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Google Ads lays off hundreds of staff amid support crisis

Written on January 17, 2024 at 10:13 am, by admin

Google will lay off approximately 1,000 employees from its advertising sales team this year.

Why we care. Advertisers told Search Engine Land last week that they are already struggling to solve issues impacting their Google Ads accounts as they can’t get hold of their reps. The reduction in staff could exacerbate the situation, further complicating problem resolution for marketers.

Changes to come. News of the staff layoffs comes just weeks after Google Ads Liaison Officer, Ginny Marvin, confirmed that support is not being phased out but “changes are being made.” Google has not confirmed what changes we can expect, but Marvin did add:

• “I do think Support is an area where LLMs/Google AI will be able to make big strides in improving experiences. That’s not happening yet, but work is underway. Stay tuned.”

What Google is saying: Commenting on the staff layoffs, a Google spokesperson told Search Engine Land:

• “Every year we go through a rigorous process to structure our team to provide the best service to our Ads customers.”
• “We map customers to the right specialist teams and sales channels to meet their service needs. As part of this, a few hundred roles globally are being eliminated and impacted employees will be able to apply for open roles or elsewhere at Google.”

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Deep dive. Read our deep dive into why advertisers think Google Ads support is at an all-time low for more information.

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

Growth marketing 2024 playbook: Focus on customer lifetime value

Written on January 16, 2024 at 6:08 am, by admin

Forget flashy ads and vanity metrics. 2024 is all about strategic growth marketing focused on building real customer loyalty.

Leading brands know the most valuable customers aren’t one-time buyers, but passionate fans who provide recurring revenue. 

Here’s how to structure marketing experiments that move users through the AARRR funnel, from acquisition to revenue and beyond.

What is growth marketing?

Growth marketing is a type of marketing aimed at growing and scaling a business through customer loyalty and advocacy.

Unlike traditional marketing, it is less focused on gaining new customers in the short term and more on getting the right customers and ensuring their allegiance to your brand in the long term. 

Successful growth marketers deeply understand their buyers and how they move through their entire customer lifecycle from brand awareness to purchase, repurchase, and referral.

These marketers then combine customer data and market insights to create an ideal consumer profile and experiment with creative concepts on the favorite channels of their most passionate fans.

Growth marketing vs. traditional marketing: AARRR framework

Venture capitalist Dave McClure’s AARRR framework (a.k.a., Pirate Metrics) is the most popular growth marketing framework. 

McClure saw many of the startups he worked with placing too much emphasis on vanity metrics without recognizing which metrics were actually indicative of business growth. 

His philosophy? Your most loyal customers (and the users they refer) provide better ROI than any other marketing channel. 

His AARRR framework extends the traditional marketing funnel past a user’s relationship with a product they buy and into their lifetime relationship with the brand they buy it from.

The steps in the AARRR growth marketing funnel are as follows:

• Acquisition: User becomes aware of brand.
• Activation: User experiences product or service.
• Retention: User loves experience; returns for more.
• Referral: User recommends brand to friends/family.
• Revenue: User becomes a reliable source of recurring revenue.

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Growth marketing in 2024: Getting started

Because growth marketing is about keeping your most reliable customers engaged and excited to recommend your brand to their friends, you’ll first want to define who those customers are (or who they’re most likely to be) and what specific brand value or product quality keeps them coming back. 

Use last year’s data to define your ideal customer

Review your 2023 performance. Look for trends and similarities among repeat users, and use this data to define or redefine your buyer personas. Some places to look:

Demographic data from ad campaigns

• User journeys and interests are constantly evolving. In some industries, the journeys evolve more rapidly than in others. 
• Your super fans of today may be the same fans you had 20 years ago, but those fans may be 20 years older now.
• If you take a closer look at your demographic data and the results come as a surprise, you’ll need to ask yourself two questions:
  • How do I shift my marketing strategy to continue resonating with my current audience for years to come?
  • If my marketing is no longer resonating with people in this demographic, then how can I modernize my message to reach this new younger audience? 

Purchase trends, for good and for bad

• Do your most loyal users have similar shopping experiences? Do they buy similar products in a similar order along a similar timeline? 
• If you can spot a chronological relationship between user purchases, you can use sequential remarketing to increase brand loyalty among users most likely to engage in that purchasing behavior. 
• On the other hand, if you identify a decrease in brand loyalty after your repeat customers purchase a specific product or service, you should ask for their feedback and be willing to address their concerns directly in both private and public forums. 
• Social media and email can be great marketing channels for making customers feel heard while poking a little bit of fun at your brand (if humor is part of your brand voice).

NPS survey results

• Do any products or services stand out as obvious fan favorites? If so, ask yourself how you can best leverage those products in your growth marketing efforts. 
• Are several customers raising the same complaint? Use this feedback to reexamine your user experience, customer service, and product roadmap to identify opportunities for improvement. 
• Make responding to user feedback and pain points part of your content marketing strategy.

Dig deeper: How to create and execute a buyer journey-based content strategy

Define your North Star metric

Your North Star metric is a single metric that best captures the core value your product delivers to customers. It should be:

• Measurable.
• A long-term goal that won’t change within a year.
• Within your control and not dependent on outside variables.
• A direct contributor to your company’s overall vision, mission or strategy.
• Aligned with your product or brand’s core value proposition.

Some examples from successful companies:

• Spotify: Time spent listening.
• Airbnb: Number of nights booked.
• Facebook: Monthly active users.

Any KPIs you use to test the hypothesis of a growth marketing experiment should ladder up to your NSM. 

Dig deeper: SEO KPIs to track and measure SEO success

Growth marketing experiments to try in 2024

Acquisition: Cross-platform lead generation content marketing

Question: How do I attract the most ideal customers?

Find out where your ideal customers hang out and what types of content are most likely to bring them to your brand with a cross-platform lead generation content marketing experiment.

Some suggested variables to test:

• Format: How-to guides, ebooks, webinars, videos, industry reports, whitepapers, case studies, surveys and quizzes, and problem-solving templates.
• Tactic: Lead magnets, promos, contests, giveaways, challenges, influencer partnerships.
• CTA: Sign up, subscribe, join the club, try free, create your free account.

The key is to start testing a single variable across all available platforms and refine your strategy based on which formats/tactics/CTAs perform best on each platform.

Potential KPIs: Conversions by source/medium, conversions by landing page, MQL to SQL conversion rate

Activation: Conversion rate optimization

Question: How can I improve the customer experience?

Before improving your customer experience, you must identify where customers drop off.

Conversion rate optimization (CRO) is the process of making intentional changes to your customer experience to determine if those changes improve conversion rates. 

Here are a few ways to declutter and enhance the customer journey:

• Adding clear product benefits to your hero section copy.
• Reducing steps to purchase.
• Reducing or reformatting form fields.
• Removing unnecessary buttons, links, or popups.

You’ll also want to reassess your onboarding workflow. If users are creating accounts or signing up for trials but aren’t turning into paying customers, look for opportunities to share instructional content that will encourage them to use your product. 

Potential KPIs: customer acquisition cost (CAC), abandonment rate by page

Retention: Reengagement campaigns

Question: How do I entice my customers to keep coming back?

How do you break through the massive sea of marketing noise flooding the average user’s inbox, reading list, social media feed, and search results?

Unsurprisingly, retention is one of the most challenging parts of any business development strategy. At this stage of the growth marketing funnel, you should test different customer re-engagement methods to see which tactics are most likely to remind users why they love your brand.

Some suggestions to try: 

• Personalized offers based on purchase history.
• Time-sensitive promos.
• Emails with new product or feature updates since the user’s last engagement.
• Remarketing ads.

While the “hate to see you go” email has become a popular re-engagement marketing tactic, you can stand out and glean valuable customer insight by adding a short customer feedback survey to yours.

If someone had a poor experience with your brand, you may not win them back, but you may be able to use their feedback to improve your customer experience for future users.

Potential KPIs: click-through rate (CTR), customer retention rate (CRR), re-engagement rate

Referral: Turn your superfans into influencers

Question: How can I incentivize my loyal customers to refer their friends?

Referral programs take time to pick up steam. While working with influencers is one way to build awareness and highlight your referral incentives, your current fan base might be more than happy to get the ball rolling. 

Ask your customers to share their experience with family and friends in exchange for perks like:

• Discount codes for new and referring users.
• Commission-based incentives from affiliate links.
• Upgraded service or gifts in exchange for testimonials or reviews.

Potential KPIs: customer referrals, social listening metrics (how many users mention your brand or share your content on social media?)

Revenue: Build a customer loyalty program

Question: How can I increase customer lifetime value?

Loyalty programs tell your fans you see them, hear them, and appreciate their relationship with your brand. The key to a successful loyalty program is getting your customers excited about the incentives.

How you structure your loyalty program will vary based on your industry and the purchasing behavior of your ideal customers. 

Some popular loyalty program frameworks: 

• Punch card loyalty programs: Punch card loyalty programs used to be associated with physical stores, but that’s no longer true. Ecommerce stores can get creative with virtual options.
• Points-based loyalty programs: Points-based loyalty programs assign points to dollars spent. Points can then be exchanged for discounts, cash back, or other perks.
• Tiered loyalty programs: Tiered loyalty programs can be either subscription-based or based on dollars spent. Tiered programs offer extra perks for as long as a user remains in a given tier.

Potential KPIs: customer lifetime value (CLV), monthly/annual recurring revenue (MRR/ARR)

Is your marketing strategy ready for 2024?

If 2023 was any indication of the future, 2024 will be a year of widespread experimentation for marketers.

Plan ahead, and your experiments might uncover new opportunities for you and your team!

Dig deeper: 3 quick SEO wins to kick-start growth next year

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

Microsoft launches Copilot Pro for $20 per month per user

Written on January 16, 2024 at 6:08 am, by admin

Copilot Pro, the most advanced and fastest version of Copilot, has been released today by Microsoft. Copilot, the new name for the new Bing Chat experience, now has a paid version that costs $20 per month per user. This brings “a new premium subscription for individuals that provides a higher tier of service for AI capabilities, brings Copilot AI capabilities to Microsoft 365 Personal and Family subscribers, and new capabilities, such as the ability to create Copilot GPTs,” Microsoft announced.

Features in Copilot Pro. Copilot Pro has these features, that are above and beyond normal Copilot:

• A single AI experience that runs across your devices, understanding your context on the web, on your PC, across your apps and soon on your phone to bring the right skills to you when you need them.
• Access to Copilot in Word, Excel, PowerPoint, Outlook, and OneNote on PC, Mac, and iPad for Microsoft 365 Personal and Family subscribers.
• Priority access to the very latest models, including the new OpenAI’s GPT-4 Turbo. With Copilot Pro you’ll have access to GPT-4 Turbo during peak times for faster performance and, coming soon, the ability to toggle between models to optimize your experience how you choose, Microsoft explained.
• Enhanced AI image creation with Image Creator from Designer (formerly Bing Image Creator) – ensuring it’s faster with 100 boosts per day while bringing you more detailed image quality as well as landscape image format.
• The ability to build your own Copilot GPT – a customized Copilot tailored for a specific topic.

Video overview. Here is a video overview of the new Copilot Pro:

What else is new. Microsoft also announced these general improvements around Copilot:

• Copilot GPTs. Copilot GPTs let you customize the behavior of Microsoft Copilot on a topic that is of particular interest to you.
• Copilot mobile app. The Copilot mobile app is now available for Android and iOS.
• Copilot in the Microsoft 365 mobile app. Copilot is being added to the Microsoft 360 mobile app for Android and iOS for individuals with a Microsoft account.

Why we care. If you love Copilot, aka Bing Chat, and want to get the best out of it, you may want to try Copilot Pro. It will give you the more advanced AI models, priorities your prompts before others and give you more usage than the free version.

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

Lawsuit: Meta placed ads next to content sexualizing minors

Written on January 12, 2024 at 5:56 pm, by admin

Meta has been accused of running corporate ads next to content that sexualizes underage users.

The allegations by Walmart, along with Tinder’s parent company Match Group, have been made public as part of a lawsuit filed by the New Mexico attorney general’s office last month.

Why we care. Placing ads alongside illegal content poses a serious threat to brand safety. The potential fallout not only includes reputational damage but also significantly diminishes the chances of an ad reaching its intended audience, likely causing a significant impact on ROI.

The claim. New Mexico Attorney General, Raúl Torrez, has accused Meta of “enabling adults to find, message and groom minors” for sexual exploitation. He said in a statement:

• “New evidence indicates Meta officials are duping corporate advertisers and permitting sponsored content to appear alongside deeply disturbing images and videos that clearly violate Meta’s promised standards.”
• “Mr Zuckerberg and Meta are refusing to be honest and transparent about what is taking place on Meta’s platforms.”

Match reacts. Match reportedly informed Meta that ads for its dating apps were running adjacent to “disturbing” and “clearly illegal” content, including graphic films of women being murdered, reports the Guardian. When Meta allegedly failed to take action, Match’s CEO, Bernard Kim, wrote a complaint directly to Mark Zuckerberg – but he allegedly did not respond.

Walmart responds. Meta filed a complaint to Meta in October, claiming that the social media giant’s “level of attention/consideration” to brand safety had “disappeared.” Responding to the court filing, a Walmart spokesperson said in a statement:

• “We take brand safety issues extremely seriously, and protecting our customers and communities will always be a top priority.”

What Meta is saying. A spokesperson for Meta told Search Engine Land:

• “We don’t want this kind of content on our platforms and brands don’t want their ads to appear next to it.”
• “We continue to invest aggressively to stop it – and report every quarter on the prevalence of such content, which remains very low.”
• “Our systems are effective at reducing violating content, and we’ve invested billions in safety, security and brand suitability solutions.”

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Deep dive. Read New Mexico’s Department of Justice’s announcement in full for more information.

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

Power up your marketing programs with Google Analytics 4 by Cynthia Ramsaran

Written on January 11, 2024 at 1:54 pm, by admin

Customer expectations are higher than ever. They expect companies to know who they are and what they need. That’s why marketers should have a data strategy that will give them a complete view of their customers – without this view, it will be much harder to personalize your marketing programs.

Join experts from Google and Salesforce for tips on how to make the most of your data with GA4.

Register and attend “Power Up Your Marketing Programs with Google Analytics 4 and Salesforce Marketing Cloud,” presented by Salesforce.

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Click here to view more Search Engine Land webinars.

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

TikTok reports non-skippable video ads may harm engagement

Written on January 11, 2024 at 1:54 pm, by admin

TikTok claims that non-skippable video ads may hinder engagement in a new report.

Consumers are more likely to watch and engage with brand-sponsored videos when they have control over their experience, according to the study.

Why we care. Engaging ads are essential for brand awareness, visibility, and conversions. If non-skippable ads are reducing engagement, it may be more effective to experiment with skippable ads to enhance viewer experience and improve campaign performance.

The stats. The TikTok study, which was conducted in conjunction with MAGNA Media Trials, a global media investment and intelligence company, found that:

• 73% of viewers agree that having the ability to skip videos makes them more engaged in the experience.
• 56% of viewers are more likely to actively watch videos sponsored by a brand when they have the option to skip.

Ad duration. TikTok added that while consumers tend to watch skippable ads for shorter durations, the distinction between the duration of skippable and non-skippable ads doesn’t markedly impact viewership. A separate study conducted by the platform in collaboration with MediaScience revealed that 50% of the impact from a TikTok ad occurs within the initial two seconds. This research also found that the first six seconds of an:

• Captures 90% cumulative impact on Ad Recall.
• Captures 80% cumulative impact on brand awareness.

Ad placement. Ads have a greater impact and are viewed longer when they are placed next to popular, relevant content, regardless of the platform, according to the MAGNA study. For instance, when placed alongside trending content, the same ad becomes more relevant to viewers, enhancing its effectiveness, increasing purchase intent by 9%.

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

• “On TikTok, every view is intentional because users can skip any video they choose, including ads. Forced view also isn’t needed to create meaningful impact.”
• “TikTok’s skippable formats perform on par with video-on-demand forced view formats across key metrics like brand favorability and purchase intent.”

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Deep dive. Read the report in full for more information.

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

GPT-4 vs. Google Cloud: Performance comparison on 9 SEO tasks

Written on January 11, 2024 at 1:54 pm, by admin

OpenAI’s APIs, especially the large language model (LLM) GPT-4 and its chatbot ChatGPT, have gained significant popularity in the past year.

Despite the availability of marketing APIs from long-established providers like Google Cloud, Microsoft Azure, and AWS for over a decade, many search marketers prefer generative AI models for their SEO-related tasks.

This article compares the performance of GPT-4 and Google Cloud’s machine learning APIs on common SEO tasks where automation can be implemented, including semantic analysis, classification, translation, and image understanding.

While there are undoubtedly many other applications of these technologies for SEO and digital marketing, my aim with this analysis is to: 

• Inspire you to think creatively about available machine learning APIs and how you use them daily.
• Help you understand the different areas where ML-based automation can help boost efficiency and improve outcomes for digital marketers.
• Illustrate the importance of choosing your automation allies carefully depending on the task instead of relying on one solution (like ChatGPT) for all your automation tasks.

Methodology

To test the models’ performance, I’ve put them against one another on the same data (i.e., same text, video/audio, or image, depending on the task).

I’ve repeated the process on three different data points for each task to allow me to draw better conclusions for the “Comparative Analysis” below.

Summary

Here’s a table quickly summarizing the performance analysis: 

Legend: 

– Can do it, with limitations
– Can’t do it
– Excels at this task

Let’s dive into each category below.

Understanding text

Named entity recognition (NER) is an area in computer science and natural language processing (NLP) that focuses on detecting and categorizing specific entities within a text, like people’s names, organizations and places. 

The main objective of entity analysis is to efficiently extract these details from unstructured text data (or otherwise – from free-form text).

You can also analyze unstructured text through syntax analysis. This area deals with understanding and analyzing the structure of sentences in a language, assisting machines to extract meaning from text. 

The key aspects of syntax analysis include:

Parsing sentence structure

• Syntax analysis involves breaking down a sentence into constituent elements like nouns, verbs, adjectives, etc., and understanding how these elements form grammatically correct sentences.

Dependency parsing

• Understanding how different words in a sentence depend on each other – identifying main verbs, subjects, objects, etc.

Parts of speech tagging

• This involves identifying parts of speech for each word in a sentence, such as whether a word is a noun, verb, adjective, etc. This is crucial for understanding the role each word plays in a sentence.

Phrase chunking

• This step groups words into phrases that naturally belong together, which is helpful for further syntactic and semantic analysis.

Syntax trees

• Many syntax analysis tools create a tree diagram (syntax tree) to represent the hierarchical structure of a sentence, showing the relationships between different parts of the sentence.

So, what type of projects can these two approaches be used in SEO for?

Entity recognition in SEO 

In SEO, you can use entity recognition in the following projects: 

SERP analysis

• In this case, you can use your keyword universe as a starting point and collect SERP data in bulk via a tool like dataforSEO.
• Using a Sheets template like this one, you can extract entities of titles, URLs, or meta descriptions of top-ranking pages and use the insights from the analysis to inform your topical maps and content direction.

Keyword research

• Begin with your keyword data and validate which keywords include entities.
• Develop content maps based on closely linked entities and create lists of both positive and negative secondary entities for your content writers.
• Additionally, assess which keywords feature entities in the knowledge graph.

Internal linking audits

• Start with your internal linking anchor text data. Validate which anchors include entities and further analyze anchor text for entities, particularly those in the knowledge graph.
• Utilizing your website content (scraped via crawling) in combination with internal links, identify pages mentioning entities and link them together. 

Competitor content analysis

• Extract entities from your competitors’ website content, including text, titles, and meta descriptions. If an entity appears prominently, include it in your content map.
• Analyze how many articles with prominent entities feature them in titles/meta descriptions and what the relationship between this practice and traffic.

Social comments analysis

• Scrape customer-generated comments from platforms like YouTube, TikTok, X and Facebook. Analyze these entities and map the findings against your site content for enhanced insights.
• As an additional step, check the entity sentiment associated to uncover insights into how users feel toward important entities, especially if those relate to the brand or its products or services (e.g., the price). 

Syntax analysis in SEO

In SEO, text analysis methods can be used if you want to: 

Analyze content at scale

• Employ text analysis methods in SEO to comprehensively analyze and understand content from SERPs or competitor websites.

Identify n-grams

• Discover n-grams within titles, meta descriptions, content, and anchor text to gain insights into content composition and relevance.

Determine successful title structures

• Identify effective title structures for your target keywords by analyzing patterns and structures in existing content.

Enhance entity analysis

• Detect the most common words associated with target entities and attributes to enhance content relevance and SEO performance.

Facilitate structured data automation

• Recognize repeated use of specific terms and term combinations to trigger automated structured data JSON completion.
• For instance, if a page frequently mentions “FAQ” or “Frequently asked questions,” initiate FAQPage structured data extraction.
• Similarly, if a page mentions “recipe” more than three times, trigger the completion of Recipe schema, and so on.

Comparative analysis of GPT-4 vs. Google Cloud Natural Language API on entity extraction and text analysis

Grouping text

In the following section, I will review two machine learning approaches for grouping text – clustering and classification. Both are extremely important for SEO analysis and executing different tasks at scale. 

• Clustering is an unsupervised machine learning approach that involves partitioning an unlabeled dataset (splitting into groups of similar data objects). 
• Classification is a supervised machine learning approach that involves sorting data objects into pre-defined categories using the provided labels. 

It’s best to illustrate the difference between the two with a simple example from the SEO industry. Imagine working with a list of pages (a website’s URLs) that you want to label with appropriate category tags based on the pages’ content. In this case: 

• If you have a list of categories (e.g., that your client is sure that the content will align with in one way or another), you can implement a classification machine learning algorithm to parse the content and label it accordingly, based on the provided category list
• Suppose you don’t have a list of categories (e.g., nobody on the team knows what the content is about). In that case, you can implement a clustering machine learning algorithm to parse the content, understand its key terms and provide the most appropriate topic label for it, organizing each content piece into topics and giving an approximation of how closely to this topic each piece is aligned.

Here are some examples of how these approaches can be applied in SEO and why they are important. 

Classification in SEO 

Review the following scenarios and how classification can help improve your SEO strategy completion or speed up some processes.

You have a large website that you want to quickly understand the content of

• Utilize classification to quickly determine the range of topics covered by a site’s content.

You are conducting a content gap analysis or competitor research and trying to categorize multiple competitors’ content

• Use classification to verify if the competitor sites’ content aligns with the desired business direction.

Clustering in SEO

Consider these practical applications of clustering in SEO and how it can enhance your strategy and efficiency:

You are trying to group together keywords in a big Keyword Universe

• Clustering here enables categorizing and understanding various topics within your keyword set.

You are trying to understand a website’s content without having any idea what the content is about

• Topic clusters work on the semantic or keyword extraction method, so some models can help identify prominent topics and cluster content together based on sub-topic similarity. 

Comparative analysis of GPT-4 vs. Google Cloud Natural Language API on clustering and classification

The table below shows the benefits and limitations of using either of the models analyzed.

Image SEO

There are a few tasks in the image category where machine learning algorithms can assist you, like captioning images and image generation. 

Currently, image generation can be done only by OpenAI’s DALL-E model; Google Cloud does not yet have a comparable alternative. 

Image captioning, needless to say, is highly important for SEO for many reasons, including:

• Site accessibility.
• Improved image search rankings and site visibility.
• Better content comprehension of your site by crawlers.  

Comparative analysis of GPT-4V vs. Google Cloud Vision AI on captioning images

The table below compares the captioning capabilities of Google Cloud’s Vision AI and Vertex AI versus the recent introduction of GPT-4 with vision (or GPT-4V) vision capabilities, accessed via ChatGPT. 

The only notable difference that can sway you to use one versus the other would be that you can easily integrate Google Cloud’s Vertex AI algorithm into a project and run it to caption hundreds, if not thousands, of images. 

This can be extremely useful for image captioning for enterprise-level or large websites failing at this accessibility requirement. Despite the many conversions that this capability will soon be introduced with the GPT-4 API endpoint, this has not (yet) come to fruition, though it might soon.

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Content transformation

Content transformation refers to transforming the content to a different format, style, or length. It is important for SEO because of two factors: omnipresence and accessibility.

Omnipresence encapsulates the need for your brand or content to exist in different forms and platforms. This requirement is influenced by: 

• Customers’ desires to be able to consume the content in different formats.
• The ever-changing preferences Google provides in the SERP for different content types. 

It’s important to know that Google won’t automatically treat it as duplicate content if you have the same content in both written (like a blog) and video formats (such as a long YouTube video or in shorter clips on Shorts/TikTok).

In short, the same content in different formats is not considered duplicate, as it benefits both the user (able to consume the content in whatever format they choose) and search engines (able to serve the content in different formats and satisfy the user’s search intent regardless of their preference).

Accessibility means offering diverse ways for people to consume your content, helping you reach a broader and more inclusive audience.

Think of different platforms (YouTube, TikTok, Spotify, Instagram, Pinterest, Medium) and content formats (text, image, video, audio).

Transforming your textual content into audio format, for instance, makes it accessible to people with visual impairments or those who prefer listening over reading.

Text-to-text transformation in SEO 

You can use text-to-text content transformation to improve your organic reach in the following scenarios: 

You have a high-performing blog or resource section but no presence on platforms like LinkedIn, X or Facebook Groups

• In this case, you can benefit from growing an audience and brand reach and potentially improve lead gen.
• To do this, transform the content into the format required to gain maximum visibility (which is different for each site) and start regularly publishing insightful and helpful posts.

Your email newsletters have substantial content but limited engagement

• Repurpose this content into bite-sized, visually appealing posts for social media or as blog posts.
• Use interactive elements to attract more readers and encourage shares, increasing visibility and subscriber numbers.

Your in-depth research or whitepapers are underutilized

• Break down these extensive texts into a series of smaller, digestible articles or blog posts, each focusing on a specific aspect or finding.

You have comprehensive guides or reports in PDF format that are only accessible through gated content

• You can extract key insights, summaries, or actionable tips from these documents and repurpose them into blog posts, LinkedIn articles, or X threads.
• Offer a teaser of the value in the full PDF and drive traffic back to your gated content.

Text-to-audio transformation in SEO 

You can use text-to-audio content transformation to improve your organic reach in cases where:

You have a high-performing blog or resource section but no presence on YouTube

• In this case, you can easily transform the content to audio format,
• Take it a step further and incorporate the audio with visual elements, creating videos for social media like YouTube, or Shorts and TikTok (for short-form content).

You have data to support the hypothesis that your audience prefers audio content over reading

• For instance, people often listen to audio content while driving, exercising, working, or performing other tasks.
• You can increase engagement by converting your blog posts, articles, or newsletters into podcast episodes or audiobooks compared to having only one static format.

Video or audio transcription in SEO

Here is how you can use audio-to-text or video-to-text content transformation to improve your organic reach: 

You have a library of high-performing videos on YouTube but no blog

• In this case you can scale the launch of your blog quickly via audio transcription.

You have a series of successful webinars or online workshops

• Transcribe these sessions and convert them into a multi-part blog series or an ebook.
• This approach gives your content a longer shelf life and reaches an audience that prefers reading over watching videos or attending live events.

You have a running podcast or interview series

• Transcribe these and publish them as text on landing pages on your site, with the appropriate structured data and links to the audio or video resource.
• Incorporate key insights or additional contributions. 

Comparative analysis of GPT-4 vs. Google Cloud on content transformation 

The table below compares three of Google Cloud’s models (depending on the task) versus GPT-4’s model. (You will notice that the latter does not have text-to-audio or video transcription out-of-the-box. However, this can be incorporated with custom agents.)

Content localization

Remember that regardless of the development of machine learning models, translation does not replace localization, at least not yet.

This means that when it comes to SEO or user-facing content, you should use a content localization specialist as your last edit, ideally, also someone who can align the last draft of content with SEO research for that target market. 

That said, automated translation can make a difference for medium and large websites or those working on a bit more constrained budget, as it is much quicker, cheaper, and scalable to implement than traditional translation. 

Content translation in SEO 

When would you require content translation to improve your organic search performance? Consider the following as some potential examples:

You are expanding your business research into international markets

• In this case, translating existing content before handing it off to a localization expert can significantly reduce costs. 

You are trying to attract searches from other locales

• Translating content into the local language can significantly improve visibility in local search results, as search engines prioritize content that matches the user’s language and location. 

You are building a content and keyword strategy for a website in another language

• While not common, this scenario happens in big organizations or agencies, where you’d rely on a translation tool to better understand competitor content, SERP analysis, or keywords from the language you don’t speak. 

Comparative analysis of GPT-4 vs. Google Cloud Translation AI for content translation

The following table summarizes the insights from the analysis conducted by Dmitrii Lukianov.

Key takeaway

Don’t just use a blanket model for all your tasks. You might be missing out on useful tools from Google Cloud because you’re focusing a lot on GPT-4.

I’ve pointed out the various tasks where you can use these APIs and how they can help your strategy, make tasks faster, and improve your organic visibility. Using APIs for specific tasks can also:

• Speed up the process of turning data into insights.
• Improve the quality of your work when dealing with enterprise-level websites.
• Help you evolve in your career and skills as an SEO consultant.

As noted, each model will have benefits and limitations for specific tasks, so it’s important to research what each model you use has been trained for and its ideal use before you start.

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

The list of features being removed from Google Assistant

Written on January 11, 2024 at 1:54 pm, by admin

Google is changing the Google Assistant, removing and changing dozens of features that some of you may have become accustomed to. Google said these changes are aimed to “focus on quality and reliability,” adding it will “ultimately make it easier to use Assistant across devices,” the company wrote.

With these changes, Google also has laid off hundreds of employees who worked on Google Assistant. It makes you wonder if AI will be the future and overtake Google Assistant. Although we know Bard is coming to the Google Assistant.

The changes. Here is a list of changes coming to the Google Assistant starting on January 26:

• Playing and controlling audiobooks on Google Play Books with your voice. You can still cast audiobooks from your mobile device.
• Setting or using media alarms, music alarms, or radio alarms on Google Assistant enabled devices. You can create a custom Routine that has similar behavior or use a standard alarm.
• Accessing or managing your cookbook, transfering recipes from device to device, playing an instructional recipe video, or showing step-by-step recipes. You can use Google Assistant to search for recipes across the web and YouTube.
• Managing a stopwatch on Smart Displays and Speakers. You can still set timers and alarms.
• Using your voice to call a device or broadcast a message to your Google Family Group. You can still broadcast to devices in your home.
• Using your voice to send an email, video or audio message. You can still make calls and send text messages.
• Rescheduling an event in Google Calendar with your voice. You can still schedule a new event.
• Using App Launcher in Google Assistant driving mode on Google Maps to read and send messages, make calls, and control media. You can still use voice control on Google Maps the same way.
• Asking to schedule or hear previously scheduled Family Bell announcements. You can create a custom Routine that has similar behavior.
• Asking to meditate with Calm. You can still ask for meditation options with media providers such as YouTube.
• Voice control for activities will no longer be available on Fitbit Sense and Versa 3 devices. You’ll need to use the buttons on your device to start, stop, pause, and resume activities. You can still voice control activities on Pixel Watches.
• Viewing your sleep summaries will only be available on Google Smart Displays. You can still ask for sleep details by voice on third-party smart clocks.
• Calls made from speakers and Smart Displays will not show up with a caller ID unless you’re using Duo.
• Viewing the ambient “Commute to Work” time estimates on Smart Displays. You can still ask for commute times and get directions by voice.
• Checking personal travel itineraries by voice. You can still ask for flight status.
• Asking for information about your contacts. You can still make calls to your contacts.
• Asking to take certain actions by voice, such as send a payment, make a reservation, or post to social media. You can still ask Assistant to open your installed apps. 

There are also changes coming to the Google App, they include:

• Microphone icon will trigger Google Search results instead of the Assistant
• Saying “Hey Google” or long pressing the home or power button on Android phones or opening the Google Assistant app on iOS will still work
• The microphone button in the Pixel Search bar will activate Google voice search, not the Assistant

Layoffs. With these changes, Google has laid off hundreds of employees working on Google Assistant. Google said it is restricting the company from integrating new AI technologies. The layoffs impact Google employees working in core engineering, devices, and services, those working on Pixel, Fitbit, Nest, and, of course, the Google Assistant.

Why we care. It does seem like this might be a win for core search, but we all know that more AI technologies and features loom in the future. How will those new technologies impact Google Search? Will it be new Google Search Generative Experience or something else.

Hang tight, 2024 will be an interesting year in Search.

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

TikTok quietly introduces hashtag restrictions in Creative Center

Written on January 10, 2024 at 9:53 am, by admin

TikTok marketers can no longer search for specific hashtags within the platform’s Creative Center tools.

Why we care. These restrictions will make it harder for you to explore and gauge the popularity of trends on the platform, which is essential for effective campaign planning.

What’s changed? Links for hashtags related to the Israel-Hamas war and U.S. politics no longer work within Creative Center. TikTok has also removed the search button in Creative Center.

According to TikTok, the tool has shifted its focus towards providing data on the top 100 hashtags within diverse industries, such as pets and travel, instead.

Why now? TikTok has restricted its hashtag search feature due to concerns that the data was being used to uncover potential platform censorship. This decision comes after researchers and lawmakers scrutinized content related to geopolitics and the Israel-Hamas war using the tool’s results.

What is TikTok Creative Center? The Creative Center is a tool designed to assist advertisers in monitoring trend popularity on the site. Accessible to everyone, it provides data on the number of videos associated with a specific hashtag and details about the audience that viewed those videos.

What TikTok is saying. TikTok spokesperson Alex Haurek tolf the New York Times (which is paywalled):

• “Unfortunately, some individuals and organizations have misused the Center’s search function to draw inaccurate conclusions, so we are changing some of the features to ensure it is used for its intended purpose.”

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Deep dive. Read our guide on how the TikTok algorithm works for more information on how to create successful campaigns.

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

Google Ads for lead gen: 9 tips to scale low-spending campaigns

Written on January 10, 2024 at 9:53 am, by admin

Are you ready to turn your low-spending but profitable lead gen search campaigns into sources of significant growth? You might be ready to scale your Google Ads account.

Every new Google Ads account starts from a humble position, but there comes a time when it makes sense to tune up campaigns and generate even more leads.

If you want to ramp things up, this guide will show you:

• What to expect when scaling a Google Ads lead gen account.
• What’s involved and what you have control over.
• How to actually ramp up PPC results.

How to know when you’re ready

When you are ready to scale, there are two ways to approach it:

• Getting more from a single ad platform.
• Expanding to new platforms.

This article will focus on the first, particularly on Google Ads for lead generation.

Scaling a nascent Google Ads account doesn’t simply mean increasing your budget and hoping for a proportional increase in leads. You may encounter new settings and moving pieces, ask clients for added support, and give back as much insight as you take.

Some signs that you might be ready to truly scale include:

• Overly profitable campaigns are a sign that you may not be investing enough.
• Low impression share or click share indicates untapped search volume.
• A high-converting primary offer with other offers you aren’t advertising.

The 9 levers you can pull to scale lead gen PPC

Throwing money at a challenge might work elsewhere, but scaling a Google Ads account takes a bit more care.

Simply dialing up your spend won’t be enough, so consider these nine tactics that can influence growth to varying degrees (both together and on their own).

1. Target new locations

Once you’ve maxed out impression share, one way to expand the scale of your Search program is by looking for additional geographies to target. If yours is a Local campaign, can you expand the location targeting?

When targeting one specific county or mile radius, I’ve sometimes gotten results by targeting different versions of the same area (e.g., county, ZIP codes, radius around a certain location).

They’re all really targeting the same place, but somehow it builds your audience because it captures a bit more people.

That’s my experience – your mileage may vary.

Side note: It may be a good idea to use “Presence” and not “Presence or interest” in the advanced location settings.

Dig deeper: Improve your Google Ads performance: 3 simple setting changes

2. Add new keywords

If you began your Search campaign by targeting a small group of keywords, there’s a good chance you can scale up simply by targeting new queries.

• Are there keywords related to the industry or problem you’re addressing that you have not targeted?
• Are there new things people are searching for?
• Do you have location-based keywords that you can go after, even if it’s just adding location terms to the end of an existing keyword?

These are all ways to open your ads up to people who need what you have but might not have been the recipients of your previous ads.

Outside of keywords, your match type can also open up new opportunities. If you haven’t yet added Broad Match to your campaigns, you can start testing it to open your ads up to a much wider range of traffic.

You can also test new keywords with a Dynamic Search Ads campaign.

3. Optimize your spend

Simply spending more is often a great way to take your early-stage Search campaigns to the next level. This is easier when you aren’t capturing a large percentage of available impressions because the budget increase will find more relevant people to show your ads to. So, you can likely double a $100 budget and get twice as many leads.

However, as you increase your budget, finding new conversions will become more difficult because fewer people are searching for relevant terms. So when you spend thousands and have a healthy impression share, you’ll get fewer conversions as you raise your spend.

Another area to monitor is whether placements are eating up your spend by bringing in junk leads or irrelevant clicks. Opting out of things like Search Partners and the Display network can open up opportunities to spend that money where it’s more likely to return a profit.

Similarly, trying a new campaign with a new goal (such as generating fresh demand) might be a way to find opportunities you didn’t know existed.

4. Build dedicated landing pages

We typically start our campaigns by driving traffic to the homepage of a website. It’s ready, so we see how it goes. If it doesn’t perform as well as we’d like, we build a dedicated landing page.

The objective of a dedicated landing page is to be:

• Relevant.
• Uncluttered.
• Quick to load.
• Clear in copy and call to action.

In general, people typically focus on lowering bounce rate. With lead gen landing pages, you almost want a high bounce rate because the inverse of that is increasing your conversion rate. 

When you create a binary choice for anyone who lands on the page – convert or leave – you’ll get a higher conversion rate.

Do that by being as clear as possible:

• What action should the visitor take?
• Why should they take it?
• Why should they trust you?
• What will happen after they take it?

It can lead to a higher bounce rate, but that’s not necessarily bad. If you get your conversion rate from 5% to 10% and your cost per click goes up by 30%, you still have a cheaper cost per lead than you did before.

It’s a frequently overlooked component of Google Ads – or any digital marketing campaign in general.

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5. Test landing page variations

Landing page optimization is a significant lever that many Google Ads managers don’t touch, and it can often be because they don’t know where to begin. 

Here are some of my landing page best practices:

• Experiment with removing the header/navigation of the website, with a logo going to the homepage but no other links on the page.
• The page should load quickly and be responsive to the device it’s accessed on. Too many landing pages aren’t mobile-friendly when they should be.
• For copy, We’ll pick clear over clever every day of the week. A clear headline should state in very plain language what you do and match both your ad copy and keywords.
• Your form should be prominent, easy to fill, not too complicated, and have only as many fields as necessary.
• For call-based conversions, a click-to-call button with a clear CTA is a must. Don’t forget to track this.
• Make sure you display credibility above the fold. Customer reviews, links to review sites, and media or industry accreditations let others vouch for you and build trust with visitors.
• Include content below the fold so that as people scroll, they can learn more about the business, what you do, your solution and its benefits. Intersperse that with CTAs between sections.

6. Test form variations

If your lead collection method is form-based, the structure and content of your forms become critical to how well they convert.

A basic form contains three to four fields, such as:

• Full name (or split into first and last names).
• Email.
• Phone number.

You may also want to include qualifiers. For B2B brands, here are examples of information we like to ask for:

• Company name: Anybody who doesn’t have a company will leave your page and disqualify themselves naturally.
• Location: For businesses with limited service areas, we include a geography drop-down or zip code field (for U.S. campaigns).
• Start date: If what you’re selling has a longer or limited timeline, you can ask people to specify when they want the job done.

You can also ask for information that helps qualify leads based on whether they meet certain criteria, such as their budget or industry. You can even write underneath the CTA button that you only take on customers who meet certain conditions.

The idea is to make sure that only right-fit prospects fill out your forms, reducing your junk leads and improving your qualification rate. This gives you a better idea of your addressable market instead of seeing inflated lead volume, making for better forecasts.

Another trick that often helps get the conversion is to place an icon of a lock and say that their data is 100% secure and won’t be shared. This handles another concern or objection up front and builds confidence.

7. Qualify your leads

We like to connect lead gen accounts with their CRM data whenever possible so we can focus on generating leads that drive business outcomes.

Let’s say you have a client that sells a specific item built to measure. Your form will ask for the usual contact information and qualifiers, but you can also let them input those dimensions or measurements.

What you want to look for is which leads come in with measurements and which leads don’t have them, and generally, the former will be of much higher quality. If someone takes the time to perform an action outside the form to fill it out, it indicates they really want what you’re selling.

Those leads can be marked appropriately and sent back to Google through offline conversion imports, allowing the system to pursue more users like them. Not only that, but your sales team will know which leads to go after first, making this a holistic improvement to your ability to close more deals faster.

8. Set up Enhanced Conversions

You should set up Enhanced Conversions if you can. Their primary use is to let Google track users even when ecosystems like Apple’s and other devices make that harder. As we move towards a cookie-less future, this allows Google to track what its pixels cannot.

This requires you to provide Google with personal data, such as emails and phone numbers, so their system can match it up with an account they know clicked on the ad. Doing this captures an additional 10% of user information, making it an extra signal that’s good to have.

But it will probably be considerably more important in the future, so get a headstart if you can!

9. Layer in Performance Max

After expanding each of the other strategies, and it seems that you’re tapped out and really can’t get anything else out of them, I would then consider layering in Performance Max if (and only if) you have some kind of offline conversion tracking. Otherwise, you’re going to get a ton of spam.

There are two ways of adding Performance Max to lead gen campaigns:

• Continue with Target CPA and send your qualified leads back to Google from your CRM data using offline conversion imports. That can sometimes be a stronger signal than a lead that becomes a sale. If you collect 100 leads from Google and 30 of them are later marked as qualified in your CRM, use that as a conversion action and set the campaign to specifically target those types of conversions.
• Bid to a Target ROAS if you’re able to send your revenue data back into Google Ads.

Without the ability to implement offline conversions, I recommend avoiding Performance Max for lead gen because you will spend time and money with little return to show for it.

Scaling lead gen on Google Ads

PPC fell into a years-long trap where the industry believed it could operate independently of other marketing and business functions. And for a long time, that was because Google made it possible to do so.

But all things are cyclical, and PPC is once again taking its rightful place in a broader marketing strategy.

As you grow your spend and results on Google Ads, remember that many other moving pieces influence the customer experience. Before and after the click, you have design, web development, discoverability, UX, and sales follow-up elements.

Scaling accounts doesn’t happen overnight, and it certainly doesn’t happen effortlessly. But there is a tremendous reward for those who can see the big picture and show persistence.

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