Meta Advantage+ experts

Handing audience and placements to Meta produces, in most of the accounts we follow, a shorter learning phase and a more stable cost per result than a hand-cut structure, at equal budget. The condition is the signal. An Advantage+ campaign that receives purchases with their value, from the Pixel and the Conversions API, learns on the right target. A campaign that receives purchases without value, or duplicated events, learns fast, but off target. We open the automation after the measurement, never before.

Left to its defaults, an Advantage+ sales campaign optimises the purchase on the whole audience, existing customers included. It then shows a flattering ROAS, partly made of sales that would have happened anyway. An acquisition campaign is built by excluding the customer base and optimising the new customer event, and an awareness campaign is steered on ad recall, not on purchase. The three types coexist in an account, each in its Advantage+ campaign, each with its signal. That is the structure we build, and the automation lives inside it.

An Advantage+ campaign gives less detail than a manual structure on who saw what, and that is a practical observation, not a fact Meta documents. We rebuild what is missing from your data: the share of spend on your customers, the share on strangers, the real margin per segment. And to know what the campaign really created, only one measurement holds: an incrementality test, Conversion Lift on the Meta side, geo-lift or Causal Impact on the EdgeAngel side, framed before anything is launched.