Sector Performance → Vertical Prioritization

import os, requests, time

AV_KEY = os.environ["ALPHA_VANTAGE_KEY"]
AV_BASE = "https://www.alphavantage.co/query"
MV = os.environ["MAVERA_API_KEY"]
MV_BASE = "https://app.mavera.io/api/v1"
MV_H = {"Authorization": f"Bearer {MV}", "Content-Type": "application/json"}

PRODUCT = "marketing analytics platform"

# 1. Fetch sector performance
r = requests.get(AV_BASE, params={"function": "SECTOR", "apikey": AV_KEY})
r.raise_for_status()
sector_data = r.json()

timeframes = {
    "1 Day": "Rank A: Real-Time Performance",
    "1 Month": "Rank D: Month Performance",
    "3 Months": "Rank E: Quarter Performance",
    "1 Year": "Rank G: Year Performance",
}

sector_summary = []
for label, key in timeframes.items():
    data = sector_data.get(key, {})
    sorted_sectors = sorted(data.items(), key=lambda x: float(x[1].replace("%","")), reverse=True)
    sector_summary.append(f"\n**{label}:**")
    for sector, perf in sorted_sectors:
        sector_summary.append(f"  {sector}: {perf}")

performance_text = "\n".join(sector_summary)
print(f"Sector data retrieved across {len(timeframes)} timeframes")

# 2. Mave prioritization
priority = requests.post(f"{MV_BASE}/mave/chat", headers=MV_H, json={
    "message": f"Marketing strategist. We sell a {PRODUCT}.\n\n"
        f"SECTOR PERFORMANCE:\n{performance_text}\n\n"
        "Create a VERTICAL PRIORITIZATION MATRIX:\n\n"
        "For each sector:\n"
        "1. **Momentum Score** (1-10) — based on recent vs long-term performance\n"
        "2. **Marketing Investment** — Increase / Maintain / Decrease\n"
        "3. **Messaging Strategy** — Growth narrative vs efficiency narrative vs stability narrative\n"
        "4. **Key Angle** — One sentence positioning for this vertical\n"
        "5. **Budget Recommendation** — % of total marketing budget\n\n"
        "Rank by priority. Top 3 get detailed campaign angles."
}).json()
print(f"\n{priority.get('content', '')[:2000]}")

# 3. Generate copy for top sector
gen = requests.post(f"{MV_BASE}/generations", headers=MV_H, json={
    "prompt": f"Based on this vertical prioritization:\n\n{priority.get('content','')[:2000]}\n\n"
        f"Generate campaign copy for the TOP-RANKED sector targeting our {PRODUCT}.\n\n"
        "Include:\n"
        "1. Landing page headline + subheadline\n"
        "2. Three value propositions (sector-specific)\n"
        "3. Email subject line + preview text for outbound\n"
        "4. LinkedIn ad (headline + body + CTA)\n"
        "5. Case study headline template\n\n"
        "Reference sector momentum. Make the copy feel industry-native.",
}).json()
print(f"\n{'='*60}\nTOP SECTOR CAMPAIGN COPY\n{'='*60}")
print(gen.get("output", gen.get("content", ""))[:1500])

const AV_KEY = process.env.ALPHA_VANTAGE_KEY;
const AV_BASE = "https://www.alphavantage.co/query";
const MV = process.env.MAVERA_API_KEY;
const MV_BASE = "https://app.mavera.io/api/v1";
const MV_H = { Authorization: `Bearer ${MV}`, "Content-Type": "application/json" };

const PRODUCT = "marketing analytics platform";

// 1. Sector performance
const sectorData = await (await fetch(`${AV_BASE}?function=SECTOR&apikey=${AV_KEY}`)).json();

const timeframes = {
  "1 Day": "Rank A: Real-Time Performance",
  "1 Month": "Rank D: Month Performance",
  "3 Months": "Rank E: Quarter Performance",
  "1 Year": "Rank G: Year Performance",
};

let performanceText = "";
for (const [label, key] of Object.entries(timeframes)) {
  const data = sectorData[key] || {};
  const sorted = Object.entries(data).sort((a, b) =>
    parseFloat(b[1]) - parseFloat(a[1]));
  performanceText += `\n**${label}:**\n${sorted.map(([s, p]) => `  ${s}: ${p}`).join("\n")}`;
}
console.log(`Sector data across ${Object.keys(timeframes).length} timeframes`);

// 2. Prioritization
const priority = await fetch(`${MV_BASE}/mave/chat`, { method: "POST", headers: MV_H,
  body: JSON.stringify({ message: `We sell a ${PRODUCT}.\n\nSECTOR PERFORMANCE:\n${performanceText}\n\nVertical prioritization matrix: Momentum (1-10), Investment (increase/maintain/decrease), Messaging strategy, Key angle, Budget %. Top 3 get campaign angles.` }),
}).then(r => r.json());
console.log((priority.content || "").slice(0, 2000));

// 3. Top sector copy
const gen = await fetch(`${MV_BASE}/generations`, { method: "POST", headers: MV_H,
  body: JSON.stringify({ prompt: `From prioritization:\n\n${(priority.content||"").slice(0,2000)}\n\nCampaign for TOP sector targeting ${PRODUCT}.\n\n1. Landing page headline+sub\n2. Three value props\n3. Email subject+preview\n4. LinkedIn ad\n5. Case study headline\n\nReference momentum. Industry-native copy.` }),
}).then(r => r.json());
console.log(`\n${"=".repeat(60)}\nTOP SECTOR CAMPAIGN COPY`);
console.log((gen.output || gen.content || "").slice(0, 1500));