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.

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Advertisers are quick to shut off ads when results look bad, but poor short-term performance isn't the same as wasted budget. New businesses and first-time advertisers are building awareness and data even when early numbers look awful. Jon explains why overreacting to initial results is usually a mistake, when you're actually wasting money through high volumes of junk traffic or mismatched demographics, and how to diagnose and fix those problems before they spiral.

Today's question is about whether adding too many ads to a single ad set can actually hurt delivery. Meta removed its old recommendation of no more than six ads per ad set, but that doesn't mean more is always better. Jon explains why starting small with a couple of creatively diverse ads and adding more only when needed is the smarter approach, why the delivery algorithm may get lost when it has too many options for the budget, and why pruning ads that Meta rarely shows should be part of your troubleshooting when results decline.

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Two new features are changing how Jon creates ads. Push delivery lets you force spend to any existing ad to get answers, eliminating the need to start every new ad with a creative test. And the new creative workflow lets you combine multiple images and videos into a single ad with customizable text and URLs per creative, consolidating what used to require dozens of separate ads. Jon explains why both features make his previous process obsolete and why tying yourself to any single approach guarantees you'll fall behind.

Today's question is about the recommended structure and access levels between a client and agency when onboarding. Setting this up incorrectly can lead to serious problems, including getting accounts banned. Jon explains why the client should own all of their own assets and add your agency as a partner rather than a person, what access levels to grant for each asset, and why sharing login credentials or creating assets under the agency's business manager leads to problems when the relationship eventually ends.

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Meta has spent years removing advertiser control over targeting and placements, so actively encouraging value rules seemed contradictory. But it makes sense when you see where things are headed. Jon explains how a new test version lets you bid based on custom audience labels for lead quality and customer value, why value rules fill a knowledge gap the algorithm can't solve alone, and why they'll replace traditional delivery controls as Meta locks everything else down.

Today's question is about whether to exclude existing customers from your ads when you want to acquire new ones, and how to do it. Meta retargets existing customers by default, which isn't automatically a problem because those people convert easily and keep your costs down, but it can mask real performance or lower your average order value. Jon explains why you need to confirm there's an actual problem before excluding anyone, how to use website and customer list custom audiences together since each is imperfect on its own, and why new features like customer lifecycle strategy and value rules for existing customers could change the approach entirely.

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Advertisers love to blame Meta when results tank, pointing to outages, Advantage+ enhancements, and automated settings as proof the platform is out to get them. There's a little truth in every complaint, which is exactly why they spread, but they're also excuses that keep you from finding actual solutions. Jon explains why blaming Meta makes you look like an amateur to clients, how to troubleshoot performance drops by using breakdowns to isolate the real cause, and why the answer is almost always something within your control, usually the ads themselves.