Category: Google Ads

Unleash Google Ads Demand Gen for Maximum Impact
I understand that today’s consumers are constantly bombarded online.
I mean, I too find myself scrolling YouTube Shorts, tracking TikTok influencers, navigating Gmail promotions, and doubting if that viral Facebook video is real or AI-driven—all before I even have lunch!
The path from intent to conversion used to be straightforward, but now, in this attention-driven economy, making purchase decisions has become a complex affair.
Yet, many advertisers haven’t adapted to this reality. They still focus solely on search-based intent, missing out on entire audiences who don’t make it to the search bar.
Google’s Demand Gen campaigns are my secret weapon here, allowing me to escape this trap by fostering discovery and condensing the sales funnel.
Success isn’t complicated, but it requires mastering three elements: engaging creative content, strategic audience outreach, and rigorous testing methods.
The Demand Gen Opportunity
I see Demand Gen as the perfect blend of Google’s visual placements like YouTube, Gmail, and Discover matched with refined audience targeting and creative optimization.
Think of it as social advertising uniquely adapted for Google’s ecosystem. These campaigns tap into users’ browsing habits rather than their search activities, making them ideal for raising brand awareness.
Consumer behavior has undeniably shifted towards visual discovery, demanding more consumer touchpoints before sealing the deal.
YouTube, after all, is a largely visual platform and is now the second-most-used social media platform with a whopping 2.6 billion users worldwide.
In this new landscape, the purchase funnel is not only noisier but also more complex.
Unfortunately, many marketers still treat Demand Gen like search, expecting instant conversions—a mindset that misses the point.
To me, Demand Gen is about breaking consumption patterns, igniting interest, and nurturing intent over time.
Marketers who can shift their mindset will see their performance compound, growing stronger with each impression.
This is my go-to guide for nailing Demand Gen campaigns right from the start.
Element 1: Creative That Commands Attention
Thanks to modern tools, creating high-quality assets no longer requires expensive agencies.
And this matters—a lot. Visual content is a major conversion driver.
YouTube viewers are twice as likely to purchase something they’ve seen in a video and four times more likely to seek new products on the platform.
If advertisers don’t master visual storytelling, they’ll miss speaking the language of today’s consumers.
The Four-Part Framework for Demand Gen Creative
Crafting successful creative assets doesn’t have to be a guessing game. The best assets adhere to a four-part framework:
- Grab attention immediately: Capture interest within the first three seconds to stop that scroll.
- Build brand recognition: Maintain a consistent visual identity across all placements to fortify brand recall.
- Create emotional resonance: Make the viewer feel something meaningful.
- Provide clear direction: Guide viewers on what to do after watching.
Testing Creative Approaches
I believe testing is pivotal in refining creative content. Experiment with various types like educational, product-focused, and testimonial formats.
Educational content is great for awareness at the funnel’s top, while testimonials enhance consideration mid-funnel and product-focused creatives encourage conversion at its base.
Finding what resonates with your audience is key, and optimizing for each unique platform—what works on YouTube may not on Gmail—is crucial.
Dig deeper: Google’s Demand Gen upgrade: Key changes and success strategies
Element 2: An Audience Strategy That Matches Intent
I always think of audience strategy as an extension of creative development. Every audience is unique and should be addressed differently at various funnel stages.
Before spending a dime, I make sure to identify who my audience is and the actions I want them to take.
To do this, I start with the classic reporter’s questions:
- Who is your target audience?
- What are you trying to convey?
- Where do they find their information?
- Why would they care about your message?
Once audiences are defined, I align messages to their respective stages, aiming to guide them smoothly through the journey.

My goal is to nudge them to the next step without rushing them into a conversion.
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Audience Targeting Recommendations
After honing in on audience and creative message, it’s time to target them effectively within Demand Gen campaigns.
To start, I often create custom audiences, as they provide optimal control and granularity.
These can be built using keywords, URLs, or app usage, focusing on those most likely to take the desired action.
Happily, lookalike audiences have returned to Demand Gen campaigns, allowing targeting of prospects similar to existing customers.
Affinity and in-market audiences can also be targeted, enabling outreach to those with both broad interests and those in active consideration phases.
Campaign Structure Best Practices
When launching Demand Gen campaigns, I adhere to a few best practices:
- Start with separate campaigns for remarketing and prospecting as they have distinct goals and targeting options.
- Allow campaigns to run for 30 days at least before making changes.
- Consider dedicated campaigns for specific placements like Gmail, Discover, or YouTube.
- Test shorts-only campaigns, noting the format converts differently on mobile due to instantaneous decisions.
Consistent messaging and visuals across platforms is a must for building brand recall and reducing touchpoints before purchase.
Dig deeper: Google pushes Demand Gen deeper into performance marketing
Element 3: Testing and Optimization
Having set up my Demand Gen ads, it’s time to delve into testing and optimization.
Variables abound in these campaigns; hence, I meticulously test one element at a time for clarity and precision.
This endeavor isn’t about pinpointing one solution but focuses on persistent optimization. Trends change, and what works today may need tweaking in a few months.
Establishing Testing Parameters
I typically classify my testing into three main categories:
- Creative: Discover which creative elements resonate more. This could include content types, hooks, or video styles.
- Placement: Determine which approaches work where by testing on Gmail, Discover, and YouTube.
- Audience: Compare performances across differing audiences, such as custom vs. lookalike or remarketing vs. prospecting.
As I continue testing, performance trends inform future creative, messaging, and placement choices.
Consistently successful approaches allow scaling through budget increases for particular placements or audiences.
Set Realistic Time Horizons
Initial Demand Gen outcomes don’t reflect longer-term impact. Brand awareness takes time to build.
I advise allowing a 60 to 90-day period for campaigns to stabilize and gain traction.
Why Demand Gen Campaigns Fail
Failures in Demand Gen execution are rare. More often, it’s mismeasured and prematurely abandoned campaigns that falter.
This leads many away from Demand Gen entirely.
Here’s how I steer clear of prevalent missteps:
Unrealistic Expectations
Many start Demand Gen campaigns expecting similar returns to those of direct search campaigns.
Once those high expectations aren’t met, campaigns get abandoned.
The remedy is setting realistic expectations from the start.
Demand Gen builds brands and fills sales funnels, providing compound results if given the room to operate.
Measurement Myopia
This often accompanies unrealistic expectations. Relying solely on last-click attribution undervalues Demand Gen’s impact.
I suggest considering these alternatives:
- Use platform comparables: A Google Ads metric similar to social ads’ view-through method.
- Observation mode: Incorporate Demand Gen audiences into search campaigns to track if brand searches rise.
- Holistic brand metrics: Evaluate if brand growth is happening across channels, indicative of brand awareness.
If only last-click returns are considered, you undervalue your efforts.
Unrealistic Timelines
Don’t halt campaigns within 30 days if results disappoint, and avoid hasty changes.
I stay committed to a 60 to 90-day evaluation period while managing stakeholder expectations regarding timing.
Master Discovery to Win the Future
Attention is at its peak, and the progression of paid media leans towards visuals and discovery.
Brands sticking to search will face growth challenges.
Success in this terrain relies on three pillars:
- Engaging creative.
- Thoughtful audience targeting.
- Consistent testing.
Together, they foster performance and grow brand awareness.
The competitive edge will favor those mastering discovery today.
Large budgets aren’t essential for starting. Commitment to principles and patience with results suffice.
Demand Gen campaigns can embed your brand in your audience’s daily online life.

Inspired by this post on Search Engine Land.
November 20, 2025
Unlocking Google’s AI Max Potential: A Guide for Advertisers
I have been diving into Google’s AI Max for Search as it becomes more accessible in beta, and I’m exploring its impact on ad campaigns. AI Max is aimed at helping advertisers discover new conversion opportunities beyond their existing keywords, with a promise of clearer controls and measurable benefits.

The buzz around AI Max has led many advertisers, like myself, to evaluate its performance and its compatibility with our current keyword strategies. Ginny Marvin, Google’s Ads Liaison, has been clarifying precisely what AI Max is and is not.

Understanding the Purpose of AI Max

AI Max isn’t here to replace or overshadow your existing keyword structures. Its main objective is to unlock incremental conversions or additional conversion value.
- It extends your reach using broad match logic and keywordless matching, similar to DSA-style crawling of landing pages.
- Dynamic creative optimization is part of the package, including text customization and Final URL expansion to better align with user intent.
The Essentials

If a search query matches your existing keywords, those keywords will be prioritized. AI Max is designed to capture new searches that you might not currently be targeting.

Is AI Max Just a Rebranding? It’s a bit more than that, with improvements. AI Max combines broad match, DSA, generated text assets, and Final URL expansion into a streamlined system, offering enhancements like:
- Controls at the ad-group level, including locations and brands
- Enhanced search-term reporting, highlighting which creative assets and landing pages are used
- Upcoming features like text guidelines for better customization
Marvin believes that these components work more effectively together in AI Max than they do separately.

What to Anticipate Based on Your Current Setup
- Mostly Phrase/Exact users: Expect significant growth as AI Max leverages broader and keywordless capabilities.
- Heavy Broad Match users: Anticipate marginal expansion, since you already cover a broad area.
- DSA users: Experience less keywordless reach but gain improved performance with asset-driven signals absent in standard DSA.
- PMax-heavy advertisers: AI Max introduces PMax-style matching to Search, and many users still observe incremental growth.
Why CPA/ROAS May Differ. AI Max focuses on incrementality, leading to potentially higher costs for incremental conversions compared to core conversions from curated keywords.

Google advises not to view match types in isolation but to assess whether the overall campaign provides more conversions or value at your desired CPA/ROAS.

Why This Matters

For advertisers like myself, Google clarifies that AI Max is intended to discover incremental demand not attainable through traditional keyword settings, potentially leading to more conversions or revenue without needing a campaign overhaul. It merges broad match, DSA, and dynamic creative into one system with advanced controls and reporting, providing transparency and measurability.

The inclusion of A/B testing enables advertisers to confirm the validity of perceived gains.

Measuring Incremental Lift

Google now offers genuine A/B testing within AI Max experiments to compare control and treatment groups.
- Brand and location controls are not yet available in AI Max experiments.
- You can use Custom Experiments for those tests.
- Disregard the learning period when analyzing results.
The Overall View

AI Max is developed to engage new, pertinent demands that your keywords may miss. Evaluate its effectiveness by focusing on campaign-level incremental lift — achieving more conversions or conversion value at your target efficiency.

Google continues to enhance features and encourages advertisers to actively test and provide feedback.

Explore Further Full article by Ginny Marvin.

Inspired by this post on Search Engine Land.
November 19, 2025
Unlock True Conversion Insights with Google Ads’ New Metric
I’ve discovered something exciting in the realm of Google Ads—a new metric called “Original Conversion Value.” It’s quietly revolutionizing how advertisers, like myself, can gauge the real, unaltered revenue our campaigns produce.

Imagine seeing a new column, “Original Conversion Value,” in your Google Ads dashboard. This update gives us the chance to finally assess the true, unadjusted value of our conversions, cutting through all the noise.

How it works. Google’s approach is refreshingly straightforward:
```
Conversion Value
– Rule Adjustments (value rules)
– Lifecycle Goal Adjustments (e.g., NCA bonuses)
= Original Conversion Value
```
Why we care. For years, I’ve struggled alongside fellow marketers to extract genuine conversion values from the maze of Google’s adjustments—from Conversion Value Rules to Lifecycle Goals like New Customer Acquisition. This new metric simplifies the task of diagnosing performance, comparing data across campaigns, and identifying when automated bidding is inflating value rather than actual conversions.

In essence, it provides clearer insights, a more precise ROAS, and greater confidence in decision-making.

Between the lines:
- Value adjustments assist in navigating Smart Bidding.
- However, they can inflate figures, complicating reports and performance assessments.
- Many agencies and in-house teams have long requested a purer perspective from Google.
What’s next. I anticipate “Original Conversion Value” will quickly become invaluable for:
- Revenue reporting
- Post-campaign analysis
- Diagnosing inflated ROAS
- Auditing automated bidding strategies
First seen. The innovative update was first noticed by Google Ads Specialist Thomas Eccel, who shared his find on LinkedIn.

The bottom line. This update, albeit small, brings significant clarity. Google Ads is, at last, offering us a more transparent lens into the actual value our advertisements bring.

Inspired by this post on Search Engine Land.
November 18, 2025
YouTube’s Innovative Cost Adjustments Ease Ad Campaign Risks
Recently, I discovered that YouTube is experimenting with a beta feature designed to lower the costs of Demand Gen Target CPA (tCPA) campaigns that aren’t performing as expected. This new approach aims to maintain a tighter grip on CPAs during the often unpredictable learning phase, offering us advertisers a form of financial relief when early results aren’t as impressive as predicted.

Why this matters to me. This update provides me with a financial safety net at the start of YouTube campaigns, which is typically the most uncertain period where conversion predictions fluctuate dramatically. It’s quite refreshing to see Google taking a step to refund part of the ad spend voluntarily as a way to meet performance targets.

How it works from what I understand:
- The system keeps an eye on new Demand Gen tCPA campaigns during their initial learning stages.
- If conversions are not hitting Google’s forecast, it may recalibrate costs retroactively to align CPAs with my target goals.
- The adjustment kicks in within five days of launching a campaign and may last up to three weeks.
- There won’t be separate credits or line items; instead, I’ll notice the final reported cost has been subtly adjusted.
What this means for me as an advertiser. Google seems to be making an effort to reduce performance volatility in the beginning, allowing their algorithms more leeway to learn while minimizing my financial risk.

What I should watch out for. The eligibility for this feature largely depends on the quality of my account, how well tracking is maintained, and consistently following best practices. Even then, adjustments aren’t guaranteed and could only be applicable to certain days or specific campaigns.

The takeaway? For me, YouTube’s performance-based cost adjustment marks a small yet meaningful shift: Google is showing a willingness to share risk during the crucial learning period, making it smoother for us performance-focused advertisers to start our Demand Gen campaigns.

Inspired by this post on Search Engine Land.
November 14, 2025
Google Ads Enhances Accuracy with AI: 99% Appeal Success
I recently discovered that Google Ads has significantly improved its accuracy in handling advertiser account suspensions, thanks to the integration of Gemini AI. This fascinating technology has reduced incorrect suspensions by over 80%, and now 99% of appeals are resolved within just 24 hours.
For many of us who rely on Google Ads to connect with our audience and drive revenue, the frustration of mistaken account suspensions has been a major concern. It’s reassuring to see such a substantial reduction in errors.
By the numbers:
- Incorrect account suspensions are down over 80%.
- Suspension appeals are being processed 70% faster.
- 99% of appeals are resolved within 24 hours.
Why this matters to us. We depend heavily on uninterrupted access to Google Ads to reach our customers and keep our businesses thriving. Erroneous suspensions can seriously disrupt our campaigns and overall operations, particularly for smaller advertisers like myself.
How did Google achieve this?
- They clarified policy language to make compliance straightforward.
- They enhanced detection systems using Google’s Gemini AI to minimize false positives.
- They improved internal review and appeals processes to expedite the reinstatement of legitimate advertisers.
The bigger picture. Google Ads manages millions of accounts worldwide and constantly contends with threats from scammers and policy violators. Successfully balancing stringent enforcement with fairness remains a top priority—a goal Google is closer to achieving with these AI enhancements.
Want to learn more? Check out the Statement from Google Ads Liaison Ginny Marvin for an in-depth look.

Inspired by this post on Search Engine Land.
November 13, 2025
Google’s PMax Innovations: Integrating Twitter Videos in Ad Campaigns

When setting up my Performance Max (PMax) campaigns in Google Ads, I recently noticed something intriguing. Video assets from my Twitter (X) ad campaigns were popping up in the “Suggested” creatives section.
How it works:
The videos I found were seamlessly uploaded to a YouTube channel linked to my advertiser’s account.

A transparency message revealed the source of the data: “Videos from other ad platforms are sourced by third-party provider @Pathmatics (by Sensor Tower).”

Google prompts us to ensure we have the legal rights to use and distribute these videos through Google Ads.

What Google says: Google Ads Liaison, Ginny Marvin, has confirmed this feature is an experimental effort aimed at enabling advertisers like myself to easily incorporate our top-performing social video assets into Google Ads campaigns.

She clarified that this isn’t related to X (Twitter) ad inventory being made available on the Google Display Network.

Why we care. This experiment indicates Google Ads’ progress toward autonomously integrating assets across platforms. This could significantly decrease the time spent by reusing effective social campaign creatives. However, it does bring up concerns regarding data permissions, creative control, and transparency. These are aspects I’ll definitely be scrutinizing as automation in marketing deepens.
Between the lines:

This integration exemplifies Google’s increasing dependence on automation and partnerships to reduce creative barriers in PMax.

Involvement of Pathmatics points to the use of third-party intelligence in surfacing social ad assets, which raises new questions about data sourcing and control for advertisers like myself.
First seen. This update was first noticed by Performance Marketing Consultant Francesco Cifardi on LinkedIn.
The bottom line. Although this feature is still experimental, it showcases Google’s aspiration to make PMax not only automated but also highly asset-aware across various platforms.

Inspired by this post on Search Engine Land.

November 13, 2025