BigQuery, API or Sheets — no middle layers
A stable pipe from your warehouse into the rule engine. Backend metrics sit next to platform metrics in the same builder — from basic spend and CPA to anything custom.
Automated rules of any complexity — live in minutes. Wired straight to your database, driven by your unit economics, with 5-layer budget protection — built by performance marketers with 8+ years in web funnels and subscription businesses.
From best-in-market rule presets for new teams — to any level of customization and complexity for advanced ones. Describe the strategy the way you actually run it, without splitting one idea into a dozen workarounds.
Each layer stops a failure we've seen burn real budgets, ours included. They run independently: four would have to fail before a wrong action reaches your account.
Before a rule goes live: exposure preview of exactly what it will touch, conflict detection against your existing rules, and loop checks — so two rules never fight over the same budget.
No action runs on old or broken data. Every metric carries its freshness; a stalled or corrupted feed halts dependent rules — and you get the alert instead of the damage.
Anything outside business-as-usual gets caught and stopped: per-run money caps, cooldowns between actions on the same object, hard spend limits per account.
Watches more than your rules: account-level performance anomalies raise alerts even when every individual rule looks fine — so nothing fails silently at scale.
For every object — why the rule fired, or why it didn't, and what exactly was done. Every move pushed to your analytics via webhooks and export.
Most tools see what the pixel sees. Your buying decisions live in your database — so that's where the rules should look.
A stable pipe from your warehouse into the rule engine. Backend metrics sit next to platform metrics in the same builder — from basic spend and CPA to anything custom.
Rules read users' LTV and backend purchases as soon as they hit your database — not hours later, when pixel events catch up.
Every metric shows when it last updated. If data stops flowing, dependent rules hold and you're alerted first — before a stale number moves a budget.
Describe the strategy in your own words — get draft rules back. The AI adapts thresholds to season and geo, finds conflicts and duplicates across your rule park, and keeps rules from going stale. It executes only what you approved.
Plain language in, reviewable drafts out.
Conflicts, overlaps and dead rules surfaced automatically.
Proposed, never silently applied.
Connect your ad accounts in a couple of clicks. The AI reads your existing automated rules — from Meta, Bïrch or your in-house system — and rebuilds them here in a couple of clicks, mapped to your metrics. Then run ZLIT read-only next to your current stack and compare decisions with your own eyes before you move a single budget.
Rules from Meta, Bïrch or your in-house system, moved in a couple of clicks.
Nothing to uninstall, nothing to risk.
Read-only first: see where the engines disagree, then choose. From observing to full autonomy under caps — one step at a time.
An in-house tool is never one sprint — it's maintenance forever: platform APIs change, scripts fail at night, the author eventually quits. We ship the same engine as a product — with SLAs, a full log and protection layers deeper than an internal team has time to keep alive.
Connect your accounts, let the AI migrate your existing rules and watch them run read-only next to your current stack. Or book a free 20-minute demo first: where your rules are blind to your economics, which ones conflict, and where your data goes stale.