Tag: Ad Optimization

  • Master Google Ads Budget: Control Spend, Maximize Results

    Master Google Ads Budget: Control Spend, Maximize Results

    How Google Ads paces, caps, and recalculates spend when budgets change

    Making adjustments to a Google Ads budget mid-flight triggers a variety of changes and forecasts. It can be complex, but I’ve found that understanding how these work helps in modeling the impact of budget changes and staying clear of unexpected outcomes.

    Managing budgets in paid search isn’t simply about setting a daily figure. I need to grasp how different platforms pace spending, handle exceptions, and what shifts when budgets are tweaked mid-month.

    Most PPC advertisers, including myself, adjust budgets throughout the month and are curious about how these changes influence performance.

    The challenge increases in enterprise scenarios, where fiscal calendars and promotional campaigns rarely sync perfectly with calendar months.

    A frequent assumption is that spends will be evenly distributed, but that’s not always the case—resulting in either overspending one week or underspending another, both of which can be costly.

    Overspending eats into profit, while underspending can leave potential conversions untapped and reduce future budget allocations.

    ```json
{
  "alt": "Digital screen showing a budget notification for an ad campaign.",
  "caption": "Budget alert: Ensuring you stay within your limits. Discover a clear breakdown of your campaign's spending cap this December!",
  "description": "This image displays a digital notification with a budget alert for an advertising campaign. The message states that the maximum charge for the campaign in December will be CA$3,666.27. There is an option to view a detailed budget report. Keywords: budget notification, ad campaign, December spending, digital alert, financial planning."
}
```

    It’s about more than just doing the math. Budgeting is crucial to the performance of paid search strategies, and without understanding pacing, I risk squandering budget, missing opportunities, and damaging credibility.

    How budgets work in Google Ads

    In Google Ads, I set a daily budget at the campaign level. Ideally, this budget is evenly spread over the month.

    • The monthly rule: A $100 daily budget becomes $3,004 monthly.
    • The promise: Google ensures charges won’t exceed this monthly cap.
    • The busy day rule (overdelivery): Google may spend up to double the daily budget on high-traffic days but maintains the monthly cap.

    If my daily limit is reached, ads may stop appearing. This “Limited by budget” notice shows a demand that surpasses my spend capacity.

    What happens when you change your budget mid-month

    Changing a budget, say on the 8th of the month, recalculates everything moving forward from that date.

    • Step change in monthly limit: The system merges the old budget for days 1-7 with the new budget from day 8 onward, which adjusts the monthly cap.
    • Daily limit adjusts immediately: It recalibrates to twice the new daily budget as soon as changes happen.
    • Pacing re-optimized: Google modifies how it allocates the spend over the remaining days.
    • Visual indicators: A gray triangle in reports highlights the date of change with an apparent ‘step’ in the monthly spend line.

    When opting for a campaign total budget, rules slightly differ. It’s less flexible, more rigid, without a daily cap, ideal for promotional or video campaigns.

    Campaign totals, akin to a project fee, aim to spend evenly by the end date instead of on a daily basis, making it less adaptable during the running campaign.

    ```json
{
  "alt": "Budget report showing cumulative monthly spend and daily spending limits.",
  "caption": "A detailed budget analysis graph highlights cumulative monthly expenditures and daily spending trends, providing a clear financial overview.",
  "description": "This budget report image displays two sections: the cumulative monthly spend and the daily spend. The monthly section includes spending limits, monthly forecasts, and costs to date, with visual lines and labels—$3.67K, $2.64K, and $1.62K respectively. The daily spend chart shows bars representing daily costs against a $160 daily spending limit, providing insights into spending habits and adjustments. Keywords: budget report, financial overview, spending trends."
}
```

    The real challenge for paid search managers

    PPC budgets interact with other factors like targeting and ROAS goals, often leading to underspending, as unused budgets can’t be reclaimed, directly affecting future spend capabilities.

    Senior PPC managers, including myself, often rely on spreadsheets and continuous tracking to balance spending, targeting dynamics, and campaign performance.

    Thankfully, Google Ads provides tools that simplify managing these changing budgets.


    How to project spend and impact before adjusting budgets

    When facing mid-month budget cuts, like trimming $2,000, understanding and utilizing available tools is essential for visualizing potential impacts.

    1. The budget report (spend projection)

    The budget report is my key tool for visualizing mid-month budget impacts on the final bill.

    • Where to find it: Navigate to Campaigns in Google Ads, locate the campaign, hover over the Budget column, and select View budget report.

    This report marks changes clearly and is instrumental in understanding spending shifts and confirming if the projected savings align with goals.

    ```json
{
  "alt": "Graph showing estimated conversion value based on varying spend amounts with an average conversion rate of 17.14%.",
  "caption": "Optimize your campaign strategy with this insightful graph showing potential conversion values at a 17.14% average rate. Discover how a $15.6K spend could yield $54.7K!",
  "description": "This graph illustrates the relationship between spend amounts and estimated conversion values, highlighting a 17.14% average conversion rate. By shifting campaign spends, the forecast predicts a conversion value of 54.7K at a spend of $15.6K, offering a conversion value per spend of 3.51. Two scenarios are shown: current and planned settings, facilitating strategic budget adjustments."
}
```

    2. Performance planner (results projection)

    The performance planner aids in understanding how different budget levels impact key metrics like clicks and conversions.

    Inputting new budget scenarios allows me to communicate the expected results of changes, not just the monetary savings but also the trade-offs like lost conversions.

    3. Manual calculation (logic check)

    Sometimes a manual check is necessary to ensure accuracy in budget planning, aligning with monthly and promotional periods.

    • Subtract the month-to-date spend from the new monthly goal, divide by remaining days.

    Where paid search performance and financial planning intersect

    I compare these tools to various aspects of driving for better understanding. Like choosing speed for gas savings, budget reports and performance planners elucidate impacts in real-time.

    It underlines that paid search requires ongoing management, where budgets adapt to business needs, separating the best managers from the rest.


    Inspired by this post on Search Engine Land.


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  • Master LinkedIn Targeting in Microsoft Advertising

    Master LinkedIn Targeting in Microsoft Advertising

    Here’s how LinkedIn professional attributes enhance intent, automation, and creative decisions in Microsoft Advertising.

    Using LinkedIn targeting within Microsoft Advertising allows me to align creative strategies with the perfect audience. By engaging with this thoughtfully, I can apply professional insights to intent-driven inventory without breaking the bank.

    The key is understanding how these targeting methods collaborate across different campaign types. In this guide, I’ll walk you through leveraging LinkedIn data within Microsoft Advertising, including:

    • LinkedIn in Search campaigns, including Multimedia ads.
    • Using LinkedIn insights for an enhanced audience strategy.
    • Performance Max targeting signals.
    • Audience reach and composition insights via Audience Planner.

    Disclosure: As a Microsoft employee, I’ve kept this article objective, focusing on LinkedIn targeting mechanisms, targeting action items, reporting, and message mapping strategies.

    LinkedIn Profile Targeting in Search

    Microsoft Advertising search campaigns fully support LinkedIn profile targeting, allowing me to layer professional attributes on top of keyword targeting. The supported attributes include:

    • Company
    • Industry
    • Job function

    These audiences can be utilized across Microsoft‑owned environments, such as Bing Search, Microsoft Edge, Microsoft Start, and other eligible search surfaces, provided users are signed in.

    ```json
{
  "alt": "Options for selecting targets in Company, Industry, and Job function with no targets selected.",
  "caption": "Explore potential by selecting targets in Company, Industry, and Job Function, and tailor your strategy to meet specific goals.",
  "description": "This image shows a user interface for selecting potential targets within three categories: Company, Industry, and Job function. Currently, no targets are selected, and an option to edit targets is available. Icons depict each category, offering a structured approach to refining goals or strategies within a platform. This interface is useful for customizing and targeting specific business or marketing objectives."
}
```

    In search, LinkedIn targeting works as a contextual guide rather than a standalone target. Keywords carry the main weight, while LinkedIn data helps me adjust my response when professional relevance is present.

    How to Approach It

    • Start with keywords that already convert: LinkedIn targeting enhances existing intent with proven keywords. I apply bid adjustments to campaigns or ad groups where search terms already demonstrate business value, potentially increasing bids by 10%-15% for aggressive bidding or more aggressive adjustments when impression share is lost to rank.
    • Choose one professional dimension first: I begin with either company, industry, or job function instead of applying all three simultaneously. This approach prevents double-bidding on potential customers.
    • Use bid-only mode to establish a baseline: Observation mode provides performance clarity before I make delivery decisions. This acts as audience research to identify who engages profitably.

    Dig deeper: LinkedIn Ads retargeting: How to reach prospects at every funnel stage

    LinkedIn Professional Demographics in Audience Ads

    Audience Ads leverage LinkedIn Professional Demographics as both a targeting and observation layer, introducing professional context into native, display, and video formats tailored for scalable reach.

    Audience Ads aren’t driven by keyword intent; however, Professional Demographics anchor delivery and insights in real-world business contexts, bridging broad reach with professional relevance.

    These ads let me apply company, industry, and job function as professional audience layers, which I can use to observe performance trends or influence delivery, depending on campaign objectives.

    ```json
{
  "alt": "Industry targeting settings in an ad platform, showing potential monthly impressions of 80.95 billion.",
  "caption": "Explore industry-specific ad targeting options to maximize your campaign's reach with an estimated 80.95 billion impressions.",
  "description": "The image displays an ad platform interface focused on industry targeting options. Users can specify or exclude industries like Manufacturing, Consumer Goods, and Health Care. A sidebar indicates potential monthly impressions of 80.95 billion, with options to adjust bid increments and targeting settings. Keywords: ad targeting, industry selection, impressions, bid adjustment."
}
```

    How to Approach It

    • Start in observation to understand natural performance: By observing performance trends in Professional Demographics, I learn which industries, job functions, or company types naturally engage with Audience Ads before imposing delivery constraints.
    • Let LinkedIn data inform creative, not just delivery: In content-rich environments, creative matters more than targeting alone. I use insights from high-performing professional segments to shape tone, examples, and value framing in my messaging.
    • Align format choice with professional mindset: Different formats perform distinct roles. For example, native and display formats excel in awareness and education within professional segments, while video supports storytelling and industry-specific narratives. Professional Demographic insights guide the most suitable formats for varied business audiences.

    LinkedIn Data in Performance Max: Guiding Automation with Purpose

    LinkedIn profile targeting is available within Performance Max campaigns, where it functions as an audience signal. These signals help the system identify professional profiles most likely to yield profit for my business and influence budget allocation.

    Within Performance Max, professional signals are most effective when representative and directional, rather than exhaustive, providing the system a strong starting point.

    How to Approach It

    • Select signals that reflect your best customers, not every customer: Using LinkedIn attributes to describe my most valuable segments is crucial, especially if different personas represent varying ROAS/CPA goals, as this affects PMax campaign asset groups’ shared ROAS/CPA bidding.
    • Pair LinkedIn signals with strong conversion definitions: Automation improves when reinforced by clear success metrics. Ensuring at least 30 conversions over a 30-day period is vital for autobidding effectiveness.
    • Allow time for learning: Audience signals need sufficient volume to influence delivery, so I avoid frequent changes during the initial learning period (two weeks). Afterward, budget adjustments up to 15% can be made without triggering learning period fluctuations.

    Dig deeper: Google and Microsoft: How their Performance Max approaches align and diverge

    Reporting: Turning Audience Data into Decisions

    Aggregated LinkedIn audience reporting is divided by company, industry, and job function, letting me analyze how professional segments contribute to campaign performance. This reporting, found under Reporting > Professional demographics, includes LinkedIn targeting or audiences applied through predictive targeting.

    How to Approach It

    • Look for consistency across time, not single spikes: Patterns emerging over weeks or months are more actionable than short-term anomalies. I allow “observation” audiences ample time to prove themselves or use Audience Planner for informed decisions at scale.
    • Use reporting to inform creative and bids together: Upon identifying outperforming professional segments, I scrutinize messaging and bidding before initiating changes. It’s crucial to confirm creative resonance without overbidding.
    • Avoid over-segmentation early: Excessive audience segmentation can weaken signal strength, especially when conversion scarcity is a concern.

    Bidding with LinkedIn Audiences

    In Microsoft Advertising, I use bid adjustments alongside automated strategies, enabling flexibility in how LinkedIn audiences influence auctions. Overlapping audiences can amplify bid adjustments, necessitating overlap awareness as part of my bid strategy.

    ```json
{
  "alt": "Interface for targeting users by company, industry, and job function with a search feature.",
  "caption": "Explore precise targeting options by company, industry, or job function, enhancing your marketing strategy with tailored user engagement.",
  "description": "This image showcases a digital interface for targeting users based on company affiliation, industry, and job function. It features search boxes for entering specific queries and lists various industries such as Manufacturing, Health Care, and Design. Job functions like Education and Media are highlighted, with a 'Target' option beside each. The interface emphasizes strategic ad placement while advising against using personal demographics for certain services. Keywords: targeting, industry, job function, company, advertising."
}
```

    Effective bidding adjustments should be incremental and reversible, aiming for calibration rather than acceleration.

    How to Approach It

    • Keep initial bid adjustments small: Single-digit percentage changes preserve learning while allowing differentiation.
    • Audit audience overlap before increasing bids: I review how company, industry, and job function audiences intersect within campaigns.
    • Apply bid changes gradually and sequentially: Adjusting one audience dimension at a time helps me understand its individual impact.
    • Reassess after enough volume accumulates: Decisions are based on performance reaching statistical relevance.

    Dig deeper: The future of remarketing? Microsoft bets on impressions, not clicks

    Creative Strategy: Professional Relevance Without Narrow Assumptions

    LinkedIn targeting controls ad visibility, but creative determines engagement. Professional cohorts encompass a variety of experiences, identities, and viewpoints. My aim is effective creative that respects diversity while remaining relevant to shared contexts.

    Effective creative exhibits professional empathy, addressing challenges, goals, and constraints without reliance on stereotypes.

    How to Approach It

    • Anchor creative in shared problems, not titles: I focus on challenges common to roles and seniority levels within a LinkedIn targeting segment.
    • Keep language inclusive and adaptable: I avoid assumptions about background, experience, or decision-making authority.
    • Use AI tools to localize, not homogenize: Adapting tone or examples by region or industry while preserving message intent is crucial.
    • Test creative alongside audience layers: I evaluate messaging performance within LinkedIn segments to refine both together.

    Extending LinkedIn Insights Across B2B Campaigns

    LinkedIn targeting in Microsoft Advertising provides an opportunity to combine professional expertise with intent-driven media scalably, in a privacy-conscious and economical manner.

    ```json
{
  "alt": "Screenshot of a professional demographics reporting interface with options for filters and column selections.",
  "caption": "Explore insights with the professional demographics reporting tool, offering customizable filters to analyze various data points effectively.",
  "description": "This image shows a screenshot of a professional demographics reporting interface. The interface includes options such as 'Add filter' and 'Add conditional formatting', alongside columns like Account, Campaign, Ad group, Company name, Industry name, and more. The 'Modify' button is present to alter settings. This tool is used for analyzing demographic data with focused filters, aiding in targeted analysis and reporting. Keywords: professional demographics, reporting interface, data analysis."
}
```

    Teams already using LinkedIn Ads can leverage this strategy to extend learnings into additional inventory via automation, amplifying reach and efficiency.

    The value lies not in complexity, but in alignment – aligning data, mechanics, and human behavior enhances results.

    Key takeaways:

    • LinkedIn profile targeting is fully accessible in Search and Performance Max on Microsoft surfaces.
    • Professional attributes act as targeting layers in search and optimization signals in Performance Max.
    • An observation-first approach fosters understanding before commitment.
    • Aggregated reporting aids informed optimization without revealing individual data.
    • Thoughtful, incremental bid adjustments maintain performance stability.
    • Empathy-anchored creative fosters professional relevance.

    When I use LinkedIn data with curiosity and care, it offers a way to view audiences more clearly rather than control them more tightly. For B2B advertisers navigating complex buying journeys, such clarity often becomes the most valuable optimization.

    Dig deeper: 5 LinkedIn Ads mistakes that could be hurting your campaigns


    Inspired by this post on Search Engine Land.


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  • Must-Read PPC Insights: 2025’s Top 10 Expert Articles

    Must-Read PPC Insights: 2025’s Top 10 Expert Articles

    Top 10 Search Engine Land PPC columns of 2025

    This past year, PPC has been anything but static – it has evolved. As I explored the insights from 2025, I found these articles resonated deeply. They addressed crucial questions like maintaining a competitive edge, eliminating wasteful spending, collaborating with automation, and gearing up for the future.

    Join me as I take you through the links to the top 10 most-read PPC columns on Search Engine Land from 2025, crafted by our incredible experts.

    10. Can small businesses compete on Google Ads anymore?

    Though it might seem challenging, even the smallest businesses can carve out their niche and captivate customers. Discover the strategies that make this possible. (By Sophie Logan. Published Sept. 16.)

    9. Google Ads optimization: What to stop, start, and continue in 2025

    Update your optimization techniques for 2025 with innovative approaches to keywords, Performance Max, and audience targeting. (By Pauline Jakober. Published Feb. 6.)

    8. CPC inflation: How fast are Google Ads costs rising?

    With increasing CPCs, understanding the pace of this inflation and comparing it to the consumer price index is essential for shaping your ad strategies. (By Mark Meyerson. Published April 16.)

    7. The end of SEO-PPC silos: Building a unified search strategy for the AI era

    AI is bridging the gap between organic and paid search. Learn how integrating SEO and PPC can enhance your visibility and brand presence. (By Jen Cornwell. Published Oct. 6.)

    6. How to vibe code for PPC: Building a seasonality analysis tool

    PPC scripts have limitations, but with vibe coding, you can remove obstacles and transform complex seasonal data into practical planning tools. (By Frederick Vallaeys. Published Aug. 21.)

    5. How to write high-performing Google Ads copy with generative AI

    Streamline your ad creation process without losing your core message. Leveraging generative AI can help craft engaging, personalized copy that truly connects. (By Jason Tabeling. Published Aug. 1.)

    4. 7 Google Ads search term filters to cut wasted spend

    Discover filtering techniques that refine targeting, reduce unnecessary clicks, and reveal new keyword opportunities. (By Menachem Ani. Published July 22.)

    3. Google Ads scripts: Everything you need to know

    Enhance your campaign management with Google Ads scripts. Uncover insights, actionable tips, and use cases for leveraging automation to improve performance. (By Frederick Vallaeys. Published Jan. 9.)

    2. PPC in the age of zero-click search: How to stay profitable

    As clicks become scarcer, maintaining visibility requires precise targeting and value-based bidding. Achieving this ensures your prominence in both paid and organic searches. (By Sarah Stemen. Published Oct. 7.)

    1. 5 Google Ads tactics to drop in 2026

    With Google’s environment becoming more automated, some PPC tactics are now obsolete. Discover what to eliminate and what to focus on for the coming year. (By Sarah Vlietstra. Published Nov. 4.)


    Inspired by this post on Search Engine Land.


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  • Google Opens New Doors with Reduced Audience Size in Ads

    Google Opens New Doors with Reduced Audience Size in Ads

    I recently learned that Google has made a significant change by lowering the minimum audience size requirement for its Ads platform to just 100 active users. This adjustment now makes it far easier for advertisers, both large and small, to harness the power of remarketing and customer lists without the previous constraints.

    What’s new: Now, advertisers can utilize audience segments with as few as 100 users across platforms like Search, Display, and YouTube. This includes both remarketing lists and customer lists. Excitingly, this same 100-user limit also applies to Audience Insights, slashing the previous threshold from 1,000.

    Catch up: The shift toward these smaller audience thresholds began in May. At that time, Google had already reduced the minimum user requirement for Customer Lists in Search campaigns from 1,000 to just 100 users. This marks a clear trend towards making audience targeting more inclusive.

    Why this matters: Smaller accounts and niche advertisers now have the opportunity to implement audience strategies that were once unattainable due to those larger size thresholds. By bridging this gap, Google removes a longstanding barrier to advanced targeting and personalization within Ads.

    ```json
{
  "alt": "Requirements for data segment size for Google and YouTube ads.",
  "caption": "Discover the minimum data segment sizes required to serve ads across Google Display, Search, and YouTube networks.",
  "description": "The image outlines the minimum requirements for data segment sizes for serving ads on Google platforms. Google Display and Search Networks, as well as YouTube, require a minimum of 100 active visitors or users within the last 30 days. This requirement ensures accurate audience targeting based on segment settings and factors like installation time and campaign setup. The numbers are highlighted for emphasis, and customer lists share the same eligibility criteria. Keywords: Google, YouTube, ads, data segment, active users."
}
```

    What to watch: I’m curious to see how advertisers will leverage these more precise, smaller segments and whether performance or privacy safeguards will evolve to align with this broader access.

    First seen: This update first caught the eye of Web Marketing Consultant, Dario Zannoni, who shared the news on LinkedIn.

    Bottom line: By reducing audience size limits to 100 users everywhere, Google paves the way for a wider array of advertisers to access advanced audience targeting options.


    Inspired by this post on Search Engine Land.


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  • Gain Cross-Account Insights with Google’s New PMax Report Feature

    Gain Cross-Account Insights with Google’s New PMax Report Feature

    I’m excited to share that Google has expanded the Performance Max Channel reporting to MCCs, providing us advertisers with unprecedented insights across accounts. This new update allows me to see how PMax spends and performs across various channels, all in one place.

    Google’s token auction: When LLMs write the ads in real-time

    The Channel Performance report, which was previously available only per account, is now accessible in some manager (MCC) accounts. This is particularly thrilling as I’ve been eager for Google to confirm this rollout, and now it’s happening in live environments!

    Why it’s important to me: This MCC-level visibility means I can efficiently analyze Performance Max’s spend allocation across different channels like Search, Display, YouTube, Discover, Gmail, and Shopping without having to dive into separate accounts. It’s a fantastic time-saver for managing large portfolios.

    ```json
{
  "alt": "Analytics table showing ad campaign performance across different channels, featuring impressions, clicks, interactions, and conversions.",
  "caption": "Dive into your ad performance with this detailed channel distribution table. Analyze impressions, clicks, and conversions to optimize your marketing strategy.",
  "description": "This image displays an analytics table detailing ad campaign performance across various channels. Columns include campaign type, account, impressions, clicks, interactions, conversions, and conversion value. The table provides a comprehensive overview allowing for performance tracking and optimization of ad strategies across platforms like Discover, Display, Gmail, Maps, Search, and YouTube."
}
```

    What I’m paying attention to: I’m keen to see when this feature becomes widely available across all MCCs. Plus, I’m hoping Google might introduce deeper metrics or export options to further enhance our analysis.

    This development was first noticed by Mike Ryan from Smarter Ecommerce. He’s also published a helpful guide on using Google’s Channel Performance reports. His insights have been invaluable!

    Conclusion: With MCC-level Channel Performance, Google is moving closer to demystifying Performance Max, particularly for agencies requiring extensive cross-account insights. It’s a welcome change for many of us strategizing at scale.


    Inspired by this post on Search Engine Land.


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  • Boost Your Ad Strategy with Microsoft’s Asset-Level Reviews

    Boost Your Ad Strategy with Microsoft’s Asset-Level Reviews

    Recently, I discovered that Microsoft Advertising has introduced asset-level editorial reviews, a game-changer for anyone running ad campaigns. This new feature allows us to see individual ad components like headlines and images get reviewed separately. If one part is non-compliant, it won’t hold back the whole ad, ensuring that compliant components keep running smoothly.

    Here’s What’s New: Announced back in June, this feature provides a granular view of ad approvals. Now, I can easily spot which specific asset might be causing issues, instead of having to guess why an entire ad wasn’t approved.

    Why I Care: This update is a relief because it minimizes campaign disruptions and speeds up the approval process. No more resubmitting entire ads just to fix one small mistake. I can now address the exact problematic asset swiftly.

    ```json
{
  "alt": "Microsoft Advertising dashboard showing disapproved ad assets for a campaign.",
  "caption": "Campaign snag? This Microsoft Advertising dashboard reveals disapproved assets, urging advertisers to adjust strategies and resubmit for approval.",
  "description": "The image displays a Microsoft Advertising dashboard for a campaign showing that 4 out of 8 ad assets are disapproved. There are sections for asset types, policy status, and impressions. Options to edit, filter, and request an exception are visible. The interface is designed for managing ad campaigns efficiently, highlighting areas needing attention with alerts on disapproved assets. Keywords: Microsoft Advertising, disapproved ad, campaign management."
}
```

    How it Enhances the Workflow: The platform now flags disapproved elements right in the dashboard. It gives a clear warning when something is blocked and provides a detailed asset status, making it easy to stay on top of my campaigns.

    The Bottom Line: This more precise system replaces the old all-or-nothing approval process, letting compliant ads run uninterrupted and putting more control in my hands as an advertiser. It’s definitely a step forward in ad management!


    Inspired by this post on Search Engine Land.


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  • Master Broad Match: Control Smart Bidding Effectively

    Master Broad Match: Control Smart Bidding Effectively

    I’ve learned that broad match now operates alongside Smart Bidding. It’s fascinating how drift happens, why it’s important, and how to align performance with genuine intent.

    Broad match, once synonymous with “more reach, less relevance,” now depends on a machine learning layer to define relevance.

    Over time, Google has nudged us, the advertisers, towards fewer complexities like fewer match types and more automation.

    Since July 2024, broad match has become the default for new Search campaigns, signaling a shift in how we ought to think about it.

    If you’re stuck in the mindset of broad match being the “loosest match type,” you’re stuck in 2016, and that’s where problems like CPC inflation and irrelevant leads arise.

    Today’s broad match works within a system, collaborating with query matching, Smart Bidding, conversion signals, and optional tools like audiences and negatives.

    Google leverages broad match as a growth mechanism for Smart Bidding campaigns rather than a solitary reach tactic.

    In this article, I explore the changes, Google’s motivations behind them, and safe practices to maintain standards while using broad match.

    The real risk with broad match isn’t relevance, it’s direction

    Broad match tends to drift rather than fail completely.

    With shallow optimization goals, broad match coupled with Smart Bidding can find quick ways to meet them, sometimes resulting in:

    • Queries that trigger cheap forms without real sales potential.
    • Users who convert but never purchase.
    • Leads that look good in Google Ads but don’t end up profitable.

    Even when everything seems fine in the interface, the account might drift away from commercial intent.

    This illustrates why understanding broad match’s current behavior is crucial.

    What broad match actually is now

    Broad match no longer stands alone as a keyword setting but works within a larger optimization system.

    It’s built to work with Smart Bidding

    Google specifies that broad match is intended to run with Smart Bidding, as bidding decisions are now made during auctions using signals like:

    • Device
    • Location
    • Time of day
    • Query context
    • User behavior

    Broad match increases eligible queries. Smart Bidding evaluates which ones merit investment.

    Running broad match without Smart Bidding deviates from its intended design.

    Google has materially improved broad match matching

    Google claims that recent AI enhancements have uplifted broad match campaigns using Smart Bidding by 10%.

    This doesn’t imply broad match is inherently safe, but Google feels its matching layer justifies broader use.

    It’s no longer positioned as optional

    Starting July 2024, new Search campaigns activate broad match by default.

    The campaign-level setting enforces broad match when conversion-based Smart Bidding is active, marking a significant paradigm shift.

    Why Google wants advertisers to adopt broad match

    Google’s rationale is straightforward:

    • Search behavior is increasingly unpredictable and long-tail.
    • Manual keyword lists fail to keep up with language and intent shifts.
    • Machine learning can interpret intent at auction time better than rigid logic.

    Google positions broad match as a growth tool for Smart Bidding campaigns, providing algorithms with more opportunities to optimize for conversions.

    You might not agree with this philosophy, but when advertising on Google Search, you’re part of this system.


    A framework for using broad match without losing control

    Broad match expands your reach. Maintaining control requires thoughtful constraints.

    Conversion goals that reflect quality, not convenience

    Smart Bidding optimizes based on defined conversion actions and values.

    If your primary conversions are low-intent, broad match will scale this low intent.

    Successful setups often include:

    • Optimizing for deeper conversion actions.
    • Applying conversion values to identify lead quality tiers.
    • Importing offline conversions, like qualifying leads or revenue.

    This tackles the issue of associating cheap volume with success.

    Intent filters through audience signals

    Broad match identifies queries. Audience signals dictate ad visibility for those queries.

    Audiences should provide context, not just report data:

    • Customer lists favor known buyers.
    • Remarketing lists for measured expansion.
    • Audience insights to recognize quality-segment correlations.

    Even in observation mode, these signals help verify if broad match growth benefits the right areas.

    Negative keyword structures that scale

    With broad match, negative keywords transform from mere cleanup to structural elements.

    Effective accounts often include:

    • Account-level shared negative lists for terms like jobs, free, definition.
    • Campaign-level exclusions aligned with intent boundaries.
    • Regular search term reviews, crucial early on.

    Broad match naturally explores, while negatives determine its limits.

    Brand controls to protect intent

    Google’s brand controls can substantially reduce unwanted behavior in broad match.

    These controls include:

    These controls are handy when broad match starts overlapping with competitor intent or misaligned searches.

    How broad match succeeds and where it breaks

    A sensible rollout usually includes:

    • Choosing a campaign with effective tracking and enough conversion volume.
    • Aligning Smart Bidding with meaningful outcomes.
    • Launching with predetermined negative keywords.
    • Frequent search terms reviews in the initial month.
    • Verifying lead quality outside Google Ads before scaling.

    Broad match has potential and is beneficial if used wisely. However, it isn’t a simple fix.

    Failures often occur due to three common mistakes:

    • Choosing the wrong conversion to optimize: The algorithm follows your instructions meticulously.
    • Lack of a negative keyword system: Unchecked exploration becomes costly.
    • Judging success solely by platform metrics: CPC and CPA can look good, while revenue declines.

    Broad match is a system, not a setting

    Google favors a systemized approach to Search, moving from simple keyword management to a broader strategy.

    Control isn’t lost, but shifted.

    Successful broad match campaigns are defined by:

    • Clear quality definitions.
    • Deliberate intent constraints.
    • Success measured beyond the interface.

    If used judiciously, broad match can reveal new demand opportunities. Casual use, however, might lead you astray.


    Inspired by this post on Search Engine Land.


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  • Boost Your App’s Visibility: Apple’s New Search Ads in 2026

    Boost Your App’s Visibility: Apple’s New Search Ads in 2026

    I’ve heard that Apple plans to launch more ads within App Store search results in 2026, enhancing their ad inventory but maintaining their focus on relevance, not bid amount.

    What’s changing? New ads are set to appear in-line with App Store search results, sitting alongside organic listings. Existing top-result ads will remain. And guess what? There’s nothing we need to do to get into these new placements — bidding won’t help.

    What Apple is saying: According to guidance Apple shared with Apple Insider, relevance remains key: “If your app isn’t relevant to what the user is searching for, it won’t be displayed — no matter how much you’re willing to pay,” an Apple rep said.

    They also mentioned that apps irrelevant to a user’s query won’t even make it to the auction, regardless of bid size. While relevance and bids matter, relevance is the real gatekeeper.

    Why I care: As Apple expands its ad inventory, the competition might heat up, and this could affect how often ads show up during user discovery. Their relevance-first policy suggests that mere bidding isn’t enough, putting a premium on keyword strategy and creative finesse.

    Without placement control, aligning closely with user intent seems to be the winning strategy for better exposure.

    What I can control: The creative side still matters a great deal. Preparing multiple ad variations to align with different audiences or keyword themes can be a game-changer. If there’s no custom creative, Apple will auto-generate ads from the app’s product page.

    Billing stays the same: Apple confirmed no pricing changes. We’ll continue to pay per tap or per install, depending on our current setup.

    The big picture: Apple has been ramping up its ads business steadily. It added ads to the Today tab in 2022 and recently rebranded Apple Search Ads to Apple Ads, signaling its broader ambitions despite resisting traditional auction dynamics found elsewhere.

    The bottom line: Apple is increasing ad density in the App Store search but not advertiser control. More ads are on the way — just not the ability to buy your way into better positions.


    Inspired by this post on Search Engine Land.


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  • Google Ad Manager Relaxes Pricing Rules Amid Antitrust Scrutiny

    Google Ad Manager Relaxes Pricing Rules Amid Antitrust Scrutiny

    I’ve noticed that Google has recently made a significant change to its Ad Manager by removing the unified pricing rules. This change allows publishers like me to set different price floors for various bidders, potentially causing a shift in programmatic auction pricing.

    In practical terms, this means I can now specify that one buyer must bid at least $5 while others might have a lower minimum of $2. Interestingly, Google has also rebranded “unified pricing rules” to just “pricing rules.”

    Before 2019, I had more flexibility to set higher floors specifically for Google, which helped balance its data advantages. However, this was all put on hold when uniform pricing was mandated, a decision that didn’t go unnoticed by regulatory bodies in the U.S. and Europe.

    Why does this matter to me? With the return of bidder-specific pricing rules, the auction dynamics shift. Higher floors for certain buyers could influence win rates and CPMs, ultimately affecting my advertising strategies and inventory.

    Regulatory pressure seems to be a catalyst for this rollback. For instance, the U.S. accused Google of anti-competitive behavior, which resulted in proposals to end unified pricing. Meanwhile, Europe fined Google €2.95 billion, demanding it cease self-preferencing within the ad tech supply chain.

    According to Google, this update should simplify the process for publishers and advertisers like me to work with competing ad tech solutions, while aiming to minimize disruption. They view this as part of broader strategic changes across display, video, and app ads.

    Industry reactions appear positive. Jason Kint from Digital Content Next mentioned that the change brings meaningful relief, as unified pricing previously reduced yield. It also signals compliance with regulatory pressures, potentially averting stricter remedies.

    Ultimately, after more than six years, I feel like I’m regaining some control over the pricing in Google Ad Manager. This shift is less about Google’s product strategy and more about responding to intense antitrust scrutiny.


    Inspired by this post on Search Engine Land.


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  • Unlock the Power of Google’s PMax Channel Report

    Unlock the Power of Google’s PMax Channel Report

    For years, I’ve been fascinated by how PPC advertisers navigate the complexities of Google’s campaigns, especially Performance Max (PMax).

    While the automation behind PMax is impressive, the lack of transparency has often been a source of frustration for me and many others.

    Thankfully, Google has finally started to address some of these concerns with the introduction of the new Channel Performance report.

    ```json
{
  "alt": "Channel distribution table showing campaign data with clicks, impressions, interactions, conversions, and costs.",
  "caption": "Dive into your campaign's performance with detailed channel distribution metrics to enhance your advertising strategy.",
  "description": "This image displays a channel distribution table from a Performance Max campaign, detailing metrics such as impressions, clicks, interactions, conversions, conversion value, and costs across various platforms like Discover, Display, Gmail, Maps, Search, and YouTube. The table aids in understanding ad performance, providing insights into clicks, engagements, and overall effectiveness for optimizing marketing strategies. Source: Smarter Ecommerce."
}
```

    This guide is designed to help you understand the report, its benefits, and how you can leverage it effectively.

    The Channel Performance report represents a major shift in how we can view and assess campaign performance.

    ```json
{
  "alt": "Spreadsheet displaying channel performance data for various ad campaigns, including impressions, clicks, and conversions.",
  "caption": "Dive into the detailed performance metrics of your ad campaigns. This table showcases insights into impressions, clicks, and conversions, guiding your marketing strategy.",
  "description": "This image depicts a tabular display of channel performance data for ad campaigns. The table includes columns for impressions, clicks, interactions, conversions, conversion value, and cost. It highlights performance for campaigns with and without product data. This snapshot is integral for analyzing marketing efficiency and guiding strategic decisions in digital advertising. Keywords: ad performance, marketing data, campaign analysis."
}
```

    Located under Campaigns > Insights and Reports > Channel Performance (beta), it’s a pre-built network report offering tabular and flow diagram data.

    It’s currently exclusive to Performance Max campaigns but could potentially expand to other types in the future, hinting at a broader applicability.

    ```json
{
  "alt": "Channel performance data filter interface showing options for clicks, cost, conversions, and reports.",
  "caption": "Explore your channel performance with customizable columns for clicks, costs, interactions, and more. Fine-tune your analytics for September 2025.",
  "description": "This image depicts a data interface for channel performance analysis, allowing users to modify columns such as clicks, impressions, cost, interactions, conversions, and reports. Users can customize their view by selecting relevant metrics to drag and drop for reorder. The time frame is set from September 1 to 30, 2025. This interface aids in detailed performance analysis for ecommerce campaigns."
}
```

    Previously, getting insights into channel performance required tedious manual reports, or at best, third-party tools with limited capabilities.

    Now, the Channel Performance report provides a direct, Google-native solution to this problem.

    ```json
{
  "alt": "Sankey diagram showing ad conversions across channels like Discover, Display, and Search with costs and results.",
  "caption": "Discover the power of your ad channels with this insightful Sankey diagram, illustrating interactions and conversions across platforms like Discover, Display, and Search.",
  "description": "This Sankey diagram displays the conversion sources and efficacy of ad channels, including Discover, Display, Gmail, Maps, and Search. Key metrics shown are impressions, interactions, and results. Discover has a cost of $73.79, Display $12.96, and Search $4,585.49, with Search holding the highest share of cost at 91.46%. The results value for 'Purchase' is noted at $21,989.92. Source: Smarter Ecommerce (smec)."
}
```

    The report has two primary components: an account-level view and a campaign-level view, complete with a data table and a Sankey diagram.

    The account-level view offers a new perspective with a convenient table displaying campaign and channel metrics, making it easier to analyze at a glance.

    ```json
{
  "alt": "Channel performance report flowchart with data on impressions, interactions, and conversions.",
  "caption": "Decoding the Channel Performance report—a visual flowchart unraveling the intricate paths from impressions to conversions.",
  "description": "This image showcases a data visualization flowchart detailing a Channel Performance report. It illustrates the journey from 3,418,904 impressions through 53,910 interactions to 2,440.72 conversions. Various channels such as Discover, Display, and Search are analyzed for metrics like dynamic remarketing, responsive display, and video ads. Keywords: channel performance, data visualization, impressions, conversions, digital marketing."
}
```

    This view allows for sorting by different metrics, which is a handy way to compare and prioritize campaigns.

    My favorite feature is the ability to switch segments, offering insights into ‘ads using product data’ versus ‘ads not using product data’, which was a significant challenge in understanding PMax campaigns.

    ```json
{
  "alt": "Three-panel diagram titled 'Lack of proportion' showing the disproportion in impressions between asset-based and product-based ads on Search and YouTube.",
  "caption": "Explore the disparity in digital ad impressions: asset-based vs. product-based. These visualized figures reveal the significant difference in search and YouTube ad performance.",
  "description": "This image displays a three-panel diagram highlighting the imbalance in impressions between asset-based and product-based ads, titled 'Lack of proportion'. It shows a stark contrast with 4,492 impressions for asset-based ads versus 1,242,147 for product-based ads. The data indicates that asset-based ads account for only 0.36% of Search Network impressions, countering a common belief of around 17%. The diagram aims to offer clear visualization of digital ad performance between different types on platforms like Search and YouTube. Source attribution: Smarter Ecommerce (smec)."
}
```

    Upon switching to the campaign-level view, you’ll notice a striking Sankey diagram that visualizes user interactions from impressions to conversions.

    Though visually impressive, the data table below is more reliable for detailed analysis, showing performance metrics by channel and ad type.

    ```json
{
  "alt": "SMX introduces SPN with enhanced data segmentation in Google Ads performance reports, currently showing only impressions.",
  "caption": "Discover SPN: A notable move towards transparency in Google Ads. Currently, only impressions are available, but segmentation enhancements are on the way.",
  "description": "This image showcases a new feature coming soon to SMX: SPN, which enhances data segmentation in Google Ads Performance Max campaigns. The current interface includes icons for Google services and a highlighted section for channel performance data, showing only impressions. This update marks an important step towards greater transparency in ad reporting, emphasizing the future availability of segmented data for Search Partners. Source: Smarter Ecommerce (smec)."
}
```

    For a deeper dive, I recommend exporting the data and using it in spreadsheets for comprehensive analysis.

    However, the report has some drawbacks, like the misleading proportions in the Sankey diagram and lack of ratios in the data table.

    Despite this, it offers valuable insights into which channels are genuinely delivering results, enabling you to maximize asset and traffic quality.

    Utilizing placement data for quality control and customizing reports through Google Sheets can enhance your strategy.

    Google has promised future features like API access, which will expand the report’s utility significantly.

    As we continue to explore these insights, the challenge lies in accurately interpreting the data to make informed decisions.


    Inspired by this post on Search Engine Land.


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