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Google is allowing select sites to delay phase out of third-party cookies

Tuesday, January 9th, 2024

Google is giving websites the opportunity to request additional time to transition away from third-party cookie dependencies.

To address possible compatibility concerns, the search engine has introduced a third-party cookie deprecation trial. While Chrome plans to eliminate third-party cookies by Q3 2024, this program lets embedded sites and services temporarily enable them until December 27, 2024.

However, developers are expected to make the necessary changes by the trial end date.

Why we care. For marketers heavily dependent on targeted advertising through third-party cookies, delaying Chrome’s phase-out until the end of the year could come as a huge relief. But it’s still crucial to update your marketing strategy to be cookieless before the December deadline, as there won’t be any additional help afterward.

How it works. Eligible websites can enable third party cookie deprecation trials by using JavaScript to provide unique access tokens in Chrome. To request a third-party token during registration, activate the “Third-party matching” option on the origin trial’s registration page. The third-party token should be provided through JavaScript by creating an origin trial <meta> tag, not in HTML code or an HTTP header.

Trial participants are advised to deploy deprecation trial tokens before the grace period ends on April 1, 2024.

Eligibility. The program is specifically designed for embeds and services that use third-party cookies and meet Google’s strict eligibility criteria”

Review process. After you submit your application for the third-party cookie deprecation trial, Google will review your request. Response times will vary, however, if you have not received a response with one to two weeks, Google advises contacting them at 3pcd-deprecationtrial@google.com.

What Google is saying. A Google spokesperson said in a statement:


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Deep dive. Read Google’s guidance in full for more information.

Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing




How AI will affect the future of search

Tuesday, January 9th, 2024

Artificial intelligence (AI) is revolutionizing the digital landscape – leaving no room for outdated SEO tactics. As search engines increasingly leverage AI to anticipate user intent, we must completely rethink our strategies and balance human creativity and AI efficiency to stay ahead. 

Let’s explore the innovations, opportunities and pitfalls to master as AI propels search into a new era.

Search evolution: Prioritizing intent over keywords

The era of keyword stuffing is over, replaced by a focus on user intent. 

Search engines have evolved to understand the context behind queries. This shift demands a change in SEO strategies – prioritizing creativity and relevance over mere keyword density.

Today’s SEO is about aligning with user goals and pain points, not just keyword counts. Including elements like location-based services and personalized recommendations turns searches into dynamic interactions between users and your content.

Embracing semantic search

Incorporating semantic search requires a mix of data analytics and empathetic writing. This approach focuses on delivering relevant and valuable insights, aligning with E-E-A-T guidelines for expertise and trustworthiness.

In this new landscape, keyword research remains valuable but as part of a wider strategy. It’s about creating meaningful interactions and standing out in a digital world filled with information overload.

Consider Google’s BERT algorithm. It uses natural language processing to understand the real intent behind a search. This is a leap from simple keyword matching to predictive, context-aware results. 

This essentially means AI doesn’t just improve search – it anticipates our needs, often before we articulate them. 

AI does more than just understand user intent. It also brings personalization to search engines. 

By analyzing past user data like location and search history, AI can predict the future preferences of search engine users.

AI’s transformative role in SEO

AI is a pivotal force in digital marketing, making it important for content creators to understand the technology. 

It involves machine learning algorithms that analyze data to predict relevant content for search queries. 

With search engines like Google and Bing employing AI to enhance result accuracy, marketers must understand AI’s impact to remain competitive.

Leveraging AI for advanced content strategies

AI tools offer more than just enhancements to current strategies. 

They enable optimization through trend identification and advanced analytics. These tools provide insights into strategy performance, like click-through rates and page engagement. 

AI also suggests improvements based on user behavior, revolutionizing content optimization by revealing new opportunities and offering data-driven recommendations for continuous enhancement.

The balance between man and machine: The future trend?

Despite AI’s advancements, the need for human narrative crafting remains. 

This balance is where concepts like AIO and my C.R.A.F.T framework become crucial, merging machine learning with human intuition to produce compelling, search engine-friendly content.

Artificial intelligence optimization (AIO) in content creation

AI’s role in content creation marks a new era. Enter AIO writers.

It starts with AI drafting content, embedding keywords, and aligning with search engine results pages. But AI alone is not enough. A human writer trained in AIO takes over next. They take AI drafts and make them better. 

These optimized pieces attract readers and meet the criteria of modern search algorithms. They keep the language and brand voice unique.

The interesting thing about this model isn’t just about quantity. I am talking about accuracy and trustworthiness, which are essential for any high E-E-A-T content strategy. 

Marketers who embrace AIO in their strategy are leading the way – not keeping up.

Synergy of AI and human expertise in SEO

AI boosts efficiency, but the nuanced touch of human writing brings depth and appeal to the content. This collaborative process involves using AI for initial drafts and human skills for final refinements. 

Today, creating SEO-friendly content requires a careful approach. AI lays a solid groundwork, but human skill is what makes content stand out.

What C.R.A.F.T. is all about

I developed the C.R.A.F.T. framework to steer content creators in a rapidly changing digital environment, especially when working with AI-generated content. 

AI writing isn’t ready to publish as is. It lacks your personal experiences, client insights, and unique tone.

That’s where C.R.A.F.T. comes in. It empowers writers to infuse AI content with these essential human elements and ensures your content reflects you and your audience.

Here’s what it looks like. 

CRAFT better content

Cut the fluff

C.R.A.F.T. centers on concise, impactful writing. Eliminating excess words is essential in today’s information-saturated world. 

This approach aligns with Google Search Essentials (formerly Webmaster Guidelines), which prioritizes valuable content for users.

Review, edit, optimize

Transform good writing into great communication. Refine syntax and strategically integrate keywords, balancing SEO with reader appeal.

Add images, visuals, media

You need visuals. They enrich your text and help explain complex ideas. Alt tags and clear visuals also contribute to SEO by enhancing user experience and search indexing. 

Fact-check your content

Fact-checking establishes authority and combats misinformation. Truth is our responsibility as creators, reflecting Google’s E-E-A-T principles.

Trust-build

This involves adding personal stories and authoritative links to build trust with your readers.


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Generative AI’s role in search results

Generative AI is redefining content ranking based on quality. This advancement challenges traditional SEO tactics, as algorithms can now create and assess content unprecedentedly.

Elevating quality standards across the board

In this competitive arena, high-quality standards become paramount. 

Google’s evolving algorithm updates now prioritize relevant, original and useful content – mirroring the objectives of generative AI.

This shift calls for stringent fact-checking and authenticity in content creation. 

Enhancing user experience through AI

Generative AI impacts more than just search rankings. It influences creative storytelling, tone differentiation, and user engagement metrics. 

The narrative around facts enhances user experience, as authoritative links within content add credibility.

However, despite AI’s advanced capabilities, the essential human element in content creation cannot be overlooked.

The blend of technology and the innate human touch in crafting compelling narratives is irreplaceable.

Adapting to AI-driven search engine marketing

The future of search engine marketing is rapidly evolving with AI advancements. Marketers must stay informed and prepare for this change. Here are key strategies:

Marketers need to stay informed, understand challenges, navigate copyright issues, and maintain regulatory awareness to thrive in the AI-driven future of search engine marketing.

Integrating human expertise with AI in search technology

Merging human expertise with AI is becoming crucial in optimizing for search. 

This combination is not just helpful – it’s essential to master modern search algorithms.

AI brings immense processing power but lacks human-like, nuanced understanding. Marketers need to use their insights to refine AI results. This leads to a more focused approach that matches user intent, boosting efficiency.

This fusion also helps predict consumer behavior shifts that data alone might miss. Combining metrics with human empathy ensures digital strategies connect personally with users.

Creativity and predictive analytics: A powerful duo

Creativity is a core human factor and the key to standing out in a crowded market. 

When blended with AI’s predictive analytics, creativity becomes both original and data-driven, maximizing impact.

We see this partnership in action when analyzing metrics like click-through rates. Human creativity is the factor to lean into to build interest and curiosity, while AI can optimize reach based on these insights.

Making better decisions with AI and human insight 

AI is great at quickly spotting patterns helping in SEO decision-making. 

But without human strategic oversight, AI alone might miss opportunities that need human cultural understanding or trend identification.

Professionals must use AI tools to enhance, not replace, their decision-making. This approach allows for quick yet well-thought-out strategic choices.

Shaping the future of search with AI

AI is reshaping search. It’s changing how we create content, adapt to algorithms, and stay ahead in marketing. The future of search isn’t just about keywords – it’s about understanding and utilizing AI.

Remember the milestones that got us here. Keep my C.R.A.F.T framework handy as you refine your SEO approach: Cut through the noise, enhance with custom visuals, and build trust with authentic stories.

Understand how to function in the role of AIO – AIOs are not just helpers; they’re co-creators. Generative AI is not a threat but an ally for those who learn to collaborate effectively.

The takeaway? How AI will affect the future of search hinges on our ability to blend human ingenuity with machine efficiency. Master this, and the way forward is bright. 


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Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing




TikTok launches new ad performance measurement tools

Tuesday, January 9th, 2024

TikTok has launched two new ad performance measurement tools:

Given that conventional last-click attribution models fail to capture four out of five purchases attributed to TikTok, these new features are designed to offer marketers improved insights into the effectiveness of their campaigns on the social platform.

Why we care. A clearer understanding of the customer journey reveals the returns from your advertising investments, empowering you to make informed decisions about your ad spend moving forward.

Cross-Channel Partners. This feature analyzes the impact of TikTok ads across various marketing touchpoints before a purchase is made. It focuses on two key areas:

  1. Multi-touch attribution: This involves measuring the effectiveness of TikTok advertising across digital touchpoints. It provides marketers with a deeper understanding of the customer’s path to purchase, helping them identify the most effective channels to achieve their goals.
  2. Post-purchase survey (PPS): This survey-based tool integrated with e-commerce stores, helping advertisers understand how customers discover their product/brand and gathers attitudinal metrics (how customers feel about your product). By using the voice of the customer as a source of truth, PPS helps advertisers to gain a more complete view of attribution, contributing to a deeper understanding of advertising impact.

Lift Partners. Lift partners gauge the impact of TikTok advertising, focusing on four main areas:

Brand lift, a focus area under the Measurement category, is not a new addition to the program in this launch; it has been a part of the program previously.

Eligibility. To work with a measurement partner for Cross-Channel and Lift solutions, or to be considered for the TikTok Marketing Partners Program, visit the TikTok Marketing Partners website.

What TikTok is saying. Melissa Yang, Global Head of Marketing Partnerships and Industry Education, TikTok, said in a statement:


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Deep dive. Read TikTok’s announcement in full for more information.

Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing




Google has started phasing out third-party cookies

Thursday, January 4th, 2024

Google has officially started to phase out third-party cookies.

A new feature called Tracking Protection, which restricts third-party cookies by default, began rolling out to 1% of Chrome users globally on January 4, 2024.

If you have been affected, you will will receive a notification when you open Chrome on either desktop or Android devices.

Why we care. If your marketing heavily depends on targeted advertising with third-party cookies, it’s time to reconsider your tactics. Begin preparing your websites now before Google completely retires third-party cookies in the latter half of 2024.

Impact: The affect of the Tracking Protection tool rollout is yet to be determined, however, discussions among digital marketers on X indicate that advertisers are still not ready for the removal of third-party cookies:

Problems to watch out for. If your site relies on third-party cookies and the roll out of Tracking Protection causes issues (for example, you refresh a page multiple times), Chrome will prompt you to temporarily re-enable them by clicking the eye icon on the address bar’s right side.

What are third-party cookies? A third-party cookie is a small piece of data placed on a user’s device (computer, cellphone, or tablet) by a website different from the one the user is currently visiting. It tracks the user’s browsing history, enabling personalized ads based on their activities.

Why now? Google considers phasing out third-party cookies by the second half of 2024 as a crucial move in its Privacy Sandbox initiative. The final decision depends on resolving competition concerns from the UK’s Competition and Markets Authority.


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Deep dive. Read ‘SEO and the future world without cookies‘ by Search Engine Land contributor Adam Audette for more information on what a cookieless world will look like for SEO and PPC marketers.

Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing




GroupM teams up with YouTube, Disney and NBCU to transform streaming ads

Thursday, January 4th, 2024

Group M is planning to simplify the buying and placement of ads on streaming services for advertisers.

Through the GroupM Ad Innovation Accelerator program, GroupM is joining forces with BrightLine, Disney, KERV, NBCUniversal, Roku, Telly, and YouTube to develop a new ad format for streaming services. This format aims to cater to viewers who prefer to avoid commercials.

The collaborative effort aims to transform the conventional 30-second ad spot by incorporating advanced digital technologies. This innovation aims to strengthen connections between brands and viewers, delivering measurable outcomes for advertisers partnering with GroupM.

Why we care. This program addresses changing viewer preferences and offers a potential solution for more effective streaming service advertising. It also presents a promising opportunity for advertisers to connect with younger audiences, who are increasingly shifting from traditional TV to streaming services.

What is GroupM?  GroupM, the media-buying division of European advertising conglomerate WPP, is one of the largest investors of advertising dollars in the U.S.

What Group M is saying. Mike Fisher, Executive Director, Investment Innovation, GroupM U.S., said in a statement:


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Deep dive. Read Group M’s announcement in full for more information.

Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing




Google Ads updates gambling and games policy

Thursday, January 4th, 2024

The Google Ads gambling and games policy United States country-specifics has been updated.

From January 4, the platform will accept and run ads for sports betting from state-approved entities in Delaware.

Why we care. Eligible advertisers who want to run sports betting ads in Delaware will need to apply for accreditation.

Certification. To obtain certification, follow these steps if you meet Google’s policy and country-specific requirements:

You must submit a separate application form for each country you want to target.


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Deep dive. Read Google’s announcement in full for more information.

Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing




Building a winning Facebook and Instagram strategy for 2024

Thursday, January 4th, 2024

Advertising on Meta presents unique opportunities that Google Ads doesn’t offer.

Whether your goal is lead generation or ecommerce, Menachem Ani, PPC expert and founder of JXT Group, shared valuable insights at SMX Next on how to optimize campaigns for Facebook and Instagram.

Read on to learn Ani’s seven-step frameworks for building winning lead generation and ecommerce strategies in Meta’s automated landscape.

Meta Ads > Google Ads?

When advertising on platforms like Google, you’re restricted to reaching people searching for your product or service.

However, when placing ads on social platforms like Facebook and Instagram, the possibilities are more diverse, according to Ani. He explained:

Should you spend more on Google or Meta?

A multi-channel approach is usually best but the answer depends on the nature of your business, according to Ani. He said:

Lead generation on Facebook and Instagram

Although Meta ads are probably best known for driving results in ecommerce, Facebook and Instagram ads can also be used to effectively generate leads. The key is to focus on quality over quantity (i.e., leads that will actually convert into sales). Ani explained:

The challenge with Meta lead generation

Although lead generation campaigns on Facebook and Instagram can drive great results, you’re also likely to receive a lot of spam leads, according to Ani.

The system tends to optimize for form submissions rather than real-time revenue like in ecommerce, which can result in more leads of lower quality. The challenge is finding a balance to get better quality leads, even if it means fewer form submissions:

7-step lead generation framework

Ani shared a seven-step strategy to address issues like spam and enhance lead generation results through Facebook and Instagram ads.

1. Leads > traffic

The campaign goal you choose is crucial. The Meta algorithm is powerful but specific.

If you run a traffic-focused campaign, you’ll get traffic – but that doesn’t necessarily translate into leads. To sell and get inbound inquiries, you need leads, Ani explained:

2. Test dynamic and standard creative

When setting up your campaign on Facebook, you can choose to create individual ads or use dynamic creative, which is like responsive search ads on Google – and it’s important to explore both options.

Although testing various targeting and ad creatives is usually advised, dynamic creative works well for smaller lead generation campaigns. Ani explained:

3. Use customer lookalikes and interests

Ani explained that while the pixel is powerful for targeting based on website activity, when it comes to lead generation, especially on newer or smaller accounts, custom audiences can be effective.

Instead of broad targeting, he recommends creating lookalike audiences from your customer list or qualified leads.

4. Use Facebook and Instagram

Advertisers often try to manually control where their ads appear, but the algorithm is powerful. It’s best to let the system show ads wherever on Facebook, Instagram, and Messenger, according to Ani.

The algorithm efficiently regulates ad placements based on where conversions are happening. So Ani recommends allowing the algorithm to do the heavy lifting.

Limiting exposure with manual adjustments can increase costs and you may miss out on untapped potential, Ani said:

5. Think beyond video creatives

Once you’ve identified your audience, the next step is crafting your message.

While ecommerce often emphasizes video creative, for lead generation, image ads surprisingly work well, according to Ani. Video ads are effective too, but creating good videos, especially for lead gen, can be challenging.

Plain images or overlaying text onto an image, like banner ads, are effective. Because your audiences are broad, the messaging in your image ad or the accompanying copy serves as a form of targeting.

6. Create dedicated landing pages

When a user clicks your ad, the destination matters, especially in lead generation. So consider options like sending them to your homepage, a dedicated landing page, or using embedded Facebook or Instagram forms. Ani recommended creating embedded forms:

7. Conversions are not sales

Tracking the source of each lead is crucial. You can add UTM parameters to your ads to see, in real time, which campaign, ad set, and ad creative a specific lead came from.

Over time, by analyzing this data in your CRM, you can establish patterns.

For example, a breakdown of 30 leads from a specific campaign, including their current status, can reveal insights. Isolating and analyzing such data helps identify what’s working well, whether it’s a specific creative resonating with consumers or certain audiences performing better.

This information is valuable for optimizing your future lead generation efforts, Ani explained.

Ecommerce ads for Facebook and Instagram

Ecommerce differs in that the system automatically tracks revenue in real time, according to Ani. This simplifies the process, as a lead often translates directly to a sale.

However, industries with high fraud rates may pose challenges. Tracking revenue in real time lets you assign a dollar value to each order, making it easier to align with profit-centric optimization.

Many direct-to-consumer (DTC) operators use Meta ads and email in their marketing mix. Yet, ecommerce doesn’t have to be purely transactional, Ani said:

7-point ecommerce framework

Here is Ani’s seven-step guide to drive ecommerce results using Facebook and Instagram ads.

1. Test Advantage+ carefully

Unlike lead generation campaigns, where the primary option is conversion-focused, ecommerce allows for a different campaign type called Advantage Plus Shopping. This automated and algorithmic approach, with fewer controls, is akin to Google’s Performance Max.

Advantage Plus Shopping is broad and less structured than a standard conversion purchase-optimized campaign.

2. Go broad on targeting

For broad targeting in ecommerce campaigns, it’s often effective to let the system go “crazy”, according to Ani. Allow it to target whoever it deems most likely to purchase, excluding recent purchasers, such as those in the last 30 days.

Additional audience limitations can artificially increase CPMs, so it’s generally better to go broad and let the powerful Meta algorithm determine the most promising targets based on real-time revenue data. Trusting the algorithm’s capabilities and leaning into its power tends to yield positive results.

3. Purchase > Add to cart > Clicks

In ecommerce, when running conversion campaigns, it’s crucial to be specific in your objectives.

While the powerful system will deliver what you ask for, specifying actions like “add to carts” or “clicks” might not lead to actual sales. Ani explained:

4. Trust in seven-day click

In ecommerce, attribution is different from lead generation. While one day is often sufficient for leads, ecommerce purchases may require more time.

Leaning into a seven-day click attribution is generally recommended. This longer period accommodates the full purchase journey, acknowledging that a user who clicks on an ad may not be ready to buy on the same day.

Avoid one-day view attributions, which can inflate attribution figures due to the widespread exposure of ads on Facebook and Instagram. Ani added:

5. Get creative with creatives

When it comes to creative in online marketing, testing is key, according to Ani. You can experiment with various formats like image ads, video ads, and carousel ads.

Within each type, there are diverse approaches.

There’s no one-size-fits-all solution, so it’s essential to test different creative elements to discover what resonates best with your brand. What works for one brand may not necessarily work for another.

6. Match creative cycling to spend

When it comes to testing new creative assets, the focus should be on the traffic flow through a specific ad rather than a specific time or budget. Ideally, you want a significant amount of traffic in the hundreds or even a couple of thousand clicks, to establish statistical significance.

This ensures that the data collected is reliable and can be trusted for making informed decisions. With only a few clicks or orders, it’s challenging to gauge whether the creative will work at a larger scale. Emphasizing the amount of traffic passing through an ad allows for a more robust evaluation of its effectiveness.

7. Keep naming consistent

Maintaining consistent ad naming conventions is crucial for effectively tracking the performance of your creative assets.

By properly naming your ads (including details like asset type, destination, call-to-action, and more), you can easily filter and report on their effectiveness. This approach allows you to compare the performance of different ad types, such as image ads versus video ads or influencer campaigns versus others.

Consistent ad naming ensures that you can quickly and accurately analyze your data to make informed decisions about your advertising strategy.


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Key takeaways

Whether running a lead generation or ecommerce campaign on Facebook and Instagram, there are key strategies to consider. For lead gen, focus on:

Meanwhile, in ecommerce, allow the system to handle more targeting, placing greater emphasis on creative component testing.

Both Facebook and Instagram are valuable additions to your marketing efforts. However, it’s essential to integrate them holistically into your overall strategy.

As ad platforms become more sophisticated and algorithmic, understanding when to let the system handle tasks and when to intervene is crucial.

Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing




How to combine GA4 and Google Ads for powerful paid search results

Wednesday, January 3rd, 2024

Google Analytics 4 (GA4) offers enhanced Google Ads integrations and features that surpass those available in its predecessor, Universal Analytics.

To make the most of these new and updated capabilities, Google Ads expert Charles Farina discussed the latest improvements in conversion tracking, audience analysis, and reporting at SMX Advanced.

Read on to discover how integrating GA4 and Google Ads could boost your paid search results.

Conversion tracking updates

To measure your campaign’s success accurately in GA4, you need to configure your conversions. However, there are some key changes you need to be aware of before diving into this process.

New administration section

For starters, there is a brand new administration section in GA4, which was rolled out toward the end of 2023. Farina said:

More goals

Historically, only 20 goals were available in the free version of Google Analytics – and you weren’t allowed to reuse them. This could be problematic because if marketers were using GA for a long period of time, they would often run out of goals, Farina explained.

However, this feature has been “completely rebuilt” for GA4. He commented:

Audience updates

Google has also improved audiences in GA4, which Farina sees as a crucial feature for both paid ads and other aspects. However, many advertisers haven’t been using or activating them in Google Ads. Farina hopes that the changes in GA4 will encourage more utilization of audiences.

GA4 audiences automatically available in Google Ads

Types of audiences

Explorations paid-for features now free

Another major change rolled out by Google is that a bunch of features that previously only existed in the paid-for version of Google Analytics are now available to everyone in the free version of GA4 – for example, “funnel explorations” (see image below).

Attribution

Accurately measuring attribution is critical for marketing campaigns. This is one of the most misunderstood areas within GA4, Farina said.

User acquisition report

Real time report

Traffic source report

Data driven attribution model

There are two places where data driven models live in GA:

Quick tips

Farina concluded the session by sharing three quick tips on how you can get even more out of Google Analytics.

1. Check your data retention settings

Data retention settings inside GA4 is one of the most problematic areas new users run into. Farina explained:

2. Be aware of your reporting identity

One of the biggest challenges that’s still occurring right now is with thresholding, according to Farina. This is because, by default, when you link and create a new GA4 property, it enables Google signals and uses it as a reporting identity in GA4, which can cause issues. He explained:

3. Learn the different attribution scopes

One of the most misunderstood areas of GA4 is how attribution works, according to Farina, but mastering this topic can set you up for success. He concluded:

Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing




Better PPC account health in 2024: How to avoid modern pitfalls and wasted spend

Wednesday, January 3rd, 2024

Regular audits of Google Ads and Microsoft Advertising campaigns are crucial for PPC marketers.

Failing to do so can result in significant costs for clients, and what’s more, it’s often an entirely avoidable expense.

To avoid common pitfalls and optimize spending in PPC campaigns, Melissa Mackey, paid search director at Compound Growth Marketing, provided a comprehensive walkthrough of the most costly mistakes she comes across during auditing and her top tips for avoiding these errors at SMX Next.

Below is a summary of the insights and advice she shared.

Always check your campaign goal settings

Mackey shared a cautionary tale about inheriting accounts with ample clicks but minimal conversions:

Default settings you should never use

Mackey suggested steering clear of certain default settings that come pre-configured in your Google Ads campaigns, despite the convenience of having them in place. For example:

1. Broad Match without smart bidding or audiences

2. Broad Match campaign setting

3. All the networks

4. Location targeting method

5. Exclude locations that charge tax

6. Conversion counting conundrum

Hidden settings

Mackey went on to address the many hidden settings in both Google Ads and Microsoft Ads – and how to deal with them.

Automated extensions

Expanded audiences

Microsoft Ad group settings

Microsoft Ads has a lot of ad group settings that are different from Google and this can be used to your advantage, according to Mackey. For example:

Avoiding pitfalls

Next, Mackey talked about common mistakes she finds in audits and shared advice on avoiding them.

CPCs still matter

Keeping tabs on CPCs

Keep rules in check

Auditing your account

Mackey wrapped up her SMX Next session by emphasizing the importance of auditing your account. She concluded:

Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing




LinkedIn ad prices surge as advertisers’ X boycott continues

Wednesday, January 3rd, 2024

LinkedIn ad prices have soared due to a surge in demand reportedly driven by the advertiser boycott of X.

Why we care. If you’re thinking about moving your ad spend away from platforms like X in 2024, LinkedIn could be a solid alternative to consider. Marketers are seeing good returns, but keep in mind it comes with a higher cost, so be sure to check your budget before making the switch.

Ad prices soar. In the past year, the cost of ads on the Microsoft-owned platform has surged by as much as 30% in some cases, reports the Financial Times. Leesha Anderson, the vice-president of digital marketing and social media at Outcast ad agency, told the paper:

One media buyer revealed that the cost per 1,000 impressions of an ad was now as much as $300 for premium LinkedIn campaigns. In contrast, running a comparable campaign on Meta’s platforms costs between $10 and $15.

How ad prices are calculated. LinkedIn ad prices are determined by an auction system based on market demand. The greater the demand, the higher the ad price.

ROI. Despite the steep rise in LinkedIn ad prices, marketers are claiming to see substantial returns on their investments. Advertisers are reporting as much as 20% ROI, indicating that for every $100 spent, they are generating profits of $120.

LinkedIn ad revenue. The platform’s annual ad revenue soared by 10.1% year-on-year in 2023 to almost $4 billion, according to Insider Intelligence. The research group now forecasts that growth will soar by an additional 14.1% in 2024.

What Microsoft is saying. Penry Price, LinkedIn’s vice-president of marketing solutions, said that “more brands” are investing their ad spend in LinkedIn because of the platform’s unique targeting capabilities. The platform claims to have twice the buying power of the average web audience, with four out of five members driving business decisions.

Search Engine Land has reached out to Microsoft for additional comment.


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Deep dive. Read LinkedIn Ads in 2023 for more information on how the platform has strengthened its position with B2B advertisers. 

Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing




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