Meta provides no transparency about which specific images or videos perform best when using flexible format, related media, or AI generated creative. Breakdowns exist but share almost no useful detail. Jon explains why this lack of transparency is intentional at this point, why it matters for creative teams who need feedback, and why Meta needs to share this information despite the risk of advertisers misusing it.

Today's question is about advertising expensive products with long buying cycles that fall outside the seven or 28 day attribution window. Should you run traffic campaigns instead of purchase campaigns if most conversions won't be tracked anyway? Jon explains why you need to confirm this is actually happening, how multiple ads for different awareness levels can keep conversions within windows, and when to consider alternative approaches. Want your question to be answered on a future episode? Go to JonLoomer.com/Question and record your question today.

Advertisers claim Meta steals credit for conversions that were actually driven by email or Google, calling conversion reporting vanity metrics. But attribution is messy and trying to assign single-source credit misses the point entirely. Jon explains what different conversion types actually mean, why obsessing over credit is foolish, and how effective campaigns require multiple channels working together where shared credit matters more than exclusive credit.

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.