Category: PPC

  • Unlock the True Power of Google Ads Beyond Just Clicks

    Unlock the True Power of Google Ads Beyond Just Clicks

    A small currency error and unnoticed breakdown in conversion tracking can quickly turn into unnecessary expenses.

    Watch this video on Vimeo

    On PPC Live The Podcast, I had the opportunity to chat with Pete Bowen, a seasoned Google Ads expert with a keen focus on B2B lead generation.

    Pete shared that throughout his career, he learned two pivotal lessons: never neglect the fundamentals, and don’t assume everything around your ads is functioning perfectly just because the campaign appears fine.

    The Currency Mistake That Cost 10 Times the Budget

    In our discussion, Pete recounted an incident where a South African client’s account was mistakenly set to the UK currency, leading to a spend ten times higher than planned. Initial results looked impressive, but the oversight eventually set unrealistic expectations and cost the client relationship.

    Why Checklists Protect PPC Teams

    The lesson here is to incorporate learning into a formal process. For instance, implementing a currency check in initial setups can transform frustrating mistakes into reliable, repeatable safeguards.

    The Bigger Problem: System Decay

    Beyond errors in setup, Pete discussed a more insidious issue: “system decay.” This involves the gradual breakdown of the infrastructure linking ads, tracking, CRM, and sales processes, often without detection.

    Why Conversion Data Failures Hurt Performance

    If conversion data flow is disrupted, Google’s algorithms miss out on critical optimization feedback, resulting in reduced spending, declining performance, or campaigns that seem to halt unexpectedly.

    PPC Managers Need to Look Beyond the Interface

    A common error among advertisers is focusing solely on Google Ads. Optimal performance involves the whole journey, from click to conversion to revenue, and any disruption can diminish results.

    What to Do When Conversion Tracking Breaks

    Priority number one is identifying and fixing the root of tracking failure quickly. Leveraging data exclusions to prevent poor data from affecting optimization is crucial, as is implementing monitoring systems to catch recurring issues early.

    The Danger of Optimising for Clicks

    Pete highlighted another frequent mistake: prioritizing clicks over outcomes. Without effective conversion tracking, advertisers might end up with significant traffic that yields few leads or sales.

    Why Performance Max Needs Strong Tracking

    Automation tools like Performance Max can exacerbate this issue if they receive misleading signals. Accurate conversion data is essential before making the most of automated tools.

    Why Bid Strategies Need Guardrails

    Google’s powerful bidding systems optimize based on the success criteria provided by advertisers. Clear objectives, reliable data, and sensible constraints like CPC limits are needed to prevent extreme results.

    Testing AI Features Carefully

    With new AI tools, the risk isn’t of premature testing, but of testing without clearly defined success metrics. Beyond just impressions and clicks, the focus should be on impacting qualified leads, sales, and overall revenue.

    The Problem with “Always Be Testing”

    Pete also challenged the constant testing philosophy. Many accounts lack the data volume to effectively run small tests, so energies are often better directed towards strengthening core practices than chasing minor improvements.

    The Key Takeaway

    The overarching lesson is that mistakes are valuable if they lead to robust systems. Each error should translate into a checklist, a monitoring strategy, or a preventive measure to ensure it doesn’t recur.


    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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  • Mastering Paid Search: What to Optimize When Keywords Matter Less

    Mastering Paid Search: What to Optimize When Keywords Matter Less

    In today’s digital landscape, I’ve noticed that paid search platforms are evolving to prioritize who sees my ads, often without depending solely on my chosen keywords.

    This shift means I need to focus on optimization strategies beyond just keywords, such as leveraging audience data, enhancing landing page context, and understanding conversion behaviors. Recognizing this shift is crucial for me to know where to focus my efforts now.

    A decade ago, keywords gave me a sense of control. Back then, hypersegmentation and single keyword ad groups were the norm.

    We’d meticulously create unique landing pages for each keyword in every ad group, reveling in the manual process, convinced that we controlled the machine.

    Times have changed, and the forecast of Google and Microsoft phasing out keywords feels more real than ever.

    With tools like Performance Max and emerging AI Max solutions, along with contextual LLM-driven searches such as ChatGPT, I see the industry leaning towards a keywordless future.

    Still, keywords remain vital as they reveal user intent and indicate where users stand in their journey:

    If these signals are now managed behind a black box, my role as a marketer is evolving. So, what am I optimizing for?

    Dig deeper: Beyond keywords: Mastering AI-driven campaigns

    Intent is now inferred from a web of signals, relegating individual keywords to the background. My optimization focus should now be on three main pillars in 2026.

    Google now emphasizes customer match and first-party data over mere queries. With Data Manager API integration, it identifies users in auctions matching my key deals.

    No longer do I bid on “cloud security.” Instead, I target IT directors (sharing first-party data) investigating SOC 2 compliance, even if they search for something vague like “scaling infrastructure.”

    B2B match rates can be challenging, but this is where I must innovate my strategy, broadening one-to-one list matching and collaborating with integration partners.

    Clustering individuals by shared pain points and offering on-site experiences help me understand their verified intent before reaching the remarketing list.

    My landing page serves as a vital data source. Google’s AI examines it to grasp the nuances of my offerings, making creative assets crucial signals that align with my target themes and keywords.

    If my landing page effectively communicates “mid-market manufacturing,” AI identifies relevant users regardless of specific keyword use, transforming my “keyword strategy” into a content strategy.

    ```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."
}
```

    Opting for a creative approach similar to Meta’s, where Andromeda elevates the creative as a primary targeting signal, is beneficial. These creative inputs define my audience, demanding a balance between creative and technical input.

    Journey-aware bidding and value-based bidding mean algorithms now analyze a user’s journey beyond the final click.

    Optimization now targets “high-value need states,” feeding the system data about mid-funnel behaviors that result in significant contracts.

    Dig deeper: Why better signals drive paid search performance

    The most profound change for digital marketers, including myself, is shifting focus from query-level to user-level intent.

    While the previously ignored query “how to manage payroll” might not have targeted enterprise SaaS companies, AI now understands if that user is a financial VP at a large firm, indicating commercial intent.

    If it’s the right user, the right signals should prompt AI to act on their purchasing stage.

    As AI handles matching, my role shifts towards becoming a data architect.

    Data quality determines my success. I must feed AI with valuable leads to optimize for value-based bidding effectively.

    Assessing the health of my signal, from landing pages optimized for AI readability to correct technical content, ensures Google accurately targets my audience.

    I now focus less on micromanaging search terms and more on managing brand exclusions and negative themes.

    The future of search is about being the best solution for the right individual at their evolving need state.

    Keywords served as training wheels, but it’s time to see how quickly my data can propel me forward.

    Dig deeper: Why PPC teams are becoming data teams


    Inspired by this post on Search Engine Land.


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  • Resolving Delays in Google Ads Demand Gen Reviews

    Resolving Delays in Google Ads Demand Gen Reviews

    Google Local Services Ads vs. Search Ads- Which drives better local leads?

    I’ve recently experienced frustrations with Google Ads as there’s a known issue causing Demand Gen ads to face review delays of over a week. Google acknowledges this problem and assures us that they’re working on a solution.

    Some of us advertising on Google have noticed our ads are lingering in review, taking more than seven days—something that deviates from normal review timelines.

    What’s happening. Matthew Skelton, a senior PPC specialist I follow, has pointed out a trending issue: Demand Gen campaigns stuck in review for an unexpectedly long time. This delay is noticeable across various accounts and industries, seemingly without any policy breaches causing it.

    Interestingly, other campaign types, like Search and Performance Max, aren’t affected and continue processing as usual, which suggests the problem is isolated to Demand Gen ads.

    Why we care. For those of us using Demand Gen to test creatives and drive top-of-funnel results, speed is crucial. Long review times hinder our ability to iterate swiftly, delay launches, and make it challenging to respond to seasonal trends or time-sensitive opportunities.

    A delay lasting a week can disrupt our pacing and diminish the effectiveness of campaigns relying on rapid optimization.

    The response. Ginny Marvin, a Google Ads Liaison, acknowledged this issue specifically impacting Demand Gen image ads, admitting reviews are taking longer than anticipated. She assured us that Google’s team is actively seeking a solution, but no clear timeline has been provided yet.

    Bottom line. If you’re experiencing delays with your Demand Gen ads, know that it’s a widespread issue acknowledged by Google rather than something you can directly address.

    First seen. This situation was first reported by Matthew Skelton, who shared his insights on LinkedIn.


    Inspired by this post on Search Engine Land.


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  • Unlocking New Revenue Streams: ChatGPT’s Bold Advertising Shift

    Unlocking New Revenue Streams: ChatGPT’s Bold Advertising Shift

    Recently, I’ve noticed that ChatGPT is rolling out ads to users who aren’t logged in. This change could dramatically boost the ad inventory as advertiser interest surges.

    What’s happening. According to early reports, ads are seamlessly appearing within conversations for those not logged in, although OpenAI hasn’t made a formal announcement. Interestingly, these ads fit into the chat responses rather than looking like traditional banners.

    Why we care. For me, the expansion to logged-out users means more inventory, allowing budgets to stretch further and reach audiences with intent. If this trend continues, I believe ChatGPT could become a powerhouse in the performance marketing arena.

    Zoom in. I’ve noticed that advertisers in the pilot phase struggle to spend due to limited inventory, despite lowered financial barriers (from $200,000 to $50,000). Expanding the potential audience seems like a logical step to overcome this hurdle.

    User experience. Personally, I find the ads relatively unobtrusive and well-integrated into conversations, though some minor UX issues persist.

    Between the lines. It’s clear to me that this is an inventory issue, not a demand one. Advertisers are eager, and OpenAI is diligently working to scale up.

    What to watch. I’ll be keeping an eye on whether OpenAI formalizes this rollout and expands further, which will indicate how rapidly ChatGPT can evolve into a competitive ad channel.

    Bottom line. I think opening ads to logged-out users is the key that could convert advertiser interest into substantial spending power for ChatGPT.


    Inspired by this post on Search Engine Land.


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  • Boost YouTube Conversions with Google’s Enhanced Demand Gen Tools

    Boost YouTube Conversions with Google’s Enhanced Demand Gen Tools

    I’ve been following the latest updates from Google, and it’s exciting to see how they’re enhancing Demand Gen tools. These updates are designed to help advertisers like me convert quicker and reach more new customers on platforms like YouTube.

    What’s happening. Google has integrated Demand Gen into their Commerce Media Suite. This means I can now leverage retailers’ first-party catalog and conversion data to connect with high-intent shoppers across YouTube, Discover, and Gmail.

    The introduction of view-through conversion (VTC) optimization is another great addition. It allows my campaigns to focus on conversions that occur after an ad is viewed—speeding up performance significantly.

    Why we care. These updates enhance the effectiveness of Demand Gen by turning views into tangible conversions. By utilizing retailer data and optimizing for view-through activities, I’m able to engage high-intent users, even if they don’t immediately click. This results in faster outcomes and increased customer acquisition.

    Between the lines. Google is now focusing beyond clicks, using richer commerce data and view-based attribution to generate results in more passive, discovery-rich environments like YouTube.

    ```json
{
  "alt": "Digital marketing campaign setup interface showing components like campaign name, goals, and performance metrics.",
  "caption": "Navigate your digital marketing with ease using a comprehensive campaign setup interface. Track goals, performance metrics, and more for optimized results.",
  "description": "This image displays a digital marketing platform's campaign setup interface. It includes sections for inputting campaign name, selecting campaign goals like conversions and clicks, and monitoring performance metrics such as estimated impressions and conversions. The interface is designed for optimizing marketing strategies with clear visualizations and detailed breakdowns. Keywords: digital marketing, campaign setup, performance metrics, marketing strategy."
}
```

    What to watch. I expect more exciting announcements about Demand Gen at upcoming events like Google Marketing Live. As YouTube evolves, it’s becoming a comprehensive performance channel.

    Bottom line. With these updates, Google has transformed Demand Gen into a robust, data-driven machine for converting high-intent audiences—especially on YouTube.

    Dig deeper. Demand Gen Drop – April 2026


    Inspired by this post on Search Engine Land.


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  • Master Google Ads: Boost High-Value Customer Acquisition & Retention

    Master Google Ads: Boost High-Value Customer Acquisition & Retention

    I recently dove into Google Ads to explore their new customer acquisition goals. With fresh capabilities like high-value customer bidding and retention targeting, I was curious about how they could boost my marketing efforts.

    Many strategies still assume new customers are the most valuable, but this breaks down rapidly. Not every new customer is worthwhile, and ignoring existing ones can be a mistake. The crux is Google’s high-value customer and retention bidding goals.

    Google uses predictive bidding to pinpoint high-value customers, but the key is the customer match list I upload. To tweak settings, I venture into the customer lifecycle optimization section under Goals > Summary and select Edit Goal.

    ```json
{
  "alt": "Google Ads interface for setting new high value customer conversion.",
  "caption": "Optimize your ad campaigns by setting incremental conversion values for high-value new customers using Google Ads.",
  "description": "Screenshot of Google Ads interface for setting up high-value customer conversion optimization. It includes a section to add an incremental conversion value of $0.02 for new customers and a tool for adding audience segments with updates available in the Audience manager. The feature supports Performance Max & Search campaigns, requiring segments with at least 1,000 active members."
}
```
    Google Ads new customers (high value)

    Here, I set a higher new customer value to bid aggressively for high-value clients. Google usually suggests a value based on higher LTV, but I ensure it aligns with my strategy before making adjustments.

    Once adjusted, Google’s reports reflect the added conversion value alongside the actual sale or lead value. If using cost-per-conversion models, the discrepancy is less impactful. However, it can skew ROAS in a ROAS-based model. Luckily, Google introduced a column to separate true and additional values for clarity.

    ```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."
}
```

    Dig deeper: Google Ads quietly rolls out a new conversion metric

    Building high-value customer audiences means adding an audience list of high-value customers. I think about what makes my customers valuable, whether due to high order values or interest in premium services.

    ```json
{
  "alt": "Settings page for adjusting bidding to acquire new customers with options and conversion values for customer types.",
  "caption": "Optimize your bidding strategy by focusing on acquiring new customers and see how conversion values vary for different types.",
  "description": "The image displays a settings interface for adjusting online advertising bid strategies to acquire new customers. It includes options to bid higher for new customers or only bid for new customers, with a section to calculate values using account settings. On the right, there's a comparison of conversion values for existing and new customers, showing how a purchase value of $240.39 differs slightly for each type. Useful for digital marketers aiming to optimize customer acquisition through targeted bidding strategies."
}
```

    Once I compile and upload the list, I need at least 1,000 active members on YouTube or Search networks to serve effectively. Including additional data like phone numbers and addresses improves my match rates.

    If I want a streamlined approach, tools like Klaviyo can integrate audiences directly into my Google Ads account, often yielding high match rates.

    ```json
{
  "alt": "Google Ads setting for lapsed customer retention in Performance Max campaigns.",
  "caption": "Boost your campaign effectiveness by focusing on lapsed customer retention using Google Ads' Performance Max settings.",
  "description": "This image shows a Google Ads interface for setting up customer retention targeting lapsed customers, available only in Performance Max campaigns. It includes options to add an incremental conversion value for lapsed customers with a suggested value of $489.10. Additionally, it suggests adding audience segments with over 1,000 active members to identify both lapsed and existing customers via the Audience Manager."
}
```

    With everything set in the customer lifecycle optimization section, it’s time to optimize my campaigns. I can’t apply both bidding goals to the same campaign, so I tailor my targeting and ad copy to different customer types.

    For campaigns focusing on high-value new customers, I expand the Customer Acquisition segment and choose a bidding option to target specifically new customers.

    ```json
{
  "alt": "Interface for managing lapsed high-value customer retention in Performance Max campaigns.",
  "caption": "Optimize your customer retention strategies by adding conversion values for lapsed high-value customers and creating audience segments.",
  "description": "This image displays a user interface for lapsed high-value customer management in Performance Max campaigns. It provides options to add an incremental conversion value and create audience segments for current high-value customers. The suggested value for conversion is $978.20. Customer retention is highlighted as a key feature of these campaigns. This tool aids marketers in enhancing customer engagement and retention efficiently."
}
```

    It’s critical that my ad content resonates whether I’m aiming for new clientele or re-engaging past customers.

    Google Ads customer acquisition

    When it comes to re-engaging lapsed customers, I set bidding parameters for retention back under Goals. There, I find lists for lapsed and high-value lapsed customers, if I have the data to support them.

    ```json
{
  "alt": "Customer retention settings with conversion value for lapsed customers highlighted.",
  "caption": "Optimize your bids: Engage lapsed customers effectively with tailored conversion values.",
  "description": "This image shows a customer retention panel within a marketing platform, illustrating settings for adjusting bids to re-engage lapsed customers. Incremental conversion values are listed alongside customer types. A warning box advises including an audience segment for identifying lapsed customers. On the right, a comparison of conversion values for different customer types based on a $648.78 purchase is shown. Keywords: customer retention, conversion value, marketing platform."
}
```
    Setting for customer retention

    Google suggests values or lists, but accuracy is key before saving adjustments. In Performance Max campaigns, lapsed customers may see a variety of ads, making it essential my messaging speaks to them effectively.

    Everything hinges on having reliable inputs like quality customer match lists and performance metrics. Used right, lifecycle bidding can prioritize valuable customers and revive lapsed ones, but careless usage just skews data without driving real results.


    Inspired by this post on Search Engine Land.


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  • Unlock Early Features with Google’s App Labs for Advertisers

    Unlock Early Features with Google’s App Labs for Advertisers

    I recently discovered that Google is quietly testing something quite intriguing—a new “App Labs” beta in Google Ads. This development is offering app advertisers early access to experimental campaign features before they’re available to everyone.

    What’s new? There’s a new dedicated tab within the App advertising hub. Here, advertisers like me can explore limited-time experiments, provide valuable feedback, and take a sneak peek at tools still in development.

    Google App Labs Interface

    Why do I care? Well, Google providing early access means I get a chance to test, learn, and optimize before competitors catch on. This early adoption could give my advertising efforts a significant performance edge, helping me adapt more quickly as new tools standardize.

    Zoom in. Features in App Labs are essentially short-run tests. They’re not guaranteed to roll out on a permanent basis, but they offer Google real-world feedback while giving me a first-mover advantage.

    ```json
{
  "alt": "App Labs beta interface with sections for experimenting and feedback.",
  "caption": "Explore new innovations with App Labs Beta, a hub for testing and providing feedback on cutting-edge features.",
  "description": "The image displays the App Labs Beta interface, part of the app advertising hub, where users can experiment with new features and offer feedback. The interface includes sections like 'Web to App Connect' and 'Deep link validator,' providing a platform for testing experimental functionalities and innovation in digital platforms. The phrase 'Your Experiment' suggests a focus on trial and creativity within the app."
}
```

    Between the lines. This is essentially a sandbox for app campaigns and signals that Google values advertiser input early in the product cycle.

    What to watch. As an early adopter, I might see performance advantages by testing and adapting to features long before my competitors are even aware of them.

    First seen. I first heard about this update from Google Ads expert Thomas Eccel, who spotted it and shared the news on LinkedIn.


    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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  • Explore ChatGPT’s New Ads Manager: A Game-Changer for Advertisers

    Explore ChatGPT’s New Ads Manager: A Game-Changer for Advertisers

    I recently came across OpenAI’s testing of a new ChatGPT Ads Manager interface, which heralds a promising shift towards a more scalable and self-directed advertising platform.

    Advertisers are buzzing about their experiences with the new Ads Manager interface for ChatGPT. It’s a leap forward, offering a mature advertising platform where we can manage campaigns in real time. This is a significant improvement over what we’ve had so far in terms of reporting and controls, as shared by digital marketers Juozas Kaziukėnas and Glenn Gabe through their detailed images.

    ```json
{
  "alt": "Screenshot of a digital marketing platform's campaign setup wizard, showing steps to create a new traffic campaign.",
  "caption": "Setting up your digital marketing strategy? Start with a new traffic campaign using this intuitive campaign creation wizard.",
  "description": "This image shows a screenshot of a digital marketing platform's interface for creating a new traffic campaign. The setup wizard guides users through steps like naming the campaign, selecting an objective, choosing a location, setting a budget, and scheduling start and end dates. The interface is clean and user-friendly, designed to streamline the campaign creation process. Keywords: digital marketing, campaign setup, traffic campaign, marketing strategy."
}
```

    What’s New: The Ads Manager is essentially a dashboard that allows me to run, monitor, and optimize campaigns in real-time—a significant advancement from the limited reporting we’ve seen previously. Juozas Kaziukėnas and Glenn Gabe shared some fascinating insights through images of this evolving interface.

    ```json
{
  "alt": "Screenshot of a new campaign setup page showing options for campaign name, objective, budget, and start date.",
  "caption": "Setting up your CPC campaign has never been easier! Choose your campaign's objective, budget, and launch date all in one streamlined interface.",
  "description": "This image displays a screenshot of a new campaign setup interface for creating a CPC campaign. Users can enter a campaign name, select an objective such as 'Clicks', set a campaign budget in USD, define a conversion event, and choose start and end dates. The interface is user-friendly, designed to guide users through campaign creation in three steps: Create Campaign, Create Ad Group & Ads, and Review. Keywords: campaign setup, CPC campaign, marketing, digital advertising."
}
```

    Why It Matters: Up to now, ChatGPT ads have been in the nascent stages, with advertisers relying on basic tools like weekly CSV reports. The introduction of a comprehensive Ads Manager indicates OpenAI’s efforts to construct an infrastructure analogous to what we see in platforms like Google Ads or Meta.

    ```json
{
  "alt": "Interface for creating a new CPC ad campaign on a digital platform.",
  "caption": "Set up your CPC campaign with ease using this user-friendly interface. Define your ad group, CPC bid, and more for optimal ad performance.",
  "description": "This image shows a digital platform interface for setting up a CPC (Cost-Per-Click) ad campaign. The screen displays fields for entering the ad group name, maximum CPC bid limit, website URL, and context hints. This setup page is part of a step-by-step campaign creation process, providing a structured approach to configuring online ads. Ideal for marketers looking to efficiently launch advertising campaigns with clear, intuitive tools."
}
```

    Zoom In: I’m noticing more ads popping up inside ChatGPT, with brands such as Best Buy and Expedia being visible in early tests. The increase in ad inventory, combined with a sophisticated management interface, suggests a swift expansion in monetization endeavors.

    ```json
{
  "alt": "Interface for creating a new advertising campaign with CPC bid settings.",
  "caption": "Navigating ad creation: Setting up your new campaign with the right CPC bid limits.",
  "description": "This image displays the interface for creating a new campaign on an advertising platform. It includes sections for naming the ad group, setting a maximum CPC bid limit, and entering a website URL. The current bid limit is set at $10, but a warning advises a bid between $3 and $5. This setup phase is crucial in optimizing ad performance and budget allocation."
}
```

    What to Watch: As the Ads Manager continues to evolve, I’m looking forward to more refined targeting, reporting, and automation features. Initial feedback indicates there’s still room for growth here, especially concerning ChatGPT ads.

    First Seen: Glenn Gabe was among the first to share glimpses of the ChatGPT ads manager interface on X.


    Inspired by this post on Search Engine Land.


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