Contact Property → Focus Group Segmentation

import os, requests, time

HS = os.environ["HUBSPOT_ACCESS_TOKEN"]
MV = os.environ["MAVERA_API_KEY"]
HB = "https://api.hubapi.com/crm/v3"
MB = "https://app.mavera.io/api/v1"
MH = {"Authorization": f"Bearer {MV}", "Content-Type": "application/json"}

SEGMENTS = [
    {"prop": "hs_persona", "val": "persona_economic_buyer", "label": "Economic Buyer"},
    {"prop": "hs_persona", "val": "persona_end_user", "label": "End User"},
    {"prop": "hs_persona", "val": "persona_champion", "label": "Internal Champion"},
    {"prop": "hs_persona", "val": "persona_technical", "label": "Technical Evaluator"},
]

# 1. Create personas from HubSpot segments
persona_ids = []
for seg in SEGMENTS:
    r = requests.post(f"{HB}/objects/contacts/search",
        headers={"Authorization": f"Bearer {HS}"},
        json={"filterGroups": [{"filters": [
            {"propertyName": seg["prop"], "operator": "EQ", "value": seg["val"]}
        ]}], "properties": ["jobtitle", "industry"], "limit": 30})
    if r.status_code == 429: time.sleep(1); continue
    r.raise_for_status()
    contacts = r.json().get("results", [])
    if not contacts: continue

    titles = list({c["properties"].get("jobtitle","") for c in contacts if c["properties"].get("jobtitle")})[:5]
    p = requests.post(f"{MB}/personas", headers=MH, json={
        "name": f"HubSpot: {seg['label']}",
        "description": f"{seg['label']} segment. Titles: {', '.join(titles)}. N={len(contacts)}.",
        "demographic": {"job_titles": titles},
    }).json()
    persona_ids.append({"id": p["id"], "label": seg["label"]})
    time.sleep(0.3)

# 2. Run Focus Group
CAMPAIGN = '''We're launching an AI analytics platform that cuts reporting time by 60%.
Early access: $499/mo for teams up to 50. "Stop building dashboards. Start making decisions."'''

fg = requests.post(f"{MB}/focus-groups", headers=MH, json={
    "name": "Q3 Campaign Pre-Launch",
    "persona_ids": [p["id"] for p in persona_ids],
    "questions": [
        "How does this value proposition resonate with you?",
        "Is $499/mo reasonable for this type of tool?",
        "What objections would you raise to your team?",
        "How would you describe this to a colleague in one sentence?",
    ],
    "context": CAMPAIGN,
    "responses_per_persona": 3,
}).json()

# 3. Poll for results
for _ in range(20):
    time.sleep(5)
    data = requests.get(f"{MB}/focus-groups/{fg['id']}", headers=MH).json()
    if data.get("status") == "completed": break

for resp in data.get("responses", []):
    label = next((p["label"] for p in persona_ids if p["id"] == resp.get("persona_id")), "?")
    print(f"[{label}] {resp.get('question','')[:60]}")
    print(f"  → {resp.get('answer','')[:200]}\n")

const HS = process.env.HUBSPOT_ACCESS_TOKEN;
const MV = process.env.MAVERA_API_KEY;
const HB = "https://api.hubapi.com/crm/v3";
const MB = "https://app.mavera.io/api/v1";
const MH = { Authorization: `Bearer ${MV}`, "Content-Type": "application/json" };

const SEGMENTS = [
  { prop: "hs_persona", val: "persona_economic_buyer", label: "Economic Buyer" },
  { prop: "hs_persona", val: "persona_end_user", label: "End User" },
  { prop: "hs_persona", val: "persona_champion", label: "Internal Champion" },
  { prop: "hs_persona", val: "persona_technical", label: "Technical Evaluator" },
];

// 1. Create personas
const personaIds = [];
for (const seg of SEGMENTS) {
  const res = await fetch(`${HB}/objects/contacts/search`, {
    method: "POST",
    headers: { Authorization: `Bearer ${HS}`, "Content-Type": "application/json" },
    body: JSON.stringify({
      filterGroups: [{ filters: [{ propertyName: seg.prop, operator: "EQ", value: seg.val }] }],
      properties: ["jobtitle", "industry"], limit: 30,
    }),
  });
  if (res.status === 429) { await new Promise(r => setTimeout(r, 1000)); continue; }
  const contacts = (await res.json()).results || [];
  if (!contacts.length) continue;

  const titles = [...new Set(contacts.map(c => c.properties.jobtitle).filter(Boolean))].slice(0, 5);
  const p = await fetch(`${MB}/personas`, { method: "POST", headers: MH,
    body: JSON.stringify({ name: `HubSpot: ${seg.label}`,
      description: `${seg.label} segment. Titles: ${titles.join(", ")}. N=${contacts.length}.`,
      demographic: { job_titles: titles } }),
  }).then(r => r.json());
  personaIds.push({ id: p.id, label: seg.label });
  await new Promise(r => setTimeout(r, 300));
}

// 2. Run Focus Group
const fg = await fetch(`${MB}/focus-groups`, { method: "POST", headers: MH,
  body: JSON.stringify({
    name: "Q3 Campaign Pre-Launch",
    persona_ids: personaIds.map(p => p.id),
    questions: [
      "How does this value proposition resonate with you?",
      "Is $499/mo reasonable for this type of tool?",
      "What objections would you raise to your team?",
      "How would you describe this to a colleague in one sentence?",
    ],
    context: `We're launching an AI analytics platform that cuts reporting time by 60%. $499/mo for teams up to 50.`,
    responses_per_persona: 3,
  }),
}).then(r => r.json());

// 3. Poll
let data;
for (let i = 0; i < 20; i++) {
  await new Promise(r => setTimeout(r, 5000));
  data = await fetch(`${MB}/focus-groups/${fg.id}`, { headers: MH }).then(r => r.json());
  if (data.status === "completed") break;
}

for (const resp of data.responses || []) {
  const label = personaIds.find(p => p.id === resp.persona_id)?.label || "?";
  console.log(`[${label}] ${(resp.question || "").slice(0, 60)}`);
  console.log(`  → ${(resp.answer || "").slice(0, 200)}\n`);
}