INSIGHTS FROM EXPERTS ON LINKEDIN
Amal Harb argues that hiring a Head of Marketing shouldn’t mean hiring a one-person agency responsible for everything from design to media buying. Expecting a single human to execute every specialized role is unsustainable and usually leads to diluted results and burnout. Real performance comes from building a system of experts rather than stretching one person until they break.
Ben Dutter highlights how most marketing models wrongly assume that ads have an almost immediate impact on revenue, which makes awareness channels look worse than they are. Since top-of-funnel media like YouTube or CTV can take over 40 days to show results, standard models often report a much lower return than reality. Testing longer timeframes and using incrementality experiments can help you see the true value of your spend.
Peep Laja found that many SaaS leaders feel stuck with underpriced products because they wait too long to make changes or just copy their competitors. Companies that gate their pricing are often the ones least likely to test it, leaving them without any real data on what customers are actually willing to pay. Most brands are currently repricing for AI without a playbook, relying on guesswork instead of the research they claim to need.
Jonathan Bland explains that AI Overviews are shrinking Google’s ad inventory, which is pushing prices up and making it harder to get clicks. He suggests that search is best at capturing demand you’ve already created, rather than building a brand from scratch. To keep costs down, you need to make sure people know who you are before they ever start typing into a search box.
Tim Davidson is a big fan of connecting platforms like Fibbler to Claude because it automates the tedious hours he used to spend manually filtering and formatting client data. This setup handles complex tasks like separating new business from renewals across different accounts without the typical AI “hallucinations.” It has turned a massive headache into a streamlined process that allows for much more granular analysis.
Liam Moroney warns that many popular growth playbooks are actually built on the “unfair advantage” of venture capital rather than sustainable business models. This influx of cash allows companies to spend heavily on marketing and sell products below cost to grab market share, which just isn’t realistic for most businesses. We should remember that these success stories often rely on a financial safety net that ignores the usual rules of profitability.
Nick Turner believes handing your marketing entirely to GTM engineers is a mistake because, while code is predictable, human buyers are not. Even the most perfectly engineered funnel will fail if the messaging lacks the taste and emotional connection that only experienced marketers can provide. Engineering is great for the plumbing, but you still need human judgment to handle the psychology and timing that drive real results.
Marcus Burke has been seeing better results by using lifetime budgets instead of daily ones, mainly because it lets Meta spend more on high-performance days like Sundays. This setup allows you to scale or extend campaigns without triggering the annoying “learning phase” that often resets your progress. It also lets you schedule ads for specific hours when your customers are most likely to actually convert, rather than just engaging.
Gil David highlights that many experienced advertisers are hitting a wall with Meta lately, facing weird budget swings and tanking results despite constant testing. He suspects the issue stems from recent tweaks to how Meta predicts conversions and handles iOS data, particularly for US-based accounts. While external world events have an impact, the core problem seems to be internal technical glitches that Meta hasn’t officially copped to yet.
WHAT'S NEW IN THE INDUSTRY
Stop treating B2B events like a one-off finale and start seeing them as the beginning of your content production engine. By treating an event like a bottle episode, you can focus on capturing the raw chemistry and dialogue that fuels your marketing channels for months afterward. The real value is turning a single expensive moment into a series of scalable stories that live long after the doors close.
Google is currently testing a long-awaited feature that lets advertisers finally toggle off the Search Partner and Display Networks within Performance Max campaigns. This alpha test, spotted in late April 2026, would solve a major headache for brands that want more say over where their budget is actually being spent. If this rolls out widely, it will be a huge win for transparency and give marketers the manual control they’ve been asking for since the tool launched.
Marketers are increasingly ditching expensive SaaS subscriptions to vibe code their own custom tools using AI. While massive platforms like Salesforce are still safe due to their deep data roots, smaller single-function tools are seeing a huge drop in renewals as teams realize they can build similar features internally in a day. This shift is turning software into a commodity and forcing vendors to focus more on actual human service and support to stay relevant.
Salesforce launched Agentforce Operations to help companies fix the “slow” side of business by using AI agents to handle back-office tasks like data verification and compliance checks. These agents can cut processing times by up to 70% and reduce manual data entry by 80%, working across disconnected systems like email and ERP. It’s a shift toward agents that actually complete the work rather than just routing it to a human.
Google Ads Liaison Ginny Marvin reflects on how search marketing has transformed from the “painfully manual” days of keyword lists into a sophisticated, AI-driven landscape. She notes that while AI has actually been part of Google Ads for years, the recent speed of change means marketers must prioritize curiosity and experimentation over rigid control. Her main takeaway is that even as tools change, success still comes down to connecting campaign activity to real business outcomes.
Google Analytics is rolling out a new Task Assistant to help users fix tracking gaps and improve data quality through guided, step-by-step recommendations. Found in the left-hand navigation, the tool organizes tasks into clear categories like connecting accounts or fixing data issues, making complex setups much easier to manage. This update aims to remove the guesswork, ensuring that even non-experts can trust their reporting and optimize budgets with confidence.
Early data from the ChatGPT ads rollout shows that the most successful ads use a “Brand: Benefit” formula and hyper-concise headlines capped at around 30 characters. Because users are already deep in a conversation, the best ads mirror the AI’s calm tone and use specific numbers or dollar amounts to build trust. Brands that adapt to this conversational format now are gaining a massive head start in “owning the conversation” before the platform hits full global rollout.
Microsoft Advertising is making its Performance Max campaigns less of a “black box” by adding conversion and spend data to its placement reports. Advertisers can now see exactly which publisher URLs are driving results and which are just wasting budget, allowing for much smarter optimization and brand safety exclusions. This level of transparency makes it easier to justify automated spend by showing the concrete data behind every dollar spent.
That’s the scoop for this week! If you found this valuable and any useful insights caught your eye, feel free to share them with your network.
Until next week!
