MarketPulse Channel Mix Optimizer is a paid API for AI agents from marketpulse-brown.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-13).
Returns optimal marketing channel allocation with budget percentages, ROI expectations, and a first-30-days action plan for a given business.
Where should this marketing budget actually go? Channel mix recommendation with specific budget percentages per channel, ROI rationale, a test-budget allocation and a first-30-days action plan for a given business type, budget and stage. For media-planning, paid-media and growth agents.
A structured breakdown of recommended marketing channels with percentage budget allocations for each, projected ROI expectations per channel, and a concrete first-30-days action plan with prioritized tasks and milestones.
GEThttps://marketpulse-brown.vercel.app/api/market/channel-mixUse this endpoint when a marketing or growth agent needs a data-driven, ready-to-act channel allocation plan with explicit budget percentages and ROI benchmarks rather than just raw market data or ad copy. Ideal for businesses planning a new marketing strategy or reallocating existing budgets across multiple channels.
| Field | Type | Description |
|---|---|---|
| lang | string | Language to respond in — defaults to English |
| goals | string | Primary marketing goal to optimize the mix around |
| stage | string | Business stage — startup, growth, or scale |
| budget | string | Monthly marketing budget, with currency and period |
| business_typerequired | string | The business or offer to plan a channel mix for |
{
"type": "json",
"example": {
"avoid": [
"Broad-match Google Search without geo-fencing — burns budget on out-of-area clicks"
],
"disclaimer": "Channel performance varies by market, competition, and execution quality. These are directional benchmarks based on current industry data.",
"test_budget": {
"why": "Low-risk way to build the review base that improves Local Services Ads ranking",
"amount_pct": 10,
"where_to_test": "Meta retargeting for review requests"
},
"clv_modeling": {
"note": "Surface when user asks about customer value or whether marketing spend is sustainable",
"cac_ltv_ratio": "Healthy: LTV:CAC > 3:1; concerning: < 2:1"
},
"amazon_search": "Traction by Gabriel Weinberg and Justin Mares",
"channel_notes": {
"email": "Useful for maintenance-plan reminders and repeat business",
"paid_search": "Google Local Services Ads and Search convert emergency-intent traffic well",
"paid_social": "Meta works for review-based retargeting but rarely for emergency-intent leads",
"organic_search": "Local SEO compounds but typically takes 3-6 months to show results",
"content_organic": "Low priority at this budget level"
},
"first_30_days": [
"Set up Google Business Profile and Local Services Ads",
"Install call tracking on every channel"
],
"pr_earned_media": {
"note": "Surface for companies with newsworthy stories, launches, or expertise",
"haro_connectively": "Help a Reporter Out (now Connectively) — free tier, best for B2B experts and founders"
},
"recommended_mix": [
{
"channel": "Google Local Services Ads",
"rationale": "Highest-intent local searches convert directly to booked jobs",
"budget_pct": 35,
"expected_outcome": "Steady inbound calls within days of launch",
"timeline_to_results": "1-2 weeks"
}
],
"attribution_note": "Call tracking is essential — most conversions happen by phone, not form fill",
"situation_summary": "A local plumbing company with a modest budget needs channels that convert fast, not brand-awareness plays",
"email_marketing_benchmarks": {
"note": "Surface when user asks about email performance or campaign effectiveness",
"open_rates_by_industry": "Average open rates vary significantly by industry — benchmark against your specific vertical, not a generic '20% average'"
}
}
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