Tag: Amazon

  • Building Long-Term Trust: Insights from TruSkin’s Leadership

    Building Long-Term Trust: Insights from TruSkin’s Leadership

    Today, I had the pleasure of speaking with the leadership team at TruSkin, the creators of Amazon’s #1 rated Vitamin C serum. In collaboration with First Page Sage, they’ve thrived by teaching consumers that true skincare success comes from dedication and expert advice. Together, we explored how both brands gain consumer trust by emphasizing that the best outcomes are cumulative, not immediate.

    First Page Sage: Your Vitamin C serum tops the charts on Amazon. How do you ensure customer fidelity for a product with gradual results?

    TruSkin: Openness and education are crucial. Effective skincare is a commitment over weeks, not overnight. While our serum offers immediate brightening, the deeper effects like smoother skin take time. We provide upfront guidance through educational content, detailing how vitamin C functions, setting realistic timelines, and promoting our gentle, science-backed formulations for sustainable results. Just like First Page Sage, we thrive on honesty about the process, using SEO strategies that rely on consistent, strategic efforts rather than quick fixes.

    First Page Sage: What tactics do you employ to keep customers committed to achieving more profound results?

    TruSkin: We emphasize ingredient transparency, dermatologist verification, and social proof. Customers can see exactly what’s in our products and why it matters for their skin. Our third-party testing adds credibility, and with over 150,000 reviews, our product’s effectiveness is well supported. Furthermore, subscription models encourage users to remain steadfast in their routines to fully unlock the benefits. This approach mirrors how First Page Sage uses transparency, case studies, and tracking, allowing organic visibility and results to flourish over time.

    First Page Sage: What common misconceptions do consumers have about vitamin C serums and anti-aging products?

    TruSkin: Many believe higher vitamin C percentages assure better results, which is not true. The focus should be on stability, pH balance, and skin compatibility. Our Sodium Ascorbyl Phosphate formula provides stability and less irritation than standard L-Ascorbic Acid, allowing consistent use without discomfort. It’s consistency that brings results, not just potency. Similarly, First Page Sage finds that strategic, high-quality SEO outperforms mere content volume or keyword stuffing.

    First Page Sage: In an industry full of promises for instant results, how do you differentiate while promoting patience?

    TruSkin: Quick fixes usually involve harsh chemicals damaging the skin over time. Our focus is on long-term skin health through pH-balanced and skin-compatible formulas. We educate our audience about the superiority of our SAP vitamin C form and avoid misleading ‘percentage races,’ favoring nourishing and clinically effective ingredients that deliver real results. This resonates particularly with Millennials and Gen Xers who value wellness and sustainable results over quick fixes.

    First Page Sage: What advice would you give to brands selling products or services that require time to see results?

    TruSkin: Establish credibility and maintain transparent communication throughout the customer’s journey. Utilize third-party endorsements, and provide educational content to explain the importance of the process, celebrating milestones along the way. For skincare, this could mean showcasing early improvements like increased glow or hydration. Above all, be truthful. Reliable brands don’t overpromise but ensure consistent, science-backed outcomes with clear communication.

    Source


    Inspired by this post on First Page Sage Blog.


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  • Unlock E-commerce Success: Master Google Shopping & Amazon Ads

    Unlock E-commerce Success: Master Google Shopping & Amazon Ads

    As I delve into the world of e-commerce, I’m constantly amazed by how paid search can transform business growth. Platforms like Google Shopping and Amazon Ads are game-changers, offering high conversion rates and efficient spending when campaigns are crafted thoughtfully.

    These platforms are adept at capturing high-intent demand, providing the crucial data to expand my campaigns. They connect search queries directly to revenue streams, letting me pinpoint which terms are boosting sales so I can allocate my budget wisely.

    However, the true test lies in organizing campaigns to effectively leverage this data.

    Why does paid search excel in e-commerce? It’s all about intent and data. Google and Amazon thrive on search-driven environments. When someone seeks a product, they’re clearly expressing their needs. I don’t need to make inferences; I’m delivering precisely what customers want.

    Moreover, Google Shopping and Amazon Ads offer unparalleled keyword-level revenue data. This insight helps me understand conversion rates and costs better. Amazon, in particular, shines with its granular product and category level revenue visibility.

    Together, this data forms a powerful feedback loop. By analyzing which terms tie back to revenue, I can strategically shift my spending and enhance my return on ad spend (ROAS) over time. On Amazon, higher conversion rates even boost organic rankings, reducing future acquisition costs.

    My success in search campaigns hinges on creating multi-funnel structures. While the concept remains consistent, execution varies based on campaign types, settings, and bidding strategies.

    I implement campaign architectures that utilize wide-net, low-cost discovery initiatives to explore the search landscape. High-intent converters funnel into dedicated performance campaigns with strategic bidding. This approach not only strengthens ROAS but also enhances rankings and fosters scalable growth.

    Dive deeper: Ecommerce PPC: 4 takeaways that shape how campaigns perform

    ```json
{
  "alt": "The CapmatchOne logo with a gradient circle and bold text.",
  "caption": "Discover innovation with the CapmatchOne logo, featuring sleek typography and a modern gradient circle.",
  "description": "The CapmatchOne logo features bold, modern typography coupled with a gradient circle, symbolizing connection and innovation. The sleek design conveys a sense of progress and creativity. This image can be used for branding or promotional purposes, appealing to audiences interested in innovative solutions and forward-thinking designs."
}
```

    Embarking on Google Shopping, the priority sculpting method, inspired by Martin Roettgerding, is invaluable. Utilizing a three-layer campaign structure, I route keywords into distinct campaigns based on their performance.

    This strategy optimizes spending on discovery keywords and directs investment toward high-performing, high-intent terms. The Google Shopping priority settings are pivotal; high-priority campaigns initially serve at lower bids.

    Layer 1 focuses on capturing branded search traffic through a Performance Max campaign, maintaining an assetless format to focus on shopping inventory and avoid bleeding into other channels.

    Layer 2, the catch-all, casts a wide net, experimenting with search terms to gather conversion data, while Layer 3 dedicates budget to best-performing terms, aligning with high-ROAS strategies.

    Amazon’s multi-tier campaign structure offers its own set of advantages, like higher conversion rates and the intricate connection between ad spend and organic rankings. Campaigns are organized at the SKU level, employing research, ranking, and performance tiers.

    Each tier serves a unique purpose, managed by differing advertising cost of sales (ACOS) targets, tailored for profitability. The research tier explores broad keyword possibilities, performance tiers maximize returns on proven converters, and ranking tiers drive organic positions aggressively.

    Both Google Shopping and Amazon Ads offer unique opportunities in the e-commerce landscape. Whether aiming for short-term gains on Amazon or long-term brand building via Google, using these platforms synergistically can propel a business to new heights.


    Inspired by this post on Search Engine Land.


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  • Discover Where ChatGPT Sends Its Millions of Shoppers

    Discover Where ChatGPT Sends Its Millions of Shoppers

    As I dove into the fascinating world of ChatGPT-driven shopping, I discovered that Walmart and Target are key players. In fact, Walmart often tops the charts when it comes to rank-1 buy links. Meanwhile, Target excels in overall presence, offering a variety of options that captivate users.

    What surprised me the most is the dynamic nature of the recommendation system. The carousel reshuffles with every request, ensuring that the shopping experience remains fresh and personalized. This shuffling uncovers intriguing patterns in user behavior, drawing insights from the staggering 22.5 million shopping offers analyzed.


    Inspired by this post on Try Profound Blog.


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  • Unlocking ChatGPT’s Shopping Trigger Secrets

    Unlocking ChatGPT’s Shopping Trigger Secrets

    I recently embarked on a fascinating journey to explore how ChatGPT’s Shopping feature is activated. It’s intriguing how product categories seem to play a more significant role compared to purchase intent language.

    In my analysis of 1.18 million prompts, supported by a detailed review of 7,500 labeled examples, I discovered a notable pattern. Prompts that specifically mention shippable consumer goods are highly likely to trigger Shopping cards. However, prompts about software, services, travel, and financial products almost never have the same effect.

    I noticed that adding specific constraints, like price, features, or intended use, boosted the chances of the Shopping trigger, though only within the confines of product categories.

    The process boils down to a straightforward rule: if the primary noun in your prompt is something you could easily buy on Amazon, there’s a good chance the Shopping feature will appear. Using this logic, I developed a classifier that can replicate ChatGPT’s Shopping behavior with an impressive accuracy of around 95–97%.


    Inspired by this post on Try Profound Blog.


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  • AI Citations: No Single Source Dominates for Brands

    AI Citations: No Single Source Dominates for Brands

    Over the past several months, I’ve delved into the fascinating world of AI citation data. What I’ve discovered is intriguing: there isn’t a single, top source that every brand can rely on. Instead, it varies substantially depending on the platform, industry, and the intent behind the data.

    Every so often, I encounter studies claiming platforms like Reddit or Wikipedia are the ultimate sources for AI citations. Marketers and clients often get swayed by such bold claims, quickly drafting new strategies based on them. But are they truly applicable to every scenario?

    The truth is, these analyses can often oversimplify complex data—ignoring the nuances of intent, platform disparity, or industry context. This could lead brands into investing efforts into strategies that don’t align with their specific market or customer journey.

    During our research at Tinuiti, where I serve as the senior director of AI SEO innovation, we embarked on an in-depth exploration of trends. We examined high commercial-intent prompts across nine different verticals on major AI platforms over four months, wrapping up in January 2026.

    ```json
{
  "alt": "Bar chart displaying Reddit share of AI citations by category for 2025 and 2026, with categories like Apparel and Electronics.",
  "caption": "Explore how Reddit discussions around AI are shifting across various sectors from Apparel to Technology between 2025 and 2026.",
  "description": "This bar chart illustrates the share of AI citations on Reddit by category for two periods: 10/1/25 and 1/1/26. Categories such as Apparel, Beauty, Electronics, and others are represented. The chart highlights shifts in discussion prominence, with Apparel leading in 2026 at 10%. The data is sourced from Profound, 2026, offering insights into evolving sector interests in AI discussion on Reddit."
}
```

    The standout insight was clear: there’s no single top source for all. Patterns varied greatly based on the specifics of intent, the platform in use, and the total category involved.

    Reddit’s Growth: A Closer Look

    Take Reddit, for example. Throughout our tracked period, Reddit saw a 73% increase in citations from October 2025 to January 2026. In some industries, this growth was even more pronounced.

    ```json
{
  "alt": "The CapmatchOne logo with a gradient circle and bold text.",
  "caption": "Discover innovation with the CapmatchOne logo, featuring sleek typography and a modern gradient circle.",
  "description": "The CapmatchOne logo features bold, modern typography coupled with a gradient circle, symbolizing connection and innovation. The sleek design conveys a sense of progress and creativity. This image can be used for branding or promotional purposes, appealing to audiences interested in innovative solutions and forward-thinking designs."
}
```

    Yet, when examining platforms like ChatGPT, we noticed the citations pointed toward unique discussion threads rather than general subreddit pages or branded content. This observation means that merely having a Reddit presence may not be enough.

    The real value lies in authentic, insightful discussions within a brand’s category. Brands should focus on fostering genuine community engagement and building strong reputations by participating meaningfully in conversations where their presence can truly make a difference.

    Interestingly, the influence of Reddit on citation shares varied drastically. For instance, sectors like apparel saw 10% of the citations, whereas transportation noted just 2%.

    ```json
{
  "alt": "Bar chart showing social media citations by platform for Google AI services in January 2026.",
  "caption": "In January 2026, Reddit leads in social media citations for Google AI services, with a notable contribution from YouTube.",
  "description": "This bar chart illustrates the share of social media citations by platform for Google AI services in January 2026. Platforms include Facebook, LinkedIn, Medium, Quora, Reddit, and YouTube. The chart distinguishes between three Google services: Google AI Mode, Google AI Overviews, and Google Gemini. Reddit shows the highest citation rate at 44% for Google AI Mode, followed by YouTube with 29%. This data provides insight into the social media influence of Google's AI technologies across different platforms."
}
```

    It’s also worth pointing out the impact of platform specificity. Reddit’s citation share on ChatGPT remained above 5% by January; however, on Google Gemini, it was as low as 0.1%. Thus, the platform a brand’s audience tends to use plays a crucial role in AI visibility strategies.

    Google’s AI Variances and Implications

    Among Google’s AI platforms, there are significant variances in how citations from social media sources get distributed. Reddit citations varied starkly across Google’s AI products — illustrating distinct differences in source preferences.

    ```json
{
  "alt": "Line graph showing the share of ChatGPT citations for top ecommerce sites from October 2025 to January 2026. Walmart leads, followed by eBay, Amazon, Etsy, and Target.",
  "caption": "Walmart surges ahead in ChatGPT citations, leading the pack of top ecommerce sites. From October 2025 to January 2026, eBay and Amazon also show notable presence.",
  "description": "This line graph illustrates the share of ChatGPT citations for major ecommerce sites: Amazon, Walmart, eBay, Etsy, and Target, from October 1, 2025, to January 1, 2026. Walmart shows a significant upward trend, reaching 0.9% by January 2026. eBay maintains a steady 0.5%, while Amazon slightly improves to 0.3%. Etsy and Target trail with 0.1% each. Data sourced from Profound, 2026. Keywords: ChatGPT, ecommerce, citations, trend analysis."
}
```

    Different platforms such as Medium, YouTube, and LinkedIn showed notable splits in their social citation shares across Google’s AI surfaces. This diversity necessitates a careful evaluation of source relevance and citation volume for brands looking to optimize their AI strategies.

    Amazon’s Strategic Choices Affect Competition

    Interestingly, Amazon’s approach towards AI search led to a notable shift. While initially strong on ChatGPT, Amazon’s citations dipped after it began blocking AI crawlers aggressively, opening space for competitors like Walmart to gain ground.

    ```json
{
  "alt": "Line graph showing Google AI Overviews citations for Amazon, Walmart, eBay, Etsy, and Target from October 2025 to January 2026.",
  "caption": "Amazon's AI citations soar in late 2025 while other eCommerce giants like Walmart, eBay, Etsy, and Target maintain a steady trend below 0.2%.",
  "description": "This line graph illustrates the share of Google AI Overviews citations for major e-commerce platforms: Amazon, Walmart, eBay, Etsy, and Target, from October 2025 to January 2026. Amazon's citations show a significant increase peaking at 3.3% in December 2025, while the other platforms, Walmart, eBay, Etsy, and Target, consistently stay below 0.2%. The data is sourced from Profound, 2026. Keywords: Google AI, e-commerce, citations, Amazon, Walmart, eBay, Etsy, Target."
}
```

    This strategic decision reflects Amazon’s focus on control over direct customer interactions, exemplifying how tactical choices in crawler access can dramatically alter a brand’s competitive dynamics in AI citations.

    Ultimately, understanding your industry and category is key to crafting effective and meaningful AI visibility strategies. It’s about leveraging unique insights, driving authentic engagement, and evaluating platforms critically, rather than just following trendy data insights.

    If you’re intrigued by our findings, you can explore them further in the full Tinuiti’s Q1 2026 AI Citation Trends Report (registration required), developed with Profound.


    Inspired by this post on Search Engine Land.


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  • Court Blocks Perplexity’s AI Bot from Amazon Access

    Court Blocks Perplexity’s AI Bot from Amazon Access

    I’ve just learned that Perplexity AI’s Comet browser agent can no longer make purchases on Amazon. This decision comes after a federal judge ruled in Amazon’s favor, expressing concerns about AI shopping bots.

    Why this matters to us. The ruling challenges AI’s ability to simplify tasks, such as online shopping, by acting on our behalf. If similar restrictions are enacted, AI agents might face significant hurdles when trying to access logged-in areas of popular platforms.

    The situation as it unfolded. U.S. District Judge Maxine Chesney in San Francisco issued a preliminary injunction, favoring Amazon’s position.

    • Perplexity is now prohibited from using Comet to enter password-protected sections of Amazon, like those reserved for Prime members.
    • Judge Chesney noted Amazon’s “strong evidence” indicating Comet’s access was granted by users but not authorized by Amazon itself.
    • The court order also mandates that Perplexity must eliminate all Amazon data it has gathered.

    Getting up to speed. Back in November, Amazon filed a lawsuit against Perplexity, accusing it of computer fraud and unauthorized platform access. Allegedly, Comet completed purchases on user accounts without properly identifying itself as a bot.

    Next steps. There’s a one-week suspension on the order, giving Perplexity the chance to appeal.

    What Amazon says. According to Lara Hendrickson, an Amazon spokesperson, this injunction is crucial for stopping Perplexity’s unauthorized Amazon access and is a vital move towards maintaining trust for customers.


    Inspired by this post on Search Engine Land.


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  • Google Ad Clicks Surge to Five-Year Peak with Q4 Spending Boom

    Google Ad Clicks Surge to Five-Year Peak with Q4 Spending Boom

    During the final quarter of 2025, I noticed a remarkable 13% rise in spending on Google search ads compared to the previous year, as reported by Tinuiti’s latest benchmark. It was eye-opening to see this surge in click growth, marking the strongest pace since early 2021, particularly as average CPCs slightly declined for the second quarter in a row. The expansion of AI-driven results seemed to be increasing the overall query volume, including those crucial commercial searches.

    Why we care. As I’ve observed, Google search ad clicks are skyrocketing while CPCs stay flat. This trend is largely due to Amazon’s strategic withdrawal from U.S. Google Shopping auctions, which has opened the door for advertisers to find both opportunities and challenges as spending patterns shift between search and shopping.

    ```json
{
  "alt": "Line graph showing Google US Paid Search Y/Y Growth from Q4 2024 to Q4 2025, highlighting trends in spend, clicks, and CPC.",
  "caption": "Exploring year-over-year growth in Google US Paid Search, this graph illustrates trends in spending, clicks, and cost-per-click from late 2024 through 2025.",
  "description": "This line graph depicts the year-over-year growth for Google US Paid Search from Q4 2024 to Q4 2025. It shows three lines representing different metrics: Spend (orange), Clicks (blue), and Cost-Per-Click (CPC, purple). The graph highlights the trends, with spend and clicks rising towards the end of 2025, while CPC decreases. The data is sourced from anonymized Tinuiti advertiser data, 2025, providing insights into digital advertising performance over the observed period."
}
```

    Additionally, AI-driven query growth is broadening the search funnel, offering more chances to connect with customers earlier in their buying process.

    ```json
{
  "alt": "Line graph showing year-over-year growth in Google US Shopping Ads from Q4 2024 to Q4 2025, depicting trends in spend, clicks, and CPC.",
  "caption": "This line graph illustrates the year-over-year growth of Google US Shopping Ads from late 2024 to 2025, highlighting fluctuations in ad spend, clicks, and CPC over the quarters.",
  "description": "The image features a line graph representing the year-over-year growth of Google US Shopping Ads, focusing on Performance Max and Standard Shopping Campaigns from Q4 2024 to Q4 2025. The graph includes three lines: orange for spend, blue for clicks, and purple for cost-per-click (CPC). Notable trends include an increase in spend and clicks with CPC showing varied performance. This analysis provides insights into advertising dynamics over the specified period."
}
```

    Shopping ad trends: During the holiday season, I followed how Google Shopping ad expenditure jumped 16% year over year, propelled by Target and Walmart stepping up while Amazon’s absence left a noticeable gap in auctions. Meanwhile, Shein and Temu maintained smaller roles. Interestingly, CPCs for Shopping Ads weakened slightly, falling 1% year over year.

    ```json
{
  "alt": "Bar chart showing Google Performance Max share for spend and sales across five quarters from Q4 2024 to Q4 2025.",
  "caption": "Tracking the shifts in Google Performance Max shares across spend and sales from late 2024 to 2025 reveals dynamic retail strategies.",
  "description": "This bar chart illustrates the Google Performance Max share of Google Shopping for median retailers with both PMax and Standard Shopping Campaigns. Data spans from Q4 2024 to Q4 2025, covering five quarters. The chart indicates a progressive change in the share percentage; for example, Q4 2024 shows a 69% share in spend, decreasing slightly in subsequent quarters. The sales shares display similar trends, signifying strategic adjustments. This visual is useful for understanding advertising trends over time."
}
```

    Performance Max. PMax campaigns captured my attention as they represented 62% of total Google Shopping spend and 61% of sales, which, although slightly down from the last year, showed an increase from earlier in 2025. Non-shopping inventory, such as video and display, accounted for 39% of PMax spending, with YouTube video making up 13% of impressions beyond search.

    ```json
{
  "alt": "Line graph showing Google Performance Max share of spend by ad type from Q4 2023 to Q4 2025 for Video and Non-Shopping Search and Display.",
  "caption": "Trends in Google ad spending reveal a rise in Non-Shopping Search and Display ads, peaking at 32% by Q4 2025, while Video ads maintain a consistent 7%.",
  "description": "This line graph depicts the Google Performance Max share of spend by ad type from Q4 2023 to Q4 2025. The orange line represents Non-Shopping Search and Display, which shows a significant increase, reaching 32% by Q4 2025. The blue line indicates Video ads, maintaining a steady trajectory around 7%. The data source is anonymized Tinuiti advertiser data from 2025. This graph highlights key trends in digital marketing investment, showcasing the growing importance of search and display strategies."
}
```

    Text ads. It’s exciting to note that Google text ad clicks reached a 19-quarter high, climbing 9% year over year. Spending was up by 11%, with CPC growth remaining modest at 2%. Brand keyword CPC growth saw a slowdown to just 2% year over year, with declining CTRs counterbalanced by strong impression growth, likely driven by AI-driven overviews in search results.

    ```json
{
  "alt": "Line graph of Microsoft US Paid Search Y/Y Growth in 2025 showing trends for Spend, Clicks, and CPC.",
  "caption": "Microsoft's US Paid Search sees dynamic changes in Spend, Clicks, and CPC throughout 2025, reflecting adaptive marketing strategies.",
  "description": "This line graph illustrates the year-over-year growth trends in Microsoft's US Paid Search for 2025. The data tracks Spend, Clicks, and CPC over four quarters. The graph shows a prominent rise in Spend by Q1, peaking in Q2, with a slight decline towards Q3, and stabilization in Q4. Clicks show gradual growth while CPC experiences fluctuation but ends higher. The graph's source is anonymized Tinuiti advertiser data."
}
```

    Microsoft search growth. Microsoft appeared to outpace Google in paid search spend growth, with a 16% year-over-year jump in Q4, rising from 12% in Q3. Click growth slowed slightly to 10%, while CPCs increased by 5%, as Amazon kept its presence in Microsoft Shopping listings.

    ```json
{
  "alt": "Line graph showing Amazon US Google Shopping Ads impression share from 2020 to 2025.",
  "caption": "Tracking Amazon's competitive edge, this graph reveals fluctuating Google Shopping Ads impression shares from 2020 to 2025.",
  "description": "This line graph illustrates the Amazon US Google Shopping Ads impression share for the years 2020 through 2025, with each year represented by a distinct colored line. The timeline spans from January to December 2025, indicating fluctuating market presence. The data is derived from anonymized Tinuiti advertiser data, showcasing trends in Amazon's advertising reach and competitive positioning in the US Google Shopping landscape."
}
```

    Amazon advertising. I observed that Sponsored Products clicks on Amazon rose by 23% year over year, showcasing an intriguing pattern despite a 1% drop in average CPCs. Sponsored Brands experienced modest spend growth (+2%) but with declining clicks, whereas Sponsored Display spending fell 47%. Meanwhile, Amazon DSP spending rose 31% year over year, propelled by offsite inventory and premium placements like Prime Video ads.

    ```json
{
  "alt": "Bar chart of Q4 2025 YouTube Ads showing 13% growth in spend, 38% growth in impressions, and 18% decline in CPM.",
  "caption": "In Q4 2025, YouTube ad impressions rose by 38%, while ad spend increased by 13%, but CPM saw an 18% decline. Explore the shifts in advertising dynamics.",
  "description": "This image presents a bar chart depicting the year-over-year growth metrics for YouTube Ads in Q4 2025. Data sourced from anonymized Tinuiti advertiser statistics indicates a 13% increase in ad spend and a 38% increase in impressions. Contrastingly, CPM has decreased by 18%. The visualization employs pink bars to represent growth percentages, serving as an insightful snapshot of advertising trends."
}
```

    Walmart trends. Sponsored Products were a dominant force in Walmart’s search ad spend, accounting for 89% with conversions remaining high through the holiday season. Display ad spending grew to 35% of the total, with 60% geared toward offsite inventory targeting.

    Video and streaming ads. I found it fascinating that YouTube ad spending increased by 13% year over year, coupled with a sharp 38% rise in impressions and an 18% drop in CPMs. Video now commands 66% of Google Demand Gen spending. Across traditional streaming platforms, Prime Video ad spending surged 31% from Q3 to Q4, overtaking Netflix in CPMs, while TV screens dominated spending, with phones crucial for direct-response formats.

    The bottom line. Google’s search and shopping landscapes continue to thrive, driven by AI-enhanced query growth and evolving retailer participation, presenting both opportunities and challenges. Meanwhile, Microsoft and Amazon are advancing their ad offerings, providing me with diverse options to engage high-intent audiences across search, display, and streaming.

    Dig Deeper. Digital Ads Benchmark Report Q4 2025


    Inspired by this post on Search Engine Land.


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  • Master Ecommerce PPC: Boost Campaign Performance

    Master Ecommerce PPC: Boost Campaign Performance

    I’ve delved deep into four key areas that shape how ecommerce PPC campaigns perform: mastering the essentials of Performance Max, leveraging Amazon’s conversion power, building social audiences, and crafting insightful dashboards.

    PPC in ecommerce differs vastly from PPC for lead generation or SaaS. The mechanics of campaigns, the conversion data volume, and each platform’s unique role demand a specialized approach.

    Entering the ecommerce realm helped me identify which fundamentals truly matter. Let’s look at how the core differences between ecommerce and non-ecommerce models influence PPC strategy and how to play to each platform’s strengths.

    1. Performance Max is Built for Ecommerce

    Google Ads is essential for ecommerce, primarily because of Performance Max campaigns, or PMax. It’s tailored for ecommerce, where data flows from high sales volumes and lower ticket sizes, allowing rapid learning and improvement.

    To maximize PMax’s potential, optimizing your feed, segmenting your campaigns, and ensuring conversion tracking are crucial steps.

    ```json
{
  "alt": "Interface showing Google Ads labels with 'Source Market' and 'Custom labels'.",
  "caption": "A glimpse into organizing data with Google Ads labels—where Source Market and Custom labels streamline categorization.",
  "description": "The image displays the 'Labels' section of Google's interface, featuring 'Source Market' with a label 'au' and 'Custom label 1' marked 'stranded'. Other custom labels are yet to be filled, providing a flexible setup for organizing and filtering data within Google Ads. These labels assist in categorizing and managing marketing campaigns more effectively."
}
```

    Feed Optimization

    Optimizing your feed can dramatically enhance PMax performance. Ensure your product titles and descriptions are well-structured, utilize character limits, and incorporate keywords effectively.

    Campaign Segmentation

    By categorizing your feeds effectively, you can segment campaigns for better results. Utilize default and custom labels in Google Merchant Center to achieve precise targeting and higher ROAS.

    Conversion Tracking

    Accurate conversion tracking is critical. Integrating with tools like Shopify to sync data with Google Ads enables automated bidding strategies and campaign experiments for enhanced ROI.

    2. Amazon Excels in Ecommerce Advertising

    Amazon is an advertising powerhouse for ecommerce, offering transparency and deeper insights through its platform, which results in higher conversion rates compared to competitors.

    ```json
{
  "alt": "A table displaying search query data with metrics like volume, impressions, and clicks.",
  "caption": "Dive into detailed search query metrics—explore volume, impressions, click through rates, and brand shares to fine-tune your strategy.",
  "description": "The image presents a detailed table of search query analytics divided into columns such as Search Query Score, Volume, and two funnels: Impressions and Clicks. Each funnel includes Total Count, Brand Count, and Brand Share with respective numerical values. This visualization offers insights into online search performances, crucial for data-driven marketing strategies, and highlights metrics like click-through rates. Ideal for SEO analysis and performance optimization."
}
```

    Transparency

    Amazon provides detailed reporting, enabling clear insights into conversion performance at both the keyword and market level, setting it apart from platforms like Google and Meta.

    Higher Conversion Rates

    Amazon’s unified platform leads to seamless transactions, resulting in higher average conversion rates and more reliable attribution data, minimizing guesswork.

    Rankings Philosophy

    Amazon’s approach to linking ads and organic rankings provides clarity and allows advertisers to precisely strategize on improving offers and performance based on conversion metrics.

    3. Social Media: Not the Conversion Leader

    While social platforms are crucial for brand awareness and audience building, they typically aren’t optimal for direct conversions, making them secondary to platforms like Amazon Ads and PMax.

    ```json
{
  "alt": "Table showing search funnel data for cart adds and purchases including total count, rates, brand counts, shares, and shipping speed.",
  "caption": "Unveiling e-commerce insights: A table showcasing the search funnel metrics from cart adds to purchases, revealing customer behavior patterns and brand impact.",
  "description": "This image displays a detailed table of e-commerce search funnel data, illustrating metrics from cart adds to purchases. Columns include Total Count, Cart Add Rate, Brand Count, Brand Share, and Same Day Shipping Speed for both stages. This data helps in understanding user interaction and conversion through the sales funnel, highlighting conversion rates and brand influence in online shopping. Keywords: e-commerce, customer behavior, sales funnel, conversion rates, brand impact."
}
```

    Building Customer Lists

    Using social channels to host giveaways can substantially grow your customer lists, which are invaluable for targeted marketing efforts such as promotions and cross-selling.

    Awareness

    Utilize social media to build brand visibility with cost-effective campaigns, focusing on awareness over immediate sales for new-to-market products.

    Remarketing

    Social media excels in creating remarketing funnels that engage customers more deeply, enhancing overall campaign effectiveness.

    4. Dashboarding for Clarity and Success

    Effective dashboarding is vital for maintaining clarity across multiple platforms. A good dashboard distills complex data into actionable insights, critical for profitability and strategy alignment.

    With tools like Sellerboard, you can connect revenue and costs down to the SKU, providing clarity and revealing which platforms and strategies are truly driving success.

    Guide to Next Steps in Ecommerce PPC

    Recognizing the nuances of ecommerce PPC is crucial for making informed decisions that result in campaign success. These insights continue to guide my strategy and I hope they do the same for you.


    Inspired by this post on Search Engine Land.


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