Guides for getting the most out of YieldBI.

Meta's three-tier hierarchy explained the way YieldBI reads it, objective at the campaign, targeting and budget at the ad set, creative at the ad.

How Meta's four bid strategies control auction spend, and how to pick the right one as a campaign matures inside YieldBI.

How Campaign Budget Optimization distributes spend across ad sets automatically, when to use it instead of setting budgets by hand, and how it interacts with the Campaign Wizard's variants.

What triggers Meta's learning phase, why costs run high while it's active, and how to get an ad set through it without resetting progress.

Why a headline ROAS number can't be judged on its own, how it relates to CPA and AOV, and how YieldBI compares it against your actual break-even target.

How cost per acquisition is calculated, why it needs to be judged against margin rather than industry averages, and how it interacts with bid strategy and structure.

Why doubling a budget doesn't double revenue, the prerequisites worth checking before scaling, and how YieldBI's Growth Priority decides which lever to pull.

How frequency measures repeat exposure, why it's the earliest real warning sign of fatigue, and how to catch it before CPA moves.

How custom audiences turn website visitors and buyers into targeting sources, how lookalikes extend them to new people, and where broad targeting starts to compete with both.

How average order value is calculated, why it's the one profitability lever independent of ad performance, and how it feeds into your break-even math.

Why net margin (not gross) sets your real break-even ROAS, and why that number moves with fixed marketing fees, discounts, and cost changes you might not have re-checked.

Why CPA understates true acquisition cost, why first-purchase revenue understates a customer's real value, and how the ratio between the two tells you whether growth is sustainable.

Why total revenue over total marketing spend is worth checking alongside platform-reported ROAS, especially once multiple channels and iOS tracking limits are in play.

Why Meta's own signal often out-targets a hand-picked interest list, and when narrowing the audience yourself still earns its keep.

Why cold and warm audiences need separate budgets, separate creative, and separate judgment, and what happens when one starves the other.

How cost and behavior differ across Feed, Stories, Reels, and Audience Network, and why restricting to the highest-CTR placement often raises cost per result.

Why the objective picked at the campaign level decides which slice of Meta's users you reach, and what goes wrong when it doesn't match the actual business goal.

How browser-side and server-side tracking complement each other, why relying on one alone leaves conversions invisible to Meta, and what that costs in optimization quality.

Why the same spend can report very different ROAS depending on the click/view window chosen, and when a view-through conversion is real versus just an audience that was already converting.

Why phone orders, in-store purchases, and closed CRM deals need to be sent back to Meta explicitly, and what happens to optimization when they aren't.

How cost-to-be-seen, click-through rate, and cost-per-click chain together, and why a cheap number at any one stage doesn't guarantee a cheap outcome downstream.

Why cost per lead needs to be read against close rate and customer value rather than judged on its own, and where chasing a lower number backfires.

How impressions and reach diverge as frequency rises, and why reporting one as if it were the other overstates or understates who an ad actually touched.

Why the conversion event chosen for optimization matters more than the count itself, and what happens when Meta doesn't have enough of them to learn from.

Why URL tagging gives analytics tools a view Meta's own reporting can't provide on its own, and where inconsistent naming quietly breaks it.

Why changing more than one thing between two ad versions invalidates the test, and how much budget and time an honest result actually needs.

Why creative quality drives CTR, CPC, and ROAS more directly than any audience decision, and where format mismatches quietly waste a well-targeted budget.

What Advantage+ automates at the audience, placement, and creative level, when it's ready to take over, and why the existing-customer budget cap is the one setting worth not skipping.

How to connect a Meta Business account and ad accounts to YieldBI before launching your first campaign.

A walkthrough of the Campaign Wizard's guided flow for setting up ad sets, budgets, and creative variants before publishing to Meta.

How Profit Goal and Growth Priority shape the daily scale, test, and pause recommendations YieldBI generates for your ad accounts.

How YieldBI's incremental attribution models and effective windows work, and how they differ from Meta's default attribution.