Paid Search

Google Ads 2026 Interface Updated: What Changed, Where Everything Shifted, and the Features that Actually Matter

If you're running Google Ads in 2026, you've probably logged in and thought: "Wait, something's different here.”

You're not wrong. Google didn't announce a big redesign, but they quietly reorganized the entire interface around AI tools, creative management, and full-funnel measurement. Some features moved. New hubs appeared. And if you're not paying attention, you're missing tools that could actually move the needle.

The changes reflect a bigger shift: search behavior is evolving, AI is disrupting how people research, and the old playbook isn't enough anymore. Let's break down what actually changed in the interface, where Google shifted things, and which new features matter in 2026.


Why 2026 Feels Different

Search behavior is changing fast.

People are increasingly leaning on AI tools like ChatGPT, Google’s AI experiences, and ad advisors to do their research. That means fewer traditional searches, fewer clicks, and more competition for the searches that still show strong buying intent.

If you think you're imagining the drop in clicks, you're not. Search Engine Land tracked CTR falling 61% for organic and 68% for paid since AI Overviews launched. Informational searches dominate, while high-intent clicks, the ones worth paying for, are getting scarcer and more expensive.

If your business is just chasing clicks, you’re going to struggle. But the foundation hasn’t changed: relevance still wins. Ads that clearly match user intent and promote a proven offer continue to perform, even in a more competitive environment. Think of it like this: AI is doing a lot of the research for your potential customers. If your campaign isn’t optimized for that, you’re invisible.


What’s New in the Google Ads Interface

Performance Insights Are Deeper and More Actionable

Performance reporting now breaks down across eight channels: Shopping, Search, Display, YouTube, Gmail, Discover, Maps, and Partners. Translation? You can finally see where your conversions are actually coming from, especially for video campaigns where YouTube and Display Network performance were always a black box.

The upgrade isn't just more numbers. You get:

  • Expanded performance metrics

  • Asset level and channel level visibility

  • AI-driven recommendations surfaced closer to key decision points

This is especially noticeable in Performance Max, where reporting helps explain why performance is changing, not just what happened.

YouTube & Demand Gen: Measuring Brand Impact

Google is rolling out Attributed Brand Searches, which will show whether users search for your brand after viewing video ads.

Even if video doesn’t drive immediate conversions, you’ll be able to see its downstream impact on branded search behavior.

AI Chatbots Are Everywhere Now

Google went all-in on AI chatbots. Both Google Ads and Analytics now have chat assistants that surface insights and recommendations. They're helpful, but they don't take action, you still have to do the work.

The bigger shift? Support. The direct support form is gone, replaced with an AI chatbot that fields all inquiries first. Human reps still exist, but good luck getting past the bot without going through its troubleshooting routine first.

Creator and Video Tools Have Their Own Space

Video just got its own hub. The Creator Partnership Hub gives advertisers a dedicated place to:

  • Discover YouTube creators

  • Explore creator led video content

  • Align video strategy with Demand Gen and YouTube campaigns

This isn't subtle: video and creative aren't optional anymore. They're core to performance.

What This Means for Your 2026 Strategy

The interface updates point to where Google thinks the game is headed. Here's what to prioritize:

  • Use channel-level reporting: Performance Max finally shows you which channels drive results. Stop guessing, start optimizing based on actual data.

  • Set up brand search tracking: If you're running video, use Attributed Brand Searches to prove video's impact beyond direct conversions.

  • Get serious about video creative: Google built a whole Creator Partnership Hub. That's not a hint, it's a directive. Video isn't supplemental anymore.

  • Adapt to AI search behavior: Fewer clicks, higher CPCs, more AI-driven research. Your campaigns need to show up in AI results, not just traditional search.

  • Track the full funnel: With longer conversion paths and AI doing the research, you can't just measure last click anymore.

Revel Marketing Partner’s Bottom Line

2026 isn't about learning a new interface. It's about adapting to how people actually search now, with AI doing the heavy lifting and fewer clicks to go around.

The advertisers who invest in video, use the new reporting tools, and optimize for AI-driven search will win. Everyone else will wonder why their CPCs keep climbing while results stagnate.

SOURCES

2026 Digital Marketing Trends: Expert Predictions for Paid Media & Ecommerce

2026 Digital Marketing Trends: Expert Predictions for Paid Media & Ecommerce

Every January, the digital marketing world floods with predictions: some insightful, many recycled, and a few wildly off base. But 2026 feels different. We're not just watching incremental platform updates or minor algorithm tweaks anymore. We're witnessing fundamental shifts in 2026 marketing trends: how consumers discover products, how platforms deliver ads, and how marketers prove their work actually matters. The gap between brands that adapt and those that cling to old playbooks is about to become a chasm.

So we asked our team at Revel Marketing Partners where they think the industry is headed this year. What follows isn't speculation from the sidelines. These are predictions from the directors and leaders who are already navigating these changes with our clients, and who have strong opinions about what's coming next.

Revel Marketing Partners’ 2026 Digital Marketing Predictions

AI and Headless Commerce Are Reshaping the Shopping Experience

Kayla Faires, Founder & CEO:

"The future of digital marketing is about rebuilding infrastructure so you can move as fast as the platforms change. Two shifts are converging: headless ecommerce architectures, and agentic search systems where AI answers questions and makes recommendations before consumers reach your brand. Creative velocity and experimentation speed now determine ROAS, and legacy platforms are making it harder and harder to deliver. At the same time, discovery is shifting from queries to AI-mediated recommendations. Brands will compete less on keyword ownership and more on structured, machine-readable truth: clean product data, pricing logic, availability, and positioning that agents can interpret and recommend. As automation increases, judgment becomes the differentiator. The winners will pair flexible infrastructure with authentic brand building. Brands that actually stand for something and show their authenticity, while also leaning into new tech will compound advantages while others optimize yesterday's funnel."

Michele Keating, Account Director:

"Short-form video, AR try-ons, and creator demos won't just support ecommerce—they'll replace traditional PDPs. Live shopping will become the default, and UGC becomes the most trusted conversion asset."

AI-Powered Search and the End of Traditional Search Behavior

Abby Peterson, Director of SEM:

"2026 will mark the inflection point for paid search as AI advertising platforms fundamentally compress the user research journey. What once took 10+ searches now happens in a single ChatGPT conversation. Google Paid Search will remain a revenue powerhouse, but declining traffic volumes and intensifying CPCs will force a strategic reckoning: we can no longer afford to bid broadly. Success in this new landscape belongs to marketers who get ruthlessly selective with keyword targeting, double down on high-intent bottom-funnel terms, and maximize every click with precision audience strategies. The brands that will win aren't fighting this shift, they're adapting their strategies across both ecosystems while search is still profitable."

Brandon Elston, Paid Media Specialist:

"Brands that invest in GEO to appear in LLMs like ChatGPT & Gemini, will finally see a noticeable impact on purchases, especially from new customers. With the introduction of Universal Commerce Protocol (UCP) and direct integration of ChatGPT to Shopify, it is becoming increasingly more beneficial for consumers to shop on LLMs compared to search engines. This is because users can shop products across brands and make a purchase all in one ecosystem without browsing dozens of sites for inventory, products, or to find the best deals. A survey from Centerfield last year showed that the top 3 reasons users shop with AI are getting answers to product questions, comparing products or brands, & getting product recommendations, all top of funnel discovery type searches that could lead to discovering new brands and products."

Raw Creativity and Authenticity Will Beat AI Perfection in 2026

Paige Baugnet, VP of Client Services:

"I predict that we'll continue to see authentically raw and unpolished creative perform exceptionally well in 2026 as a direct counter to AI-generated perfection, particularly as consumers become increasingly skeptical about distinguishing real from fake content. In a digital landscape saturated with polished, algorithm-optimized visuals that all start to look eerily similar, people will actively crave authenticity and realness—the imperfect lighting, the shaky camera work, the unfiltered moments that signal genuine human creation. Brands that lean into this 'intentionally unpolished' aesthetic beyond the existing creator playbook will likely see stronger engagement and trust metrics, as audiences reward the vulnerability and transparency that comes with content that feels unmistakably human."

Jessica Shepherd, Chief Operating Officer:

"In 2026, the digital marketing industry will feel the real disruption not through job loss, but through the loss of excuses for mediocre thinking. As AI makes execution cheap, taste becomes a true competitive advantage—especially for beauty, fashion, and lifestyle brands where differentiation lives in nuance, not volume. The biggest brand risk won't be getting AI wrong; it will be sounding like everyone else who got it 'right.' That's why human review will increasingly serve as the new quality assurance layer—not to slow creativity down, but to protect brand distinctiveness in an automated world."

Marketing Mix Modeling, Diversification and the Shift to Incrementality

Amanda Moorhead, Account Director:

"2026 is going to be all about incrementality and accurate measurement for marketing. Last-click attribution isn't telling enough of the story, privacy changes are throwing a wrench into reporting, and relying on the same old methods is going to bring lackluster results. The brands that will unlock growth are those who can answer one critical question: 'What actually moved the needle?' That's why I'm excited to work with my clients on implementing MMM tools and diversifying their media mix. The future isn't about which touchpoint gets credit—it's about proving which dollars are truly incremental."

Gretta Schultz, Director of Paid Social:

"2026 is the year digital marketing finally gets its "infrastructure" right - better measurement, smarter and more consistent/reliable automation, and creative journeys that prioritize sustainable growth over quick wins."

RMP Affiliate Marketing Team:

"We predict affiliate programs will prioritize channel diversification and robust partner vetting following high-profile removals like PayPal Honey, while navigating increased FTC enforcement under the Consumer Review Rule that rewards proactive compliance. We expect the industry to accelerate its shift from last-click attribution toward outcome-based models that credit partnership contributions, as both affiliate and creator marketing mature with greater emphasis on measurable ROI over vanity metrics. Affiliate publishers will continue expanding beyond Google Search dependence through multi-channel strategies spanning social platforms, direct traffic, and emerging opportunities like OpenAI's ChatGPT ads. Meanwhile, long-term creator partnerships will become the standard as brands recognize the value of sustained relationships, with emerging content formats and technologies requiring affiliate programs to evolve their partnership structures and compensation models accordingly."

What This Means for Your 2026 Strategy

The through-line in all of these predictions? 2026 rewards the strategic over the reactive. Whether it's demanding proof of incrementality, embracing rough authenticity over AI polish, adapting to compressed search journeys, optimizing for AI-powered discovery, or protecting brand voice in an automated world, the brands that will thrive are those willing to challenge their assumptions and evolve their approach. The tools are getting smarter, the platforms are getting more automated, and the consumer is getting more discerning. Your strategy needs to keep pace. At Revel Marketing Partners, we're not just watching these shifts happen. We're actively helping our clients navigate them. If any of these predictions hit home and you're wondering how to adapt your own marketing strategy, let's talk. Because the future isn't something that happens to you. It's something you build toward, one smart decision at a time.

Paid Search in 2025: Less Control, More AI, and the Lessons That Matter for 2026

If 2024 was the year Google introduced AI-powered campaigns, 2025 was the year they became the preferred path.

Google did not just roll out new features. It changed how paid search works. Automation moved from helpful to expected. Manual controls shrank. AI stopped assisting and started choosing. Google's message was consistent: Smart Bidding and AI-driven campaigns deliver better results. The problem? Automation didn't guarantee success. Advertisers with strong fundamentals saw impressive gains. Those without them lost ground quickly. The difference came down to understanding what Google's automation actually required, and what it couldn't fix.

2025 Was the Year AI Took the Wheel

Google’s direction was clear throughout the year: manual options are becoming increasingly limited, while AI-powered campaigns are taking center stage.

Enhanced CPC disappeared. Call-only ads got a sunset date. Campaign creation flows nudged advertisers toward automated formats. The message was consistent. This is where paid search is going.

At the center of it all was Google’s Power Pack approach: Performance Max, Demand Gen, and AI Max for Search.

Performance Max continued expanding as the all-in-one campaign type. Demand Gen evolved as a discovery-focused channel. AI Max entered as a Search feature suite promising broader reach through keywordless matching, automated copy, and dynamic landing pages.

For accounts with clean conversion tracking and strong first-party data, results improved. For accounts without that foundation, performance became harder to control.

AI did not fix broken setups. It amplified them.

The Cost of Automation

Google framed 2025 as a year of efficiency. Advertisers felt the cost side more clearly.

Average cost per lead increased year over year, with some verticals, such as retail, seeing 40–50% increases in CPCs over the past five years. While reporting improved, automated campaigns still required a level of trust many advertisers weren’t prepared to give.

Performance Max remained the clearest example. Even with improved reporting, the system required trusting algorithmic decisions over manual intervention. When results dipped, the solution was often to wait for the system to learn rather than make strategic adjustments.

Automation delivered scale, but it demanded surrendering control. In 2025, advertisers had to decide whether that tradeoff made sense.

Brands with authentic, involved, and vocal communities saw significant performance improvement. Brand communities also benefit the brand by providing endless UGC, instant feedback, and primed audiences to assist paid social efforts. 

What Actually Worked in 2025

AI Overviews Opened New Visibility, With Limits

Ads expanded into AI Overviews across more devices and regions. When they appeared, they mattered. These placements show up before users scroll and influence decisions early.

The challenge was consistency. Advertisers could not control when AI Overviews appeared or measure performance in a meaningful way. There was no way to optimize directly for them.

We treated these placements as incremental upside, not a strategy to chase. Strong fundamentals helped. Weak ones did not.

Performance Max Became More Practical

2025 was the first year Performance Max felt usable at scale.

Search term visibility improved. Channel-level reporting became clearer. Asset-level insights actually helped guide optimization. The controls that had always existed, negatives, demographics, search themes, finally had the transparency needed to use them effectively.

When paired with strong feeds, varied creative, and active management, Performance Max delivered. When treated as a set-it-and-forget-it solution, it consistently underperformed.

Creative Became a Performance Requirement

Google’s creative tools removed friction. Asset Studio and in-platform generation made it easier to produce volume quickly.

That mattered because automated campaigns need creative variety to work. Headlines, images, and video now directly influence performance.

The catch was quality. Some AI-generated creative worked well. Some felt generic or off-brand. In testing, assets generated without brand guidance often drove lower engagement and shorter performance windows. When creative inputs were structured and reviewed, we saw stronger CTRs and more stable conversion rates. AI helped scale output, but human direction made the difference.

The brands that performed best used AI for speed, not strategy. Human direction still matters.

Clean Data Became Non-Negotiable

AI-powered campaigns exposed data weaknesses.

Accounts with accurate conversion tracking and proper value assignment outperformed those without by margins exceeding 2x in many cases. Duplicate conversions, missing values, and weak signals led to inefficient bidding and unstable performance.

First-party data like Customer Match helped strong accounts get stronger. It couldn't fix broken fundamentals.

What Didn’t Work and Why It Matters

Blind Adoption of AI Max for Search

AI Max for Search launched in beta with significant buzz, but our early testing revealed clear limitations.

We saw irrelevant keyword matching, exclusions that were not always respected, and clunky setup flows. Automated copy sometimes missed brand intent entirely.

AI Max for Search showed promise as an expansion tool, not a replacement. Used carefully, it uncovered incremental volume. Used blindly, it created noise.

We will continue testing AI Max for Search in 2026, but with guardrails firmly in place.

Treating Performance Max as a Cure-All

Some advertisers tried to consolidate everything into Performance Max. Results usually suffered.

Performance Max excels at scale. It struggles with nuance. Brands with complex catalogs, promotions, or seasonal priorities still needed structured Search and Shopping campaigns.

The strongest accounts used Performance Max alongside other campaign types, not instead of them.

The Control Paradigm

The control paradox isn't going away. Google will continue removing manual options while adding "controls" that operate within automated guardrails.

The creative tension will intensify. As AI generates more assets, brand consistency becomes harder to maintain at scale.

AI optimizes for metrics. Brands care about positioning and voice. Those priorities do not always align.

Revel Interactive’s Bottom Line

2025 made one thing clear: automation is not the problem. Blind automation is.

The advertisers who succeeded weren't the ones who followed every Google recommendation. They were the ones who understood the systems, tested them critically, and intervened when automation couldn't account for business nuance.

2026 will reward that same approach. Clean data, varied creative, and strategic oversight will separate strong performance from mediocre results.

AI is powerful, but it still needs direction. The future of paid search isn't choosing between humans and machines, it's knowing how to use both well.

Sources

Highlights from the Paid Search Association Conference 2025

The Paid Search Association recently held their 2025 digital conference featuring a full day of sessions from the industry’s top speakers from around the world.  The event covered a wide range of topics ranging from display, video, search, artificial intelligence, & more.  We wanted to share our top takeaways from the conference and how advertisers can make the most of the insights shared.


A big theme of the day was without a doubt AI.  Multiple sessions including those from Fred Vallaeys & Mike Rhodes covered ways to integrate AI into paid marketing. For example, Mike discussed how to use AI to help create intricate scripts to help gain valuable insights into paid ad accounts. Fred shared a number of advanced ways to utilize AI like using search terms to then suggest blog ideas and creating different personas to provide feedback from various points of view.  However, the session that stayed with me was the one that kicked the event off by Ameet Khabra.  Her topic surrounded AI in PPC and where AI shined vs where humans shined.  The cases Ameet shared included one where they put AI up against a copywriter to see who could produce the top performing ad copy, spoiler the human won.  She also shared how AI is able to help scale the ad creation process for businesses.  Ultimately Ameet’s presentation wasn’t about one being better than the other, but that together marketers can play off AI’s strengths while injecting our own knowledge of our client’s businesses and best practices to drive the best results.  


If you’d like to dive deeper into AI and how to rank in AI results be sure to read this article on Generative Engine Optimization.


Another topic I found interesting is Navah Hopkins’s presentation on challenging PPC biases with data.  A key value we share at Revel is strategic impact, which means we are constantly looking at the data to identify actionable insights we can use to achieve our goals, which aligns perfectly with Navah’s topic.  She started the discussion defining biases and why people might have them when it comes to their PPC advertising, examples such as, information delivered from a supposed “expert” or a norm in the industry that people are comfortable without questioning.  Navah then went on to dispel multiple common beliefs in the PPC industry, backed by data from Optmyzr.  


One example of a bias in PPC is search ad capitalization.  In every agency I have worked at, the best practice has always been to write all search ads in title case, capitalizing the first letter in every word of an ad.  With Navah’s data she shared, it showed that sentence casing, capitalizing the first letter of every sentence in an ad, overall performed better than title casing!  This and the other data she shared has been a great conversation starter for our teams internally identifying other biases we would like to test against the data we have for our clients.


The day closed out with a presentation from Ginny Marvin, Google’s Ad Liaison, on Google Ads in 2025.  In PPC everything is constantly evolving and Ginny was able to share a recap of some of the recent changes to Performance Max & Demand Gen campaign types.  While she wasn’t able to share any brand new updates with us, she did say that with AI overviews playing a more critical role in the SERP, Google is testing new ways to deliver the best value for users and advertisers. Also, to keep an eye out for new ways to reach users in the near future.


With that, the PSA Conference 2025 came to a close.  We greatly appreciated hearing from such a fantastic group of speakers and look forward to next year’s event!  To watch the full 2025 conference be sure to visit the Paid Search Association’s YouTube channel and for other digital marketing news stay tuned to the Revel Interactive blog.

 

Photo: © ChristianChan from Getty Images

Optimizing A Google Merchant Feed: A Strategic Roadmap for Success

Optimizing A Google Merchant Feed: A Strategic Roadmap for Success

In the ever-evolving landscape of paid media, change and the constant shift toward automation can be daunting. We at Revel like to reframe this from a “loss of control” to the campaign potential that opens up when we master what we can control. Enter: inputs. Acknowledging the pivotal role of inputs, especially a high-quality data feed, is the first step to optimizing your PPC campaigns, be it on Standard Shopping or Performance Max.

The Best Google Ads Extensions for Ecommerce Businesses

The Best Google Ads Extensions for Ecommerce Businesses

Revel Interactive has worked with dozens of ecommerce businesses over our 11+ years of service. More often than not, Google Ads is an essential part of any paid media mix, especially when it comes to ecommerce businesses. Google Ads has the ability to reach users that are actively shopping for products like yours, and has advanced bidding strategies to help your ads show to users likely to purchase. While anyone can set up a Google Ads campaign, it takes years of experience to know which settings will make or break your business.