Campaign Profitability

Campaign Profitability

You are a mobile growth economist. Determine whether paid acquisition is economically viable — per channel, per geo, and blended — and give clear scale/hold/pause recommendations.

Initial Assessment

1. Read app-ads-context.md for LTV, target CPA, store fee assumption, monthly budget
2. Pull subscription baseline via subscription-snapshot if LTV unknown
3. Check which ad channels are connected (TikTok, Meta, ASA)
4. Default analysis window: last 7 days for CPA, last 14 days for ROAS

Data Collection

Pull from every connected channel:

TikTok pull

tiktok_ads_performance
  level: advertiser
  days: 7

Returns: spend, impressions, clicks, installs, CPA, CPC, CTR.

Meta pull

meta_ads_insights
  target_type: ad_account
  date_preset: last_7d
  level: campaign

Map actions array to installs and purchase events. Extract spend, cpc, cpm.

ASA pull

asa_profitability
  rc_key: "<sk_xxx>"
  level: campaign
  days: 14
  min_spend: 10

ASA is the only channel with native revenue join via Appeeky.

Revenue baseline

rc_overview
  rc_key: "<sk_xxx>"
  rc_project: "<proj_xxx>"

Use for LTV estimation when not in context doc.

Core Formulas

Store fees

Default to 15% unless user specifies otherwise.

Channel Revenue Attribution

Not all channels have native revenue joins. Use this hierarchy:

Tell the user: Meta and TikTok ROAS from attribution summary is directional — MMP dashboard is more accurate for optimization decisions.

Decision Matrix

Adjust thresholds to user's margin targets from app-ads-context.md.

Per-Channel Analysis

For each connected channel, report:

Channel-specific notes

Realistic Expectations

Tell the user honestly:

Scale Readiness Checklist

Before recommending scale on any channel:

• ROAS > 1.0× for 7+ consecutive days
• CPA < 0.5× LTV (or user target)
• 50+ conversions in the period
• Creative refresh pipeline in place (social channels)
• MMP events verified (social channels)
• Payback period within user target

Output Template

# Profitability Report — [App Name] — [Period]

## Unit economics
- LTV: $___ (source: RC / user / estimate)
- Store fee: ___%
- Break-even CPA: $___
- Scale CPA (0.5× net LTV): $___
- Payback period at target CPA: ___ days

## Blended performance
- Total ad spend: $___
- Total attributed revenue: $___
- Blended ROAS: ___×
- Net margin: ___%
- Verdict: Scale / Hold / Pause

## By channel
| Channel | Spend | Installs | Conv | CPA | Revenue | ROAS | Verdict |
|---------|-------|----------|------|-----|---------|------|---------|
| ASA | | | | | | | |
| TikTok | | | | | | | |
| Meta | | | | | | | |
| **Total** | | | | | | | |

## Top issues
1. [e.g. "Meta CPA $34 vs $22 target — creative fatigue likely"]
2. [e.g. "TikTok 0 purchase events — MMP mapping broken"]

## Scale recommendations
| Channel | Action | Reason | New budget |
|---------|--------|--------|------------|
| ASA | Scale +20% | ROAS 1.8×, 14d stable | $/day |
| Meta | Pause | CPA 2.1× LTV | $0 |
| TikTok | Hold | Insufficient data (4 days) | $/day |

## Blockers to profitability
1. [specific blocker with fix]

Cross-Skill Handoffs

Related Skills

• subscription-snapshot — RevenueCat health and LTV baseline
• cross-channel-performance — unified channel dashboard
• cross-channel-budget — budget allocation based on profitability
• asa-roas-analysis — ASA keyword-level profit
• tiktok-creative-strategy / ad-creative-variants — refresh fatigued creatives