--- name: influencer-scouting description: "|\n >\n Full influencer scouting, outreach, and performance tracking system for BerkahKarya.\n Covers\ \ platform search across TikTok, Instagram, and YouTube for Indonesian creators,\n scoring/qualification, DM outreach,\ \ negotiation, deal tracking, and ROI measurement.\n Integrates with Kalodata for TikTok analytics.\n" domain: sales tags: - influencer - marketing - tiktok - instagram - youtube - kol - affiliate - indonesia version: 1.0.0 author: Vilona / BerkahKarya language: id-ID / en scripts: "|\n - scripts/ig_scout.py\n - scripts/tiktok_scout.py\n" --- # Influencer Scouting Skill 🔍 ## When to Use **Trigger phrases:** - "influencer scouting" - "Help me with influencer scouting" **Use cases:** - When the task matches this skill's domain expertise **When NOT to use:** - For tasks outside this skill's scope Find, qualify, and close Indonesian creators for BerkahKarya campaigns. --- ## 1. Target Creator Profile (ICP) - Configure across, analytics, berkahkarya, covers, creators settings before first use - Review output quality and adjust parameters - Monitor performance metrics during execution - Document custom configurations for team reference - Schedule regular runs for consistent results ### Sweet Spot Parameters | Metric | Minimum | Ideal | Maximum | |--------|---------|-------|---------| | Followers | 10,000 | 50K–200K | 500,000 | | Engagement Rate | 3% | 5–8% | — | | Content quality | Good | Very good | — | | Fake follower % | — | <10% | 20% | | Account age | 6 months | 1–3 years | — | | Post frequency | 3x/week | Daily | — | ### Why 10K–500K (Micro/Mid-tier)? - **Cheaper:** IDR 200K–5M per post vs IDR 10M+ for mega - **Higher ER:** Micro = 5–8% vs mega = 1–3% - **More authentic:** Followers trust them more - **Open to barter:** New income stream for them - **Easier to manage:** Responsive, professional ### Niches for BerkahKarya | Niche | Priority | Why | |-------|----------|-----| | Digital products / online business | 🔥 HIGH | Direct product match | | Business / entrepreneurship | 🔥 HIGH | Audience = buyers | | Finance / investasi | 🔥 HIGH | High-value audience | | Lifestyle / produktivitas | MEDIUM | Wide reach | | Tech / AI / gadget | MEDIUM | Progressive audience | | Self-improvement / motivasi | MEDIUM | Receptive audience | | F&B / kuliner | LOW | Product mismatch | | Beauty / fashion | LOW | Wrong demographic | --- ## 2. Platform Search Strategy - Configure across, analytics, berkahkarya, covers, creators settings before first use - Review output quality and adjust parameters - Monitor performance metrics during execution - Document custom configurations for team reference - Schedule regular runs for consistent results ### 2A. TikTok Scouting **Manual search:** ``` Hashtags to monitor: #digitalproduct #jualdigital #passiveincome #bisnisonline #jualan #entrepreneur #investasi #finansial #money #produktivitas #workfromhome #kontenindonesia #contentcreator ``` **Kalodata Integration:** ```bash # Use existing Kalodata skill for TikTok analytics # Key metrics to extract: - Creator GMV (Gross Merchandise Value) - Product categories they promote - Average video views / engagement - Commission rates they accept - Live streaming frequency # Kalodata workflow 1. Search creator by niche keyword 2. Filter by follower range (10K-500K) 3. Sort by GMV or ER 4. Export creator list 5. Feed into scripts/tiktok_scout.py for scoring ``` **TikTok Creator Marketplace:** - URL: creators.tiktok.com - Filter: Indonesia, niche, follower range - Export contacts directly ### 2B. Instagram Scouting **Hashtag research:** ``` Primary hashtags (high intent): #digitalproductindonesia #jualproduklist #affiliateindonesia #kelasdigital Secondary hashtags: #pengusahamuda #bisnisonline #financialfreedom #investasicerdas #contentcreatorindonesia ``` **Public API approach (via ig_scout.py):** ```python # scripts/ig_scout.py uses public data only # No login required for basic profile data # Data available: bio, follower count, post count, recent posts python3 scripts/ig_scout.py --search \ --hashtag "digitalproductindonesia" \ --min-followers 10000 \ --max-followers 500000 \ --output creators_ig.json ``` ### 2C. YouTube Scouting **Search queries:** ``` "cara jualan digital product" site:youtube.com "review produk digital indonesia" "passive income online indonesia 2025" "bisnis digital pemula" "investasi saham pemula indonesia" ``` **YouTube Data API metrics:** - Subscriber count - Average views per video (last 10 videos) - View-to-subscriber ratio (engagement proxy) - Upload frequency - Comment engagement --- ## 3. Scoring System - Configure across, analytics, berkahkarya, covers, creators settings before first use - Review output quality and adjust parameters - Monitor performance metrics during execution - Document custom configurations for team reference - Schedule regular runs for consistent results ### Creator Score Formula ```python # Total score: 0–100 score = ( follower_score * 0.20 + # Range fit engagement_score * 0.30 + # ER quality niche_match_score * 0.25 + # Content alignment content_quality * 0.15 + # Visual/copy quality authenticity_score * 0.10 # Fake follower check ) # Follower scoring (20 pts) if 50_000 <= followers <= 200_000: score = 20 # Ideal elif 20_000 <= followers < 50_000: score = 15 elif 10_000 <= followers < 20_000: score = 10 elif 200_000 < followers <= 500_000: score = 10 else: score = 0 # Out of range # Engagement Rate scoring (30 pts) if er >= 0.08: score = 30 # Excellent elif er >= 0.05: score = 25 # Good elif er >= 0.03: score = 15 # Acceptable minimum else: score = 0 # Disqualify # Niche match (25 pts) — manual assessment # Digital products/business: 25 # Finance/tech: 20 # Lifestyle/self-improvement: 15 # General: 5 # Score thresholds # 70–100: TIER A — Priority partnership # 50–69: TIER B — Good candidate # 30–49: TIER C — Low priority / monitor # 0–29: REJECT — Don't pursue ``` ### Fake Follower Check ```python # Red flags (auto-score penalty): RED_FLAGS = { "sudden_spike": "1M+ followers gained in <30 days", "low_er": "ER < 0.5% with 100K+ followers", "bot_comments": "Comments like 'Nice!', '🔥🔥🔥' dominate", "ghost_followers": "Following >> Followers ratio", "no_story_views": "100K followers but 200 story views" } # Tools to use: # - HypeAuditor (paid): hypeauditor.com # - Social Blade (free): socialblade.com # - IGaudit (free): igaudit.io # - Modash Fake Follower Check ``` --- ## 4. Outreach DM Templates (Bahasa Indonesia, Casual) Reusable templates for influencer-scouting. Standard config: ```yaml name: influencer-scouting_standard mode: production output: results/ format: json ``` Test config: ```yaml name: influencer-scouting_test mode: development dry_run: true verbose: true ``` ### Template 1: Standard influencer-scouting ```yaml name: influencer-scouting_standard mode: production output: results/ format: json ``` ### Template 2: Quick Test ```yaml name: influencer-scouting_test mode: development dry_run: true verbose: true ``` ### 4A. TikTok DM **Template 1 — Collab offer:** ``` Haii [Nama] 👋 Gue [Nama] dari BerkahKarya. Udah lama sering liat konten lo tentang [topik] — genuinely bagus dan relatable banget! Kita lagi cari kreator yang aligned buat collab produk digital. Ada yang cocok banget sama audience lo. Mau gue share detailnya? No pressure, santai aja 😊 ``` **Template 2 — Direct value:** ``` Hey [Nama]! Konten lo di [topik tertentu] kena banget. Gue dari BerkahKarya. Kita punya produk digital yang literally cocok banget sama niche lo — bisa jadi income stream baru yang passive. Tertarik collab? Bisa barter atau ada rate juga kok 🙌 ``` ### 4B. Instagram DM **Template 1 — Compliment + offer:** ``` Haiiii [Nama]! ✨ Baru scroll feed lo dan konten [topik spesifik] lo itu kena banget! Gue suka cara lo explain yang complex jadi simple. Gue [Nama] dari BerkahKarya — kita produce digital products untuk [niche]. Pengen banget collab sama lo untuk campaign yang gue rasa cocok sama konten lo. Ada waktu untuk ngobrol singkat? 🙏 ``` **Template 2 — After engaging content:** ``` [Nama]! Baru liat video lo yang [judul/topik]. Relate banget sama audience gue. Kebetulan kita lagi ada campaign yang super aligned sama ini. Boleh DM balik untuk share detail kolaborasinya? 💌 ``` ### 4C. WhatsApp (setelah dapat nomor) ``` Halo [Nama], ini [Nama Lo] dari BerkahKarya. Udah DM di [platform] tapi mau mastiin pesan gue nyampe 😅 Singkatnya: kita mau collab sama lo untuk promosiin produk digital kami yang relevan sama audience lo. Bisa barter konten atau ada bayaran juga — tergantung mau lonya kayak gimana. Lagi available untuk ngobrol sebentar? 🙏 ``` --- ## 5. Negotiation Framework - Configure across, analytics, berkahkarya, covers, creators settings before first use - Review output quality and adjust parameters - Monitor performance metrics during execution - Document custom configurations for team reference - Schedule regular runs for consistent results ### 5A. Rate Card Benchmarks Indonesia 2025 | Tier | Platform | Followers | Rate per Post | |------|----------|-----------|---------------| | Nano | TikTok/IG | 1K–10K | IDR 100K–500K | | Micro | TikTok/IG | 10K–50K | IDR 500K–2M | | Mid-tier | TikTok/IG | 50K–200K | IDR 2M–8M | | Macro | TikTok/IG | 200K–500K | IDR 8M–20M | | Mega | TikTok/IG | 500K+ | IDR 20M+ | | YouTube | YouTube | 50K–200K | IDR 3M–15M | | YouTube | YouTube | 200K+ | IDR 15M–50M | **Note:** Rates vary by niche. Finance/business = 30–50% premium. ### 5B. Barter vs Paid Decision Matrix | Situation | Recommendation | |-----------|---------------| | Creator < 50K followers | Barter first (product access) | | Creator 50K–200K | Negotiate: barter + small fee OR affiliate commission | | Creator 200K+ | Paid (market rate or slight discount) | | Creator loves product natively | Affiliate commission only (sustainable) | | High authority niche (finance/bisnis) | Always paid — credibility matters | ### 5C. Barter Package Structure ``` Basic Barter (for nano/micro): - Free access to [product] (nilai IDR 297K–597K) - Content: 1 TikTok/Reels + 1 Story - Rights: Reshare allowed by BerkahKarya Enhanced Barter (for mid-tier): - Free product + affiliate link (15% commission) - Content: 2 TikTok/Reels + 3 Stories + 1 highlight - Rights: Full reshare rights 30 days Affiliate-only (ongoing): - No upfront fee - Commission: 15–20% per sale via unique link - Tracking: LYNK affiliate dashboard - Payment: Monthly, minimum IDR 100K ``` ### 5D. Negotiation Script ``` Jika kreator minta rate tinggi: "Harga lo masuk akal untuk ukuran audience lo. Kita mau coba dulu dengan struktur hybrid: - [Bayar IDR X] + affiliate commission 15% per sale Jadi lo bisa dapat lebih kalau konten lo convert. Gimana?" Jika kreator hanya mau barter: "Oke deal! Barter product senilai IDR [X] ya. Kita butuh: 1 TikTok/Reels (min 30 detik) + 2 Stories. Boleh gue tau brief deliverable-nya dipake kapan?" ``` --- ## 6. Performance Tracking - Configure across, analytics, berkahkarya, covers, creators settings before first use - Review output quality and adjust parameters - Monitor performance metrics during execution - Document custom configurations for team reference - Schedule regular runs for consistent results ### Campaign Metrics per Creator ```json { "creator_id": "IG_@username", "campaign": "JENDRALBOT Q1 2026", "posts": [ { "post_id": "post_001", "platform": "instagram", "type": "reels", "posted_date": "2026-03-10", "views": 25000, "likes": 1800, "comments": 120, "shares": 450, "saves": 890, "er": 0.0728, "link_clicks": 340, "conversions": 12, "revenue_generated": 3588000 } ], "deal_type": "barter", "barter_value": 297000, "total_conversions": 12, "total_revenue": 3588000, "roi": 1107.07, "status": "completed" } ``` ### ROI Calculation ```python # ROI formula roi = ((revenue_generated - campaign_cost) / campaign_cost) * 100 # For barter: campaign_cost = product_cogs # Cost of goods/digital product # For paid: campaign_cost = creator_fee + product_cogs # Target ROI: # Barter campaigns: >500% (product COGS is low) # Paid campaigns: >200% # Affiliate only: Infinite ROI (no upfront cost) ``` ### Weekly Performance Report ``` 📊 INFLUENCER PERFORMANCE — WEEK [W] Active Campaigns: [N] Total Posts Published: [N] Total Reach: [N] Total Clicks to LYNK: [N] Total Conversions: [N] Total Revenue: IDR [X] Top Performer: @[username] — [N] konversi / IDR [X] revenue ROI: [X]% Bottom Performer: @[username] — [N] konversi / IDR [X] revenue Action: [review/cancel/renegotiate] Pipeline: Outreach sent: [N] Waiting response: [N] In negotiation: [N] Deal confirmed: [N] ``` --- ## 7. Blacklist Criteria - Configure across, analytics, berkahkarya, covers, creators settings before first use - Review output quality and adjust parameters - Monitor performance metrics during execution - Document custom configurations for team reference - Schedule regular runs for consistent results ### Auto-Blacklist (immediate DQ) ```python BLACKLIST_CRITERIA = { "bought_followers": { "signal": "Sudden 50K+ follower spike in <7 days", "check": "Social Blade history graph", "action": "Immediate reject" }, "fake_engagement": { "signal": "ER < 0.5% with 50K+ followers", "check": "Manual post inspection", "action": "Immediate reject" }, "competitor_contract": { "signal": "Active promotion of competitor product", "check": "Last 30 days posts", "action": "Hold — check exclusivity clause" }, "negative_reputation": { "signal": "News of scam, sexual harassment, racism", "check": "Google search [name] + controversy", "action": "Immediate reject + document" }, "previous_no_show": { "signal": "Agreed to collab but never posted", "check": "Internal deal history", "action": "Immediate reject + add to blacklist DB" }, "hate_speech": { "signal": "Divisive political/religious content", "check": "Post history scan", "action": "Immediate reject" } } ``` ### Soft Blacklist (monitor, low priority) - Content quality consistently declining - ER dropped >50% in last 60 days - Long inactive periods (>2 months no post) - Audience demographics shifted away from ICP --- ## 8. Database Schema - Configure across, analytics, berkahkarya, covers, creators settings before first use - Review output quality and adjust parameters - Monitor performance metrics during execution - Document custom configurations for team reference - Schedule regular runs for consistent results ### Creator Profile ```sql -- Table: creators CREATE TABLE creators ( id TEXT PRIMARY KEY, -- platform_username platform TEXT NOT NULL, -- tiktok | instagram | youtube username TEXT NOT NULL, display_name TEXT, bio TEXT, profile_url TEXT, followers INTEGER, following INTEGER, total_posts INTEGER, avg_er REAL, -- Average engagement rate niche TEXT, -- primary niche location TEXT, -- city/province contact_wa TEXT, contact_email TEXT, contact_tg TEXT, icp_score REAL, -- 0-100 score tier TEXT, -- A | B | C | REJECT | BLACKLIST fake_follower_pct REAL, -- estimated % fake kalodata_gmv REAL, -- TikTok GMV if available created_at TEXT, last_updated TEXT, notes TEXT ); -- Table: outreach CREATE TABLE outreach ( id TEXT PRIMARY KEY, creator_id TEXT REFERENCES creators(id), channel TEXT, -- dm_tiktok | dm_ig | wa | telegram message_template TEXT, sent_at TEXT, response_at TEXT, response_text TEXT, status TEXT, -- sent | replied | negotiating | agreed | rejected follow_up_count INTEGER DEFAULT 0, next_followup TEXT ); -- Table: deals CREATE TABLE deals ( id TEXT PRIMARY KEY, creator_id TEXT REFERENCES creators(id), campaign_name TEXT, deal_type TEXT, -- barter | paid | affiliate deal_value REAL, -- IDR barter_product TEXT, commission_pct REAL, deliverables TEXT, -- JSON array deadline TEXT, status TEXT, -- negotiating | agreed | briefed | posted | completed | cancelled contract_signed INTEGER DEFAULT 0, created_at TEXT, closed_at TEXT ); -- Table: posts CREATE TABLE posts ( id TEXT PRIMARY KEY, deal_id TEXT REFERENCES deals(id), creator_id TEXT REFERENCES creators(id), platform TEXT, post_url TEXT, post_type TEXT, -- video | reels | story | short posted_at TEXT, views INTEGER, likes INTEGER, comments INTEGER, shares INTEGER, saves INTEGER, link_clicks INTEGER, conversions INTEGER, revenue REAL, er REAL, last_synced TEXT ); ``` --- ## 9. Scripts Reference - Configure across, analytics, berkahkarya, covers, creators settings before first use - Review output quality and adjust parameters - Monitor performance metrics during execution - Document custom configurations for team reference - Schedule regular runs for consistent results ### 9A. `scripts/ig_scout.py` ```python # Usage python3 scripts/ig_scout.py [OPTIONS] Options: --search Search creators by hashtag/keyword --hashtag TEXT Hashtag to search (without #) --min-followers N Minimum follower count [default: 10000] --max-followers N Maximum follower count [default: 500000] --score Score discovered creators against ICP --output FILE Save results to JSON file --fake-check Run fake follower estimation --update-db Sync results to creator database # Example python3 scripts/ig_scout.py \ --search \ --hashtag "digitalproductindonesia" \ --min-followers 10000 \ --max-followers 200000 \ --score \ --fake-check \ --output results/ig_creators_$(date +%Y%m%d).json # Note: Uses public Instagram data (no login required) # Rate limit: ~200 profiles/hour without token # With Basic Display API token: higher limits ``` ### 9B. `scripts/tiktok_scout.py` ```python # Usage python3 scripts/tiktok_scout.py [OPTIONS] Options: --search Search by hashtag or keyword --hashtag TEXT Hashtag to search --kalodata Pull from Kalodata API (requires kalodata skill) --min-followers N Minimum followers [default: 10000] --score Auto-score creators --gmv-filter Only show creators with GMV data --output FILE Output JSON file # Example — Kalodata integration python3 scripts/tiktok_scout.py \ --kalodata \ --hashtag "digitalproduct" \ --min-followers 10000 \ --gmv-filter \ --score \ --output results/tiktok_creators_$(date +%Y%m%d).json # Kalodata provides: # - Creator GMV history # - Product categories promoted # - Shop conversion rates # - Commission acceptance rates ``` --- ## 10. Tools & Integrations - Configure across, analytics, berkahkarya, covers, creators settings before first use - Review output quality and adjust parameters - Monitor performance metrics during execution - Document custom configurations for team reference - Schedule regular runs for consistent results ### Kalodata (TikTok Analytics) ```bash # Already installed — see kalodata skill # Use for: TikTok creator GMV, shop analytics, trending products # Key command: kalodata creator search --niche "digital product" --country ID ``` ### Social Blade (Free tier) ``` URL: socialblade.com Use for: Follower history graph (detect artificial spikes) Manual check: search creator → view Monthly Follower Change chart Red flag: Any month with >50K sudden gain ``` ### HypeAuditor (if budget available) ``` URL: hypeauditor.com Use for: Fake follower %, audience demographics Pricing: ~$149/month for 100 audits Recommended: Spend on Tier A candidates only before paying ``` --- ## 11. Quick Reference ``` SCOUTING SHORTCUTS: Find IG creators: python3 scripts/ig_scout.py --search --hashtag "bisnisonline" Find TikTok: python3 scripts/tiktok_scout.py --kalodata --hashtag "digitalproduct" Score creator: python3 scripts/ig_scout.py --score --username @creator View database: sqlite3 influencers.db "SELECT * FROM creators WHERE tier='A'" SCORING TIERS: A (70-100): Priority outreach this week B (50-69): Outreach when bandwidth available C (30-49): Monitor, no active outreach REJECT: DQ'd, archived BLACKLIST: Never contact again RATE BENCHMARKS (2025): Micro (10K-50K): IDR 500K – 2M/post Mid (50K-200K): IDR 2M – 8M/post Macro (200K-500K): IDR 8M – 20M/post Default approach: Barter first, paid second DEAL TYPES: Barter: Product for content (best ROI) Paid: Cash fee (larger creators) Affiliate: Commission only (scalable, zero upfront) Hybrid: Small fee + affiliate (sweet spot) ``` --- *Skill version 1.0 — BerkahKarya Influencer Engine 🔍* *Last updated: 2026-03-13* ## How to Use 1. Define ideal customer profile (ICP) and buyer personas 2. Build lead list from qualified sources 3. Craft personalized outreach sequences 4. Track engagement and follow up on signals 5. Qualify leads through discovery calls 6. Present solution tailored to pain points 7. Handle objections with value reframing 8. Close and hand off to onboarding ## When NOT to Use - Task is outside your authorization scope - You need to implement controls (use implementing-* skills) - Task is about analysis, not action (use analyzing-* skills) - You don't have access to target systems - Task requires compliance expertise (consult professionals) - Task is about defense, not offense (use defensive skills) ## Red Flags - **Lead response time > 5 minutes**: Conversion drops 80% after 5 min. Automate instant response. - **Pipeline has stale deals**: Deals stuck 30+ days need re-qualification or disqualification. - **Low email reply rates (<3%)**: Messaging is too generic. Personalize with research. - **High churn in first 90 days**: Onboarding gap. Fix handoff from sales to success. - **Discounting above 20%**: Value perception problem. Reframe ROI, don't cut price. ## Verification - Test email sequences with seed accounts before full send - Verify CRM data integrity (no duplicates, correct stages) - Check lead scoring model against actual conversion data - Confirm proposal/contract templates are current and branded - Validate payment links and checkout flow end-to-end ## Overview > Section content — see SKILL.md body for full details. ## Process 1. Analyze the task requirements 2. Apply domain expertise 3. Verify output quality