Can AI Actually Make You a Better Advertiser?

Following best practices and simplifying campaign construction doesn't guarantee results, and advertisers who do everything right still get anxious when they're not constantly tweaking settings. Jon explains why your energy belongs on the ads, your offer, and your landing page rather than campaign complexity, and why these three things in that order are where you'll make the most impact.

Most advertisers obsess over placement performance, demographic distribution, ad-level micromanagement, and data discrepancies between Ads Manager and other platforms, but Jon spends almost no time on any of it. Jon explains why these seven common concerns are rarely worth your energy when optimizing for conversions, why the exceptions are narrower than most advertisers think, and where to focus instead.

Advertisers love restricting demographics, removing placements, and splitting budgets across ad sets, but most of these decisions are based on feelings rather than data. Jon explains why every change that adds complexity should be tied to a specific measurable problem, why Meta's algorithm already handles most of what advertisers try to control, and why value rules should be your first move before restricting anything entirely.

Today's question is about how advertisers should approach AI tools like Claude's new connection to Meta ads. AI has enormous potential for creative development, but it's not a replacement for knowledge. Jon explains why advertisers without a strong foundation will just execute bad strategies faster, why creative is the most promising use case, and why treating AI automation as a magic pill is the biggest risk right now. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.

Struggling ad accounts keep making the same mistakes, from undefined audience segments and unnecessary remarketing to inflated conversion results and overcomplicated campaign structures. Jon explains the most common problems he sees when auditing accounts, why each one reflects a misunderstanding of how Meta's algorithm works, and how to fix them.

Today's question is about how to decide when new Meta features like push delivery or AI platform connectors are worth testing. New features carry risk because there's no track record for effectiveness or problems to watch for. Jon explains why your appetite for risk matters most, why you should only experiment when you have a specific problem to solve rather than tinkering when results are already good, and why AI connectors in particular warrant extra caution until the risks are better understood. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.

Advertisers fixate on delivery details like which ads Meta shows, placement distribution, or age skews, but rarely ask the most important question: is this actually a problem tied to bad results? Obsessing over inconsequential quirks almost always leads to unproductive tinkering that destroys consistency. Jon explains why you need to separate real delivery problems from gut-feeling complaints, why micromanaging Meta's optimization usually makes things worse, and how to know when a quirk in delivery actually matters versus when you need to step back and let Meta work.

Today's question is about what to do when one ad takes 50% of your budget and performance starts declining over time. Jon explains why uneven budget distribution isn't necessarily a problem, how push delivery can test whether Meta's allocation is correct, and why creating new and uniquely different ads is almost always the real solution over micromanaging which ads get spend. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.

The biggest challenge in Meta advertising isn't any single feature or update, it's the relentless pace of change that makes best practices obsolete within months. Jon explains why he stopped creating training courses after producing two that became immediately irrelevant, how he built an ad briefs library that stays current by pulling from his most recent content, and why solving the shelf-life problem led him to rethink how he delivers value to his community entirely.

Today's question is about the right funnel strategy for high-ticket consumer products on Meta. Cheaper leads don't automatically mean cheaper conversions, and a small discount may attract the wrong people while missing buyers who would purchase without one. Jon explains why optimizing straight for the purchase should always be tested first, why a tightly connected lead magnet beats a generic discount as a funnel entry point, and when remarketing is still worth using for high-ticket products. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.