Ask These Questions Before Using Value Rules

Value rules are one of Meta's most useful newer features, letting you nudge bids up or down instead of restricting your audience outright. But advertisers reach for them far too often, and because value rules deliberately raise costs. Jon lays out the two questions that separate a necessary value rule from a wasteful one.

One of the most popular myths in Meta advertising is that the conversion numbers are made up. But Meta only knows about a purchase because your event fired, which means the real problem is almost never fabricated results, it's advertisers who don't understand what their conversions actually mean. Jon explains how deduplication issues, attribution windows, and repeat customers inflate your numbers, and why fixing it is on you.

Incremental attribution reports only the conversions your ads actually caused, and most advertisers would be better off making it their default. But standard attribution isn't the real problem, it's the advertisers who take inflated view-through results at face value and scale on them anyway. Jon explains why he'd push nearly everyone toward incremental even though he doesn't always use it himself, and why the drop advertisers fear is mostly an illusion.

Restricting age and gender feels like smart budgeting, and it's the most understandable mistake in Meta advertising. But when you optimize for purchases, Meta already wants what you want, and every restriction you add just shrinks the pool and raises your costs before the algorithm gets a chance to surprise you. Jon explains why you should start broad, when value rules are the better tool, and why refining your audience based on results almost never holds up.

Most advertisers still obsess over targeting controls, remarketing campaigns, and which single ad won. But the foundations of Meta advertising today point the other way: consolidate your budget, trust the algorithm, and let creative do the reaching. Jon breaks down the core elements that actually matter now, and the old habits worth abandoning.

For fifteen years Jon has written every word on his blog, so publishing an AI-generated post cut against everything he believes about content. But the master brief behind it was consolidated entirely from his own work and labeled as AI up front. Jon explains why transparency and a real problem to solve are what separate useful AI content from the empty kind.