The agent that runs your paid media against your ROAS.ROAS.

An AI agent that runs paid media accounts end to end. It launches campaigns, monitors performance, tests hypotheses, optimizes budgets and bids, and scales winners: the same judgement loop a senior media buyer runs, at machine speed and 24/7. Hawky's Performance Agent operates the account in-platform, with every move logged and reversible.

Most tools surface insight or generate one thing, then hand a recommendation back to a human. The Performance Agent does the job: it executes the full loop of test, track, optimize and scale, and writes what it learned to Feather so it gets sharper week over week instead of resetting between campaigns.

Meta, Google, YouTube and TikTok today, against the metric you own: ROAS, CAC, LTV or contribution margin, or reach and CPM if the campaign is buying awareness. Bids and creatives push directly into the campaigns and ad sets the agent is bound to, over each platform's official API.

Yes. The agent connects through the same OAuth flow you use for any reporting tool. You set spend caps, daily-change ceilings, allow-listed campaigns and escalation thresholds, and it cannot touch anything outside those rails. Every action carries its trigger and is one-click reversible. Hawky is SOC 2 Type II.

Three protections, in order. Guardrails stop it acting outside the rules you set. Logging attaches the trigger, the supporting signal and a confidence score to every action. Reversibility lets you roll back any move in one click, singly or as a batch. Most teams also set an auto-pause if a 24-hour window underperforms the baseline by more than a threshold they choose.

You pick the gate. Every suggestion arrives as a draft you review, and you can run that way for as long as you like, or loosen it per channel or per campaign as trust builds. Many teams start in shadow mode for two weeks, where the agent proposes every move and a person confirms, then switch to autonomous where the calls have proved out. The audit trail is the same either way.

No. It changes their job. The manual lifecycle of variant generation, A/B execution, fatigue detection, spend reallocation, hypothesis testing and reporting moves to the agent. Your team keeps the seats that matter: narrative, brand voice rules, channel mix, escalation thresholds, quarterly strategy and the final brand pass on flagship creative.

The agent acts from day one and learns from your historical context the moment Feather is connected, so there is no warm-up tax. Managed customers typically see directional signal in week one. DIY customers see meaningful KPI movement inside 30 days. The cohort median is +25% ROAS in the first 90 days, measured against each account's own pre-Hawky baseline.

Through Feather, the memory layer underneath it. Every test outcome, winning creative and audience that worked or did not is captured, weighted by recency, and propagated to similar geos when a pattern is statistically meaningful. Week one the agent is good. By week twelve it holds hundreds of patterns specific to your brand.

No. Connecting Meta, Google, YouTube and TikTok is OAuth-based and takes a performance lead about fifteen minutes. Feather ingests your history within a day. If you want custom escalation hooks into Slack or a webhook, an engineer needs an afternoon. Fully Managed customers do not touch setup at all.

Inside Feather, in your environment. It is one embedded file, with no third party in the loop and nothing leaving for training. Hawky does not train foundation models on customer data. If you cancel, you keep your data, your decision log and a Feather export.

A monthly subscription minimum keeps the agent running. The larger share is tied to your KPI moving, so Hawky earns more when you do. Most engagements start as a pilot on one account or one channel with the success metric agreed upfront, and expand once the number moves. Specifics are shared on a 30-minute call once we know your spend, channels and KPI definition.