Agentic Media Buying

Build the media buyer that works like you.

Train a personal media buying agent that follows your playbook and shifts spend on your behalf.

Book a demo

Run

Scaling winners ran automatically · Mon 8:00

It’s Monday morning, 8am.

As always, I will look for winners to scale.

Scaling winners is running…

Propose & review

2 proposals · 1 approved, 1 rejected

Based on your rules, here’s what you should scale:

Skincare US→$2,000$3,000/day

40 orders · ROAS 4.2×, well above your 2.0× floor

ApproveRejectApplied in Ads ManagerIn Ads Manager

Supplements UK→$400$800/day

7 orders · ROAS 2.4×, just past your floor

ApproveReject

Why did you reject this change?

I’ve already scaled this one this morning.

Learn

Memory updated+1 rule

Expected precision86%→89%

From firefighting to flow.

The same Tuesday morning, two ways.

Without an agent

Tuesday · first alert 06:42

Sleep

5h 18m

Phone buzzing
until 1am

Weekly target

−12%

And drifting

Coffees by 9

All cold.
None enjoyed

06:42 Awake. Already losing money. −$1,180

07:08 CPA up 22%. Pants not yet on. CPA +22%

07:24 CMO Slacks "are we okay?" read 07:24

13:50 Lunch. Granola bar at desk. 90 cal

With Converge

Tuesday · alarm 08:30

Sleep

7h 52m

Slept through.
No alerts

Weekly target

+4%

Ahead of plan

Coffees by 9

Hot.
Sat down

06:12 You: asleep. Agent: paused 3 outliers. +$4.2k saved

08:03 Awake by daylight, not by Meta. phone: silent

09:00 Slack ping: performance update, everything you need. 40s read

13:00 Lunch. Outside. 650 cal

Autopilot in 90 days.

Every approval, every rejection, every prompt teaches the agent your playbook. By month three, it's making the calls you would, all on its own.

Phase 01Days 0–30

Assistant

Use it as your Jr. media buyer. Ask questions, walk it through your accounts, share your playbook. It learns how you think.

Phase 02Days 30–60

Copilot

The agent proposes spend changes throughout the day. You approve or reject. Each decision sharpens its judgment.

Phase 03Days 60–90

Autopilot

Notifications shift from "approve this plan" to "budget changed to $4,200." Your accounts are watched 24/7.

Your agent. Your playbook.

Knows your strategy, runs on real conversion data, and gets sharper every day. All within rules you set.

Your rules, sharper every week.

Creative tests, scaling triggers, kill thresholds. Write them once, and the agent tunes them as it learns your account.

Built on first-party data

Server-side events, deduped conversions, attributed revenue. One source of truth.

Guardrails

You approve every change, with the reasoning, metrics, and rule that fired it.

Full context

Your priorities, budgets, and targets. Same context a senior buyer has.

Watched 24/7

Accounts monitored around the clock. Outliers get caught at 6am, not at standup.

Why a generic agent falls short.

Vibe-coded agents shouldn't get the keys to your spend.

Generic AI Claude, Manus, OpenClaw

Your Converge agent Trained and trusted

Strategy

Generic AIDoesn't know your strategy. Endless skill building

Converge agentLearns your strategy through every approval and rejection

Data

Generic AILacks ground-truth conversion data

Converge agentIndustry-leading server-side tracking and MTA

Reliability

Generic AIBrittle automations you have to maintain and debug

Converge agentConsistent workflows through deterministic tooling

Security

Generic AIVibe-coded agents get the keys to your spend and ads

Converge agentGranular guardrails built for media buyers