Product
AdsPlane runs the full daily ads cycle — the machine carries the repeated work, and the decisions stay with you. Explore each part of the loop, and the Guardrails and Approval Gate that keep you in charge.
Daily Runbook
One scheduled cycle a day — pull, analyze, and produce a reviewable plan, in your timezone.
Explore →Growth Engine
ASIN-led expansion — find and launch new keywords and targets from your strongest products, with the same safety rails.
Explore →Guardrail Policies
Versioned, seller-owned limits the engine can never cross — enforced in code, not hidden config.
Explore →Manifest & Approval Gate
Every proposed change in one reviewable plan — with a rationale and confidence on every line. Nothing runs until you approve.
Explore →Execution & Reconciliation
Apply approved actions through the official API, verify what landed, and keep an audit record of every change.
Explore →Telegram cockpit
Approve, reject, check status, or hit the emergency stop from your phone — Telegram is the primary approval channel.
Explore →AMC integration
Pull Amazon Marketing Cloud path data and let assist signals shape recommendations — not last-click ACOS alone.
Explore →Rally-Control
Opt-in intraday cycles between daily Runbooks — under their own Guardrails, with movement caps, cooldowns, and reconciliation.
Explore →ML Live Bidding
Near-real-time bidding from learning models trained on your own account — dayparting-aware, optimizing every target, and always proposing inside your Guardrails.
Explore →Placement Optimization
Put budget where it actually converts — tune Top-of-Search, product-page, and rest-of-search placement bids from real placement-level performance, with cooldown and rollback.
Explore →Multi-account scale
Run many Amazon accounts and marketplaces — with unlimited campaigns and ASINs — from one control plane, with a portfolio view, team roles, and per-account approvals.
Explore →Auto-Approval & AI narration
Autonomy you switch on — a deterministic gate, never an AI deciding to spend — climbed one rung at a time.
Explore →Choosing your intraday engine
Both work between your daily Runbooks, and both run inside the same Guardrails — but they make different bets. Rally-Control is deterministic and surgical; ML Live Bidding is a learning layer that optimizes everything. Here is how they compare, and how to decide.
| How they compare | Rally-Control | ML Live Bidding |
|---|---|---|
| Method | Deterministic same-day rules — RALLY, KEEP, BLEED, CUT — you can read line by line. | Learning models trained on your own account propose bids inside the deterministic envelope. |
| Pool of candidates | Narrow — built from your proven targets: seeded from your own data, sorted into history classes, then refreshed weekly with promotion/demotion. Spend-safety still covers any target. | Broad — every eligible target, including the long tail rules tend to leave alone. |
| Reacts to | Today’s spend and conversions so far — fast intraday reaction. | Learned demand patterns, including time-of-day dayparting, across the whole day. |
| Bid moves | Small, rule-bounded nudges on a per-tier cadence (2–6 runs/day). | Continuous, model-proposed moves on its own cadence — clamped to your caps. |
| Business value | Protects and presses same-day momentum on known winners — fast, surgical, fully explainable. | Squeezes value from the entire book and the clock — finds moves fixed rules miss. |
| Availability | Every paid plan (Starter, Growth, Pro). | Hosted Growth and Hosted Pro. |
Which should you use?
Use Rally-Control if
You manage a focused set of proven winners and want tight, rules-based intraday moves you can trace to the exact rule that fired. Great as your first step into intraday automation — and it’s on every paid plan.
Use ML Live Bidding if
You run a wide catalog, or demand swings by hour and day, and you want continuous, hands-off optimization across every target — not just the winners. The model proposes; your Guardrails still decide.
Use both together if
On Growth and Pro they’re built to coexist: Rally-Control works your proven pool while ML Live Bidding covers the long tail. They share the same execution substrate, combined movement cap, and cooldowns, so running both never double-moves a target.