> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mavera.io/llms.txt
> Use this file to discover all available pages before exploring further.
# Sector Performance → Vertical Prioritization
### Scenario
Your sales team targets multiple verticals but can't pursue all equally. Alpha Vantage's `SECTOR` function returns real-time and historical performance by sector. This job maps sector momentum to marketing effort — invest messaging resources in growing sectors, adopt defensive positioning in declining ones, and generate vertical-specific campaign copy for the top priorities.
**Flow:** Alpha Vantage `GET ?function=SECTOR` → Rank by performance → Mavera `POST /mave/chat` + `POST /generations` → Vertical priority matrix + copy
### Code
```python Python theme={"dark"}
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])
```
```javascript JavaScript theme={"dark"}
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));
```
### Example Output
```text theme={"dark"}
Sector data across 4 timeframes
VERTICAL PRIORITIZATION MATRIX:
| Sector | Momentum | Investment | Strategy | Budget |
|--------|----------|------------|----------|--------|
| Technology | 9/10 | Increase | Growth narrative | 30% |
| Healthcare | 7/10 | Increase | Efficiency | 20% |
| Energy | 6/10 | Maintain | Stability | 15% |
| Financials | 5/10 | Maintain | Efficiency | 15% |
| Real Estate | 3/10 | Decrease | Survival | 5% |
TOP SECTOR CAMPAIGN COPY (Technology)
============================================================
1. HEADLINE: Marketing Analytics Built for Tech's Growth Pace
SUB: When your sector grows 18% YoY, your analytics can't lag.
2. VALUE PROPS:
• Ship campaigns at sprint speed — not quarterly planning cycles
• Attribution for PLG funnels — track product-led → sales-assisted
• Benchmark against 200+ SaaS companies in our index
3. EMAIL: "Your sector grew 18% — did your pipeline keep up?"
Preview: Tech marketing leaders are outpacing revenue growth. Here's how.
4. LINKEDIN: "Tech is outperforming every sector by 2x this quarter.
Is your marketing analytics keeping pace?" → See the benchmark →
```
### Error Handling
Alpha Vantage uses SEC sector names (e.g., "Information Technology" not "Tech"). Map to your internal vertical names before generating copy.
The `SECTOR` function returns all timeframes in one call — only 1 of your 25 daily free calls. Cache the response for the full day.
Sectors with negative returns need defensive messaging, not growth messaging. The Mave prompt handles this via the "stability narrative" strategy option.