CrushPress.AI

Tag: Advertising

  • Discover the New Era of Google Display Ads in Demand Gen Campaigns

    Discover the New Era of Google Display Ads in Demand Gen Campaigns

    I’ve recently discovered that Google is reshaping our approach to Display Ads by integrating them into Demand Gen campaigns, providing us with wider reach and innovative AI-driven features.

    What’s happening? Now, I can effortlessly manage my placements on the Google Display Network (GDN) through Demand Gen campaigns. Interestingly, I still have the option to keep my ads running exclusively on GDN if that’s more suitable for my needs.

    Through Demand Gen campaigns, I’m able to extend my ad reach across YouTube, Discover, Gmail, Maps, and a vast array of Display Network sites, all within a more centralized system.

    Why do I care? This strategic shift by Google is crucial because it centralizes more inventory, harnesses automation, and leverages AI for enhanced campaign optimization. It’s become an essential factor for my performance and discovery ad strategies.

    As a Display advertiser, these adjustments mean I gain access to advanced AI features, greater cross-platform reach, and potentially increased efficiency. I see this as a shift towards less reliance on traditional standalone Display management over time.

    The bigger picture. Google is steering Demand Gen to be the go-to campaign type for visual discovery advertising, merging creative social-style distribution with its powerful AI targeting capabilities.

    Google claims an average ROI increase of 9.5% for those who’ve added GDN inventory to their Demand Gen campaigns, and I’m intrigued by the potential benefits.

    Between the lines. These changes provide me with access to the latest Demand Gen features announced at Google Marketing Live, including enhanced channel controls and forward-looking AI campaign tools.

    What to watch. With Google’s ongoing journey towards consolidating campaign management under AI-led products, I find myself reevaluating my strategies for upper-funnel discovery, Display, and performance-centric media purchasing.

    Inspired by this post on Search Engine Land.

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  • Mastering Multi-Channel Marketing: Stop Juggling, Start Thriving

    Mastering Multi-Channel Marketing: Stop Juggling, Start Thriving

    Every Monday, I dive into my role as a paid media manager knowing the chaos that awaits. From Google Ads to TikTok and Reddit, my task is to pull the data from each platform, put it into a comprehensible spreadsheet, and report to my boss by 10 a.m. Amidst all this, I try to decipher what worked last week and why. It’s a frenetic start to the week, to say the least.

    Remembering when managing multi-channel campaigns meant juggling just Google Ads and a Facebook campaign feels almost nostalgic now. Today, it’s a tangled web of 12 channels, each with their peculiarities in terms of attribution logic and campaign structures. The disarray is real and mostly ignored, to the detriment of performance marketers like me.

    I realize that this Monday morning ritual is less about campaign management and more about tedious chores like data entry and reformatting. Managing campaigns across numerous networks involves reopening platforms repeatedly just to align disparate data points.

    ```json { "alt": "A woman in an office surrounded by four computer screens showing marketing analytics.", "caption": "Navigating the complexities of digital marketing metrics, a woman finds herself amid a sea of analytics data.", "description": "In an office setting, a woman sits at a desk surrounded by four large monitors displaying various marketing analytics figures. The screens show data such as ROAS, CPA, CTR, and CPL, highlighting campaign performances. Her expression suggests concentration or concern as she navigates complex digital marketing metrics. This image captures the intensity and focus required in data analysis and decision-making in a modern business environment." } ```

    The prevailing problem isn’t just the time I lose, but the lag it introduces to my operations. When my performance data is scattered across various platforms, delays in identifying key insights can lead to wasted budgets. The inconsistency in strategies across channels further exacerbates the issue.

    I’ve come to understand that relying on native dashboards from Google, Meta, and others won’t rescue us from this inefficiency. These platforms prefer keeping us tethered to their interfaces, contributing to the fragmentation. But a paradigm shift is on the horizon: AI-native management tools that promise seamless cross-platform synchronization without the need for multiple dashboards.

    The change is happening right now, reimagining how campaigns are managed with AI. It means planning campaigns with simple briefs and automatically syncing creative adjustments across all channels. This reorientation is not just an incremental improvement but a transformational leap that alleviates the operational burdens we’ve carried for too long.

    ```json { "alt": "Woman in office using a large monitor displaying an analytics dashboard with performance metrics.", "caption": "In a sleek, modern office space, a woman engages with a dynamic analytics dashboard, tracking performance metrics on her wide display.", "description": "A woman in a contemporary office setting is focused on an ultra-wide monitor displaying a detailed performance analytics dashboard. The screen showcases key metrics such as ROAS, CPA, conversions, and reach, alongside a visual funnel diagram, under a 'Unified Portfolio Dashboard' by adplus. Her workspace includes a keyboard, notebook, and a coffee mug, suggesting a productive environment. This image embodies themes of data analysis, modern technology, and professional settings." } ```

    For agencies like mine, AI brings another boon: automated and branded client reports that compile multi-network performance data without the Sunday-night grind.

    What actions can we take this week? First, I’ll track where my hours truly go throughout a week — seeing is believing when it comes to confronting administrative bloat. Second, standardizing naming conventions across accounts is surprisingly effective in smoothing out cross-platform wrinkles. Third, I’ll delve into evaluating current AI-native tools, as I suspect many teams are operating on outdated assumptions about their capabilities.

    Achieving an operational edge in paid media transcends budget size. It’s about faster data-action cycles, unified cross-network performance views, and liberating our teams from the laborious chains of manual processing. This operational edge could mean the difference between thriving and merely surviving in a competitive landscape.

    Inspired by this post on Search Engine Land.

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  • Revamped Google Asset Studio Now Boosted by Gemini AI Tools

    Revamped Google Asset Studio Now Boosted by Gemini AI Tools

    Today, I’m excited to share that Google is making significant enhancements to Asset Studio, aimed at helping advertisers like us generate creative assets more efficiently by leveraging the power of Gemini. This was announced at Google Marketing Live 2026.

    Driving the news. Asset Studio will now feature AI-driven creation capabilities across text, images, and videos, allowing us to use natural language prompts to guide the process.

    Google assures us that the platform is capable of understanding:

    • Marketing briefs
    • Brand guidelines
    • Website content
    • Campaign goals

    By doing so, it generates creative assets that span different themes and formats, tailored to our needs.

    Additionally, Google is integrating the Gemini Omni, their multimodal model, into Asset Studio. This enhances our workflows, especially in video creation.

    With 1-Click Creative Testing, we can quickly identify top-performing assets in terms of campaign objectives. This means more efficient testing and better results for us.

    How it works. By applying Gemini models, Asset Studio interprets our marketing briefs, guidelines, and objectives. Using natural language prompts, we can generate and perfect our assets, whether they’re text, image, or video. Plus, Gemini Omni ensures our video workflows are seamless.

    The aim is clear: centralize creative production and minimize the challenges we face when building campaigns across platforms like Google and YouTube.

    Why we care. Creative production bottlenecks are a major issue for us advertisers. Google’s updates show that integrating generative AI into our workflows makes creative production much more streamlined.

    For those of us managing cross-platform campaigns, the ability to swiftly generate and test creative assets is a game-changer.

    What to watch. As we automate more of our creative processes, it’s important to compare the performance of AI-generated assets against those from traditional workflows. We might need to rethink approval processes and brand safety in light of AI’s growing role.

    Availability. We can expect the new Asset Studio features to become globally available in English this summer, opening up new possibilities for our advertising strategies.

    Dig deeper. There are more updates from Google Marketing Live 2026 that are worth exploring for additional insights and tools that could benefit our campaigns. For example:

    Inspired by this post on Search Engine Land.

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  • Rising Google Ads Costs in 2025: Boosting Conversion Success

    Rising Google Ads Costs in 2025: Boosting Conversion Success

    In 2025, I’ve noticed that while the costs of Google Ads continue to climb, there’s been a silver lining. Advertisers like myself have been improving conversion efficiency, which means growth is still within reach.

    PPC reporting concept

    I’ve observed that although we’re paying more per click, the data from WordStream by LocaliQ shows we’re getting better at converting those clicks. The benchmark report, analyzing over 16,000 campaigns, highlights an increase in average CPC to $5.42, up from $4.66 last year, with 87% of industries seeing a rise.

    Despite this jump in CPC, the average conversion rate has improved to 8.18%. This indicates we’re becoming more efficient, even as traffic costs rise.

    Why advertisers should care. The benchmarks clearly point out that inexpensive traffic is fading fast. For us advertisers, this means absolute reliance on volume is not sustainable anymore.

    To maintain profitability, I’ve realized that focusing on stronger targeting, creative enhancements, better landing pages, and smarter automation is vital.

    The report suggests advertisers who adapt well to automation and intent-driven targeting are improving conversion efficiency, despite the rising costs.

    By the numbers. Here’s what stands out:

    $5.26 — Average Google Ads CPC in 2025, increased from $4.66 in 2024.

    87% — Percentage of industries experiencing CPC hikes annually.

    ```json { "alt": "2026 Search Advertising Benchmarks with click-through rate, cost per click, conversion rate, and cost per lead averages.", "caption": "Explore the 2026 search advertising benchmarks, highlighting click-through rate, cost per click, conversions, and lead costs for better ad strategies.", "description": "This image shows the 2026 Search Advertising Benchmarks by WordStream, detailing overall averages for performance metrics. It includes a 6.64% click-through rate, a cost per click of $5.42, an 8.18% conversion rate, and a $66.69 cost per lead. These metrics provide valuable insights for optimizing advertising strategies in the digital marketing landscape." } ```

    7.52% — Across-the-board average conversion rate in 2025.

    $70.11 — Average cost per lead in Google Ads, 2025.

    Highest CPCs. Industries like Attorneys & Legal Services led with $8.58, while areas like Finance & Insurance, and Home Improvement consistently hovered in the $7+ range.

    Lowest CPCs. The Arts & Entertainment and Travel & Hospitality sectors fell in the $2–$3 range, benefitting from reduced competition.

    Highest conversion rates (strong intent / local services)

    Automotive Repair led with 14.67%, followed by other high-intent services like home services ranging from 12–14%.

    Lowest conversion rates (complex or high-consideration journeys)

    Finance & Insurance was at the bottom with 2.55%, and B2B, legal, and high-ticket items were between 3–5%.

    ```json { "alt": "Bar chart showing average Google Ads cost per lead from 2021 to 2026 with varying percentage changes.", "caption": "Explore the journey of Google Ads cost per lead from 2021 to 2026. Notice the fluctuations and trends analyzed by WordStream.", "description": "This image is a bar chart illustrating the average Google Ads cost per lead over the years 2021 to 2026. Starting at $41.40 in 2021, costs rise to $70.11 in 2025 before slightly decreasing to $66.69 in 2026. Percentage changes per year indicate shifts in advertising benchmarks. The chart is presented with purple bars, each annotated with the year, specific cost, and percentage change. Created by WordStream for search advertising benchmarks in 2026." } ```

    The cost-per-lead is stabilizing, thankfully. Although the average CPL rose modestly by 5.13% to $70.11 in 2025, it’s a relief after years of sharper increases. Legal services remain costly, while auto repair is more cost-effective.

    Automation is changing performance benchmarks. I’ve seen how Google Ads has embraced AI-driven optimization. As conversion rates rise, smarter bidding systems and improved intent matching are effectively connecting advertisers with high-quality users.

    While automation like Smart Bidding and Performance Max is shaping campaigns, I know that not every account is thriving. Some have zero conversions, and failure to optimize or poorly set up tracking continues to waste spend.

    Interestingly, accounts using negative keywords experience conversion rates up to three times higher, underscoring how foundational practices are essential even in an AI era.

    Between the lines. The benchmarks present a mixed message. Costs are rising, yet Google’s automation aids efficiency for those optimizing their campaigns effectively.

    The biggest challenge now isn’t finding cheap clicks—it’s enhancing conversion quality and maximizing value from expensive traffic.

    Bottom line. Google Ads is more costly than ever, but by embracing automation, focusing on conversion quality, and improving account efficiency, growth is still possible.

    Inspired by this post on Search Engine Land.

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  • Streamline Google Ads with Tag Manager Controls Built-In

    Streamline Google Ads with Tag Manager Controls Built-In

    Have you ever wished for a simpler way to manage your Google Ads tags? Well, it seems Google might just be offering a solution soon. They’re pulling the Google Tag Manager interface directly into Google Ads, which could make tracking and tag management far easier.

    What’s happening. Recently, in Google Ads, I noticed a new “Manage” option within the Data Manager section. This feature opens Tag Manager controls without the need to leave the platform.

    The update came to light thanks to Marthijn Hoiting and Adriaan Dekker. They shared screenshots revealing elements of Tag Manager seamlessly embedded within the Google Ads interface.

    Why this matters. If you’ve ever grappled with tag setup and troubleshooting, you know how it often involves juggling multiple tools and navigating technical handoffs.

    With Tag Manager now integrated into Google Ads, the process could become less complicated, especially for smaller teams or advertisers without dedicated developers at their side.

    Zoom in. When exploring inside the Data Manager interface, you will find connected data sources, including Tag Manager, which allows you to handle management actions right within Google Ads.

    ```json { "alt": "Google Ads data manager interface with options for data sources and tags.", "caption": "Explore the comprehensive Google Ads data manager, where you can oversee data sources and manage connected products effortlessly.", "description": "The image shows the Google Ads data manager interface, featuring menu options like Planning, Campaigns, and Tools. The main section highlights data sources and Google Tag Manager, allowing users to manage products efficiently. The interface provides a user-friendly environment for organizing ad-related data, with options for viewing in list or map formats. Ideal for marketers and analysts to streamline their advertising processes." } ```

    This suggests a move by Google towards a more unified measurement workflow, streamlining tagging, data connections, and campaign setup.

    Between the lines. This change aligns with Google’s broader objective of simplifying measurement and enhancing data accuracy, a goal that has become critical amidst privacy transformations and signal loss.

    It’s also part of Google’s effort to make tagging more accessible without requiring extensive technical setups.

    What to watch:

    • Will the full Tag Manager functionality be fully embedded or remain partial?
    • How will this update impact workflows between marketers and developers?
    • Will this new method become the standard for managing tags among advertisers?

    Bottom line. Google is subtly narrowing the gap between campaign setup and measurement, positioning tagging closer to the actual management of ads.

    First seen. This interesting development was initially reported by Adrian Dekker on LinkedIn, crediting Marthijn Hoiting, a Data and Analytics specialist, for the discovery.

    Inspired by this post on Search Engine Land.

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  • Unlock More with Microsoft’s Customizable Conversion Metrics

    Unlock More with Microsoft’s Customizable Conversion Metrics

    As someone exploring the ins and outs of Microsoft Advertising, I’ve discovered an update that’s sure to enhance our campaign analysis. Microsoft is now allowing us to customize columns with all conversion metrics, providing us with deeper insights and aligning reports with our unique business goals.

    What does this mean for us? Well, according to Navah Hopkins, our go-to expert at Microsoft, we can now build custom metrics by leveraging the full spectrum of conversion data available in the platform. This means we can track all conversions and primary conversions, enabling us to tailor our reporting to meet our specific objectives more closely.

    Please note the new image showcasing Microsoft’s enhanced custom columns feature. It’s a visual reminder of how these updates can transform our analytical capabilities.

    Why am I excited about this? Because the standard reporting often doesn’t mirror how we truly measure success. By giving us the tools to expand custom columns, Microsoft allows us to define metrics that truly matter—be they lead quality, revenue, or a combination of conversion actions.

    This flexibility is crucial for managing a variety of conversion types or navigating complex marketing funnels. Now, I can create custom columns, using ratios and metric combinations such as cost per qualified lead or conversion rates focused on primary goals.

    Moreover, I appreciate that the revenue and ROAS calculations will now reflect the values that align with my conversion goals, providing more accurate insights directly linked to business outcomes.

    ```json { "alt": "Screenshot of a campaign management interface showing options for creating a new column with metrics and performance criteria.", "caption": "Exploring campaign metrics has never been easier with this detailed interface for customizing columns and viewing performance data.", "description": "This image displays a campaign management interface used for customizing and modifying columns. It includes options to name a new column, add an optional description, and formulate its metrics. The interface allows users to select metrics such as CPA, conversion rates, and revenue, as well as specify the format, in this case, currency. A list of campaigns is visible on the left, indicating a total of 2,581 campaigns, with options to apply saving or cancelling at the bottom." } ```

    What does this change imply for us in a broader sense? It represents a shift toward a more flexible and advertiser-defined measurement approach, instead of relying solely on standardized platform metrics.

    This update highlights the ongoing demand for improved reporting customization as campaigns become increasingly automated and intricate.

    So, what should we keep an eye on? I’ll be observing how advertisers like us utilize these custom metrics to guide optimization decisions, whether consistency in reporting improves across teams, and if similar flexibilities will roll out in other areas of the platform.

    Bottom line? With Microsoft giving us more control over how we measure success, custom columns are evolving into a vital asset for campaign analysis. Read more about this update here.

    Inspired by this post on Search Engine Land.

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  • Unlocking New Potential: ChatGPT’s Self-Serve Ads Revolution

    Unlocking New Potential: ChatGPT’s Self-Serve Ads Revolution

    I’ve witnessed firsthand how ChatGPT ads are evolving with self-serve buying options, enhanced measurement features, and a vision to create a scalable advertising platform.

    OpenAI is stepping up its game with the ChatGPT ads platform by introducing self-serve buying, CPC bidding, and improved measurement methods to invite more advertisers into its ecosystem.

    What’s happening. The ChatGPT ads initiative is shifting from a limited pilot to a broader rollout, providing businesses new methods to purchase and manage their campaigns. Advertisers can now access inventory through agency and tech partners or directly via the new beta Ads Manager, which is currently rolling out in the U.S.

    This marks a significant move from a controlled test phase to a promising, scalable ad platform.

    Why we care. In the past, access to ChatGPT ads was restricted and costly, limiting it to major advertisers. These updates are lowering the entry barriers, allowing SMBs, startups, and diverse brands to experiment with this channel.

    By introducing CPC bidding, ChatGPT aligns more closely with established performance platforms, enabling advertisers to optimize for actions rather than just impressions.

    Self-serve Ads Manager. With the new Ads Manager, advertisers gain direct control over campaigns, including budgeting, bidding, creative uploads, and performance tracking.

    Even though it’s still in beta, it demonstrates OpenAI’s commitment to building a full-service ad platform, beyond a mere partner-led ecosystem.

    Between the lines. This approach is not new. Typically, platforms start with high-touch, partner-led campaigns before transitioning to self-serve tools that enhance scalability. ChatGPT is entering this second phase.

    CPC bidding arrives. Originally, ChatGPT ads were sold on a CPM basis. The inclusion of CPC enables advertisers to align expenditures with user actions—a critical evolution for performance marketers.

    The nature of ChatGPT queries—often exploratory, comparative, and decision-driven—means that clicks could become an effective indicator of user intent.

    Measurement catches up. OpenAI is also introducing pixel-based tracking and a Conversions API, allowing advertisers to measure actions like purchases, sign-ups, and leads.

    Notably, this data is aggregated, ensuring no access to individual conversations, emphasizing OpenAI’s commitment to privacy.

    Why this is a big deal. Measurement was a major gap in early ChatGPT ads. Without it, justifying ad spend was challenging for advertisers. These updates help bridge that gap, making optimization more feasible.

    The ecosystem grows. OpenAI is expanding its network by partnering with agencies like WPP and Publicis Groupe, along with tech platforms such as Criteo and Adobe.

    This allows advertisers to buy ChatGPT ads through tools and workflows they are already familiar with.

    What to watch:

    • How quickly self-serve adoption scales
    • Whether CPC performance holds as competition increases
    • How measurement evolves to match advertiser expectations

    Bottom line. ChatGPT ads are transitioning from an experiment to a platform—and with self-serve tools, CPC bidding, and enhanced measurement, OpenAI is laying the foundation for expansive growth.

    Inspired by this post on Search Engine Land.

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  • LinkedIn Event Ads Now Expand Beyond the Platform: Engage Like Never Before

    LinkedIn Event Ads Now Expand Beyond the Platform: Engage Like Never Before

    LinkedIn Ads retargeting: How to reach prospects at every funnel stage
    LinkedIn’s Off-Platform event ads now empower me to promote external events effectively in-feed, driving registrations directly to my site by May 6.

    LinkedIn has unveiled Off-Platform Event Ads, providing me with a novel way to promote events without the need for a native LinkedIn Event Page.

    What’s happening. This innovative format lets me craft Event Ads that link directly to external destinations. These can be webinar platforms, landing pages, or livestream sites, allowing me to guide traffic away from LinkedIn for a more tailored experience.

    This transition signifies a move from experiences contained on a single platform to more adaptable, marketer-directed journeys.

    How it works. I can now create an Event Ad using a third-party URL, add essential event details like date and format, and select objectives such as awareness, engagement, traffic, or lead generation.

    Every click takes users directly to the external event page, while I can still track performance metrics with Campaign Manager.

    ```json { "alt": "Interface displaying various ad format options including Single image, Carousel image, Video, Text, Spotlight, Message, Conversation, Event, and Document.", "caption": "Choose the perfect ad format to boost your event's attendance and engagement. From videos to documents, select what suits your campaign best!", "description": "This image showcases an interface for selecting ad formats, featuring options like Single image, Carousel image, Video, Text, Spotlight, Message, Conversation, Event, and Document. The Event option is highlighted, suggesting its use for maximizing attendance at events. This visual serves as a guide for advertisers to decide on the most effective format for their ad campaigns, enhancing reach and engagement." } ```

    Why we care. Previously, promoting events on LinkedIn often meant staying within platform-imposed limits, complicating the user experience and restricting control over registrations.

    With Off-Platform Event Ads, I can leverage LinkedIn’s targeting features while retaining traffic, data, and conversions on my own platform, which simplifies scaling campaigns and preserving consistency for participants.

    What to watch:

    • Whether these ads result in higher registration rates compared to native Event Pages
    • How I can balance LinkedIn’s precise targeting with off-platform conversion tracking
    • Possibilities of LinkedIn extending similar versatility to other ad formats

    Availability. Off-Platform Event Ads are being gradually introduced globally and should be available to all marketers, like myself, by May 6.

    Bottom line. By allowing Event Ads to target off-platform destinations, LinkedIn provides an opportunity to elevate event promotion without the need to operate solely within its ecosystem, which is a game-changer for my marketing strategies.

    Inspired by this post on Search Engine Land.

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  • Transform Google Ads into ChatGPT Success with Adthena’s Tool

    Transform Google Ads into ChatGPT Success with Adthena’s Tool

    When I learned about Adthena’s new Google Ads-to-ChatGPT conversion tool, I was immediately intrigued. This innovation allows advertisers to seamlessly repurpose their existing search campaigns for ChatGPT, simplifying budget shifts and campaign setup.

    What’s happening? Adthena has introduced AdBridge, designed to translate Google Ads campaigns into formats suitable for ChatGPT advertising. The concept is straightforward: leverage what already works instead of starting from scratch.

    The tool evaluates advertisers’ search campaigns to compile keyword lists, identify negative keywords, and gain competitive insights, ready for direct application in ChatGPT campaigns. It identifies which brands dominate certain auctions, their frequency, and the prompts triggering these placements, offering more than just a simple copy-and-paste solution.

    Why it matters to me. Adbridge has significantly reduced the effort needed to reallocate my advertising budget from Google Ads to ChatGPT. By reusing existing keywords and insights, I can test and scale ChatGPT ads with minimal risk. As the platform expands, tools like this lower entry barriers, potentially speeding up ChatGPT’s adoption as a viable performance channel.

    As Adthena’s CMO, Ashley Fletcher, mentioned, the goal is to prepare campaigns to run directly, mimicking the CSV-based workflows familiar across major platforms.

    Early testing feedback. Adthena has already conducted numerous sessions with large enterprises experimenting with the tool, highlighting growing demand from advertisers eager to expand their presence in ChatGPT’s nascent ad environment.

    Reading between the lines. This goes beyond just convenience—it’s building momentum. Advertisers testing ChatGPT ads face challenges like restricted inventory and scale. By easing campaign deployment, Adthena is positioning itself to facilitate quicker adoption as these challenges diminish.

    A closer look. AdBridge is part of Adthena’s broader strategy, accompanied by Arlo, an AI assistant that lets advertisers query performance data and compare results across ChatGPT and search campaigns. Together, they indicate a future where AI-driven ad management mirrors existing search workflows.

    The backdrop. OpenAI rapidly evolves its ad offerings—quietly launching an ads manager, lowering minimum spend limits, and introducing flexible pricing models. Collaborations with firms like Criteo and Smartly point to a burgeoning ecosystem.

    The bottom line. As ChatGPT ads race to compete for search budgets, the ease of transition facilitated by tools like Adthena may determine the winners. Adthena aims to lead that charge.

    Inspired by this post on Search Engine Land.

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  • Discover How OpenAI is Revolutionizing Ads with ChatGPT CPC

    Discover How OpenAI is Revolutionizing Ads with ChatGPT CPC

    Have you heard the news that OpenAI has introduced CPC ads to ChatGPT? This strategic shift has transformed it into a performance-driven channel, offering advertisers new avenues for engaging intent-driven audiences and tracking ROI.

    OpenAI is moving away from a focus purely on impressions in ChatGPT to prioritize performance. This change places OpenAI in direct competition with giants like Google by adopting cost-per-click (CPC) ads, allowing advertisers to pay only when users click on their ads.

    What’s happening? OpenAI has started testing CPC ads within ChatGPT, where advertisers only pay when their ads receive clicks. Initial reports highlight that these clicks are priced between $3 to $5. They’re rolling out this feature through a limited ads manager, alongside their existing CPM-based model.

    Why now? The main catalyst seems to be pricing pressure. Since its launch, ChatGPT’s CPMs have significantly decreased from around $60 to approximately $25. Switching to CPC helps mitigate this decline by connecting revenue to tangible outcomes rather than mere impressions.

    Why do we care? With its evolution into a performance channel, ChatGPT is now not just a branding space. The CPC pricing model makes it easier for us to connect budgets directly to measurable actions, test ROI, and compare these results with channels like Google Search.

    I’m excited about the opportunity for advertisers to access what could be a high-intent audience in a new format. This presents a first-mover advantage before competition—and the associated costs—escalate.

    The bigger picture: This isn’t just a pricing change; it’s a strategic pivot. By embracing CPC advertising, OpenAI challenges Google’s dominance in the market, thereby positioning ChatGPT as a contender for performance marketing budgets.

    Reading between the lines: A major challenge lies in proving user intent. While search advertising is effective because it captures users actively searching for something, ChatGPT’s conversational context needs to generate clicks with equal value. Advertisers will likely compare these results directly with Google, setting a high standard for quality and conversion.

    Zoom out: Advertising is becoming integral to OpenAI’s long-term revenue plan, supported by investments in ad infrastructure, measurement tools, and a wider self-serve platform.

    Bottom line: By implementing CPC ads, OpenAI is vying for the performance-driven ad dollars that have long supported traditional search platforms.

    Inspired by this post on Search Engine Land.

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