| name | influencer-scouting |
| description | Use when | > Full influencer scouting, outreach, and performance tracking system. Covers platform search across TikTok, Instagram, and YouTube for creators, scoring/qualification, DM outreach, negotiation, deal tracking, and ROI measurement. Integrates with Kalodata for TikTok analytics. |
| domain | sales |
| author | oyi77 |
| license | Apache-2.0 |
| subdomain | sales |
| tags | ["influencer","marketing","tiktok","instagram","youtube","kol","affiliate","indonesia"] |
| version | 1.0.0 |
| language | id-ID / en |
| scripts | |
- scripts/ig_scout.py
- scripts/tiktok_scout.py
|
Influencer Scouting
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.
When NOT to Use
- When the prospect is not a good fit for your product
- For markets where you have no distribution channel
- When the deal size does not justify the effort
Overview
Influencer Scouting drives revenue generation with systematic processes.
Pipeline Stages
- Prospect — Identify and qualify potential customers
- Connect — Initial outreach and conversation
- Discover — Understand needs and pain points
- Propose — Present tailored solution
- Close — Negotiate and finalize agreement
- Onboard — Hand off to success team
Key Metrics
- Pipeline velocity (deals × value × win rate ÷ cycle time)
- Conversion rate per stage
- Average deal size
- Customer lifetime value (CLV)
- Win/loss ratio
Best Practices
- Qualify early — disqualify fast
- Listen more than you talk (70/30 rule)
- Follow up consistently (5+ touches)
- Track everything in CRM
- Ask for referrals after every closed deal
Workflow
def score_lead(lead: dict) -> int:
score = 0
if lead.get("company_size", 0) > 100: score += 20
if lead.get("budget", ) > : score +=
lead.get() == : score +=
lead.get(, ) > : score +=
(score, )
