Meta Ads Budget Optimisation

What this skill does

Budget questions have a typical shape: "We need to cut 20% of media spend. Where do we cut?" Answering it honestly requires reading across channels, not inside one platform’s own reporting. hurra.ai runs the attribution analysis, models the scenarios and prepares a recommendation with its reasoning. You review and approve. The decision stays with you.

The point of doing this outside Meta is independence. Google and Meta bid to their own metrics, and the platform that sells you media is also the platform reporting on that media. hurra.ai keeps budget decisions independent of the platform selling you the budget, built above platform reporting rather than inside it.

With your Meta account connected, its campaign figures are read next to your analytics, your shop and your other channels, so a Meta budget is weighed against the rest of your mix instead of in isolation.

How it runs in hurra.ai

Skills are role-specific AI agents built on your data and your ways of working: domain specialists, not a generic chatbot with a blank prompt box. A skill runs inside the platform your systems are already connected to, rather than as a separate tool with its own login and its own setup.

That inherited context is the practical difference. A standalone tool has to be told what your business sells and where its data lives, once per tool, and then told again when either changes. A skill starts from connections that already exist and are already maintained: your products, your content, your customers and your measurement.

Skills are added and left out one at a time. You switch on the ones that match work you actually do, and the rest stay out of the way instead of cluttering an interface.

The analysis side rests on the measurement stack already in the platform. Attribution supports rule-based and data-driven models, including Markov chains and logistic regression, and lets you simulate models against each other, showing how much a budget decision depends on the model behind it, before the budget moves. MMM-based reporting feeds media-mix weights into the attribution.

hurra.ai reads from your account through official interfaces and prepares every change with its reasoning. Material changes to campaigns, budgets or bidding wait for your approval. Routine optimisation runs under rules you define in advance, so the safe, repetitive work happens without you in the loop and everything else does not. Every change is logged, and you can tighten or widen the rules at any time.

Closing the loop

A budget decision is only half the loop. On the activation side, audiences and attributed conversions sync back to Meta, so the platform optimises against your verified numbers instead of its own. The reading stays independent; the execution stays in the account your team already operates.