Agent skill · marketing growth · aiskillstore
bid-strategy-planner
Use when the user asks to "pick a bid strategy", "set a tCPA/tROAS target", or "plan the learning-phase entry"; produces a bid-strategy choice (tCPA / tROAS / max-conversions / manual CPC), the starting target math, a portfolio grouping map, and a learning-phase entry plan. Not for splitting the budget across campaigns — use budget-optimizer; not for in-flight pacing/scale moves — use budget-pacing-monitor; not for scoring the account — use ad-account-auditor. 出价策略/tCPA目标/tROAS/学习期
Why this skill is useful
Provides a structured approach to selecting bid strategies and setting targets based on historical data, which the AI wouldn't reliably generate on its own.
What it needs
About 5k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Bid Strategy Planner Chooses the bid strategy for a paid campaign — tCPA, tROAS, max-conversions, or manual CPC — sets the starting target from the account's own conversion history, groups campaigns into a bid portfolio, and lays out a learning-phase entry plan. This is the plan skill that sets the ROAS S (Spend-efficiency) bidding lever; it does not allocate the budget (budget-optimizer), does not adjust pacing in-flight (budget-pacing-monitor), and does not score the account or run the vetoes (ad-account-auditor). Quick Start Output: a named bid strategy with rationale, the starting target and how it was derived (labeled Measured / User-provided / Estimated), a portfolio grouping map, and a learning-phase entry/exit plan. Skill Contract Reads: ROAS profile (direct-response prospecting incremental-profit), conversion history (CPA / ROAS + conversion volume from the user's own GA4/ecommerce export), current bid strategy if restructuring, campaign set + budgets, and any minimum-daily-conversion or account-structure constraints. Connector data via ~~web analytics / ~~ecommerce (own-data manual export) when available. Writes: a bid-strategy recommendation (strategy + starting target + portfolio map + learning-phase entry plan) and a reusable handoff summary. Save path: memory/ad/bid-strategy-planner/YYYY-MM-DD-<campaign>.md. Promotes: the chosen strategy, the locked starting target, and the portfolio grouping — propose durable decisions as pending-decision items in memory/open-loops.md; do not write memory/decisions.md directly. Done when: 1. One bid strategy is named with a rationale tied to the goal and the conversion-volume threshold. 2. The starting target is stated with its derivation, and every input metric is labeled Measured / User-provided / Estimated. 3. A learning-phase entry plan names the conversions-to-exit estimate and the do-not-touch window. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/bid-strategy-planner