Category: PPC

  • Text Ads Soar as Organic Search Declines: Key Study Insights

    Text Ads Soar as Organic Search Declines: Key Study Insights

    I’ve recently come across an interesting study highlighting a significant shift in search click dynamics. It turns out that text ad clicks have dramatically increased year over year, while the traditional organic clicks in major verticals have taken a sharp decline.

    This transformation isn’t solely due to AI Overviews for sure. Google’s expansion of paid search real estate is playing a pivotal role here. In the U.S., data reveals a steep drop in classic organic click share across product categories like headphones, jeans, greeting cards, and online games between January 2025 and January 2026.

    The numbers are quite telling. Classic organic click share fell significantly across these categories, making way for text ads, which emerged as the biggest beneficiaries, gaining a notable share of clicks.

    Why does this shift matter to us? As digital marketers, it’s no longer just AI-powered features that we’re contending with. Text ads have won substantial ground, capturing about one-third of the clicks in several product categories. For brands seeing a dip in organic visibility, increasing paid efforts seems to be a necessary strategy.

    Numbers tell the story. When diving into four main verticals, text ads showed consistent click-share increases. Classic organic lost between 11 to 23 percentage points, while text ads gained anywhere from 7 to 13 percentage points across the board. Paid click share has doubled in several key product categories.

    Comprehensive breakdown: Classic organic click shares have seen a year-over-year decline across all verticals. For instance, headphones lost dramatically, shrinking from 73% to 50%, and even organic-heavy areas like online games dropped by double digits. Such declines emphasize the urgent need for many brands to reassess their search strategies.

    Data shows that text ads inched forward share-wise in every industry examined. For instance:

    • Headphones: Rose from 3% to 16%
    • Online games: Up from 3% to 13%
    • Jeans: Climbed from 7% to 16%
    • Greeting cards: Up from 9% to 16%

    Moreover, Product Listing Ads (PLAs) are further supporting this change in product sectors:

    • Headphones: Increased from 16% to 36%
    • Jeans: Went from 18% to 34%
    • Greeting Cards: Rose from 10% to 19%

    AI Overviews have seen a diverse impact. While the presence of Google AI Overviews on SERPs has certainly increased, the extent varies significantly across sectors:

    • Headphones: 2.28% → 32.76%
    • Online games: 0.38% → 29.80%
    • Greeting cards: 0.94% → 21.97%
    • Jeans: 2.28% → 12.06%

    Zero-click searches remain significant but stable. Even though the overall zero-click rates haven’t seen dramatic changes, online games have witnessed a noticeable uptick:

    • Headphones: 63% (unchanged)
    • Jeans: Down from 65% to 61%
    • Online games: Up from 43% to 50%
    • Greeting cards: Increased from 51% to 53%

    Brands adapt by increasing paid presence. In the headphones market, for example, companies like Amazon boosted paid clicks by 35% despite losing organic traffic, while Walmart increased theirs nearly sixfold.

    In the jeans sector, Gap saw a 137% growth in paid clicks, rising to become the leading paid player.

    For online games, CrazyGames quadrupled its paid clicks, and Arkadium entered the paid scene after a significant drop in organic clicks.

    These shifts have led to a self-reinforcing cycle, as pointed out by Aleyda Solis, the study’s author. Organic share declines, competition increases, and brands continuously boost their paid-search budgets.

    Study insights. This study was conducted using Similarweb data, thoroughly examining the SERP composition and click patterns for the top 5,000 U.S. queries in the areas of headphones, jeans, and online games, alongside the top 956 greeting card-related queries. Over time, it has highlighted a marked shift in click distribution among classic organic results, text ads, PLAs, zero-click searches, and AI Overviews.

    If you’re curious about deeper insights, you can check out the full study by Aleyda Solis.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Discover Where Your Google Ads PMax Campaigns Appear

    Discover Where Your Google Ads PMax Campaigns Appear

    I’ve just discovered an incredibly beneficial update from Google Ads that I’m excited to share. Now, we can see precisely where our Performance Max campaigns are running through the “Where ads showed” report. This change opens up a new world of clarity and optimization possibilities that were previously inaccessible.

    What’s New? This update allows me to see exactly where my PMax ads are appearing across Google’s network, including search partners, display, and other placements. By tracking impressions by placement type and network, I can now understand the detailed performance of my campaigns like never before.

    Why It Matters to Me This is a game-changer for anyone managing PMax campaigns. It brings much-needed visibility into where ads are appearing, including Google Search Partners and beyond. With access to placement, type, and impression data, I can optimize budgets and make informed decisions rather than relying on guesswork. It transforms previously opaque reporting into actionable insights.

    User Reaction Digital marketer Thomas Eccel shared his experience on LinkedIn, expressing that the report was once a blank page but now displays real data.

    ```json
{
  "alt": "Google Ads dashboard displaying Performance Max ad placements, network types, and impressions with annotations.",
  "caption": "Dive into your ad performance with this detailed Google Ads dashboard, showcasing where Performance Max ads are placed, viewed, and their impact.",
  "description": "This image shows a Google Ads dashboard focused on Performance Max campaigns, highlighting data on ad placement, network types, and impressions. The screenshot includes annotations pointing to 'Placement', 'Network', 'Type', and 'Impressions'. This visualization aids advertisers in tracking and optimizing their ad strategies by providing valuable insights into ad performance metrics."
}
```
    • “I finally see where and how PMax is being displayed,” he wrote, highlighting the significance of this update for clarity.
    • He also noted how Google Search Partners are now no longer a “blurry grey zone.”

    The Bottom Line For me, and many other marketers, this update offers actionable visibility into PMax campaigns, helping us understand placement performance, optimize spend, and pinpoint which networks are yielding results — all within one comprehensive report.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Boost Engagement with Multi-Image Shopping Ads on Microsoft

    Boost Engagement with Multi-Image Shopping Ads on Microsoft

    I’ve discovered that Microsoft Advertising is rolling out a captivating new feature that could transform how we see Shopping campaigns in Bing search results. These multi-image ads offer eCommerce brands a unique opportunity to showcase their products more vividly, potentially capturing shopper attention even before they click.

    What’s new. Now, I can include multiple product images in a single Shopping ad, allowing shoppers to preview various angles, styles, or variations directly within the search results. This approach could be a game-changer for advertisers.

    The design is crafted to enhance visual engagement and provide more informative ads. It allows consumers like myself to quickly compare options without the need to leave the results page.

    How it works:

    • I can upload additional images using the optional additional_image_link attribute in the product feed.
    • There is an option to include up to 10 images, which I can separate by commas.
    • The images will appear alongside pricing and retailer information in Shopping results.
    ```json
{
  "alt": "Online shopping results for Reebok Nano X5 Edge sneakers showing various styles and prices.",
  "caption": "Explore a range of Reebok Nano X5 Edge sneakers in different colors, available from multiple retailers at competitive prices.",
  "description": "The image displays online shopping results for Reebok Nano X5 Edge sneakers via a search engine. It showcases multiple sneaker styles, including white, grey, and black versions, with prices ranging from $184.91 to $220.00. Retailers like The Iconic and Amazon AU are highlighted, offering these products with different features, such as free shipping. Keywords: Reebok, Nano X5 Edge, sneakers, online shopping, footwear."
}
```

    Why we care. From my perspective, multi-image ads have the potential to boost engagement and purchase intent by offering a more comprehensive visual representation of a product. More imagery can highlight features, colors, and design elements that a single image might miss.

    Discovery. This feature was initially noticed by digital marketer Arpan Banerjee, who shared it on LinkedIn.

    The bottom line. For retailers like you and me, multi-image Shopping ads provide more creative freedom and give shoppers a richer context immediately. This shift has the potential to enhance ad performance and reshape how products are presented in search results.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Exciting New Results Tab in Google Ads: See Real Performance Impact

    Exciting New Results Tab in Google Ads: See Real Performance Impact

    I’ve recently discovered that Google Ads has introduced an impressive new Results tab within their Recommendations section. It’s designed to help advertisers like you and me see the actual performance impact of applied suggestions, especially when it comes to bid and budget adjustments.

    After applying any bid or budget recommendation, Google analyzes the campaign’s performance one week later. It then compares the results against a baseline estimate, showing us the incremental lift such as additional conversions from raising a budget or tweaking targets. It’s a fantastic update for those of us wanting concrete data on recommendation outcomes.

    Wondering where to find this information? You can spot the impact reporting right in your account’s Recommendations area. There’s a handy summary callout with recent results on the main page, plus a dedicated Results tab providing a detailed breakdown categorized by Budget and Target recommendations, with helpful filters.

    Why is this an important update? As an advertiser, I’m thrilled because this lets us see whether Google’s automated recommendations truly deliver incremental results, not just predicted boosts. This is crucial for assessing the real business value of these platform suggestions.

    But what should we expect going forward? The Results tab reports a seven-day rolling average, measured over 28 days following a recommendation. It zeroes in on the campaign’s primary bidding objective, be it conversions, conversion value, or clicks.

    ```json
{
  "alt": "Google Ads Recommendations Results tab information explaining performance impact report.",
  "caption": "Discover how Google Ads' Recommendations Results tab can enhance your campaign by analyzing post-apply impact reports, offering insights into budget and performance metrics.",
  "description": "This image contains information about the Results tab in Google Ads Recommendations. It explains how the tab helps analyze campaign performance after applying recommendations like budget adjustments. The text details where to find results, the report's impact timeline, and metrics such as conversions and clicks. The article provides guidance on understanding the value of Google's growth-oriented recommendations. Keywords: Google Ads, Recommendations, campaign performance, budget, conversions, metrics."
}
```

    This feature introduces an added layer of accountability to automated recommendations, especially as we’re relying more on platform-driven optimizations. I find it reassuring to know there’s now more transparency.

    Interestingly, this was first shared by Hana Kobzová, founder of PPCNewsFeed, who took to LinkedIn with a screenshot of the help doc.

    Although there isn’t a live help doc yet, a Google spokesperson mentioned they’re running an early pilot. It’s exciting to be on the cutting edge of these developments!


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Perplexity’s Bold Move: Choosing Trust Over Advertising

    Perplexity’s Bold Move: Choosing Trust Over Advertising

    Recently, I learned that Perplexity has decided to halt its advertising initiatives. The company started experimenting with sponsored placements back in 2024, but now they’re stepping back, believing these ads might jeopardize the trust that users place in their AI answer engine.

    I read the Financial Times report stating that Perplexity phased out the ads and currently has no intention of reintroducing them. It’s an intriguing approach considering the rapid evolution of AI search companies.

    As someone who utilizes AI-driven platforms, I find it important to monitor these changes. If Perplexity stays ad-free, brands miss out on direct paid access to a growing audience. Imagine how brands must navigate a landscape with 780 million monthly queries without the option for sponsored placements.

    Perplexity was pioneering in testing ads, placing sponsored answers beneath chatbot responses. They claimed these ads were clearly labeled, ensuring they didn’t affect the quality of information. Yet, it’s evident that perception is as crucial as policy for them.

    From my perspective, the notion that users might doubt the integrity of responses if ads appear is understandable. One of Perplexity’s executives mentioned that maintaining users’ belief in receiving the best possible answer is paramount.

    It’s worth mentioning that while Perplexity opts out of ads, other platforms are diving in. For instance, OpenAI is testing ads in ChatGPT for free users, and Google is running ads in AI Mode within Search, although not in Gemini. Meanwhile, Anthropic is committed to keeping Claude ad-free, which reflects different strategic approaches in the industry.

    Sustainability in business is key, and Perplexity sees subscriptions as its core model. They offer both free and paid plans ranging from $20 to $200 monthly, boasting over 100 million users and approximately $200 million in annual revenue. This model reflects their focus on accuracy and providing the truth, minimizing conflict of interest.

    Despite launching shopping features, Perplexity doesn’t take a transaction cut, aligning with their cautious stance on revenue models that might undermine trust.

    For more detailed insights, one could explore the full report from the Financial Times, though it’s a subscription-based service.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unlocking Ad Success: Meta Integrates Manus AI into Ads Manager

    Unlocking Ad Success: Meta Integrates Manus AI into Ads Manager

    Inside Meta’s AI-driven advertising system: How Andromeda and GEM work together

    I’ve just learned that Meta has begun embedding Manus AI directly into Ads Manager, a move that drastically simplifies the way we handle reporting, research, and campaign optimization.

    What’s happening: If you’re like me, you might have noticed prompts encouraging us to activate Manus AI within Ads Manager. Exciting, right?

    Manus is available for everyone through the Tools menu, and some of us are also seeing pop-ups suggesting we try it as we work.

    This rollout suggests even more integration in the future.

    What is Manus: Manus AI acts like a supercharged assistant within our ad workflow, capable of handling tasks such as report creation and audience research.

    Why it matters: By placing AI-driven automation tools directly in our hands, Manus AI speeds up key processes such as report building and audience analysis, making our campaigns more efficient.

    Meta is keen on linking its AI investments to better ad performance, offering us the chance to tweak workflows for maximum gains.

    The bigger picture: Meta feels the heat to showcase tangible benefits from its AI investments. By weaving Manus AI into our daily tools, it’s easier to see how AI can boost performance.

    Looking ahead: This move is in line with Mark Zuckerberg’s vision to integrate AI throughout Meta’s products. By promoting Manus as an ad performance booster, Meta aims to enhance ad results and strengthen its financial narrative.

    The takeaway: For us advertisers, Manus offers another layer of automation to explore. Early adopters might find significant time and efficiency savings as Meta ramps up its AI capabilities.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unlock Ad Success: Connect External Data with Google Ads

    Unlock Ad Success: Connect External Data with Google Ads

    I’ve recently discovered an exciting development in Google Ads that’s set to revolutionize how we track and measure our advertising success. The platform is now testing a beta feature that allows us to link external data sources directly into the conversion action settings. This move aims to strengthen the bridge between our first-party data and campaign measurement.

    How does this work, you might ask? In the conversion action details, a new section titled “Get deeper insights about your customers’ behavior to improve measurement” encourages us to connect our external databases to our Google tag, offering a seamless integration experience.

    This integration supports platforms like BigQuery and MySQL, with the primary goal of enriching our conversion metrics and enhancing performance signals. Notably, this feature is highlighted within the data attribution settings and is gradually being rolled out in its Beta phase.

    Why do we care? The ability to directly integrate these data sources reduces the hassle of syncing offline or backend data with ad measurements. This beta feature from Google Ads simplifies connecting first-party data to conversion tracking, improving our measurement accuracy and campaign optimization.

    ```json
{
  "alt": "Screenshot of a Google Ads interface showing data-driven attribution and enhanced conversions.",
  "caption": "Unlock deeper customer insights with enhanced Google Ads metrics. Connect data sources like BigQuery for improved measurement.",
  "description": "This image displays a screenshot of the Google Ads interface, highlighting data-driven attribution recommendations and information on enhanced conversions managed through Google Tag. It features a prompt to connect data sources such as BigQuery or MySQL to improve conversion metrics, campaign performance, and measurement signals, with an interactive button to 'Connect a data source'. Relevant keywords include Google Ads, data-driven attribution, enhanced conversions, and BigQuery."
}
```

    By harnessing the power of platforms like BigQuery or MySQL, we’re able to incorporate richer customer data into our signals, crucially offsetting any data loss resulting from recent privacy changes. In practical terms, this means smarter bidding, clearer attribution, and the potential for a stronger ROI.

    Beneath the surface, embedding these data connections directly within conversion settings—rather than relying on separate pipelines—democratizes advanced measurement tactics, making them accessible not only to large enterprises but to advertisers like you and me.

    As ad platforms compete for superior measurement accuracy, these native data integrations are emerging as a pivotal advantage, particularly for brands heavily investing in proprietary customer data.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Transforming Client Pressure into Growth: Insights from Andrea Cruz

    Transforming Client Pressure into Growth: Insights from Andrea Cruz

    On episode 341 of PPC Live The Podcast, I had the pleasure of chatting with Andrea Cruz, Head of B2B at Tinuiti. We delved into a challenge that many senior marketers face: the struggle of providing immediate answers when clients press for details without prior notice.

    We explored how missteps in communication can amplify client stress, and how adopting a proactive mindset can turn these challenges into pivotal moments of growth in one’s career.

    As Cruz progressed from a hands-on marketer to leading entire teams, she encountered the challenge of advocating for projects she wasn’t directly managing daily. This shift brought new struggles, especially when clients questioned campaign performance or outcomes.

    In those moments, freezing or delaying responses can damage trust. Cruz realized that senior leaders must offer clear direction, even without knowing every detail, to maintain confidence in discussions.

    Through her experiences and mentorship, Cruz honed a technique for buying time without losing trust: asking thoughtful questions. This strategy not only buys time but also ensures that the responses are precise and address the core of the client’s concerns.

    Her method includes asking clients to clarify expectations, requesting additional context, and confirming their understanding. This approach is crucial, especially in emotionally charged situations, and, for Cruz, it allowed her to manage complex conversations effectively despite being a non-native English speaker.

    At Tinuiti, the focus is on a solutions-driven culture over assigning blame. By addressing ‘Where are we now?’ and ‘How do we get where we want to be?’, teams foster a safe space to discuss errors and learn from them. Cruz believes that leaders should set the standard by openly sharing their own mistakes.

    Cruz advocates for proactive communication, urging teams to address issues before clients notice. Tailoring communication styles to client preferences fosters stronger relationships and transforms agencies into strategic partners.

    Common mistakes in B2B advertising include spreading budgets too thin and underfunding campaigns. Cruz emphasizes that it’s better to focus on fewer channels with adequate resources to avoid ineffective outcomes.

    Regarding AI, Cruz warns against limiting its use to basic tasks and shares how her team is leveraging AI for advanced operations, enhancing strategic execution.

    Cruz’s message is clear: growth requires preparation and a willingness to adapt. By anticipating client needs and embracing experimentation, marketers can turn pressure into golden opportunities.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unlock New Customers with Google’s ROAS-Based Ad Tool

    Unlock New Customers with Google’s ROAS-Based Ad Tool

    I’ve just discovered an exciting development in the Google Ads world that’s sure to interest any advertiser looking to optimize their campaigns. Google Ads is experimenting with a new ROAS-based tool that automatically suggests conversion values, aiming to enhance how we bid for new customers without the need for manual estimates.

    For those like me who are focused on campaigns that target new customer acquisition, this update is a game changer. It empowers us to bid more assertively to capture those elusive first-time buyers.

    How it works. I enter my desired ROAS target for new customers, and Google Ads does the rest. It proposes a conversion value that aligns with the goal I’ve set, removing much of the guesswork that previously complicated bidding strategies.

    Currently, this feature doesn’t customize at the auction, campaign, or product levels. Instead, we apply values at a broader setting; this means the system doesn’t yet allow variable bids based on different contexts.

    Why we care. This new tool addresses a significant shortfall in performance bidding—assigning the correct value to new customers. Many of us have relied on flat manual values, which don’t always reflect true profitability or align with our long-term goals.

    By linking conversion values to a target ROAS, the door is opened to more strategy-driven bidding, potentially enhancing our balance between growth and efficiency in acquisition campaigns.

    ```json
{
  "alt": "Screen with conversion value calculator for new customers showing target ROAS adjustment, current and suggested values.",
  "caption": "Optimize your marketing strategy by adjusting the conversion value for new customers. Discover how a higher ROAS can enhance campaign outcomes and customer acquisition.",
  "description": "This image displays a screen for calculating conversion value for new customers, emphasizing the selection of target ROAS (Return on Advertising Spend). The current value is DKK25.00, with a suggested increment to DKK217.40. A slider allows adjustment between 123% and 673%, currently set at 502%. Options to cancel or apply the changes suggest integration into broader marketing strategies, encouraging more effective budget allocation."
}
```

    What advertisers are saying. Initial feedback suggests this feature is a notable improvement over the static manual inputs we’ve been using. Andrew Lolk, Founder of Savvy Revenue, believes the next step could be auction-level intelligence that dynamically adjusts values based on campaign or product performance.

    What to watch. If Google decides to expand this feature to support more granular adjustments, it could significantly reshape how we plan our acquisition strategies and value long-term customer growth.

    For now, the tool provides a more structured approach to calculating the value of new customers.

    First seen. This update was first spotted by Andrew Lolk, who shared the insight on LinkedIn.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot