Janady13/AI_Brain / daemon/seed_marketing.py

Source identity

Field	Recorded value
Source type	GitHub source
Original record	Janady13/AI_Brain / daemon/seed_marketing.py
Date	Not specified in source
Repository	Janady13/AI_Brain
Revision	11aa50ef5d7692e8abd1b8d74ae31c5c29201b14
Branch	codex/build-online-github-ani-irqa7y
Path or archive member	daemon/seed_marketing.py
Original SHA-256	8c142a86de0afbea28458cf77fef6d55450762a5895c9984f4906d7884ee1687
Git blob SHA	64ecb8eee1885e4fcb50fef7b99f997897aa9691
Reading-copy SHA-256	8c142a86de0afbea28458cf77fef6d55450762a5895c9984f4906d7884ee1687

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Original record	Branch or archive	Revision / identifier	Original location
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-irqa7y	11aa50ef5d7692e8abd1b8d74ae31c5c29201b14	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-hr4y0z	366ab848896ae49159cfb3f6c201b8c5a731e9c8	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-i3cigl	3a6e002311c48c27ffd41ef4a2a31c63947128cd	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani	49db80a641b10ab62d16cc7643bd0b367f93951c	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-hrtsoc	50285aff347685f043e7a72e4d72891eebaa6cd6	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-7v4kug	5cd0bbf744b0aee9445913337e852889d9a8098e	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-nbgsix	840945d70b88674d8f40d330001cc63d871dc8e2	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	copilot/vscode1760283895982	9e1c1a5b171addb5bb4a83b2ea7dede50c1cc81e	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-jf5olo	c6653627c453ab428d665226167fa5f4aa05e9a5	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	feature/seeder-engine-tests	cdb497ece2d1a770ca8c83eb1de8923cfaa9eceb	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-7nmb21	d0f50071c85cddaaebbf9c4dd1313bd7676986da	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-0etkns	e250b19d446bdffd542c9eea31cead12e30800d6	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-hr4y0z	366ab848896ae49159cfb3f6c201b8c5a731e9c8	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-irqa7y	11aa50ef5d7692e8abd1b8d74ae31c5c29201b14	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-i3cigl	3a6e002311c48c27ffd41ef4a2a31c63947128cd	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-7v4kug	5cd0bbf744b0aee9445913337e852889d9a8098e	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-nbgsix	840945d70b88674d8f40d330001cc63d871dc8e2	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	copilot/vscode1760283895982	9e1c1a5b171addb5bb4a83b2ea7dede50c1cc81e	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-7nmb21	d0f50071c85cddaaebbf9c4dd1313bd7676986da	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	feature/seeder-engine-tests	cdb497ece2d1a770ca8c83eb1de8923cfaa9eceb	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani	49db80a641b10ab62d16cc7643bd0b367f93951c	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-jf5olo	c6653627c453ab428d665226167fa5f4aa05e9a5	Open original
Janady13/AI_Brain / daemon/seed_marketing.py	codex/build-online-github-ani-hrtsoc	50285aff347685f043e7a72e4d72891eebaa6cd6	Open original

Recovered source transcript

Download complete source text ↓67 lines · 3.0 KB

#!/usr/bin/env python3
from seed_common import run_seed

# Generate 500 distinct online marketing campaign descriptions

def gen_marketing(n: int):
    channels = [
        "email nurture", "lifecycle email", "paid social", "organic social", "search ads",
        "display retargeting", "video ads", "podcast sponsorship", "affiliate", "in-product messaging",
        "sms", "push notification", "webinar series", "community activation", "content syndication",
    ]
    audiences = [
        "B2B SaaS founders", "growth-stage CTOs", "RevOps leaders", "enterprise procurement teams",
        "mid-market marketers", "developer advocates", "data science managers", "AI research leads",
        "design directors", "product-led growth teams", "freelance creators", "ecommerce operators",
        "fintech compliance teams", "healthcare administrators", "climate tech analysts",
    ]
    offers = [
        "free benchmarking report", "interactive ROI calculator", "90-day pilot program",
        "co-marketing partnership", "invite-only beta", "executive roundtable",
        "certification workshop", "AI playbook download", "customer story series", "industry pulse newsletter",
    ]
    objectives = [
        "drive qualified demo requests", "accelerate pipeline velocity", "improve activation to paywall",
        "expand enterprise accounts", "increase product-qualified leads", "re-engage dormant users",
        "reduce churn risk", "boost partner referrals", "grow share-of-voice", "upsell premium features",
    ]
    plays = [
        "with multi-touch attribution", "with conversational nurture", "with realtime personalization",
        "with creative testing cadence", "with AI-assisted copy iteration", "with value-prop storytelling",
        "with social proof sequencing", "with influencer alignment", "with community-led prompts",
        "with retention cohort insights", "with predictive audience scoring", "with intent-driven offers",
    ]

    seen = set()
    produced = 0
    for channel in channels:
        for audience in audiences:
            for objective in objectives:
                for offer in offers:
                    phrase = (
                        f"Campaign: {channel} targeting {audience} leveraging {offer} to {objective}"
                    )
                    if phrase in seen:
                        continue
                    seen.add(phrase)
                    yield phrase
                    produced += 1
                    if produced >= n:
                        return
    if produced < n:
        for channel in channels:
            for play in plays:
                for audience in audiences:
                    phrase = f"Campaign: {channel} {play} for {audience}"
                    if phrase in seen:
                        continue
                    seen.add(phrase)
                    yield phrase
                    produced += 1
                    if produced >= n:
                        return


if __name__ == "__main__":
    run_seed("marketing", gen_marketing)