has increased from 436.4 million users in January 2022 to 556 million in January 2023.

Twitter is also the third most popular social network based on monthly unique visitors and page views globally, according to SimilarWeb data through December 2022.


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AI Content Detection Software: Can They Detect ChatGPT?

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AI Content Detection Software: Can They Detect ChatGPT?

We live in an age when AI technologies are booming, and the world has been taken by storm with the introduction of ChatGPT.

ChatGPT is capable of accomplishing a wide range of tasks, but one that it does particularly well is writing articles. And while there are many obvious benefits to this, it also presents a number of challenges.

In my opinion, the biggest hurdle that AI-generated written content poses for the publishing industry is the spread of misinformation.

ChatGPT, or any other AI tool, may generate articles that may contain factual errors or are just flat-out incorrect.

Imagine someone who has no expertise in medicine starting a medical blog and using ChatGPT to write content for their articles.

Their content may contain errors that can only be identified by professional doctors. And if that blog content starts spreading over social media, or maybe even ranks in Search, it could cause harm to people who read it and take erroneous medical advice.

Another potential challenge ChatGPT poses is how students might leverage it within their written work.

If one can write an essay just by running a prompt (and without having to do any actual work), that greatly diminishes the quality of education – as learning about a subject and expressing your own ideas is key to essay writing.

Even before the introduction of ChatGPT, many publishers were already generating content using AI. And while some honestly disclose it, others may not.

Also, Google recently changed its wording regarding AI-generated content, so that it is not necessarily against the company’s guidelines.

Image from Twitter, November 2022

This is why I decided to try out existing tools to understand where the tech industry is when it comes to detecting content generated by ChatGPT, or AI generally.

I ran the following prompts in ChatGPT to generate written content and then ran those answers through different detection tools.

  • “What is local SEO? Why it is important? Best practices of Local SEO.”
  • “Write an essay about Napoleon Bonaparte invasion of Egypt.”
  • “What are the main differences between iPhone and Samsung galaxy?”

Here is how each tool performed.

1. Writer.com

For the first prompt’s answer, Writer.com fails, identifying ChatGPT’s content as 94% human-generated.

Writer.com resultsScreenshot from writer.com, January 2023

For the second prompt, it worked and detected it as AI-written content.

Writer.com test resultScreenshot from writer.com, January 2023

For the third prompt, it failed again.

Sample ResultScreenshot from writer.com, January 2023

However, when I tested real human-written text, Writer.com did identify it as 100% human-generated very accurately.

2. Copyleaks

Copyleaks did a great job in detecting all three prompts as AI-written.

Sample ResultScreenshot from Copyleaks, January 2023

3. Contentatscale.ai

Contentatscale.ai did a great job in detecting all three prompts as AI-written, even though the first prompt, it gave a 21% human score.

Contentscale.aiScreenshot from Contentscale.ai, January 2023

4. Originality.ai

Originality.ai did a great job on all three prompts, accurately detecting them as AI-written.

Also, when I checked with real human-written text, it did identify it as 100% human-generated, which is essential.

Originality.aiScreenshot from Originality.ai, January 2023

You will notice that Originality.ai doesn’t detect any plagiarism issues. This may change in the future.

Over time, people will use the same prompts to generate AI-written content, likely resulting in a number of very similar answers. When these articles are published, they will then be detected by plagiarism tools.

5. GPTZero

This non-commercial tool was built by Edward Tian, and specifically designed to detect ChatGPT-generated articles. And it did just that for all three prompts, recognizing them as AI-generated.

GPTZeroScreenshot from GPTZero, January 2023

Unlike other tools, it gives a more detailed analysis of detected issues, such as sentence-by-sentence analyses.

sentence by sentence text perplexityScreenshot from GPTZero, January 2023

OpenAI’s AI Text Classifier

And finally, let’s see how OpenAi detects its own generated answers.

For the 1st and 3rd prompts, it detected that there is an AI involved by classifying it as “possibly-AI generated”.

AI Text Classifier. Likely AI-generatedAI Text Classifier. Likely AI-generated

But surprisingly, it failed for the 2nd prompt and classified that as “unlikely AI-generated.” I did play with different prompts and found that, as of the moment, when checking it, few of the above tools detect AI content with higher accuracy than OpenAi’s own tool.

AI Text Classifier. Unlikely AI-generatedAI Text Classifier. Unlikely AI-generated

As of the time of this check, they had released it a day before. I think in the future, they will fine tune it, and it will work much better.

Conclusion

Current AI content generation tools are in good shape and are able to detect ChatGPT-generated content (with varying degrees of success).

It is still possible for someone to generate copy via ChatGPT and then paraphrase that to make it undetectable, but that might require almost as much work as writing from scratch – so the benefits aren’t as immediate.

If you think about ranking an article in Google written by ChatGPT, consider for a moment: If the tools we looked at above were able to recognize them as AI-generated, then for Google, detecting them should be a piece of cake.

On top of that, Google has quality raters who will train their system to recognize AI-written articles even better by manually marking them as they find them.

So, my advice would be not to build your content strategy on ChatGPT-generated content, but use it merely as an assistant tool.

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Five things you need to know about content optimization in 2023

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5 Things You Need To Know About Optimizing Content in 2023

30-second summary:

  • As the content battleground goes through tremendous upheaval, SEO insights will continue to grow in importance
  • ChatGPT can help content marketers get an edge over their competition by efficiently creating and editing high-quality content
  • Making sure your content rank high enough to engage the target audience requires strategic planning and implementation

Google is constantly testing and updating its algorithms in pursuit of the best possible searcher experience. As the search giant explains in its ‘How Search Works’ documentation, that means understanding the intent behind the query and bringing back results that are relevant, high-quality, and accessible for consumers.

As if the constantly shifting search landscape weren’t difficult enough to navigate, content marketers are also contending with an increasingly technology-charged environment. Competitors are upping the stakes with tools and platforms that generate smarter, real-time insights and even make content optimization and personalization on the fly based on audience behavior, location, and data points.

Set-it-and-forget-it content optimization is a thing of the past. Here’s what you need to know to help your content get found, engage your target audience, and convert searchers to customers in 2023.

AI automation going to be integral for content optimization

Technologies-B2B-organizations-use-to-optimize-content

As the content battleground heats up, SEO insights will continue to grow in importance as a key source of intelligence. We’re optimizing content for humans, not search engines, after all – we had better have a solid understanding of what those people need and want.

While I do not advocate automation for full content creation, I believe next year – as resources become stretched automation will have a bigger impact on helping with content optimization of existing content.

CHATGPT

ChatGPT, developed by OpenAI, is a powerful language generation model that leverages the Generative Pre-trained Transformer (GPT) architecture to produce realistic human-like text. With Chat GPT’s wide range of capabilities – from completing sentences and answering questions to generating content ideas or powering research initiatives – it can be an invaluable asset for any Natural Language Processing project.

ChatGPT-for-content

The introduction on ChatGPT has caused considerable debate and explosive amounts of content on the web. With ChatGPT, content marketers can achieve an extra edge over their competition by efficiently creating and editing high-quality content. It offers assistance with generating titles for blog posts, summaries of topics or articles, as well as comprehensive campaigns when targeting a specific audience.

However, it is important to remember that this technology should be used to enhance human creativity rather than completely replacing it.

For many years now AI-powered technology has been helping content marketers and SEOs automate repetitive tasks such as data analysis, scanning for technical issues, and reporting, but that’s just the tip of the iceberg. AI also enables real-time analysis of a greater volume of consumer touchpoints and behavioral data points for smarter, more precise predictive analysis, opportunity forecasting, real-time content recommendations, and more.

With so much data in play and recession concerns already impacting 2023 budgets in many organizations, content marketers will have to do more with less this coming year. You’ll need to carefully balance human creative resources with AI assists where they make sense to stay flexible, agile, and ready to respond to the market.

It’s time to look at your body of content as a whole

Google’s Helpful Content update, which rolled out in August, is a sitewide signal targeting a high proportion of thin, unhelpful, low-quality content. That means the exceptional content on your site won’t rank to their greatest potential if they’re lost in a sea of mediocre, outdated assets.

It might be time for a content reboot – but don’t get carried away. Before you start unpublishing and redirecting blog posts, lean on technology for automated site auditing and see what you can fix up first. AI-assisted technology can help sniff out on-page elements, including page titles and H1 tags, and off-page factors like page speed, redirects, and 404 errors that can support your content refreshing strategy.

Focus on your highest trafficked and most visible pages first, i.e.: those linked from the homepage or main menu. Google’s John Mueller confirmed recently that if the important pages on your website are low quality, it’s bad news for the entire site. There’s no percentage by which this is measured, he said, urging content marketers and SEOs to instead think of what the average user would think when they visit your website.

Take advantage of location-based content optimization opportunities

Consumers crave personalized experiences, and location is your low-hanging fruit. Seasonal weather trends, local events, and holidays all impact your search traffic in various ways and present opportunities for location-based optimization.

AI-assisted technology can help you discover these opportunities and evaluate topical keywords at scale so you can plan content campaigns and promotions that tap into this increased demand when it’s happening.

Make the best possible use of content created for locally relevant campaigns by repurposing and promoting it across your website, local landing pages, social media profiles, and Google Business Profiles for each location. Google Posts, for example, are a fantastic and underutilized tool for enhancing your content’s visibility and interactivity right on the search results page.

Optimize content with conversational & high-volume keywords

Look for conversational and trending terms in your keyword research, too. Top-of-funnel keywords that help generate awareness of the topic and spur conversations in social channels offer great opportunities for promotion. Use hashtags organically and target them in paid content promotion campaigns to dramatically expand your audience.

Conversational keywords are a good opportunity for enhancing that content’s visibility in search, too. Check out the ‘People Also Ask’ results and other featured snippets available on the search results page (SERP) for your keyword terms. Incorporate questions and answers in your content to naturally optimize for these and voice search queries.

SEO-and-creating-content-in-2023

It’s important that you utilize SEO insights and real-time data correctly; you don’t want to be targeting what was trending last month and is already over. AI is a great assist here, as well, as an intelligent tool can be scanning and analyzing constantly, sending recommendations for new content opportunities as they arise.

Consider how you optimize content based on intent and experience

The best content comes from a deep, meaningful understanding of the searcher’s intent. What problem were they experiencing or what need did they have that caused them to seek out your content in the first place? And how does your blog post, ebook, or landing page copy enhance their experience?

Look at the search results page as a doorway to your “home”. How’s your curb appeal? What do potential customers see when they encounter one of your pages in search results? What kind of experience do you offer when they step over the threshold and click through to your website?

The best content meets visitors where they are at with relevant, high-quality information presented in a way that is accessible, fast loading, and easy to digest. This is the case for both short and long form SEO content. Ensure your content contains calls to action designed to give people options and help them discover the next step in their journey versus attempting to sell them on something they may not be ready for yet.

2023, the year of SEO: why brands are leaning in and how to prepare

Conclusion

The audience is king, queen, and the entire court as we head into 2023. SEO and content marketing give you countless opportunities to connect with these people but remember they are a means to an end. Keep searcher intent and audience needs at the heart of every piece of content you create and campaign you plan for the coming year.

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