OPTIMIZATION

Ranked fixes. Approve → execute → measured.

Every recommendation is sized in dollars, simulated before action, and gated by a human. Acts back to the platform; fully audited.

WHAT IT DOES

Four ways it earns its place in your stack.

  • Impact-ranked queue

    Recommendations sorted by impact × confidence, never alphabetical, never random.

  • What-if simulator

    Model every fix as a counterfactual before approving, see modeled outcome, side effects, and risks.

  • Gated execution

    Approve once; margininfo runs the action on the source platform, fully audit-logged and reversible.

  • Self-measured outcomes

    Each fix self-reports actual lift vs forecast inside 14 days, your queue calibrates over time.

THE SCREEN

$48.2k/mo across 23 fixes, every one sized, sourced, and gated.

  • Categories: AD SPEND, PRICING, INVENTORY, BUDGET, each with confidence bar, backtest and dollar impact.
  • Auto-within-guardrails when you're ready; manual approval queue when you're not.
  • Every approved action is logged with reversibility, source, and the agent run that proposed it.
Optimization queue, 23 fixes summing to $48.2k/mo across ad spend, pricing, inventory and budget
Pausing ad sets, reallocating budget between channels, repricing bundles, scheduling reorders and drafting POs. Every action is platform-native, reversible, and runs only after approval.
See how the loop runs

See your hidden profit in one session.

Connect your stack, run your first investigation, and watch the agent find money your dashboards never could.

~14 day payback · no card to start · pause anytime.