La catégorie “Best Of SEO” présente et recommande des lectures sur le référencement technique en flux RSS.
Il s’agit d’expertises considérées comme les meilleures, en provenance de blogs ou de sites internet de consultants américains de renom.
Pour parfaire vos connaissances en matière de référencement, il n’y a pas mieux.

Google Analytics 4

Google streamlined the process for importing cost data into Analytics, reducing mandatory fields and offering more flexible reporting options.

The big picture. Marketers can now import cost data with just three core requirements: source, medium, and date, eliminating previous constraints around campaign names and IDs.

Key updates. Including the following fields allows for more detailed reporting. Without them, Google Analytics will report cost data in aggregate when dimensions like campaign name or ID are queried.

  • Simplified required fields. You now only need three fields to import cost data:
    • Source: Where the traffic originated.
    • Medium: The type of traffic (e.g., CPC, organic).
    • Date: The date for data mapping.
  • Optional campaign fields:
    • Campaign name and campaign ID are no longer required but can be included as optional key fields.

Why we care. This change simplifies the cost data import process, reducing the barrier for you to track and optimize ad spend within Google Analytics. However, excluding campaign-level details could limit reporting insights.

Bottom line. For more accurate and granular cost reporting, import campaign name and campaign ID when possible. But for those just looking to get basic cost tracking set up quickly, the new requirements streamline the process.

Google Ads logo on smartphone

Google revised its policy for dating and companionship advertisers, pushing back enforcement and clarifying certification rules for aggregators.

Extension. The deadline for certification has been extended from March 4 to April 9. After this date, uncertified advertisers will no longer be permitted to run ads.

Aggregator update. Aggregatoars promoting dating or companionship services will be eligible to serve restricted ads with proper certification, starting April 9.

  • These ads will appear on Search with age and country restrictions.
  • Certification for aggregators opens Feb. 25, while other advertisers can continue applying for certification.

Why we care. The certification process aims to ensure transparency and safety in dating-related advertising on Google. The timeline extension and aggregator guidelines provide you with additional clarity and time for compliance.

What’s next: Advertisers should prepare for the April 9 enforcement deadline and secure the required certification to avoid disruptions in campaign eligibility.

Google vs Bing vs ChatGPT

Education, technology, and software development websites have gotten a referral traffic boost from ChatGPT search – and ChatGPT sent more traffic to more than 30,000 unique domains by November.

That’s according to new Semrush (disclosure: Search Engine Land is owned by Semrush) analysis of 80 million lines of global clickstream data from the second half of 2024.

Search behavior changes. ChatGPT answered about 54% of queries with search turned off, with the remaining 46% of queries using search.

  • The average ChatGPT prompt length was 23 words, with a high of 2,712 words.
  • The average ChatGPT search length was much lower – just 4.2 words, with a high of 301 words.

Search intent shift. In search, keywords have an intent – navigational, informational, commercial and transactional (though there are additional types of search intent). However, only 30% of ChatGPT prompts fell into any of these categories, the analysis found. That means 70% of the prompts are unique and rarely or never seen in classic search engines (e.g., Google, Microsoft Bing).

ChatGPT vs. Google and Microsoft Bing. The types of sites getting more referral traffic from ChatGPT than Google include:

  • OpenAI-related domains, tech, and AI-focused platforms.

The types of sites getting more referral traffic from ChatGPT than Microsoft Bing include:

  • Academic publishers and research, and education and technical resources.

ChatGPT vs. Google users. Google had 6.5 billion unique worldwide visitors compared to ChatGPT’s 566 million in December. Semrush also compared audience demographics and found:

  • ChatGPT users are younger and more male.
  • ChatGPT wins with students; Google wins with full-time workers, homemakers and retirees.

What Semrush is saying. According to the report’s author, Brenna Kelly:

  • “For marketers and content creators, this data reveals an emerging reality: success in this new landscape requires a shift from traditional SEO metrics toward content that actively supports learning, problem-solving, and creative tasks. 

Why we care. SEO continues to evolve quickly. How people search and find answers is evolving. Making sure your brand’s content can be understood and cited by LLMs will only become more critical heading forward.

Dig deeper. What is generative engine optimization (GEO)?

The research. Investigating ChatGPT Search: Insights from 80 Million Clickstream Records

How AI makes paid search audits faster and better

Paid search audits are essential. But let’s face it: they can be a beast to do. 

It’s not just about understanding complex strategies; it’s about meticulously reviewing every setting, campaign, keyword, and ad, then translating all those details into actionable insights for stakeholders who may not be PPC experts.

Before AI, I spent countless hours refining audit checklists and presentations, constantly second-guessing myself. 

  • Did I miss a crucial setting?
  • Did I fully grasp the account’s nuances and how they align with business goals? 

I even resorted to downloading templates from other experts for reassurance.

Now, AI chatbots like ChatGPT and Gemini have transformed my entire auditing process, bringing a new level of thoroughness, clarity, and actionability. 

They help me avoid missing critical details and analyze data faster than I ever could, freeing up my time for strategic thinking.

Read on to learn how AI can help you conduct comprehensive, insightful, and actionable paid search audits that drive better performance.

Streamline your initial account review

Feeling overwhelmed when reviewing a new account? I used to, as well. 

Now, I simply open the account and dictate my observations directly into a Google Doc using my phone’s text-to-speech feature. 

I cover everything – from account structure and campaign settings to keyword choices and ad copy.

Next, I feed this raw data into my AI chatbot, asking it to organize my thoughts and structure the observations. 

I can even paste the campaign structure for the chatbot to analyze, identifying issues like overly broad keywords or illogical setups. 

Suddenly, I have a clear, concise account overview, ready for deeper analysis.

Explain complex topics with AI

Explaining bid strategies or match types to someone unfamiliar with PPC can be challenging and frustrating. 

I’ve always struggled with this, especially after analyzing data all day. 

AI chatbots excel at simplifying complex concepts and translating technical jargon for stakeholders.

For example, if you’ve identified a suboptimal bidding strategy, instead of a technical explanation about value-based bidding, you can ask the AI to tailor the message for different audiences:

  • For an executive: “The current bidding strategy is likely costing us money by not focusing on the most valuable conversions.”
  • For a marketing team member: “We can improve our bidding to reach more of the right customers and reduce wasted ad spend.”
  • For a paid search manager: “I recommend transitioning to value-based bidding, as it helps inform the ads platform that we prioritize form submissions over phone calls.”

Similarly, rather than saying, “The search terms report shows a high volume of irrelevant queries,” the AI can rephrase it as “We’re wasting money on clicks from people who aren’t interested in our products.”

This approach ensures your insights are clear and actionable for all stakeholders. 

AI helps turn what’s in your head into polished presentations with actionable steps businesses can easily implement.

Flag high-cost, low-converting campaigns, ad groups, or keywords

AI chatbots aren’t just passive note-takers. They can be proactive analysts. 

Once you’ve provided the AI with account data, you can ask it targeted questions like:

  • “What are the biggest opportunities for improvement in this account?”
  • “Are there any red flags I should be concerned about?”
  • “Which keywords have high cost but low conversions?”

The AI can analyze the data and provide insights you might have missed. 

For example, in a recent audit of a luxury car accessories campaign, I analyzed a search terms report and asked AI to flag potential inefficiencies. One standout issue was high-cost, low-conversion keywords.

The term “premium leather seat covers” had 128 clicks, a CTR of 4.6%, and only two conversions, resulting in a cost per conversion of $180 – much higher than the account’s target. 

Meanwhile, “heated seat covers for winter” showed a strong CTR of 25.8% and a conversion rate of 1.25%, but its cost per conversion was still high at $161. 

This data indicates a need for lower bids, better use of negative keywords, or landing page optimization. 

A high CTR combined with a low conversion rate suggests that while users are clicking, they are not converting – highlighting clear opportunities for improvement.

Once I used AI to identify the opportunities, I can use AI to communicate this concept to an executive:

  • “We’re seeing some instances where we’re paying a lot for clicks, but those clicks aren’t turning into sales. This is often due to targeting the wrong keywords or sending people to landing pages that aren’t optimized for conversion. By addressing these issues, we can reduce wasted spend and improve our return on investment.”

This concise explanation focuses on the issue’s financial impact and potential for improvement, which is what executives typically care about most. 

It also avoids getting bogged down in technical details, like negative keywords, which is crucial when communicating with non-PPC experts when delivering audits. 

Believe me, when you start talking about negative keywords or match types with an executive, you’ve lost them! As subject matter experts, it’s so easy to get caught up in the details. 

Still, AI has been monumental in helping me bridge that communication gap and communicate what is important.

Dig deeper: 7 tips for conducting Google Ads audits

How to analyze your account with AI

Remember to apply the process of analyzing data with AI at every level of the account hierarchy. 

Start with campaign data, then drill down to the ad group level within each campaign, and finally, review the ads and keywords.

Analyzing campaign data with AI

  • Download the relevant campaign data from Google Ads.
  • Upload it to ChatGPT (or another AI tool).
  • Ask targeted questions like: “Which campaigns are underperforming?” or “Which campaigns have the highest cost per conversion?”

Analyzing ad group data with AI

  • Download the relevant ad group data from Google Ads.
  • Upload it to your AI tool.
  • Ask questions like: “Which ad groups have the lowest click-through rates?” or “Are there any ad groups with high impressions but low clicks?”

Analyzing keywords and ads with AI

  • Download the relevant data (e.g., search terms report, keyword data, ad data) from Google Ads.
  • Upload it to your AI tool.
  • Ask targeted questions like: “Which keywords have high cost but low conversions?” or “Suggest new negative keywords.” or “Which ads have the highest conversion rates?”

AI analyzes the data and provides insights within seconds, saving hours of manual review. This helps you quickly identify areas for improvement. 

As the human expert, you can then determine the best course of action, such as adding negative keywords, adjusting bids, or optimizing landing pages. 

You can also use AI to analyze your current audience targeting settings and suggest improvements, such as layering demographics, interests, and behaviors for more precise targeting.

By applying this process at each level, you gain a comprehensive understanding of the account’s performance and can develop targeted recommendations for improvement and incorporate into your audit.

Auditing ad copy with AI

AI can be a valuable tool for generating ad copy variations and incorporating feedback on ad copy into your audits. 

With the rise of responsive search ads (RSAs), which allow for up to 15 headlines and four descriptions, it’s easy to overlook the importance of solid ad copy. 

We’re often stuck in a situation where many headlines or combinations simply don’t get served, making it difficult to know which ones are truly effective.

By leveraging AI to analyze existing ad copy and campaign data, you can provide specific, data-driven suggestions for improvement directly within your audit reports. 

This enhances the value of your audits and streamlines the optimization process for your clients.

Here’s how to use AI to enhance your paid search audits:

  • Upload your campaign data to the AI platform, including ad copy, impressions, clicks, conversions, and other relevant metrics.
  • Ask the AI to analyze the data and identify the top-performing ads in terms of key performance indicators (KPIs) like conversions or click-through rates (CTR). For example, you could ask: “Analyze this ad copy data and tell me which ads are driving the most conversions. Then, generate 3 new ad copy variations based on the top performer.”
  • Filter the suggestions to align with your brand voice, character limits, and other campaign requirements.
  • Incorporate the AI-generated suggestions into your audit report, providing specific, data-backed recommendations for improvement.
  • Advise clients to A/B test the different variations to identify the most effective ad copy.

Using AI to analyze your RSAs can help you uncover which headlines and descriptions are actually working and generate new variations based on those insights. 

This allows you to make data-driven recommendations for improving ad copy, even with the added complexity of RSAs.

Gain competitor insights with AI

Including competitor insights in paid search audits helps clients understand their market better and find ways to stay ahead.

While there are tools available that provide competitor analysis, manual review and analysis of publicly available data can uncover valuable insights that might otherwise be missed.

One powerful application of AI in this context is competitor website analysis. 

By providing the chatbot with your competitors’ websites or ad copy, you can ask it to:

  • Analyze their strategies.
  • Identify their strengths and weaknesses.
  • Suggest opportunities for differentiation. 

This allows you to gain valuable insights into the competitive messaging landscape and refine your own approach to copy.

Another application is to look at websites like Amazon or Reddit. 

For example, you could gather competitor reviews from platforms like Amazon and use AI to analyze the sentiment and identify recurring themes. 

You could also read what customers are saying about a brand on Reddit.

This can help you understand what customers like and dislike about your competitors’ products or services, which can inform your ad copy and messaging. 

You can even ask the AI to generate ad copy variations based on these insights, ensuring your ads stand out from the competition and resonate with potential customers.

Including this level of competitor intelligence in your audits shows a strong market understanding and gives clients actionable strategies to stay ahead.

Get the newsletter search marketers rely on.



Overarching vs. in-depth audits

It’s important to remember that paid search audits can vary in scope. Some audits require a high-level overview, while others demand a deep dive into every aspect of the account. 

AI can be adapted to both scenarios. For comprehensive audits, you can use AI to analyze vast amounts of data and pinpoint areas for improvement across all levels of the account. 

For more focused audits, you can use AI to examine specific aspects, such as ad copy testing, keyword research, or campaign structure.

Automate reporting with AI

Compiling the findings into a clear and concise report is one of the most time-consuming aspects of paid search audits. 

This is where AI can shine, helping you automate the reporting process and create professional presentations with minimal effort.

Here’s how you can leverage AI to streamline your audit reporting.

Create a comprehensive audit template

  • Develop a spreadsheet template that captures every single setting in the advertising platform you’re auditing (Google Ads, Bing Ads, Facebook Ads, etc.). 
  • Include checkboxes for items that meet best practices and text fields for observations or recommendations. 
  • This template serves as your standardized audit checklist.

Populate the template

  • As you conduct your audit, meticulously fill out the spreadsheet, checking boxes and adding notes where necessary.

Leverage AI for report generation

  • Once the template is complete, upload it to your AI chatbot. 
  • Provide clear instructions on the desired output. For example:
    • “Generate a PowerPoint outline for a paid search audit report based on this spreadsheet. Include a slide for each section with key findings and recommendations. Highlight any critical issues or opportunities.”

Refine and customize

  • The AI will generate a PowerPoint outline based on the data in your spreadsheet. 
  • Review the output, refine the language, add your own insights, and customize the formatting to create a polished and professional presentation.

This process allows you to leverage AI to automate the tedious aspects of report generation while maintaining control over the content and ensuring that your expertise shines through. 

Combining a standardized audit template with AI-powered reporting can save significant time and deliver high-quality audits that impress your clients.

Dig deeper: 3 steps for effective PPC reporting and analysis

A glimpse into the future of creative collaboration with AI

While AI may not be a complete replacement for human expertise just yet, its rapid evolution hints at an exciting future where it significantly enhances our skills and knowledge. 

We all have strengths and weaknesses, and AI has the potential to bridge those gaps effectively.

For example, I used to rely on a colleague with a knack for data visualization. I’d describe a concept, and they’d effortlessly create a compelling visual. 

Today’s AI tools are starting to offer similar capabilities, though they often require more guidance.

Recently, I needed a flowchart illustrating the Google Ads auction process. I provided a detailed prompt to Canva’s AI, outlining the steps and desired visual elements. 

The result was a decent starting point, but it wasn’t quite what I envisioned. (See my prompt and the AI’s output below.)

This experience highlighted the iterative nature of working with AI. It’s like a dance where both partners are learning and adapting. 

As we refine our ability to communicate effectively with AI, and as AI technology itself advances, the results will become increasingly impressive.

Imagine a future where we can dictate a flowchart, outline complex processes with ease, and AI generates a stunning visual that surpasses anything we could create with traditional tools like Mermaid. 

This level of creative collaboration could revolutionize how we visualize and communicate information.

My prompt:

“Create a flowchart illustrating the Google Ads auction process. The diagram should show the following steps:

  1. User Search: A user searches for a query on Google.
  2. Ad Auction: Google’s ad auction determines which ads to show based on factors like bid amount, ad quality, and ad relevance.
  3. Ad Serving: Google serves the ad that is predicted to maximize the advertiser’s goal (clicks, conversions, or conversion value).
  4. User Interaction: The user may or may not interact with the ad (e.g., click, convert).

Use simple shapes and arrows to represent the flow of the process. Label each step clearly. Consider using different colors to distinguish between user actions, Google’s decisions, and advertiser goals.”

AI’s result:

AI-generated - Google Ads auction process visualization

This visual isn’t accurate, but I believe as technology and prompting improve, we’ll reach a point where accurate diagrams and charts can be created quickly for presentations.

AI-powered paid search audits: Faster, smarter, and more actionable

AI technology is evolving rapidly, changing how marketers approach their work. 

Integrating a chatbot into your paid search audit process can help you deliver better results faster by automating tedious tasks. 

However, remember it is a tool to assist you, not a replacement for your expertise. 

Always review and refine the chatbot’s output, and use your judgment to ensure the quality and accuracy of your findings.

Embrace these advancements, and you’ll be well-equipped to navigate the complexities of paid search and achieve outstanding results.

Dig deeper: How to maximize PPC and SEO data with co-optimization audits

Avinash Kaushik shares secret sauce for measuring Super Bowl ads

Super Bowl 2025 will be held on Sunday, Feb. 9. The “Big Game” will have around 50 minutes of TV commercials trying to change the hearts, minds, and actions of over 100 million viewers.

However, many marketing executives ask, “Are Super Bowl ads effective?”

And with a 30-second spot during the Big Game costing $8 million, some are also asking, “Are Super Bowl commercials worth it?”

I asked Avinash Kaushik, who spent 16 years leading analytics at Google before becoming the chief strategy officer of Croud, to share the secret sauce for measuring Super Bowl ads. 

Below is an edited transcript of my questions and his answers.

Are Super Bowl ads really effective?

Greg Jarboe (GJ): “Back in 2017, The Harvard Business Review published ‘A Super Bowl Ad Is the Equivalent of Lighting Money on Fire (Which Can Be More Strategic Than It Sounds)’ by Tim Sullivan and Ray Fisman. What’s your take on this topic? Are Super Bowl ads effective?”

Avinash Kaushik (AK): “If your Super Bowl commercial can stand out among the 60 to 80 that air during the Big Game, then it can be effective. 

But it’s really hard for anybody to remember 10 ads after the Super Bowl, which means they aren’t effective for the rest of the ads.

At my former employer, we did studies around the half-life of a Super Bowl commercial. How long does it take for ads to lose half of the buzz that being in the USA Today Ad Meter, the YouTube AdBlitz winners, or somebody else’s top 10 list gives them?”

The short half-life of Super Bowl buzz

AK: “Marketers may have run Super Bowl commercials to generate water-cooler conversations. So, how long does it take to lose half and what you had gained when the Super Bowl ended? 

It takes less than six hours to lose half of what you have gained, and then you lose the rest of it in four days or so. 

And that was only for ads that managed somehow to stand out in those top 10 lists. So, it’s only the top ads that survive from 4 to a handful of days. 

I bet you and I can’t remember a single freaking commercial from last year, right? And you and I both watched it with interest. 

If the half-life of a TV commercial during the Super Bowl is that short, then what’s the point of a Super Bowl commercial?”

Spike and sustain: The key to effective big-ticket advertising

AK: “The best way to make a Super Bowl ad effective is through ‘spike and sustain’ marketing.

Here’s how it works:

  • First, you do a spike campaign to move your unaided brand awareness, purchase intent, or whatever KPI you’re solving for. You gotta move it up. So, if you were at 14 points before and after you’re at 16, then happy birthday. 
  • Next, you need to spend money sustaining your marketing. So, you stay at 16. 

But, if you don’t do sustained marketing within one week, that 16 will fall back to 14, and that’s the impact of what is known as ‘spike and silence.’ 

If you spend money on your campaign and go silent, then that half-life is about 4 days. ‘Spike and silence’ is a very bad idea. ‘Spike and sustain’ is the way to go. 

If you’re executing a strategy that is ‘spike and sustain,’ then one of your spikes can be the Super Bowl. 

It’s like you’re always in the market; you’re always running these ads at high frequency, low frequency, high reach, low reach, whatever it is. 

The Super Bowl can be a part of your spike strategy. 

Right after the Super Bowl is done, you will have lots of sustained marketing in the marketplace, and that will ensure that any lift you get from that few hours of buzz from the Super Bowl can be sustained by the rest of your marketing. 

At my former employer, if you were going to spend roughly $6 to $10 million on a Super Bowl ad for the media, creative talent, and production costs, then you also needed to put another $20 to $30 million into sustained advertising in the weeks following the Super Bowl.

That was the only way to get the Super Bowl halo to last, right? Otherwise, it’ll disappear in hours. 

Nowadays, as a part of your ‘spike in sustain’ marketing strategy, the Super Bowl can be a spike. 

Likewise, ‘back to school’ can be a spike. Thanksgiving can be a spike. A new product launch can be a spike. 

If those are all spikes that you do in advertising to get higher reach, get back into the consciousness of a wider audience, then a Super Bowl ad makes sense. 

If you do not have sustained marketing before and after the Super Bowl, then usually the Super Bowl ad is an ego play. It’s a vanity spec, right? 

But remember, for every dollar you invest in a Super Bowl commercial, you’re going to have to invest $3 to $5 in sustained marketing for weeks after the Big Game. 

If you don’t do it, then you’re going to get a brand or sales lift for a few hours or a few days. But that’s about it. You’re not gonna drive long-term profits.”

Get the newsletter search marketers rely on.



How to measure advertising effectiveness

GJ: “That framework is perfectly clear. But, with a 30-second spot during the Big Game costing $8 million, how do you measure advertising effectiveness so you can answer questions like, ‘Are Super Bowl commercials worth it?’”

AK: “Do things really simple. Most of the time, there are two use cases:

  • Performance.
  • Brand.”

Measuring performance marketing campaigns

AK: “When I say Performance, I mean driving short-term sales, which could be for B2B, B2C, nonprofit, for-profit… 

If your Super Bowl commercial has:

  • ‘Buy our product tomorrow.’ 
  • ‘We’re offering a Super Bowl coupon.’ 
  • ‘We’ve launched this brand new product.’ 
  • Or anybody responding to the Super Bowl ad gets a free lifetime supply of diapers with their product. 

If you’re doing a Performance Super Bowl ad for short-term sales purposes, we will:

  • Measure the sales that come from it within the first 48 hours. 
  • Then, we’ll run some financial models to see if that performance, the sales that we got, lasted beyond 48 hours. 

But it is all based on short-term sales. This is easy to measure. 

If you could run a sophisticated Media Mix Model, you could include a simple analysis and your Google Analytics report the following month.

But if your commercial is performance-oriented – it’s giving a coupon, launching a new product, starting a new promotion, etc. – then it’s all based on sales. 

We will measure short-term sales instantly, online, offline, and everywhere.

For larger companies, we have models that will help us understand what it’s like a month later. 

We did see a 1% lift in sales compared to normal times, and we can attribute that to our Super Bowl commercial, right? 

It’s probably not going to last more than a few weeks, but you can measure it. That’s performance marketing. 

The purpose of your ad is to rush everybody to buy the new Doritos Locos Taco, which you launched at the Super Bowl.”

Measuring brand marketing campaigns

AK: “The second use case, which is a brand advertisement, is a bit more complex. 

Remember the days when Budweiser would run four or five commercials? 

They’re not trying to drive short-term sales. Sure, maybe a few more people will buy Budweiser, but those gorgeous horses pulling the beer are meant to evoke something about the brand. 

It’s solving a longer-term problem.

If you and I were at Budweiser today, we might be trying to overcome the slump in sales for Budweiser over the last year… 

We’re trying to get people to reposition Budweiser back to the working man’s everyday, affordable beer with horses and good American feelings. 

This is a very good example of brand marketing.

A whole lot of commercials for B2B companies like Salesforce are grand commercials. There is no intent to drive only short-term sales. 

We measure two different things for those, and that’s when ‘spike and sustain’ is particularly important.

First, we’ll look at the brand outcomes from the Super Bowl. We’ll measure four important metrics:

  • Percentage brand lift.
  • Number of people lifted. 
  • Cost per individual lifted. 
  • Long-term impact on sales.

A lot of these commercials are trying to move the metric unaided brand awareness. 

It’s not brand awareness or aided brand awareness. Those are crappy metrics. 

Unaided brand awareness is the good metric. 

Usually, they try to move unaided brand awareness to get more Americans who usually don’t know us to get them to remember our brands. 

So, we’ll measure the percentage of lifts, the number of people lifted, and the cost per individual lifted.

What does that mean? 

For a Super Bowl commercial, it means how many points of unaided brand awareness were lifted over the next week. 

Now, let’s say we got two points, three points, or whatever it was. OK, great. 

How many people did we lift? How many people are going to remember a brand? 

If it was 300,000, even though over 100 million people watched the Super Bowl, that would be OK. 

Fine, 300,000. What was the cost per individual lifted? 

How much did it take to influence Greg, who is just one of the 300,000? 

You take your Super Bowl budget, divide it by 300,000, and get the cost per individual lifted.

It’ll say, wow, it costs us $6 to get Greg to remember us for a few days now. 

You can see, was it worth it? But we measure brand impact and then keep tracking it over time, so that’s the brand play.” 

Brand impact vs. sales impact

AK: “The dimension that we will measure first is the short-term impact of a brand ad; we measure those three metrics. 

Then comes the idea of a lagging sales effect from great brand marketing. 

You will measure this by the incremental sales driven and the cost per incremental sale from running the Super Bowl ad. 

Remember that’s the second tranche of measurement you will do. And this is where ‘spike and sustain’ is very important. 

Because if you did spike and silence, at best, if Jesus and Krishna are supporting you together, you will get some brand lift. 

In those three metrics, I mentioned, if you do ‘spike and silence,’ you will see zero impact on performance metrics like incremental sales or cost per incremental sale. 

But if you do ‘spike and sustain’ pitches and spend 3 to 5 additional dollars following the Super Bowl for every dollar you spend on the Super Bowl ad, you will also see a lift in sales, a drop in cost per sale, and a lift in incremental sales.

And you will see that for B2B companies, nonprofits, beer, cars, insurance, and everything else advertising on Super Bowls.”

Final takeaway: Is a Super Bowl Ad worth it?

As Kaushik explains, Super Bowl ads can be effective, but their impact is short-lived unless supported by sustained marketing. 

Measuring their success depends on the ad’s objective:

  • Performance ads focus on short-term sales and are easy to track using immediate sales data and financial models.
  • Brand ads aim to build long-term awareness and should be measured in two steps: first by evaluating brand lift (percentage lift, number of people lifted, and cost per person lifted), then by tracking the ad’s long-term impact on sales.

As Kaushik says, “Don’t judge a fish by its ability to climb a tree.”

Brand ads shouldn’t be evaluated purely on short-term sales. Instead, they require a different measurement approach to assess their true value.

The key takeaway?

A Super Bowl ad works if it’s part of a larger “spike and sustain” strategy. Otherwise, the buzz fades within days.

Dig deeper: Who won: Measuring the most effective Super Bowl 2024 Ads

Google shopping ads

Google resolved a six-month-long headache for online merchants by restoring filtered product download capabilities in Merchant Center Next, bringing the platform’s functionality back in line with its classic version.

The context. In digital commerce, precision matters. Merchants often need to:

  • Troubleshoot specific product listings.
  • Optimize particular product categories.
  • Analyze subsets of their inventory.

The previous limitation essentially forced merchants to sift through massive, unwieldy files — like finding a specific book in an entire library by dumping all books on the floor.

Why we care. The update allows merchants to export specific product subsets instead of being forced to download entire product feeds, a critical feature for businesses managing large, complex inventories.

First seen. This fix was first brought to our attention by Emmanuel Flossie on his blog.

Bottom line. A seemingly small technical fix can represent a significant operational improvement for digital businesses, underscoring how platform features directly impact merchant efficiency.

Microsoft Ads

Cybercriminals are exploiting Google Search ads to steal Microsoft advertising account credentials, revealing a sophisticated phishing scheme that has potentially been active for years.

The big picture. Attackers created malicious Google ads mimicking Microsoft Advertising’s official platform. The campaign redirects users through complex networks to steal login information. Researchers discovered potential infrastructure dating back multiple years

How it works. Hackers use a multi-step process to bypass security:

  • Create sponsored search results that look like legitimate Microsoft ads.
  • Implement cloaking techniques to evade bot detection.
  • Use Cloudflare verification to appear more authentic.
  • Present a convincing phishing page that mimics Microsoft’s login screen.

Why we care. This threat is significant because it can compromise advertising accounts, potentially leading to financial losses, reputational damage, and disruption of critical marketing operations across digital platforms.

Protect yourself

  • Verify URLs carefully before entering credentials.
  • Use two-factor authentication wisely.
  • Regularly monitor advertising accounts.
  • Report suspicious ads.

What’s next? Cybersecurity firms are investigating the broader implications of this phishing infrastructure, which appears to span multiple countries and platforms.

Bottom line. As online advertising becomes more complex, so do the techniques used by cybercriminals to exploit it.

Google crashed his retro gaming site

Brandon Saltalamacchia’s office, adorned with a dazzling collection of retro gaming paraphernalia, offers a glimpse into the passions that have driven his professional life.

In this interview with Saltalamacchia, you’ll learn about his humble beginnings as an independent publisher to navigating the labyrinthine challenges of SEO in a Google world.

The early days: A camper van and a dream

Saltalamacchia’s foray into independent publishing began in 2017 while working full-time for Future Publishing. A self-described “newb” in SEO and content marketing, he channeled his love for camper vans into a small passion project — a website dedicated to van life.

“It was a little pot on wheels,” said Saltalamacchia, recalling his first camper van, “but we had a bunch of fun with it.”

That website, built on pure enthusiasm and curiosity, caught the eye of a buyer in 2019. The sale allowed Saltalamacchia to pivot toward his true passion: retro gaming.

Retro Dodo was born as a personal project, combining Saltalamacchia’s knack for content creation with his lifelong love of classic games.

“I started writing about things I enjoyed and unboxing Game Boys [on YouTube],” he said.

It wasn’t long before the site began to gain traction, fueled by Saltalamacchia’s genuine enthusiasm and a simple, straightforward content strategy.

Building Retro Dodo: From passion to business

Retro Dodo grew steadily from its inception, thanks in part to Saltalamacchia’s willingness to experiment with SEO and social media.

“I installed the Yoast SEO plugin and made sure every little thing was green,” he said.

While Saltalamacchia admitted to following some misguided SEO advice early on, the site flourished due to its authenticity and dedication to serving its niche audience.

By 2021, Retro Dodo had evolved into a full-fledged media company with a team of six, producing daily content, video reviews, and even books. It reached about 2 million readers at its peak and Saltalamacchia recalled

“My [Google] Search Console said, “Congratulations, you hit 1 million organic results in May [2023],” Saltalamacchia said.

The site’s success brought collaborations with major brands and recognition from influencers like Casey Neistat, who invited Saltalamacchia to New York to discuss their shared love of retro gaming.

However, beneath the surface of Retro Dodo’s success lay a precarious dependence on organic search traffic — a vulnerability that would soon be exposed.

The Google algorithm crash

Google’s September 2023 helpful content update sent shockwaves through the SEO world and impacted many other independent publishers. For Retro Dodo, the impact was devastating.

We lost about 85% of our traffic,” Saltalamacchia said. “It felt … like you’re almost swimming and someone’s put a big weight on your feet and it’s just dragging you and dragging and there’s nothing you can do.”

Saltalamacchia’s initial optimism gave way to stark reality as months passed without recovery.

“I tried pretty much everything,” he said, detailing attempts to improve site speed, refine content, and follow advice from SEO consultants. Despite his efforts, Retro Dodo remained essentially invisible in Google.

The experience brought Saltalamacchia face-to-face with Google representatives, including Search Liaison Danny Sullivan. While the meeting offered a platform to share his frustrations, it ultimately provided little in the way of actionable solutions.

“Danny told me, ‘Keep doing what you’re doing. Your site’s great. I can’t see anything wrong with it.’ Which I wish he never said that to me in all honesty because you almost want to find something wrong to snip,” Saltalamacchia said.

Reinvention and a new chapter

Faced with dwindling traffic and mounting financial pressure, Saltalamacchia made difficult decisions, reducing his team and scaling back operations. Yet, Retro Dodo’s core community remained loyal, and Saltalamacchia refused to give up on his vision.

“We’re very lucky to have quite a large community and a lot of people that return to our work to read, especially news and reviews. We’re quite well known in our niche for that. So, we’re still profitable, we’re definitely nowhere near as what we used to make,” Saltalamacchia said.

Heading forward, Retro Dodo is pivoting toward video content, premium memberships, and creating its own products and events.

Retro Dodo’s transition to the Ghost platform reflects a broader shift in focus: building a sustainable, high-quality digital magazine for retro gaming enthusiasts.

Simultaneously, Saltalamacchia embarked on a new venture with Kagi, a paid, ad-free search engine designed to prioritize user experience over ad revenue.

“Kagi [is] trying to humanize the web,” he said. “No ads, no tracking … My full focus is on making Kagi a great environment and helping independent publishers and helping families search without distractions.”

In his role as a consultant, Saltalamacchia wants to help Kagi champion independent publishers and redefine the online search landscape. He also shared five promotional codes that will give you one month free of Kagi Ultimate, limited one per user. Once these codes are claimed, they are gone:

  • SEARCHLANDE48E1320
  • SEARCHLAND05311655
  • SEARCHLANDD10EC7C1
  • SEARCHLAND4F87658E
  • SEARCHLAND33EBD5B0

Lessons for creators

Saltalamacchia’s journey offers valuable insights for aspiring creators and independent publishers.

“People won’t really be blogging anymore unless they’re super passionate about that subject. So, I think creators are going to move to YouTube even though it’s just as competitive,” Saltalamacchia said. “The only people that are still doing it and still surviving are the ones with true passion for the niches that they cover.”

Google changed the game for independent creators. So what’s his advice for creators in this era of when we’re watching the enshittification of Google? Focus on creating exceptional premium-level content and building genuine relationships with your audience.

What’s next?

For Saltalamacchia, the future is a mix of nostalgia and innovation.

With Retro Dodo’s evolution and his work at Kagi, he’s poised to make a lasting impact on the retro gaming community and the search landscape.

“Google and YouTube are [basically] the same thing. And the creator economy over at YouTube is phenomenal. … There’s a really good financial incentive to build great content and build a community that supports you. 

“Whereas then there’s Google just destroying blogs left, right, and center. It really bewilders me how the search team have got it so wrong when the YouTube team have created such a fantastic environment to learn to be informed to entertain yourself and to build a potential great content business. so I think that’s where creators are going to move to.”

As Saltalamacchia looks to the future, one thing seems certain: it’s far from game over.

Never miss a new video. Subscribe to the Search Engine Land YouTube channel.

How volatile have Google rankings really been?

Some things in life are constant – Google rankings aren’t one of them.

If you’ve been paying attention (or just reading this website), you’ve likely noticed that rankings are becoming increasingly unstable. Industry veterans, with years of context, may feel this shift the most.

That’s why I believe SEO is evolving into something new.

What that means – and whether the industry is adapting well – is a discussion for another time (TL;DR: we’re not doing great, but we’re not failing either. Change is hard).

One key driver of this shift is SERP instability.

What I’d like to do here is explore that notion and give some concrete facts. 

The average level of volatility in 2024

Rank was 26% more volatile in 2024 than in 2023. 

It’s not as simple as it sounds, which is why we’ll look at multiple metrics to create a data picture as best we can. 

However, if you looked at how much rank volatility increased in 2024 and compared it to how much it either increased or decreased in 2023, the answer would be 26% – at least on desktop. 

Top categories by volatility change 2024 vs 2023 - US Desktop Data

Now, that’s not universal across every sector of the web.

For example, as you can see above, certain niche industries saw far higher volatility increases in 2024 relative to 2023.

If your site helps folks relish information about their favorite snack, it might be over 50% more volatile (for the record, relish is no one’s favorite snack).

However, what was almost universal was that all but one of the vertical’s Semrush tracks saw an increase in rank volatility in 2024:

Average Volatility Level by Categories

All but one vertical (Real Estate) saw what I would call a “noticeable” increase in rank volatility over the course of 2024 compared to 2023 (which itself was “noticeable”). 

I want to highlight that the data shows average volatility – already high in 2023 and even higher in 2024 (except for Real Estate).

I don’t always report on desktop versus mobile when discussing Google algorithm updates

In general, the numbers across devices are close enough that it doesn’t justify wasting your time. 

In this case, the difference between devices was clear – a full 10 percentage points.

Top categories by volatility change 2024 vs 2023 - US Mobile Data

While the desktop SERP was 26% more volatile in 2024 than in 2023, the mobile SERP was “only” 16% more volatile.

The disparity between devices continued all the way down to the niche level.

On desktop, the Health vertical, for example, was not one of the niches that saw the most increased volatility in 2024. On mobile, as shown above, it clearly was.

That’s not because keywords associated with the medical field were so much more volatile on mobile.

The numbers for the Health niche are quite similar across devices. The disparity is largely due to other verticals having higher rates of volatility in 2023 on mobile than on desktop:

Average Volatility Level by Categories - US Mobile Data

If you look at ecommerce, the vertical had literally the same level of rank volatility on both desktop and mobile in 2024. However, on mobile, the volatility average was 5 points higher.

The gap between the mobile and desktop volatility increase is due to the higher levels of mobile volatility in 2023, which resulted in less of an increase relative to 2024.

However, the levels of absolute volatility are the same across devices. (Again, using the Shopping vertical, the average volatility was at 8.5/10 on both devices in 2024.)

By the way, a volatility score of 8.5 is out of this world.

All these numbers, when factoring in the volatility levels in 2023 and then the increase of them in 2024, are out of this world.

The SERP is not safe.

Dig deeper: How to diversify your traffic sources

Get the newsletter search marketers rely on.



Is increased rank volatility a lasting trend or a temporary spike?

An increase in average volatility in 2024 doesn’t tell the whole story.

We need to determine if a single event skewed the data – perhaps one or two months of extreme volatility.

The answer? No. 

Volatility in 2024 was widespread. Except for July (and to some extent August), the year was consistently more volatile from the start.

SERP Volatility Trend by Monthly Average Volatility - US Desktop Data

July 2023 is interesting to recall because there was no official update. 

The volatility you see above in July 2023 was the result of an odd and ongoing period of extreme rank volatility that happened around the middle of that month:

SERP Volatility - July 2023
Image courtesy of Search Engine Roundtable

The upshot and the importance of the data is that it means we’re not just in a more volatile rank period that may or may not abate. 

Rather, it would appear we’re in a new scenario of what volatility on the SERP looks like. 

I can only speculate that it will get worse as Google has been reported to say they are moving to continuous and ongoing algorithm updates. 

How drastic is drastic? 

Another question neither the average level of volatility nor the volatility trends answer is how volatile? 

Meaning, how drastic is the rank movement? 

It’s entirely possible that smaller micromovements are a big part of the more volatile SERP (which, for the record, was already incredibly volatile for years – more on that later). 

Standard deviation is one of the best metrics to measure rank volatility. 

When you look at the baseline and how far off the volatility is, rank volatility is noticeably less drastic:

Image courtesy of Search Engine Roundtable

Every vertical saw a decrease in the standard deviation relative to 2023, aside from one (and the “news” SERP is its own beast).  

Now we have a scenario where the “amount” of volatility increased, but the extent of the movement itself decreased relative to 2023. 

Do not mistake that for “Oh, rank isn’t fluctuating in a drastic manner.” It’s relative to 2023, not in absolute.

If we take the Dolorean to 88 mph, we’ll see that back in 2021 standard deviation, outside of News, ranged between 1.15 and 1.69: 

Standard Deviation for Each Category - 2021

That range in 2024 (again outside of News) is 1.3 – 2.5. Rank is not “less volatile” over time. 

The average level of rank fluctuation may not be as drastic as in 2023, but as a paradigm, we are not even close to the levels seen in 2021 and have surpassed the higher extremes of rank movement seen in 2020. 

Back in 2020, we were looking at standard deviations above 1. Now, we’re talking about deviants above 2 (of which I have four above 2 at home). 

We can still pull back another layer. 

Is the reason the standard deviation is higher overall related to a few strong spikes of colossal rank volatility? 

Difference Between Max and Min Score Each Year

That doesn’t appear to be the case. 

The above graph shows a narrowing of the gap between the minimum and maximum levels of volatility. 

The difference between minimum and maximum volatility in 2023 was 8.1 points, down to 7.2 in 2024. 

That’s a less drastic “spiking” of max volatility (relatively speaking). 

There are two (if not more) possible reasons for this: 

  • The minimum score was higher, meaning we started at a higher level of volatility, which would make the gap between the minimum and maximum levels of volatility narrower. 
  • There were fewer large spikes but overall more “less drastic” rank movement so the levels just never got as high in 2024. Thus, the gap between the minimum and maximum levels of volatility is narrower. 

If you look at all the data together (see, there’s a method to my madness), some signs point to more volatility that is less drastic overall. 

Why?

  • The average amount of volatility is up in 2024.
  • The rank movement is less drastic overall in 2024 (see standard deviation).

Thus, to apply Occam’s Razor (which has nothing to do with actual razors), the most likely scenario behind the narrowed gap between minimum and maximum volatility is that the volatility, while more frequent, did not get as many “highs” as it did in 2023.

However, the counterargument would be the month-by-month volatility trends we saw above (adding here again for convenience), which show that the jump in the amount of volatility was steeper in 2023 than in 2024:

SERP Volatility Trend by Monthly Average Volatility - US Desktop Data

It’s not hard to see. August 2023 and August 2024 show just about the same levels of volatility. But look where the amount of volatility started in 2023, far lower than in 2024. 

One might speculate that if the amount of volatility spiked like it did in 2023, so did the levels of volatility.

This is a fancy way of saying, I don’t know – which I am not supposed to say in official SEO articles. (So you didn’t read that). 

But it also brings me to my next data point. The pivots are so good here it feels like a podcast. 

Things are volatile, but who’s counting? 

Me.

I am counting. 

Did you know that Semrush only recorded 15 days or low volatility in 2024? 

Of course, not. Who would actually know that off the top of their heads? That’s just weird. 

But it’s true. 

On desktop, there were just 15 days of low volatility and just 83 days of “normal” volatility.

For the record, yes, 2024 has 366 days, not 365. It was a leap year. I know how to add numbers. 

So, just assume there is one less day of high volatility to make yourself feel better.

Volatility Level Breakdown by Year - Desktop

By the way, that means a 64% reduction in the number of days of low volatility in 2024 and a 39% reduction in days of normal volatility. 

Conversely, there was a 19% increase in “high volatility” days in 2024 and an absolutely massive increase of 80% in “very high volatility” days! 

Slightly different on mobile with a few more days of low volatility throughout 2024 (although the number of high volatility days was the same): 

Volatility Level Breakdown by Year - Mobile

However, there were 12 fewer “very high” volatility days on mobile in 2024, so that’s good. 

But mainly, none of it is good.

Roughly 78% of 2024 was volatile, with 36% of the year being very volatile (desktop). That feels like a nightmare. For many, it was and still is. 

More volatility? Who freaking cares?! (Or as most Search Engine Land articles put it: why we care)

You. 

At least you should. Our conception of what Google is as a marketing channel is starting to shift. 

First, the results are less than stellar at times. 

I was Googling a medical condition, and I was forced to choose between the same content from different websites such as the Mayo Clinic, Web MD, whatever, or Reddit. 

That’s like having to choose between strawberry ice cream or strawberry ice cream with nuts.

Then there’s the whole LLM thing, AI search engines and AIOs, AI-generated content, AI something whatever, and yada, yada, yada.

And then, on top of that, content consumption trends have totally changed IMHO (they’re constantly changing, BTW).

Oh, and I forgot about Reddit being firehosed into the SERP. (Would you like sprinkles on that ice cream?) 

On top of all of that, the SERP is a heap of volatility. That’s a lot. 

It’s like Thanksgiving dinner with your family and your in-laws, and all that’s being served is boiled tofu. 

Also, they don’t have a TV, so you can’t watch football, and they don’t have beer; they have Zima from 1992. 

So what should you do about it? 

I didn’t say I was giving advice; I was just showing why you should care.

What you should do about it is a whole other conversation. And yeah, it goes far beyond “diversify your channels” or “aim for owned audiences.” 

Personally, I think it means taking a very hard look at how we approach audiences and resonate with them. 

Let that sink in for now.

Dig deeper: SEO beyond Google: Building your brand on Reddit, Quora, TikTok and more