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AI Skills

Google Ads Budget Optimisation

Skill

Budget decisions for Google Ads, prepared in your own independent layer from attribution and scenario analysis, not inside the platform selling you the budget.

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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 Google Ads is independence. Google bids to its 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.

Attribution and budget allocation are the core of the Marketing Intelligence layer this skill draws on, surfacing what is actually working across every channel and campaign, so a Google Ads 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.

Reading Google Ads alongside the Ads Defender protection record means invalid click activity is blocked in real time and stays visible, before it quietly consumes budget and before it distorts the very numbers a budget decision rests on.

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.

Performance Max inside the budget picture

Performance Max is Google's goal-based campaign type: one campaign with access to the full Google Ads inventory, from Search and Display to YouTube, Gmail, Maps and Discover. You set the goals, the assets and the budget; Google automates bidding and placement toward those goals.

For a budget decision that design cuts both ways. One campaign is simpler to run, but the spend spreads across surfaces that would otherwise be read separately, and the platform doing the spending is the platform reporting the result. Reading Performance Max in your independent layer keeps the campaign's total weighed against your own outcomes, next to every other channel.

The read and write boundary does not change for Performance Max. hurra.ai reads through official interfaces and prepares changes with their reasoning; material changes wait for your approval. And the protection layer applies here too: Ads Defender covers every campaign type, including Performance Max.

Closing the loop

A budget decision is only half the loop. On the activation side, audiences and attributed conversions sync back to Google Ads, 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.

Frequently asked questions

Can hurra.ai change my Google Ads campaigns?

Yes, within the limits you set. Every change is prepared with its reasoning, material changes wait for your approval, routine ones run under rules you defined in advance, and every change is logged.

What analysis is a budget recommendation based on?

Attribution across rule-based and data-driven models, including Markov chains and logistic regression, plus scenario modelling, and the models can be simulated against each other, so you see how much the recommendation depends on the model behind it. MMM-based reporting feeds media-mix weights into the attribution.

Why decide budgets outside Google Ads?

Google bids to its own metrics, and the platform selling you media is also the platform reporting on it. An independent layer weighs Google Ads against your other channels on your own numbers, free from platform bias.

What syncs back to Google Ads?

Audiences and attributed conversions, so the platform optimises against your verified numbers instead of its own. The measurement stays on your side; the execution stays in your account.

Run Google Ads Budget Optimisation on the data you already connected

The skill works from the systems in your hurra.ai layer rather than from a separate export. In the demo we go through your own case and show what the skill delivers and what it needs from you.

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