I see Google rolling out new Agency Admin and Standard roles in Merchant Center for Agencies, giving agencies a more centralized way to control client access while improving security and day-to-day efficiency.
What is new: I can now look at client access differently because clients are linked directly to an agency instead of being tied to individual users. That makes it easier to manage permissions from one place, especially when team members join, move roles, or leave.
I also see custom labels becoming a useful part of this update. Agency Admins can organize client accounts by brand, business vertical, internal team, or another structure that fits how the agency works.
Those labels can then be used to give Standard users access to groups of accounts in bulk. For me, that is the practical improvement: agencies no longer need to configure access one account at a time when the same permission logic applies across multiple clients.
Why I care: Agencies managing several Merchant Center accounts have often had to depend on user-level permissions, which can make onboarding, offboarding, and account management more cumbersome than they need to be. This role-based structure moves client management to the agency level, which should reduce administrative work and strengthen access controls.
How it works: Agency Admins get full administrative privileges inside the Merchant Center agency account. In that role, I can link and unlink clients’ Merchant Center accounts, add or remove Standard users, modify Standard users, manage their access to client accounts, and create custom labels for organizing clients.
Standard users receive more limited permissions, which helps agencies follow stronger security practices. I see this as a way to make sure team members only access the client accounts they actually need.
Bottom line: For agencies managing large client portfolios, I expect centralized client linking, bulk access management, and customizable account labels to reduce manual work while making Merchant Center administration more secure and scalable.
I’m seeing an important shift for Standard Shopping campaigns: Google is bringing Maximize Conversion Value bidding to these campaigns without requiring a Target ROAS. That gives advertisers more room to pursue value-based optimization without immediately being locked into a specific return target.
What’s happening. Google is rolling out Maximize Conversion Value bidding for Standard Shopping campaigns, and advertisers no longer have to set a Target ROAS to use it.
Before this update, if I wanted to optimize around conversion value in Standard Shopping, I generally had to use a Target ROAS bidding strategy. Now, this new option lets campaigns focus on maximizing conversion value while giving Google’s bidding system more flexibility to find the highest-value opportunities.
Why I care. This matters because I can now use Google’s value-based bidding in Standard Shopping without being constrained by a Target ROAS goal. That gives me more flexibility while preserving the control and transparency that many advertisers still prefer in Standard Shopping campaigns.
It may also reduce the need to run feed-only Performance Max campaigns just to access Maximize Conversion Value bidding. For advertisers who prefer tighter campaign control, that is a meaningful change.
Between the lines. I know many advertisers have continued to favour Standard Shopping because it offers more visibility and control than Performance Max. But when they wanted flexible value-based bidding, they often created feed-only Performance Max campaigns as a workaround.
With this update, that workaround may no longer be necessary for some accounts.
Why advertisers should care. I can now combine the structure and transparency of Standard Shopping with a more flexible automated bidding strategy. In practical terms, this could simplify campaign setups, reduce unnecessary Performance Max usage, and make account management cleaner.
The bottom line. Google is narrowing one of the biggest feature gaps between Standard Shopping and Performance Max. For me, this gives advertisers another reason to keep using Standard Shopping while still benefiting from automated value-based bidding.
First spotted. Performance marketer Yash Mandlesha spotted the update and shared the option on LinkedIn.
I think every PPC professional has at least one mistake they wish they could erase. For Danny Gavin, founder of Optidge, it was not a failed bidding strategy, a blown budget, or a campaign that never found its footing. It was something much simpler, and in many ways, much more painful.
When Danny joined me on PPC Live The Podcast, he shared the story of a technical issue that kept landing page leads from reaching the client. For one to two months, the campaigns were still generating qualified prospects, but the client believed nothing was working because those enquiries never appeared in their inbox.
The mistake that no one spotted
At the time, Danny’s agency was still small, with only a handful of people managing client accounts. One client, an autism therapy provider, appeared to be getting strong results inside Google Ads.
Clicks were rising. Cost per lead looked healthy. From inside the ad platform, everything pointed to success.
But the client was growing more frustrated because no enquiries were coming through.
The problem was not Google Ads.
It was not the landing page.
It was the email notification system.
Every form submission was being stored correctly in the database, but a technical failure stopped the notification emails from reaching the client. Because neither side realized those emails had failed, the issue went unnoticed for weeks.
By the time the problem was found, dozens of leads had already gone cold.
Why the emotional impact was worse than the technical problem
What stood out to me was that the financial loss was not the part Danny remembered most. The harder part was the feeling that his agency had let the client down. Because he knew the client personally, the mistake felt even more personal.
His team had spent weeks reporting positive campaign performance while the client saw no return from their investment. That disconnect created guilt, regret, and a real sense of helplessness.
As Danny explained it, the agency felt as if it had taken the client’s money without delivering value, even though the campaigns themselves were actually working.
Honesty became the first step
Once the problem became clear, Danny did not try to hide it. His view is straightforward: when mistakes happen, honesty is the only response that gives you any chance of repairing trust.
Instead of making excuses, the agency investigated immediately, exported every lead stored in the database, and gave the client everything they could recover. Many of those opportunities had already gone cold, but at least the client had access to the data that still existed.
From there, the focus had to move from blame to prevention.
Building systems that stop the same mistake happening twice
That experience changed the agency’s processes in a lasting way.
Instead of relying on one notification email, Danny’s team introduced multiple safeguards:
CC’ing the agency on every lead notification.
Automatically logging every lead into a shared Google Sheet.
Testing forms regularly to confirm submissions and notifications both work.
Checking with clients routinely to confirm leads are actually being received.
Those checks are now part of the agency’s standard operating procedures. They are no longer assumptions about technology working in the background.
Why communication matters as much as optimisation
Looking back, Danny sees the technical failure as only part of the issue. Communication failed too. No one had asked the simple question: “Are you actually receiving the leads?”
Today, communication is one of Optidge’s core values.
Rather than expecting PPC specialists to manage constant client communication while also running campaigns, the agency brought in dedicated account managers whose primary role is to keep clients informed.
The lesson I took from this is simple: campaign metrics alone do not define success.
Success only happens when the client experiences the results you are reporting.
Sometimes clients remember how you responded
At first, the relationship with the client ended. Danny assumed the mistake had permanently damaged the trust they had built.
Years later, though, that same client reached out again about potentially working together. In her email, she described Optidge as the most professional agency she had worked with. For Danny, it was a reminder that clients do not forget mistakes, but they also remember how agencies respond to them.
Transparency, professionalism, and a genuine effort to improve can leave a stronger impression than perfection.
Common PPC mistakes Danny still sees today
Although this happened years ago, Danny still sees agencies making similar mistakes today.
One of the biggest is focusing only on traffic instead of business outcomes. Sending visitors to a page is no longer enough.
Strong lead generation requires understanding what happens after someone clicks.
When Danny audits accounts, he often finds agencies failing to:
Feed qualified lead data back into advertising platforms.
Review search terms thoroughly and maintain negative keywords.
Build landing pages that match campaign intent.
Measure lead quality instead of simply counting conversions.
Without those fundamentals, campaign optimisation is based on incomplete information.
Where AI is genuinely helping lead generation
Danny believes AI has real potential in lead generation, but not always in the way marketers expect.
One of the most useful opportunities is phone call analysis.
Instead of manually listening to every conversation, AI can now help agencies:
Generate call transcripts.
Categorise calls by quality.
Identify whether a call became a genuine sales opportunity.
Feed qualified conversion data back into Google Ads.
That makes it possible to optimise around real business outcomes instead of surface-level metrics.
Why AI still needs human oversight
Even though Danny is using AI, he does not treat it as an infallible system.
Like automation inside advertising platforms, AI can make mistakes, miss context, and confidently reach the wrong conclusion.
For industries with strict privacy requirements, such as healthcare, AI may not be appropriate for handling sensitive customer information at all.
His advice is to trust AI enough to improve efficiency, but always verify the work.
Human expertise still matters.
The biggest lesson
I do not think any PPC professional can avoid mistakes completely.
What defines a strong agency is how it responds when something goes wrong.
That means being honest, fixing the immediate problem, building safeguards, and making sure the same issue does not happen again.
As Danny puts it, a mistake only becomes valuable when you have genuinely learned from it.
I’m deeply saddened to share that Bruce Clay, widely known as the Father of SEO, passed away in late May. Bruce was one of the true founding figures of the SEO industry, having launched a professional SEO agency back in 1996, long before search marketing became the discipline we know today.
For me, Bruce’s impact is hard to overstate. He was the first sponsor of the first-ever SEO conference, and he gave an extraordinary amount of his time, resources and money to help build the search community. Few people have supported this industry for as long, or with as much generosity, as Bruce did.
Tribute video. The Bruce Clay, Inc. team prepared a tribute video honoring Bruce’s life and legacy. It describes him as a pioneer who devoted much of his life to helping the SEO industry grow. During his three decades as CEO of Bruce Clay Inc., he wrote three books, built tools, spoke at conferences, hosted training events and helped the company expand internationally.
Because of Bruce’s founding principles, hundreds of employees around the world have contributed to SEO, and thousands of students have benefited from his experience and teaching.
The Bruce Clay team told me, “We are absolutely heartbroken, but we find strength in the vibrant community and lasting values that Bruce built. Our teams in the U.S. and around the world remain dedicated to carrying forward the mission Bruce loved so dearly.”
Kyle Pouliot, Sr. Video Production Manager at Third Door Media, also shared a personal reflection with me.
“I’ve gotten to know Bruce on a more personal level over these past few years and interacted with him frequently for our online conferences. What I’ve learned about Bruce in that time is that he was genuinely thoughtful and caring about the search community. Never short of an honest opinion, Bruce shared some really practical ideas for Search Engine Land and SMX. He loved sharing his deep experienced knowledge to everyone, it didn’t matter if you were a beginner or 20+ year industry veteran, he treated everyone the same. We talked about the hundreds of golf balls that would find their way into his property every day, food, raising kids and how incredible the weather was in Simi Valley. He will be greatly missed.”
On a personal note, I’ve known Bruce Clay since I entered the SEO industry more than 20 years ago. He was a role model to me, often a mentor, and always someone who was approachable, professional and deeply caring. In many rooms, he was likely the most generous and thoughtful person there.
I loved his SEO talks. I loved meeting him at industry events. And I especially valued the personal emails he sent about shaping the future of our industry. Those moments showed me how much Bruce cared, not just about search, but about the people building it.
I’m seeing Google roll out a new set of Demand Gen updates designed to help advertisers improve creative performance, reach more potential customers across YouTube, and measure campaign results with more clarity.
For me, the bigger story is that Demand Gen is becoming less about manually adapting assets and more about using AI-assisted tools to make creative work harder across Google’s most visual surfaces.
Demand Gen campaigns are built to drive discovery and conversions across Google’s visual placements. With these latest updates, I see Google trying to reduce creative friction while giving advertisers better visibility into what is actually moving performance.
Google says the enhancements arrive as YouTube continues to show value for customer acquisition. The company cited research from Measured showing that 72% of incremental conversions on YouTube come from new customers.
What’s new. I’m watching Demand Gen add expanded video resizing capabilities, giving advertisers the ability to automatically transform creative into more aspect ratios, including vertical-to-square, vertical-to-landscape, and square-to-landscape formats.
That matters because it should make it easier to adapt existing creative for different YouTube placements without having to produce every version manually from scratch.
Why I care. Expanded video resizing can help existing assets fit more YouTube inventory, Gemini can provide AI-powered recommendations before launch, and new web-to-app measurement can give marketers a clearer view of how Demand Gen campaigns influence app installs and return on ad spend.
Gemini joins the creative workflow. Google is also bringing Gemini-powered recommendations directly into the Demand Gen campaign creation process, which makes AI guidance part of the asset selection workflow instead of a separate optimization step.
When advertisers choose image and video assets, Gemini will offer automated suggestions for optimizing creative for YouTube. I see this as a way for marketers to improve asset choices before campaigns go live, rather than waiting for performance data after launch.
Better app measurement. Demand Gen now includes Web to App Acquisition Measurement, allowing advertisers to measure when web campaigns lead users to install an app.
The new reporting gives me a more complete way to evaluate campaign performance because it attributes app installs generated through Demand Gen campaigns. That should help advertisers better understand the full impact of their media spend.
The bottom line. I see Google’s latest Demand Gen updates as a practical combination of AI-powered creative guidance, more flexible video optimization, and broader measurement tools that can help advertisers improve performance while gaining clearer insight into customer acquisition.
I see Google’s latest Google Ads API change as another clear move away from legacy automation and toward newer AI-driven campaign types, especially Performance Max.
Beginning August 3, 2026, Google says developers will no longer be able to create new Smart Campaigns through the Google Ads API. For me, the key detail is that this change is about new campaign creation only.
Existing Smart Campaigns are not being shut down. They can keep serving ads, and advertisers and developers will still be able to update and manage those campaigns through the API.
What changes is the ability to create brand-new Smart Campaigns through API workflows. If I depend on automated campaign setup, that is the part I would review now.
I care about this because it signals where Google wants advertisers to go next. Smart Campaigns may continue running, but the path for new API-based campaign creation is moving toward newer products such as Performance Max, Search campaigns, and Demand Gen campaigns.
Google is specifically pointing advertisers toward Performance Max as the primary alternative. Since Performance Max runs across Google’s advertising inventory and uses AI to automate more of the campaign process, it fits the broader direction Google has been taking for years.
I also see this as part of a wider consolidation around automated campaign formats. Google has increasingly emphasized systems that handle bidding, targeting, and creative optimization across channels, and limiting new Smart Campaign creation reinforces that shift.
For developers, the practical next step is to audit any application that creates Smart Campaigns before the August 3, 2026 deadline. The affected requests are campaign creation operations where advertising_channel_type is set to SMART and advertising_channel_sub_type is set to SMART_CAMPAIGN.
After August 3, attempts to create new Smart Campaigns through the API will fail. In version 24 of the Google Ads API, developers will receive a SmartCampaignError.CREATION_FAILED error.
In version 23 and earlier, the same type of request will return an OperationAccessDeniedError.CREATE_OPERATION_NOT_PERMITTED error.
My main takeaway is that advertisers, agencies, and software providers should not treat this as a last-minute technical cleanup. If campaign creation is built into an internal tool, onboarding flow, or platform integration, I would start mapping the replacement path now.
Google is not ending existing Smart Campaigns, but it is removing a key creation path for new ones. To me, that is a strong signal that future campaign planning should center on Performance Max and other AI-driven Google Ads campaign types.
I’ve come across important news about Google Ads that could significantly impact how we manage our campaigns. Google is on the verge of altering its target-based bidding strategies, particularly for campaigns running on limited budgets.
Mark your calendar for August 17th when these changes will take full effect. But don’t worry, a Bid Target Adjustment Tool will be available as of July 6 to help us prepare and adjust our goals accordingly.
What’s going on? Google’s update aims to closely align target-based bidding strategies such as Target CPA with our set goals, even when budget constraints come into play.
They’re introducing a new tool that allows us to tweak our targets before the updates hit, which is crucial for maintaining our campaign performance.
Why should we care? If your campaigns are currently exceeding their target CPA or ROAS goals, they might not continue to do so post-update without adjustment. This update is meant to ensure budget-constrained campaigns stay true to their targets.
For example, if my campaign is achieving a $5 CPA against a $10 target, the performance might shift towards $10 unless I make some changes.
Thankfully, the new tool is there to help us proactively update our bidding goals before the changes roll out. If we don’t take advantage of this, we might end up paying more per conversion or see our performance realign with Google’s targets instead of our historical results.
Why is Google doing this? Google wants to reduce fluctuations and provide more predictable results when we tweak or adjust our budgets.
The tool is designed to help us synchronize our bidding targets more closely with actual business outcomes before the automatic implementation begins.
What should we do? It’s a good time for us to reevaluate campaigns using target-based strategies and verify if our current targets still align with desired results.
Notifications will be sent through Google Ads accounts before the update, and the Bid Target Adjustment Tool can highlight which campaigns might be affected.
Key takeaway: For those of us with campaigns that consistently outperform their targets, maintaining current performance might require tweaking target settings instead of leaving them unchanged.
When it comes to PPC, some of the toughest lessons aren’t about bidding strategies or keywords. It’s about knowing when to walk away from a client. On a recent episode of PPC Live The Podcast, I, Laura Abreu, a performance marketing strategist, shared a pivotal experience from early in my career that taught me invaluable lessons.
My first client was launching an ecommerce store featuring beauty products from well-known brands. On paper, it looked promising, but deep down, something felt off. The products were available at the same price elsewhere, giving consumers little reason to choose our store. Despite this, I ignored my instincts and accepted the project.
Despite our team’s best efforts with search campaigns, Meta ads, seasonal offers, and product bundles, we didn’t manage a single sale over three months. The issue wasn’t with our marketing strategies—it was the lack of a unique value proposition in the business model itself.
I’ve learned that great marketing won’t fix a weak business proposition. Engaging with a new client now involves ensuring they’ve done market validation before investments in advertising.
This experience also revealed the importance of not letting personal preferences cloud judgement in marketing. We focused heavily on creating visually appealing content without realizing that resonating with customer needs and desires is what truly drives sales.
The emotional turmoil from this misstep was profound, affecting my confidence to the point where I took a break from PPC clients. I realized I was unfairly shouldering the blame for a structural business issue beyond my control.
Setting clear expectations from the start with every client has become another cornerstone of my practice. I ensure advertising is positioned as a way to test assumptions instead of promising immediate growth. This approach helps in maintaining honest conversations and prevents misunderstandings.
I’ve also decided never to mix business with personal relationships. Working with friends and family often involves emotional challenges that can interfere with objective decision-making.
Protecting one’s reputation is crucial, especially when campaigns don’t meet expectations. Honest dialogue, even if it means discussing failures or refunding fees, is necessary to build trust, which is invaluable in our referral-driven industry.
Through auditing various PPC accounts, I often encounter the mistake of treating campaigns as “set and forget.” It’s vital to constantly refresh ad copy, scale winning creatives, and streamline lead-generation processes for better conversion rates.
AI has become a significant asset in automating routine tasks, allowing more time for strategic thinking and client interactions. However, I advise marketers to maintain human oversight to avoid the pitfalls of poor-quality AI outputs.
I recently explored Google’s updated guidelines for site moves, specifically about handling all domain variants using their Change of Address tool. This update aims to clarify the process of moving your site from one domain to another, ensuring a smooth transition for all domain variations.
Google’s advice is straightforward: enter every domain variant in their Change of Address tool during a site migration. They emphasize this in their documentation to prevent potential indexing issues.
Google’s Note: They encourage submitting requests for each subdomain and the www and non-www variants of your previous domain. For instance, ensure you submit en.example.com, www.example.com, and example.com if you’re moving to new-example.net, even if these variants aren’t actively used. It’s crucial to have them verified in the Search Console for a seamless migration.
Understanding domain variants is key. These include subdomains and different TLDs, allowing for a comprehensive transition from your old site to the new one without hiccups.
Why It Matters: Proper domain migration ensures that all site variants migrate without issues, which Google confirms as the best practice for SEO. Following Google’s guidelines can significantly mitigate the stress associated with site migrations.
For any SEO practitioner or site owner, site moves can be daunting. However, adhering to these detailed steps can make the transition less overwhelming. The Change of Address tool is designed to expedite this process, so making the most of it is essential.
I’ve got exciting news for all Instagram enthusiasts! Instagram has now rolled out an update that allows us to tailor the Your Algorithm controls directly into our main feed experience. This means we have more power to manage the topics influencing our recommendations across Feed, Reels, and Explore.
About Your Algorithm. This feature is designed to allow me to view the topics Instagram thinks I’m interested in. It gives me the option to remove topics I’m not keen on and add those I want to see more frequently. Although Instagram first introduced Your Algorithm for Reels last December, it has since broadened these controls across more recommendation surfaces.
Feed joins Reels and Explore. Now, with this update, I can manage topic-level controls on my main feed. This change means the recommended posts I see—often from accounts I don’t follow—can be more aligned with my true interests.
Instagram generates a list of topics based on my activity, and any tweaks I make to this list help the system fine-tune future recommendations.
More user control. Adam Mosseri, the head of Instagram, mentions that this update addresses how we often feel out of control in recommendation-driven feeds.
“Our system learns from what I tap, watch, and share, but there hasn’t been a clear way for me to tell it what I truly want,” Mosseri explained. With the help of large language models, Instagram can now describe content clusters in simple language, offering me a clearer way to shape the system’s understanding of my preferences.
Interest media. As Gary Vaynerchuk brilliantly put it, there’s a shift happening from follower-based feeds, which he called social media, to interest-based discovery, or interest media. Insights show that platforms like Instagram are focusing on engagement-driven content rather than purely the accounts I follow. With this update, Instagram is transparent about the interests behind my recommendations.
Why we care. Matching user interests has become a priority in Instagram’s discovery process. If you’re creating content, it’s crucial to signal specific topics and audience intent to increase visibility in recommendations.
More controls are planned. Topics are just the beginning! Mosseri assured us that Instagram is also working on controls for people, moods, content types, and other signals.
