The Pubcast with Jon Loomer
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© 2012-26
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Facebook ads news, strategies, and discussion in a quick 5-10 minute "Shot" format. Started in 2013, full Pubcast was originally an interview format where Jon and his guest discussed business topics over a beer. The format change, but the name has endured. Pop a bottle...
679 Episodes
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Today's question is about the single most common point of confusion Jon wishes everyone understood about Meta ads. He can't pick just one, so he gives three. Jon explains why the algorithm being literal shapes everything, why targeting control is mostly unnecessary now, and where advertisers should actually focus when results aren't good. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.
Meta changed how click attribution works, and it's mostly for the better, but some advertisers might see a negative impact. Click-through conversions now require an actual link click, while social clicks and other engagement moved to a new engage-through attribution with a shorter window. Jon explains what changed, why some conversions will be lost, and which strategy gets hit hardest by the update.
Today's question is whether to launch a brand new campaign with creative testing or start testing later with new creatives. There's no absolute right answer, but Jon has a preferred approach with clear reasoning behind it. He explains why starting new ads with a test answers questions you'll have later, avoids the messy workaround of duplicating existing ads, and ensures you get meaningful data from the start. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.
Ads that were working fine suddenly tank, and advertisers assume Meta changed who they're showing ads to or messed up delivery. But there's usually a simpler explanation. Jon breaks down the five real causes of sudden performance drops, including randomness, competitive variables, website issues, and event delays, and why obsessing over daily results drives you crazy when seven-day averages are what matter.
Today's question is about using manual bidding like cost caps to control costs while scaling budget when campaigns perform well. By default, Meta tries to get the most results while spending your entire budget, which means a mix of auction costs. Jon explains why setting manual bid controls usually leads to inconsistent delivery and questionable quality, how it might restrict you to low-quality placements, and why outsmarting the algorithm rarely works. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.
Most advertisers obsess over targeting inputs that either do nothing or actively hurt results. Jon explains why he ignores audience suggestions, age restrictions, detailed targeting, and lookalikes entirely, how he uses value rules to handle demographic problems instead, and why the only inputs worth touching are locations and exclusions.
Today's question is about testing different customer personas using the creative testing tool. Advertisers used to create separate ad sets for each persona with adjusted targeting, but that's outdated now. Jon explains why all customer personas can exist in one ad set, how Meta finds the right audience for each ad combination through creative diversification, and when splitting by persona actually makes sense versus when it's unnecessary complexity. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.
Audience suggestions cause confusion because advertisers think they're tight constraints when they're not. Jon proposes how Meta could eliminate suggestions entirely while keeping audience controls like location and exclusions. The result would strip away the illusion of control, prevent mistakes based on false assumptions, and force advertisers to focus on what actually matters without pretending inputs do more than they do.
Today's question is about determining what works from top performing ads to inform the next batch of creative. Creative testing used to isolate single elements, but now ads generate thousands of combinations through text options, placements, and enhancements. Jon explains why finding one winning combination isn't the goal anymore, how to use the creative testing tool to identify themes instead of specific winners, and why success comes from many winning combinations in aggregate. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.
Advertisers believe something works and only pay attention to evidence supporting it while ignoring contradictions. They blame Andromeda or the algorithm when strategies stop working instead of questioning their assumptions. Jon explains why confirmation bias makes experienced advertisers the worst offenders, how to test beliefs instead of confirming them, and why staying curious and open to being wrong gets better results than clinging to outdated strategies.
Today's question is about preventing customers from purchasing the same audiobook bundle twice through ads. Excluding customers is a balance of risks versus benefits, and no single custom audience catches everyone. Jon explains why you should exclude multiple custom audiences including website purchasers and email lists, how to improve match rates, and why keeping audiences dynamically updated limits repeat purchases. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.
Audience suggestions feel like control, but Meta ignores them constantly, especially for age and gender. There's no proof they impact detailed targeting or lookalikes, yet they cause confusion and wasted effort creating multiple ad sets. Jon explains why Meta should eliminate audience suggestions entirely, how the illusion of control hurts results, and why you'd be better off without them.
Today's question is whether you should remove email signup popups from landing pages when sending paid Meta traffic to them. Popups don't technically violate Meta's rules, but they can contribute to bad post-click experiences that drive up your costs if they hurt bounce rate or dwell time. Jon explains how Meta measures ad quality through landing page experiences, when popups become a problem versus when they might be fine, and why you should test a version without the popup to see what actually works. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.
Advertisers have a tendency to overcomplicate their campaigns with multiple ad sets, restricted targeting, removed placements, and turned-off enhancements, often without clear reasons for these decisions. Jon challenges you to audit your current campaigns and question every piece of complexity you've added by asking why you made each decision, what problem you were solving, and whether there was a better solution that didn't require watering down your budget or limiting Meta's optimization.
Today's question is about campaign structure for seasonal products, specifically whether to split major holidays into separate ad sets with spending limits. Seasonal businesses face a unique challenge of running evergreen products year-round while also promoting holiday-specific items for limited periods. Jon explains how to structure a CBO campaign with multiple ad sets for different seasons, when to turn seasonal ad sets off based on performance, and whether ad set spending limits are actually necessary or just adding unnecessary restrictions. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.
Advertisers blame Meta when their leads are low quality, pointing to the algorithm exploiting weaknesses like age range or placements to get cheap conversions. But the real problem with lead quality usually has nothing to do with Meta or your ads. Jon explains why your follow-up process, email deliverability, sales team, and automation are what actually determine lead quality, and the specific steps you need to take to make sure real leads don't get ignored or lost in spam folders.
Today's question is why campaigns stop working after two or three weeks when the ads generated sales initially and there's no ad fatigue. Meta starts by showing ads to low hanging fruit, the people most likely to convert, which often includes your remarketing audience even with algorithmic targeting. Jon explains why this group gets exhausted quickly, how audience size and product niche affect the drop-off, and why it's not normal to go from great performance to bad performance if your fundamentals are solid. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.
Creative diversification sounds great in theory, but most advertisers take Meta's recommendations too literally and waste time creating 20 ads at once that never get shown. There's a smarter way to approach creative diversity without overwhelming yourself or your budget. Jon explains how to stack creative diversity in phases using the creative testing tool, starting with one theme and learning what works before building the next uniquely different set, so you're being strategic instead of just creating more ads for the sake of it.
Today's question is about when to use multiple campaigns instead of a single Advantage Plus campaign structure, especially when it comes to separating cold traffic and retargeting. Remarketing happens naturally through algorithmic targeting now, so splitting it out is usually unnecessary. Jon explains the specific situations where multiple campaigns or ad sets actually make sense, why budget splits can hurt your results, and when keeping everything in one place is the smarter approach. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.
Meta spent years taking control away from advertisers, discouraging them from restricting targeting or removing placements, so launching Value Rules seemed like a confusing contradiction. But it actually makes perfect sense when you understand what the feature does. Jon explains why Value Rules are one of his favorite tools, how to use them to solve problems with age targeting, gender distribution, and placements like Audience Network, and why they're better than restricting your targeting entirely.
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