What does this skill do, and when should you use it?
This skill plans bidding for new or restructured paid campaigns using tCPA, tROAS, max-conversions, or manual CPC. It derives a starting target from the user’s CPA, ROAS, and conversion history while labeling each metric as Measured, User-provided, or Estimated. It groups campaigns into portfolios that share a goal and target, then defines learning-phase entry, exit, and change restrictions. When usable conversion history is missing, it requests an export or recommends starting with max-conversions without a target.
Reads the campaign goal, CPA/ROAS history, conversion volume, current bid strategy, campaign set, budgets, and structural constraints; applies the built-in strategy-selection matrix; derives an initial tCPA or tROAS from trailing performance and labels the inputs; produces a bid-portfolio grouping map; estimates the conversions needed to exit learning, sets a do-not-touch window, and flags target, budget, or structural changes that could reset learning; emits a reusable handoff summary and, after user confirmation, can save the result under memory/ad/bid-strategy-planner.
- A paid-media operator launching a direct-response campaign needs to choose tCPA or another strategy from recent CPA and monthly conversion volume.
- A team restructuring campaigns from manual CPC to automated bidding needs a starting target that will not unnecessarily restrict delivery.
- An ads manager with several search campaigns needs to group campaigns into portfolios with shared goals and targets.
- A team with thin conversion data needs an entry and exit plan for a max-conversions learning period.
- A team preparing to scale needs to identify changes large enough to reset learning and route the risk to the ad-account auditor.
How do you install this skill?
- Do not treat rules such as 30 conversions, 15–30 conversions to exit learning, or 15% adjustment steps as guarantees from any ad platform; verify them against current platform documentation and account data.
- Before saving to memory, confirm that client, audience, and account-export sensitive data are excluded or appropriately protected, and review host access and backup controls.
- This skill plans initial bidding but does not execute platform changes; any live modification should receive separate confirmation and have a reversible plan.
- The publisher is not verified by the FollowSkills enterprise registry, so maintenance continuity and provenance should be checked manually.
- Local filesystem
This skill is part of the Aaron Marketing Skills collection. In Claude Code, run: /plugin marketplace add aaron-he-zhu/aaron-marketing-skills, then: /plugin install aaron-marketing@aaron. On compatible Agent Skills hosts, run: npx skills add aaron-he-zhu/aaron-marketing-skills; alternatively run: git clone https://github.com/aaron-he-zhu/aaron-marketing-skills. Use the repository folder ad/orchestrate/bid-strategy-planner/ as the skill directory. The supplied material does not document host-specific steps for manually enabling only this skill.
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/aaron-he-zhu/aaron-marketing-skills.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/ad/orchestrate/bid-strategy-planner" ~/.claude/skills/
rm -rf "$tmp"Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.
How do you use this skill?
Once installed, send your agent any of these to trigger it:
- Pick a bid strategy for my search campaign: direct-response goal, past 30 days $42 CPA and 90 conversions per month.
- Set a starting tROAS target for this campaign—history is 3.8x ROAS and the goal is 4.5x.
Provide a campaign name, goal, recent CPA or ROAS, and conversion volume. Example: “Pick a bid strategy for my search campaign: direct-response goal, past 30 days $42 CPA and 90 conversions per month.” Another example is: “Set a starting tROAS target for this campaign—history is 3.8x ROAS and the goal is 4.5x.” If no conversion history exists, provide a last-30-day CPA/ROAS and volume export, or start with max-conversions without a target. The skill does not allocate budgets or monitor live pacing.
What are this skill's strengths and limitations?
- Covers tCPA, tROAS, max-conversions, and manual CPC selection.
- Requires the starting-target derivation and source label for each input metric.
- Includes portfolio grouping and learning-phase protection planning for new or restructured campaigns.
- Runs at Tier 1 with user-provided data and does not require live ad-platform access.
- Clearly separates bidding plans from budget allocation, live pacing, and account auditing.
- Without conversion history, it cannot responsibly set a tCPA or tROAS target and must request data or start without a target.
- The exact thresholds and derivation details depend on referenced repository materials whose contents were not provided here.
- It plans the initial bidding setup but does not allocate budgets, adjust live pacing, or score the account.
- Saving results requires host access to the memory directory; the supplied material does not describe persistence on other hosts.
- The supplied skill text provides no standalone test-suite or platform-specific validation evidence.
How does this skill compare with similar options?
Side by side with related skills; every score comes from the same FSRS standard.
| Skill | FS score | Stars | Last updated | License |
|---|---|---|---|---|
| Paid Ads Bid Strategy Planner this page | 58 · Recommended | ★ 3k | 12d ago | Apache-2.0 |
| Paid Conversion Value Mapper | 57 · Use with care | ★ 3k | 12d ago | Apache-2.0 |
| Paid Ads Campaign Architect | 57 · Use with care | ★ 3k | 12d ago | Apache-2.0 |
| Paid Ads Conversion Signal QA | 56 · Use with care | ★ 3k | 12d ago | Apache-2.0 |
| Paid Measurement Loop | 54 · Use with care | ★ 3k | 12d ago | Apache-2.0 |
Compared with budget-optimizer, this skill selects the bidding strategy and learning-phase targets rather than allocating spend across campaigns. Compared with budget-pacing-monitor, it plans pre-launch learning-phase entry rather than monitoring live delivery. Compared with ad-account-auditor, it produces the bidding plan rather than running the ROAS account gate or launch go/no-go audit.
How did FollowSkills review this skill?
The skill treats exports as untrusted input, relies primarily on user-provided data, avoids requiring live credentials, and saves results only after user confirmation. It does not fully specify sensitive-data handling, rollback after memory writes, permission isolation, or source verification, so 9 points are deducted.
Inputs, decision gates, missing-data handling, target derivation, learning-phase controls, and failure branches are described coherently, and invented metrics are prohibited. However, static material does not prove executable key paths; some shared references are not supplied, and abnormal-input diagnostics and test coverage are limited, so the score is 9 under the static ceiling.
Triggers, inputs, outputs, and non-fit boundaries are clearly stated, with Chinese terminology and a Tier-1 manual-export path. However, geo-relevance is marked low, and evidence for platform-specific behavior, regional fit, and finer false-trigger boundaries is limited, so 4 points are deducted.
The skill has structured frontmatter, versioning, an Apache-2.0 license, Quick Start examples, a contract, save-path guidance, reference pointers, and next-skill routing. Maintenance ownership, update path, changelog, installation details, FAQs, and referenced-file contents are not sufficiently shown, and publisher identity is unverified, so 5 points are deducted.
The declared output includes a strategy, target derivation, portfolio map, and learning-phase plan, making the core planning result directly usable. The thresholds and formulas are explicitly estimates, and no real output or third-party execution evidence is provided; human review remains necessary, so the static maximum of 7 is applied.
The skill, matrix, repository tests, and CI materials provide some auditable primary evidence, and key numeric rules are labeled Estimated. There is no independent reproduction, third-party corroboration, or dedicated test evidence covering this skill's key paths, so the static maximum of 5 is applied.
Open a dimension to read why it scored that way
Evidence confidence：Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.
See the full review method →