I recently discovered an exciting update from Google that’s set to revolutionize how we manage our ad spends. By allowing us to set a total campaign budget over specified days or weeks, Google now takes charge, optimizing spending without the need for constant tweaks on my part. This ensures my campaigns stay on track effortlessly.
With this new functionality, I can allocate a total budget for a campaign over a given timeframe, allowing Google to automatically optimize spending so that the budget is fully utilized by the campaign’s conclusion. Previously exclusive to Performance Max, this feature is now available for Search and Shopping campaigns as well, making daily budget adjustments a thing of the past.
Why I care. Handling budgets for short-term projects like product launches or sales can be quite a challenge. Historically, I’ve had to constantly tweak budgets to avoid exceeding them or not using enough. With Google’s new total campaign budgets, currently in open beta, this hassle is significantly reduced.
The bigger picture. This update empowers me to run campaigns with confidence, without the worry of overspending. Whether I’m running a short test over a few days or a promotional push over a month, the campaign total budget feature shifts my focus from budgeting to strategy.
Real-world impact. A great example is UK beauty retailer Escentual.com, which utilized this feature during promotions. They experienced a notable 16% increase in website traffic while staying within budget without negatively affecting ROAS. As Tom Jenkins, Insights Manager, aptly put it: “The campaign total budget feature helped us hit our traffic goals while staying on budget.”
Looking ahead. This feature simplifies campaign management, granting me more time to concentrate on achieving better results. For an in-depth look, check out this blog post discussing the feature.
I’ve noticed that YouTube has recently upgraded its Promotions tool, offering creators like us a smarter way to reach our audience. Now, we can target viewers based on their interests rather than just simple demographics like age, gender, or location. This change is making things more personal and effective!
What’s new: With the latest update, we can target specific interest categories, such as Food & Dining. These categories are crafted from aggregated, anonymized data, giving us insights based on viewing habits and search behaviors.
For example, if someone frequently searches for recipes and enjoys watching cooking videos, YouTube may place them within a food-related interest segment, allowing us to tailor our promotions more precisely.
How it works: YouTube uses patterns it detects across Google services to infer viewers’ interests, applying these insights on a broad scale while keeping individual data private.
Why this matters: As creators investing in promotional videos, we can now target audiences based on their true interests, making our ads more effective and as viable as traditional Google Ads.
The big picture: Historically, YouTube’s promotion tools have felt somewhat blunt, relying heavily on demographics. This new interest-based approach aligns with a full-funnel advertising strategy, making paid promotions notably appealing for:
Growing channels looking to build a dedicated audience
Established creators experimenting with new content formats
Brands working with creators to widen their reach
What’s next:
Currently, this feature is only available on desktop
We can expect a mobile rollout in the near future
First seen: This upgrade was first discovered by Google Ads Specialist Georgi Zayakov, who shared the news on LinkedIn.
Bottom line: YouTube is equipping us with better tools to connect with the right viewers. Instead of just increasing viewer numbers, we’re now closer than ever to narrowing the gap between creator marketing and traditional digital advertising.
I’ve recently noticed a wave of concern sweeping across Google AdSense publishers due to a sudden drop in earnings. Many publishers like myself have experienced a steep decline in eCPM and RPM by up to 70%. This unexpected turn of events has left us fearing another shock to our revenue streams.
Why this matters to me is simple: relying heavily on AdSense for funding operations makes me vulnerable to such sudden swings. When traffic flows and costs remain steady, a sharp revenue decrease poses a real threat to my sustainability.
The buzz in the community intensified late on January 14th, peaking through January 15th. From the U.S. to Europe, publishers reported drastic drops in both page RPM and eCPM. Interestingly, multiple sites within the same accounts felt the impact simultaneously, and some even reported that their ads had partially or completely vanished.
Publishers like myself have voiced concerns:
“My RPM dropped by more than 80% overnight.”
“Same traffic, same placements — revenue collapsed.”
“I used to earn $500 a day, now it’s $35.”
“Never seen figures like this before.”
The numbers paint a grim picture across various regions:
Germany (.de): –64%
France (.fr): –63%
Italy (.it): –76%
Spain (.es): –90%
U.S.-focused sites report drops of 35–70%
Digging deeper, the timing of these drops coincides with an unconfirmed Google Search ranking update. This connection raises worries that visibility shifts and monetization issues are overlapping — an unsettling pattern that I, with many others, have witnessed before.
There’s another twist. Google has recognized systemic issues within Google Ad Manager. These issues include:
Declining AdX match rates
Reduced delivery from Google Ads and DV360
The hardest-hit areas are web and mobile web display inventory.
However, a few critical questions remain unanswered:
Does the Ad Manager issue completely account for the AdSense revenue declines?
Is this all a reporting bug, an ad serving issue, or the beginning of a long-term monetization shift?
The indirect impact of AI Overviews, which currently display zero ads, is also a mystery.
In the broader context, it’s not just a recent occurrence for us; many publishers, including myself, have been experiencing a decline in revenue for months. Some have seen losses of 70–80% since mid-2025, driving fears that traditional content sites are being gradually deprioritized.
The bottom line is that, whether this is a temporary glitch or a sign of a continuing trend, we’re once again in a position of uncertainty — monitoring our dashboards with little clarity and even less control.
As an advertiser, I’ve recently noticed that Microsoft Advertising is kicking off 2026 with a fresh batch of updates tailored for search-centric marketers. These updates offer me better control, clearer insights, and more streamlined campaign management across their platform.
Driving the news. In their latest product update, Microsoft has rolled out enhanced Performance Max features, broadened audience targeting options, improved Google import processes, and automated more creative aspects of search ads.
The big picture. Performance Max remains at the heart of these changes. There’s a new customer acquisition goal available in open beta that lets me prioritize new customers or exclusively target them in PMax campaigns geared towards purchase goals. Additionally, I can allocate higher conversion values to new customers, which aids the system in optimizing for long-term growth over short-term revenue.
Alongside these goals, Microsoft has also expanded transparency and controls within PMax. They now offer share of voice metrics, including impression share and losses due to budget or rank, giving me a better understanding of competitiveness in Search and Shopping placements. Plus, asset group-level URL options and tracking templates allow for more granular measurement without needing to reorganize campaigns.
What’s changing under the hood. The process for importing from Google has become more seamless. PMax campaigns now support up to 50 search themes, and asset group imports have become more flexible, meaning that non-eligible images or auto-generated logos won’t block the rest of the asset group from being imported.
Beyond PMax, I’m excited that Content Targeting for Audience ads is now generally available. I can target specific Microsoft-owned placements like MSN and Outlook, or align ads with content categories such as Finance or Travel. A new reporting view also shows where ads actually appear, aiding in refining contextual strategies.
Why we care. These updates furnish me with greater command over how automation propels growth, especially in acquiring new customers. New customer acquisition goals and additional visibility in Performance Max make optimizing for long-term value easier rather than focusing solely on immediate conversions. With smoother imports and smarter creative automation, these advancements allow advertisers like me to enhance performance without giving up visibility or control.
On creative automation. Autogenerated assets are now being rolled out as a default setting for newly created Responsive Search Ads worldwide, excluding China and South Korea. Microsoft reports that advertisers using these assets witness around a 5% increase in CTR, as the system dynamically generates and tests more headlines and descriptions based on website content. Sensitive verticals remain opt-in only, leaving existing RSAs unaffected.
The bottom line.Microsoft Advertising’s January updates aim to make automation more user-friendly, quantifiable, and advertiser-friendly, particularly for those of us managing Performance Max across multiple platforms.
Recently, I discovered that Google is offering advertisers more control over data flow, which is especially helpful when user consent is limited.
Driving the news. There’s a new tool out called Data Transmission Control, appearing in Google Ads. This enhancement builds on Advanced Consent Mode by providing a more detailed approach to managing how advertising, analytics, and diagnostic data are shared.
What’s new. As an advertiser, I can now independently adjust the flow of advertising data, behavioral analytics, and diagnostic data. If ad_storage consent is not given, I have two choices: either allow limited data with identifiers removed (which still supports conversion modeling), or entirely block the data until consent is obtained. Interestingly, I can still allow behavioral analytics even if ad data is restricted, or choose to block it completely.
Where to find it. I found the setting hidden within Data Manager → Google Tag (Manage) → Manage data transmission. It’s easy to overlook if you’re not looking carefully.
Why we care. Traditionally, Consent Mode was all about reflecting user choices. Now, with Data Transmission Control, I can decide—right down to the tag level—what data flows when there’s no consent, aligning more closely with privacy-focused strategies.
It’s empowering to have this degree of control, especially when trying to balance privacy compliance against performance metrics, which is crucial in markets with strict regulations.
Key details. It’s important to note that Consent Mode must be enabled for this feature to function. It’s set up via the user interface in Google Ads, Google Analytics, or Campaign Manager 360, and applies only to Google tags. If the feature isn’t enabled, everything stays the same, but once consent is given, data transmission resumes automatically.
First seen. This update was first reported by Google Ads expert Thomas Eccel, who shared his insights on LinkedIn.
The bottom line. The introduction of Data Transmission Control provides a subtle yet powerful way for me to ensure tighter data collection control without fully losing out on valuable measurement capabilities.
I recently discovered that Google Ads is experimenting with a quicker way for new advertisers like me to get up and running. This advancement promises a seamless account setup experience by integrating pre-built campaigns.
Driving the news. Over the past few weeks, there’s been a buzz about a new setup option in Google Ads called “Create an account with campaign for faster setup.” It caught my attention when I saw others, including Anthony Higman, mention it on X. It seems to be a recent addition.
Why we care. Account setup has always been a potential roadblock for new advertisers like me. By offering a bundled account creation with a ready-to-go campaign, Google could significantly shorten the time it takes to launch, reducing the risk of stalling before I’m fully onboarded.
The big picture. Google aims to make onboarding simpler and quicker, pushing for more automated and pre-configured settings. This latest test highlights Google’s commitment to convenience and efficiency, which is exciting for someone looking to dive into advertising without the complexities of manual setup.
Between the lines. While this faster setup could be a huge help for advertisers just starting out, it might also limit my initial control over campaign structure and settings, particularly if I’m not yet familiar with Google’s automated recommendations.
What to watch. Google hasn’t officially announced this feature, indicating it could still be in a testing phase or gradually rolling out. I’m eager to see if Google decides to expand this feature based on its success in improving user activation and expenditure.
The bottom line. Google’s move to expedite advertisers’ journey to going live underscores a shifting priority towards speed, albeit with less emphasis on early-stage decision-making nuance.
I recently stumbled upon a not-so-obvious setting in Google Ads that might allow Google to insert unapproved images into location-based ads. This could be a headache for maintaining consistent brand visuals.
Here’s what’s happening: In the Shared Library under the Location Manager, there’s a setting called “Google Owned Location Data.” If active, Google can use imagery from its database, adding them to ads linked to your business locations without your direct approval.
Why it matters: While Google might promote this feature as a means to enhance performance, it risks introducing unwanted creative elements that haven’t been vetted—posing a challenge for advertisers who prioritize strict brand standards.
The broader context: Google Ads is increasingly automating creative aspects, extending its control beyond bid and targeting strategies. This change moves decision-making about visuals significantly into Google’s hands, particularly for those utilizing location extensions.
Implications: For brands with stringent creative rules, industries subject to regulation, or franchise operations, such settings can lead to mismatches or compliance issues, often without any warning.
Action steps: If you’re concerned about maintaining creative oversight, I recommend auditing the settings in the Location Manager within the Shared Library to see if “Google Owned Location Data” is enabled.
Discovery: Paid Media Analyst Conor Crummey first noticed this update and shared his findings on LinkedIn.
In summary: This is a subtle yet significant update from Google Ads for those who value controlling their creative output. Take the time to check your settings before unapproved content makes an unwelcome appearance in your ad campaigns.
Navigating a shaky economy and the rise of AI tools transforming entry-level jobs, my career in marketing sometimes feels precarious.
Yet, there’s hope for those ready to seek it.
As a marketer, embracing adaptability, critical thinking, and thoughtful AI integration means I can streamline workflows, refine strategies, and invest time in impactful initiatives.
This AI era is still unfolding, but over a decade as a marketing leader has highlighted enduring patterns.
Within my teams and our partnerships, certain PPC experts are better prepared to thrive as AI reshapes our roles.
1. Understand the tools, but think beyond them
The influx of new AI tools is overwhelming. What I’ve learned is to focus on understanding which tools to test and why.
Testing just for the sake of it leads nowhere.
Without a clear goal, knowing a tool in isolation holds little value.
Choosing tools wisely is just the beginning. Measuring results effectively and integrating tools thoughtfully into broader strategies is equally crucial.
I’ve seen AI tools embraced only to be neglected or cause issues when poorly integrated.
Thriving marketers in this era are strategists, not just users. They test with purpose and understand a tool’s role in the marketing mix.
2. Be a stubbornly critical thinker
AI tools can deliver outputs, but what’s next?
I’ve often seen outputs accepted without question. Standout marketers dig deeper, questioning assumptions and interpreting results.
Critical thinking also involves understanding ad platforms and algorithms as they evolve.
Experienced marketers, who have witnessed changes in ad systems, understand their impact on performance.
New marketers can develop this understanding by exploring platforms thoroughly.
3. Balance curiosity with discipline
Curiosity drives learning and creativity. However, balancing it with discipline is essential in an AI-driven world.
The abundance of tools and ideas can easily distract without a focused strategy.
Discern between what’s interesting and what’s truly impactful for defined business outcomes, such as driving pipeline or improving retention.
4. See the whole picture
AI excels at optimization.
However, it struggles with context, where I can set myself apart from both tools and peers.
AI may suggest strategies, but it won’t show how they fit into a company’s overall strategy.
Successful marketers view AI outputs through the lens of business objectives and audience behavior, beyond mere tool features.
5. Develop technical depth (not just surface skills)
While AI automates campaigns, it can’t substitute deep technical expertise.
On my team, those who excel dig deeper, addressing KPIs and comprehending the underlying reasons for performance.
Marketers successful in this era blend technical precision with creativity, interpreting data beyond surface-level insights.
This technical fluency builds trust and enables marketers to catch and correct AI missteps.
6. Stay skeptical of automation
Overconfidence in automation is risky.
This isn’t about mistrust but about careful management.
Just because AI can do something doesn’t mean it should without consideration.
Smart marketers establish guardrails, testing automation wisely and validating outcomes to support human insight.
7. Take ownership and accountability
AI can’t take responsibility. Anything shared with a client, be it AI-generated or not, is my responsibility.
This approach is vital.
In using AI for various tasks, accountability distinguishes professionals.
Before deploying AI-driven work, ensure it’s accurate, on-brand, ethical, and insightful.
If any of these aspects are uncertain, reconsider before risking your professional reputation.
8. Champion AI governance and brand safety
AI governance is essential for today’s marketers.
AI features from platforms present real risks concerning privacy and brand safety.
I ensure my brand’s integrity by setting clear AI usage guidelines internally and externally.
Responsibilities include reviewing data, establishing approval processes, and aligning AI content with brand standards.
Relying solely on IT for governance without direct involvement poses significant risks.
9. Measure what matters
AI can track everything, but not all metrics are valuable.
I focus on metrics that relate directly to business outcomes.
This often involves moving beyond basic metrics to assess comprehensive performance.
I’ve observed many cases where shifting away from surface-level successes leads to stronger results.
AI accelerates progress, but direction should align with genuine business goals.
10. Sharpen your soft skills
With AI leveling technical playing fields, human skills are the key differentiators.
In this automated landscape, it’s hard to showcase unique platform techniques. Instead, soft skills like emotional intelligence, storytelling, and communication are irreplaceable.
Marketers who hone these skills will preserve the human edge that turns AI capabilities into tangible brand value.
The mix that still defines great marketers
AI is transforming the marketing landscape.
The most successful marketers blend technical expertise with adaptability, critical thinking, accountability, and creativity in this new era.
Entering into the world of PPC advertising for 2026, I realize how easily we can be misled by trends. AI, creative scaling, and marketing models promised us efficiency, but often ended up costing more than delivering. So how can we reset our PPC priorities as we step into the new year?
In 2025, PPC advice revolved heavily around AI and glittering new tools, sounding both promising and expensive. We found ourselves succumbing to platform narratives rather than aligning with business needs, causing budgets to balloon without corresponding efficiency gains.
As 2026 dawns, it’s high time to break free from these outdated beliefs. This article highlights three PPC myths that looked appealing in theory and quickly spread in 2025 but often led to poor decisions.
My objective is straightforward: rethink priorities and avoid repeating costly mistakes.
Myth 1: AI Outshines Manual Targeting
We’ve been told countless times to trust AI for targeting while manual structures are deemed obsolete. But is that truly the case?
The truth depends on conditions. AI thrives on volume and quality signals. Without these, the AI delivers no meaningful results, just automated processes that mask poor performance.
For instance, ecommerce brands often find value in feeding purchase data back into Google Ads, assuming they generate enough conversions. Only then does outsourcing targeting to AI hold potential.
If your campaigns struggle with low conversions or rely primarily on lead optimization, manual intervention may still be necessary.
How to Reset Priorities
Before turning everything over to AI, there are critical questions to ask:
Are campaigns optimized against a business-level KPI like CAC or ROAS?
Do the ad platforms receive sufficient conversion data?
Are conversions reported promptly, with minimal delay?
If any answer is no, consider revisiting PPC fundamentals for 2026. Do not hesitate to apply traditional methods when needed. In 2025, I turned around a client’s fortunes by using match-type mirroring structures, even though it contradicted the common best practices.
The success was based on historical performance data:
Match Type
Cost per Lead
Customer Acquisition Cost
Search Impression Share
Exact
€35
€450
24%
Phrase
€34
€1,485
17%
Broad
€33
€2,116
18%
Here, Google Ads did exactly what it was told—focus on lower cost per lead, disregarding business impact like KPIs.
I regained control by focusing on high-performing audiences with unsaturated potential, via exact match keywords. If you’re unfamiliar with traditional structures, advanced semantic techniques can offer an excellent starting point without over-reliance on automation.
Myth 2: More Ads Lead to Better Results
This myth frustrates me as it sounds logical but rarely pans out. The argument is simple: more creative variation equates to better ad auction performance. But more often, it increases creative costs without the promised results, helping agencies more than advertisers.
Creative volume adds value only when backed by high-quality conversions. Without them, extra ads only mean more materials rotating meaninglessly.
How to Correct Course
True value still lies in creative diversification that matches messages to audiences and contexts. This isn’t a novel concept. The same principles apply:
Have a strategic approach to creative testing; testing without intent is wasteful.
Plan measurement in advance to avoid setting yourself up for failure.
Ensure business-level KPIs are present in enough volume to make a difference.
When resources are tight, rotating ads without direction is common. Focus on Conversion Rate Optimization (CRO) instead:
Enhance tracking for better performance.
Refine customer journeys to boost conversion rates and signal volume.
Align higher-margin products with more efficient spending.
Explore new networks or channels with saved creative budget.
Myth 3: MMM Will Offer Clear Clarity
Finding 10 marketers who believe GA4 is effective is challenging, indicating Google’s missteps. The misalignment with ad platform data breeds mistrust, leading to the belief that advanced solutions are needed. Yet, this often results in higher costs with average outcomes.
Most brands don’t have the scale required for Marketing Mix Modeling (MMM) to yield insightful results. Instead, it’s best to master existing tools.
The usual brand setup looks like this:
Concentrated media spend across a handful of channels, mainly Google and Meta, with YouTube, LinkedIn, or TikTok as extras.
Reliance on a narrow but consistent customer base, risking long-term stability.
Marginal marketing impact beyond the core audience.
In such settings, MMM adds abstraction, not clarity. Staying grounded in fundamentals remains vital, not modeling complexities.
Strategies to Add Value Instead
Before considering advanced tools, ensure you’re getting the basics right:
Stand out clearly from competitors.
Boost margins, even with simple budget plans.
Build a strong data foundation, emphasizing tracking, CRO, and conversion paths.
Expand your channel or network options.
Align creative execution with genuine customer pain points.
Smooth out any marketing execution kinks.
While advanced tools gain importance with complexity, deploying them too soon obscures accountability rather than offering real insights.
The True Issue Lies in Misuse
The thread linking these PPC myths isn’t the capabilities like AI, creativity, or analytics—it’s how they’re misused. Platforms fulfill the roles they are set for, optimizing within the provided signals and limitations.
Business fundamentals are what break in these scenarios, rather than AI fixing our problems.
Instead of pursuing the next shiny distraction, 2026 should be about focusing on core business strategies and executing with precision for profitable scaling.
