meta-bid-strategy-selector

Bid Strategy Selector

Advisor for selecting the optimal Meta Ads bid strategy based on goals, budget, and account situation.

Quick Selection Guide

WHAT IS YOUR PRIMARY GOAL?
│
├─► Maximum volume (leads/sales)
│   └─► LOWEST COST (Highest Volume)
│
├─► Keep CPA under control
│   └─► COST CAP
│
├─► Strict margin requirements
│   └─► BID CAP
│
└─► Profitability focus (e-commerce)
    └─► ROAS GOAL (Minimum ROAS)

Bid Strategy Overview

Strategy	Control	Risk	Best For	Min. Data
Lowest Cost	None	Low	Beginners, volume	Little
Cost Cap	CPA target	Medium	CPA constraints	50+ conv/week
Bid Cap	Max bid	High	Competitive niches	100+ conv/week
ROAS Goal	Min ROAS	Medium	Profitability	50+ conv/week + CAPI

Lowest Cost (Highest Volume)

How It Works

Meta gets as many results as possible within your budget, without a CPA limit.

When to Use

• New accounts with little historical data
• Learning phase (first 2-4 weeks)
• Volume more important than efficiency
• Unsure about realistic CPA targets
• Brand awareness campaigns

When NOT to Use

• Strict CPA requirements
• Limited budget with margin pressure
• Competitive auctions where CPA can spike

Setup

Campaign Settings:
├── Budget optimization: Advantage Campaign Budget or Ad Set Budget
├── Bid strategy: Highest Volume
├── No cost controls: Leave empty
└── Conversion goal: Select optimization event

Expectations

• CPA fluctuates day-to-day
• AI optimizes for volume, not efficiency
• Best baseline for new campaigns

Cost Cap

How It Works

Meta keeps average CPA around your target. May temporarily exceed but balances over time.

When to Use

• Known target CPA (from historical data)
• Lead gen with fixed lead value
• E-commerce with known break-even CPA
• Scaling while monitoring efficiency

When NOT to Use

• No idea of realistic CPA
• Cap set too low (delivery stops)
• New accounts without benchmarks

Setup Best Practices

Cost Cap Calculation:
├── Break-even CPA: [AOV x Margin] or [Lead Value x Conv Rate]
├── Starting point: 1.2x break-even (room for learning)
├── After 1-2 weeks: Tighten to 1.0-1.1x
└── Never: Start below historical average

Example E-commerce:
- AOV: €80
- Margin: 40%
- Break-even CPA: €80 x 0.40 = €32
- Starting Cost Cap: €38 (1.2x)
- Target Cost Cap: €32-35

Troubleshooting

Issue	Cause	Solution
No delivery	Cap too low	Increase 10-20%
CPA above cap	Learning phase	Wait 3-5 days
Unstable delivery	Cap too tight	Increase to 1.1x target

Bid Cap

How It Works

Set maximum bid per auction. Meta never bids more, even if it costs conversions.

When to Use

• Competitive niches (finance, real estate, SaaS)
• Strict margin requirements
• Predictable costs are crucial
• Experienced advertisers with lots of data

When NOT to Use

• Beginners (too complex)
• Low conversion volume
• Unknown auction dynamics

Setup Strategy

Determining Bid Cap:
├── Start: 1.5x your average CPA
├── Week 1: Monitor delivery and CPA
├── Week 2: Lower 10% if delivery is stable
├── Repeat: Until sweet spot found
└── Minimum: Never below historical lowest CPA

Example:
- Historical CPA: €25
- Starting Bid Cap: €37.50
- Week 2: €33.75
- Week 3: €30
- Sweet spot: €28-30

Pro Tips

• Test multiple bid caps in parallel across different ad sets
• Seasonal adjustment: Increase 20-30% in Q4/peak periods
• Monitor frequency: High frequency + low delivery = bid too low

ROAS Goal (Minimum ROAS)

How It Works

Meta optimizes for minimum return per euro of ad spend.

When to Use

• E-commerce with variable product values
• Profitability more important than volume
• Sufficient conversion volume (50+/week)
• Strong CAPI implementation

When NOT to Use

• Lead generation (no direct revenue)
• Inconsistent product values
• Weak tracking setup

Setup Requirements

Prerequisites:
├── CAPI active with purchase value
├── Event Match Quality >7
├── Product catalog with accurate prices
├── 50+ purchases per week
└── 28+ days of conversion data

Calculating ROAS Target:
├── Break-even ROAS: 1 / Profit Margin
├── Example: 40% margin → 1/0.40 = 2.5x break-even
├── Starting target: 80% of break-even (2.0x)
├── Scale up: Tighten toward break-even + buffer
└── Aggressive: 1.2x break-even for growth

Value Rules (2025 Enhancement)

Value Rules let you adjust bids based on predicted ROAS per segment:

Value Rule Setup:
├── Segment: High-value customers
│   ├── Criteria: Previous purchasers, high AOV
│   └── Bid adjustment: +30%
│
├── Segment: Low-value segments
│   ├── Criteria: Certain geos, devices
│   └── Bid adjustment: -20%
│
└── Formula: Bid = BaseBid x (Predicted ROAS / Target ROAS)

Budget & Scaling Strategy

Budget Allocation Framework

Total Monthly Budget: €[X]
│
├── Prospecting (TOF): 60-70%
│   ├── Advantage+ Sales: 70% of TOF
│   └── Manual testing: 30% of TOF
│
├── Retargeting (MOF/BOF): 20-30%
│   ├── Website visitors: 60%
│   └── Engagement: 40%
│
└── Creative Testing: 5-15%
    └── New concepts validation

Scaling Rules

Vertical Scaling (Increasing Budget)

Safe scaling protocol:
├── Maximum increase: 20% per 3-4 days
├── Never: >50% at once
├── Monitor: CPA after each increase
├── Trigger: ROAS >target AND stable 5+ days
└── Stop: If CPA rises >20% after increase

Horizontal Scaling (New Ad Sets)

Horizontal expansion:
├── Duplicate winning ad set
├── Change ONE variable:
│   ├── New audience segment
│   ├── New creative set
│   └── New geo/placement
├── Run in parallel with original
└── Consolidate winners after 7-14 days

Peak Period Strategy

Peak Period Planning (Black Friday, etc.):
├── 2 weeks before peak:
│   ├── Increase budgets 30-50%
│   ├── Loosen bid constraints 20%
│   └── Test new creatives
│
├── Peak week:
│   ├── Allocate 50-60% monthly budget
│   ├── Monitor hourly
│   └── Ready for quick scaling
│
└── Post-peak:
    ├── Reduce budgets gradually
    ├── Tighten bids
    └── Continue retargeting

Scenario-Based Recommendations

Scenario 1: New Account Launch

Week 1-2:
├── Strategy: Lowest Cost
├── Budget: €50-100/day minimum
├── Goal: Exit learning phase
└── KPI: 50+ conversions

Week 3-4:
├── Strategy: Cost Cap (1.2x achieved CPA)
├── Evaluate: Is CPA sustainable?
├── Adjust: Tighten cap 10% weekly
└── Scale: If ROAS >break-even

Week 5+:
├── Strategy: Maintain Cost Cap or switch to ROAS Goal
├── Focus: Scaling winners
└── Testing: 10-15% budget for new concepts

Scenario 2: Scaling Profitable Campaign

Current: ROAS 4x, spending €500/day
Target: Scale to €2000/day

Approach:
├── Week 1: €500 → €600 (+20%)
├── Week 2: €600 → €750 (+25%)
├── Week 3: €750 → €950 (+27%)
├── Week 4: €950 → €1200 (+26%)
├── Week 5: €1200 → €1500 (+25%)
├── Week 6: €1500 → €2000 (+33%)
└── Total: 6 weeks for 4x scale

Safety checks per week:
- ROAS drop >20%? Pause scaling
- CPA spike >30%? Reduce budget 10%
- Frequency >4? Refresh creatives

Scenario 3: Competitive Niche (Finance/Insurance)

Strategy: Bid Cap + Value Rules

Setup:
├── Research: Competitor bid ranges
├── Start: Premium bid cap (top 25% range)
├── Value Rules:
│   ├── High-intent keywords: +40%
│   └── Low-quality signals: -30%
├── Focus: Quality over volume
└── Tracking: Lead-to-customer rate

Optimization:
├── Weekly bid adjustments
├── Heavy creative testing (10+ variations)
├── Audience refinement
└── Landing page A/B testing

Bid Strategy Migration Checklist

When switching strategies:

Pre-Migration:
□ Document current performance (7-day average)
□ Calculate new target (CPA/ROAS)
□ Prepare for learning phase reset

Migration:
□ Implement new strategy
□ Set conservative targets (1.2x current)
□ Allow 3-5 days learning

Post-Migration:
□ Compare week-over-week
□ Tighten targets if stable
□ Document learnings

How this maps to our MCP tools today

The strategy names above map to these API values, and meta_create has defaults worth knowing before you set anything:

This guide's name	API bid_strategy value	Needs a number?
Lowest Cost (Highest Volume)	LOWEST_COST_WITHOUT_CAP	no
Cost Cap	COST_CAP	bid_amount (ad set)
Bid Cap	LOWEST_COST_WITH_BID_CAP	bid_amount (ad set)
ROAS Goal	LOWEST_COST_WITH_MIN_ROAS	ROAS target — not settable via meta_create yet

• meta_create defaults a new campaign to LOWEST_COST_WITHOUT_CAP. You only pass bid_strategy to override it, and that default is why ad sets do not need a bid_amount.
• A campaign budget is always required, so every campaign created via the tool is CBO. The cap/target strategies put their bid_amount on the ad set.
• For the full launch sequence (campaign → ad set → ads), use ad-launch-playbook.

MCP: Check Current Bid Strategy & Performance

# Pull campaign-level bid strategy and spend for active campaigns
meta_query(account_id="act_XXXXX", entity_type="campaigns", effective_status=["ACTIVE"], fields=["id","name","bid_strategy","daily_budget","status"])

# Pull ad set performance to evaluate current CPA vs target
meta_get_insights(account_id="act_XXXXX", level="adset", date_preset="last_7d", fields=["cost_per_action_type","spend","actions","impressions","ctr"])

Output: Strategy Recommendation Template

# Bid Strategy Recommendation

## Current Situation
- Monthly budget: €[X]
- Current CPA/ROAS: [metric]
- Conversion volume: [X]/week
- Primary goal: [volume/efficiency/profitability]

## Recommended Strategy
**[Strategy Name]**

### Why This Strategy
[2-3 bullets explaining rationale]

### Implementation
1. [Step 1]
2. [Step 2]
3. [Step 3]

### Targets
- [Primary metric]: [target]
- [Secondary metric]: [target]

### Timeline
- Week 1: [actions]
- Week 2: [actions]
- Week 3+: [ongoing optimization]

### Success Criteria
- [Metric 1] achieves [target]
- Learning phase exits within [X] days
- Stable delivery maintained