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Running the paid media behind
the brands you know

Your ads never log off. Now your media buyer doesn’t either.

Hand it your KPI. It plans, launches and tunes every campaign around that number across , day and night, and logs every move.

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  • Claude
  • ChatGPT
  • Gemini

  • Optimizes against your KPI, not engagement.

    Budget moves to whatever returns most, and what doesn't gets cut.

    Across 200+ accounts.

  • It cuts waste before it compounds.

    Ad sets that spend without converting get paused, and the winners get their budget.

    Across 200+ accounts.

  • It never waits for the next planning meeting.

    It writes, launches and reads its own tests. Bhanzu was testing in week one.

  • Yesterday's leak, caught last night.

    Spend spikes and broken tracking get caught when they happen, not the next morning.

  • Never start from a blank page.

    It watches competitors' creatives, hooks and claims, and tests what's working.

How it operates

Agents do the labor. You do the judgement.

The Performance Agent runs three kinds of agent against your goal: goal agents that think, rule agents that enforce, research agents that report. Everything they want to change lands in one place for your call, and every result is written back to memory for the next run.

Performance AgentRuns them, coordinates them, remembers what worked.
running
Goals Live0
Agents Live0
Pending Actions0
Learnings0
Activity100 events
US - Pause - Spending Issue run success51m ago
ANZ - Pause - 0 Conversions run success51m ago
US - Pause - CPL Underperforming run success1h ago
Goal agents Think.1 running · daily
Active Goals0
Hypotheses Generated0
Hypotheses Validated0
Learnings0
Active⋮
Meta Outcome Sales: Boost CTR
CTR0.36›0.43+19%
CTR over last 30 days · Daily · 09:00 UTC
Agent suggestions
Pause 2 zero-CTR awareness ads dragging account CTR
Draft2 rowsReview & Execute →
Never acts alone. Every draft waits for your call.
Rule agents Enforce.6 running · every hour
Works on the level it reads and acts on
CampaignAd set✓ AdAccount-level notification
When should it act?
IFTrendCTRfalls by15 %VS7-day baseline
ANDORevery condition must be true
Active ad countis greater than5
+ Add condition
Guardrails
cooldown 6hmax 3 / daylearning phase keptrollback 15% / 48h
Then
✓ Apply automaticallyWait for review
Catches the 2am burn before you are awake.
Research agents Report.4 running · scheduled
Type
Creative analysisMonthlyAI insights on your creative performance, with an optional benchmark.
Competitor reportWeeklyWeekly performance summaries and new-creative detection for competitors.
✓
Ad alertsDailyAnomaly and opportunity alerts on live ad performance.
Schedule when it runs
WeeklyMonday07:00
Deliver to
SlackGmailTeams
Attachments
Report PDFPresentation PPTX
Lands as a report and a Command Center task.
Your call
Pending actions
20
Pause2 items · Chat · May 8, 11:40 AM
View source ⌄
Duplicate1 item · Chat · May 7, 04:16 AM
View source ⌄
AcceptRejectModifyBrief
apply automatically, inside your limitswritten back · 306 learnings

Connected to your stack. Fluent in your brand.

It connects to your ad accounts and your bottom-funnel data in fifteen minutes, with no engineering. Then it reads eighteen months of your account, your brand kit, your tone, your approved claims and your competitors, and works inside them. By the end of week one it is part of the team: reporting where you already work, asking before it acts.

01 · Connects

Your ad accounts and bottom-funnel data, in 15 minutes.

02 · Learns your brand
Brand kitLogo, colours, type, lockups
✓
Tone of voicePlain, confident, no discounting
✓
Competitors trackedNike, adidas and ASICS, every ad they run
✓
Goals, caps and rulesSet by you, kept by it
✓
03 · Part of your team
your team, plus one that never logs off

Reports where you work. Asks before it acts.

Customer success story: Bhanzu

“Instead of just spending the first week figuring out what to test, we're already testing it.”
Pramod · Director of Acquisition, Bhanzu
10Hypotheses ready to test in week one

Bhanzu's acquisition team stopped brainstorming 20 to 30 problem statements. The Performance Agent gave them 10 hypotheses to test in week one and tracks progress on each.

The loop

The media buyer's loop, at machine speed.

You set the goal and the limits. The loop tests, tracks, optimizes and scales against them, every minute the auction is open. FeatherDB remembers every result for the next round.

Scroll to step inside each stage ↓

01 · Test

Every move starts as a hypothesis.

Before anything changes, the agent writes down the bet: the audience, bid or creative it will change, the result it expects, and what would prove it wrong. You approve the test, the variants go live, and the numbers decide.

Runs on Meta, Google Ads, YouTube and TikTok.

10×hypothesis velocity
100%of results kept as learnings, win or lose

The example follows one illustrative test on PUMA's public NITRO ads, with example figures: a bold “TOO FAST” claim tested against product and lifestyle shots on Stories.

What happens to this hypothesis

  • If it wins: “TOO FAST” hits 0.52% CTR, 37% above the product shot and past the 15% bar.validated
  • If it misses: by day 5 it falls short of the 15% bar, so the variants pause.invalidated
  • Win or lose, FeatherDB keeps the learning, so the same bet is never paid for twice.learning
  • The next move waits for you: more budget behind a winner, or the next hypothesis after a miss.your call

02 · Track

Every signal, every minute, around the clock.

On day one, the agent loads your past campaigns into FeatherDB and learns what normal looks like for your brand. Then it watches every channel and the tools you already use, and catches fatigue, CPA drift, spend spikes and broken tracking as they start.

Reads the bottom funnel from tools like HubSpot, Salesforce, AppsFlyer and Google Analytics 4.

24/7on every connected account
18 moof history loaded in 24 h

The example continues the illustrative PUMA NITRO test on day 3, with example figures, following the “TOO FAST” claim.

What it caught on this test

  • Fatigue: frequency holding at 1.8.fresh
  • CPA drift: 14% below the control.on track
  • Spend spike: 2:14 am, owner alerted.caught
  • Tracking: Meta vs GA4 in usual range.verified

03 · Optimize

Budgets shift. Winners scale. Losers pause.

You set the goal, whether ROAS, CAC, LTV or margin, and the caps around it. The agent moves bids and budget toward that goal and nothing else. Every move comes with its reason, a confidence score and a one-click rollback, and anything past your limit waits for you.

160+ hrsof routine ops handed back, per brand, monthly
1 clickto roll any move back

The example continues the illustrative PUMA NITRO test, with example figures, following the “TOO FAST” claim.

What it moved on this test

  • Cost cap raised $42 to $48, inside your limit.applied
  • Budget +20% on “TOO FAST”: above your limit, so it waits.your call
  • Stories spend spike at 2:14 am held, reversed by 7 am.rolled back

04 · Scale

Week twelve knows what week one didn't.

“TOO FAST” won on Stories, so it is now a test in Feed and three new states, and no one had to set that up. Every result is written back to FeatherDB, so the account learns what works repeatedly.

+25%average ROAS in 90 days
−43%CAC in competitive categories
600+brand patterns by week 12

Averages across live customers.

The example continues the illustrative PUMA NITRO test, with example figures, following the “TOO FAST” claim.

What happens next

  • Feed, California, Texas and New York run as fresh tests: a new hypothesis each.testing
  • Learning 307 saved to FeatherDB. Recent wins weigh more, stale ones fade.remembered
  • The next test starts from what already worked, not from a blank page.loop
Watch the loop run on your data

FeatherDB · the memory

Smart memory. Faster agents.

Every creative is stored as its parts: hook, claim, colour, format, audience, result. The parts are linked, and weighted by how recently and how often they won. The agent reads it in one lookup before every move, and writes the result back after.

FeatherDB · the memory. Every creative is stored as its parts: hook, claim, colour, format, audience, result. The parts are linked, and weighted by how recently and how often they won. The agent reads it in one lookup before every move, and writes the result back after.

Customer success story: Swiggy Instamart

“The impact was visible almost immediately in the numbers.”
Nandani · Growth Lead, Swiggy Instamart
45 to 50%CTR lift

Swiggy Instamart gave the Performance Agent one bottom-funnel goal the team had struggled to move. It built and tested hypotheses the team had not thought to explore.

Before and after

The same week, with the agent on.

The week as the team does it today, and the same week with the agents on it. Times on the left are what the team typically spends.

~3 hrshands-on time
9handoffs
~5 minhands-on time
0handoffs

The same 5 people set the goals, caps and rules the agents run inside.

Before
Designer
Designer
Get the brief on Wednesday
2 days late
Brand manager
Brand manager
Turn the review into next steps for the studio
~30 min
CMO
CMO
Argue the fatigue calls in the Monday review
~1 hr
Performance marketer
Performance marketer
Build the creative report deck
~2 hrs
Creative head
Creative head
Tag winners, fatigue, and what to kill
~45 min
Performance marketer
Performance marketer
Export last week's ad-level data from Meta and Google
~40 min
Performance marketerCreative headCMOBrand managerDesigner5 people · 9 handoffs
A week of catching up.
After
Performance Agent, one accountOne week, as it happenedmon 07:00
You set goals, caps, rulesyour call
Delivers the weekly creative reportmon 07:00
New competitor creatives and spend shiftsmon 09:00
Hypothesis: two awareness ads at zero CTRtue 09:00
Stages the pause in Pending actions
4decisions
~5 minof your time
5agents
Security

Enterprise-grade control over your own ad accounts.

Official APIs in, hard caps on every move, and data that never leaves your environment or trains a model.

  • Meta Marketing APIOfficial API, OAuthHawky publishes through Meta's official Marketing API, with OAuth you grant and can revoke. No scraping, no browser bots, nothing that breaks Meta's terms. Your ad account is never put at risk by how Hawky connects.
  • Google Ads APILimited Use compliantEvery change runs through the Google Ads API under Google's Limited Use policy, the channel Google approves for partners. Nothing that breaks Google's terms. Your account is never put at risk by how Hawky connects.
  • Never trains a modelYour data stays yours
  • Hard capsSpend, change, scope
  • One-click rollbackEvery move, logged

Customer success story: Bombay Shaving Company

“In a couple of weeks we had tested more hypotheses on various levels than we usually took a quarter to do.”
Jayant · Director D2C, Bombay Shaving Company
6×Faster hypothesis testing

Bombay Shaving Company runs many products and growth loops. The Performance Agent went granular across all of them and tested a quarter's worth of hypotheses in a couple of weeks.

Everything buyers ask before they switch.

A Performance Marketing Agent is an AI agent that plans, launches, tests and optimizes your paid media against your KPI, inside the caps you set, with every move logged and reversible. Many AI ad tools surface an insight or produce one asset, like a creative variant or a recommendation, then hand it back to a person. The Performance Agent runs the whole loop itself: Test, Track, Optimize, Scale. It does the work, not just the reporting on it. And FeatherDB, its memory, keeps every result, so the account gets sharper week over week instead of resetting between campaigns.

Yes. The agent connects to Meta and Google through their official APIs, with the same OAuth sign-in you use for any reporting tool, and you can revoke its access from your side at any time. You draw the rails: spend caps, daily-change ceilings, allow-listed campaigns and escalation thresholds. Your brand lead sets the brand rules (voice, approved claims, categories that are off limits), and the agent works inside them. It cannot touch anything outside the rails you draw.

You can always step in. Every move carries the signal that triggered it and a confidence score, and any move rolls back in one click. You can pause the agent across the account or per campaign, and have it revert on its own when performance drops past a threshold you choose. Many customers start in shadow mode, where the agent proposes every move and a person confirms it, then move to approval-gated, then to autonomous inside their caps.

A monthly subscription keeps the agent running, and the upside is paid only when your KPI moves. We share the specifics on a call, once we know your spend, channels and KPI. And yes, you can start with a pilot: one account, a success metric we agree upfront, and you expand once the number moves.

No. It changes the job. The routine work moves to the agent: A/B execution, fatigue detection, budget shifts, hypothesis testing, competitor tracking and reporting. Your people keep the calls that matter most: strategy, channel mix, brand voice, escalation thresholds and the final say on flagship creative. You also approve each new test, including new audiences and geos. Agencies run Hawky for the brands they manage, and if you'd rather not operate it yourself, we can run it for you.

Connecting your ad accounts takes about 15 minutes over OAuth, with no engineering needed, and results start in week one. Across live customers: a median +25% ROAS uplift within 90 days, and 43% lower CAC in competitive categories. Those are cohort figures, not guarantees.

Meta, Google Ads, YouTube and TikTok. The agent plans, launches and optimizes campaigns on all four today, and more channels are on the roadmap.

No, we do not train foundation models on customer data. Each account's memory, FeatherDB, is kept separate from every other account's. It holds your hooks, audiences, brand rules, competitor moves, spend outcomes, test results and the decisions taken on them. Aggregated, anonymised signals are shared across accounts only if you opt in. FeatherDB is included with the Performance Agent, not a separate purchase. Self-hosting is available for enterprise customers; talk to us about the deployment that fits your security review.

The agent disconnects from your ad accounts, and you can revoke its access from your side at any time. Your campaigns and billing stay in your own ad accounts, where they always were, and your data is deleted on request.

The agent works against the KPI you report on, using the attribution model you already trust. It reads bottom-funnel results from the tools you connect (GA4, your CRM, your MMP), and it flags broken tracking, for example when platform-reported conversions stop matching GA4.

One day, agents will run your ads while you run the strategy. That day is today.

Meet your agent →