Influencer fit scoring skill

Scores and ranks influencers for brand partnership fit using a multi-dimensional framework covering audience alignment, engagement quality, brand safety, content relevance, and commercial viability for CPG and retail e-commerce campaigns.

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Influencer Fit Scoring

Overview

This skill applies a weighted scoring model to evaluate influencer-brand fit across six dimensions: audience alignment, engagement authenticity, content relevance, brand safety, commercial potential, and cost efficiency. It produces a ranked shortlist with composite scores, risk flags, and partnership recommendations tailored to CPG and retail e-commerce objectives.

When to Use

  • Evaluating a list of potential influencer partners for a campaign
  • Building a tiered influencer roster (mega, macro, micro, nano)
  • Comparing influencer candidates for a specific product launch or promotion
  • Assessing existing influencer partnerships for renewal decisions
  • Vetting influencers for brand safety and audience authenticity
  • Structuring an influencer marketing program from scratch

Required Inputs

Input Required Description
Influencer Profiles Yes Name, handle, platform, follower count, niche/category
Brand / Product Yes Brand identity, product category, target positioning
Campaign Objective Yes Awareness, engagement, conversion, content creation, or loyalty
Target Audience Yes Demographics, interests, geography of desired reach
Budget Range No Total influencer budget to inform tier recommendations
Engagement Metrics Recommended Average likes, comments, shares, saves, video views
Audience Demographics Recommended Follower age, gender, location breakdown (from analytics tools)
Past Collaboration Data No Previous brand deals, competitor partnerships, performance history
Brand Safety Requirements No Categories, topics, or associations to avoid

Methodology

Step 1 — Tier Classification

Categorize each influencer by reach tier:

Tier Follower Range Typical CPG Use Case Avg. Engagement Rate
Nano 1K–10K Authentic advocacy, niche communities 4%–8%
Micro 10K–100K Targeted reach, high engagement, UGC 2%–5%
Mid-Tier 100K–500K Balanced reach and engagement 1.5%–3%
Macro 500K–1M Broad awareness, trend-setting 1%–2%
Mega 1M+ Mass awareness, celebrity association 0.5%–1.5%
Step 2 — Six-Dimension Scoring Model

Score each influencer on a 0–100 scale across six dimensions:

Dimension 1: Audience Alignment (Weight: 25%)

  • Demographic overlap with target audience (age, gender, location)
  • Interest category alignment (beauty, food, fitness, parenting, etc.)
  • Audience income level proxy (based on content, brand affinities)
  • Geographic concentration in target markets
Score = (Demo Match % × 0.4) + (Interest Match % × 0.3) + (Geo Match % × 0.3) × 100

Dimension 2: Engagement Quality (Weight: 20%)

  • Engagement rate vs. tier benchmark (above/at/below average)
  • Comment quality ratio: meaningful comments ÷ total comments
  • Saves and shares ratio (high-intent signals)
  • Follower growth trajectory (organic vs. spike patterns)
Score = (ER Percentile × 0.4) + (Comment Quality × 0.3) + (Save/Share Ratio × 0.2) + (Growth Health × 0.1) × 100

Dimension 3: Content Relevance (Weight: 20%)

  • Content category alignment with brand/product
  • Content production quality (visual, audio, editing)
  • Content format match with campaign needs (Reels, long-form, Stories, etc.)
  • Organic product integration naturalness (does the creator authentically use similar products?)

Dimension 4: Brand Safety (Weight: 15%)

  • Controversial content history scan (political, offensive, polarizing)
  • Competitor partnership conflicts (exclusivity concerns)
  • FTC compliance history (proper #ad disclosure)
  • Audience bot/fake follower percentage (flag if >15%)
  • Content tone alignment with brand values
Score = 100 - (Controversy Penalty + Competitor Conflict Penalty + Compliance Risk Penalty + Bot Penalty)

Dimension 5: Commercial Viability (Weight: 10%)

  • Previous sponsored content performance (vs. organic benchmarks)
  • Product-tagging and link-in-bio utilization (shoppability)
  • Track record of driving measurable actions (site traffic, sales, codes redeemed)
  • Professional responsiveness and reliability (if data available)

Dimension 6: Cost Efficiency (Weight: 10%)

  • Estimated CPM: (Influencer Fee ÷ Estimated Impressions) × 1,000
  • Estimated CPE: Influencer Fee ÷ Estimated Engagements
  • Benchmarked against tier and platform norms
Platform Tier CPM Benchmark CPE Benchmark
Instagram Micro $8–$15 $0.15–$0.40
Instagram Macro $12–$25 $0.30–$0.80
TikTok Micro $5–$12 $0.05–$0.20
TikTok Macro $10–$20 $0.10–$0.35
YouTube Micro $15–$30 $0.25–$0.60
YouTube Macro $20–$40 $0.40–$1.00
Step 3 — Composite Score Calculation
Composite Score = (Audience × 0.25) + (Engagement × 0.20) + (Content × 0.20) 
                + (Safety × 0.15) + (Commercial × 0.10) + (Cost × 0.10)

Adjust weights based on campaign objective:

  • Awareness campaigns: Increase Audience Alignment to 30%, reduce Cost Efficiency to 5%
  • Conversion campaigns: Increase Commercial Viability to 20%, reduce Content Relevance to 15%
  • Content creation campaigns: Increase Content Relevance to 30%, reduce Audience Alignment to 15%
Step 4 — Risk Flag Assessment

Flag influencers with critical risk indicators:

Risk Flag Trigger Severity
🔴 Bot Audience >20% fake/bot followers Disqualifying
🔴 Competitor Exclusive Active deal with direct competitor Disqualifying
🟡 Controversy History Past 12 months controversial content Review Required
🟡 Engagement Anomaly ER >3× tier average (potential manipulation) Investigate
🟡 Audience Mismatch <40% demo overlap with target Low Priority
🟢 Rate Premium CPM >2× benchmark Negotiate
Step 5 — Shortlist & Tier Recommendation

Rank influencers by composite score and organize into partnership tiers:

  • Tier A — Anchor Partners (Top 10%): Long-term ambassadorships, exclusive deals, co-creation
  • Tier B — Campaign Partners (Top 11–30%): Campaign-specific collaborations, multi-post packages
  • Tier C — Amplification Partners (Top 31–60%): One-off posts, product seeding, affiliate programs
  • Below Threshold (Bottom 40%): Not recommended; document reasons

Output Specification

  1. Scored Roster Table: All influencers ranked by composite score with per-dimension breakdowns
  2. Risk Flag Summary: Flagged influencers with risk type, severity, and recommended action
  3. Top 10 Shortlist: Recommended partners with rationale and suggested partnership tier
  4. Partnership Structure Recommendations: Deliverables, compensation model, and timeline per tier
  5. Budget Allocation: Recommended spend distribution across influencer tiers
  6. Competitive Intelligence: Notable competitor influencer partnerships observed

Examples

Input: "Score these 15 food bloggers for our organic snack brand launch on Instagram. Target audience is health-conscious millennials in the US. Budget $50K."

Output: Ranked roster with composite scores. Top 5 micro-influencers (25K–80K followers) score highest due to strong audience alignment (82% health/wellness interest match) and above-average engagement. Two macro influencers flagged for competitor conflict (active partnerships with competing snack brands). Budget allocation: 60% micro (8 creators), 30% mid-tier (3 creators), 10% content licensing.

Input: "Evaluate these 8 TikTok creators for our Gen Z skincare line. We need high conversion potential."

Output: Scoring with Commercial Viability weighted at 20%. Top 3 creators identified with proven affiliate sales history, active TikTok Shop integration, and product-review content style. Two creators flagged for engagement anomalies suggesting potential bot activity. Recommended: 3-creator program with affiliate commission structure + flat fee hybrid.

Guidelines

  • Always verify engagement authenticity — inflated metrics waste budget and distort ROI
  • Weight dimensions differently based on campaign objective; one size does not fit all
  • For CPG, prioritize creators who show organic product usage in their content (not just paid posts)
  • Consider content repurposing rights in partnership structure (whitelisting, paid amplification)
  • Evaluate audience overlap between shortlisted creators to avoid redundant reach
  • For regulated CPG categories (food, supplements), verify creator compliance with FTC/FDA guidelines
  • Nano and micro creators typically deliver 3–5× the engagement rate of macro at lower CPMs
  • Always check for audience geographic concentration — a US brand needs US-majority audiences
  • Recommend a mix of tiers: anchors for credibility, micro for engagement and conversion

Validation Checklist

  • All six scoring dimensions are evaluated with documented rationale
  • Composite scores use appropriate objective-based weight adjustments
  • Risk flags are assigned and disqualifying risks result in removal
  • Shortlist includes clear tier assignments with partnership recommendations
  • Cost efficiency benchmarks are platform- and tier-specific
  • Audience overlap analysis is performed across shortlisted creators
  • Budget allocation is realistic and sums to provided budget
  • FTC/compliance considerations are addressed for regulated categories
1---
2name: influencer-fit-scoring
3description: >
4 Scores and ranks influencers for brand partnership fit using a multi-dimensional framework
5 covering audience alignment, engagement quality, brand safety, content relevance, and commercial
6 viability for CPG and retail e-commerce campaigns. Use when evaluating potential influencer
7 partners, building shortlists, or comparing candidates. Triggers on requests for influencer
8 evaluation, creator partnerships, influencer scoring, KOL assessment, or ambassador selection.
9 
10metadata:
11 display_name: "Influencer Fit Scoring"
12 short_description: "Score influencer-brand partnership fit and alignment"
13 default_prompt: "Score my influencer fit and explain what to improve"
14 version: "1.0.1"
15 tags:
16 - cpg-retail
17 icon_path: "assets/icon.png"
18---
19 
20# Influencer Fit Scoring
21 
22## Overview
23 
24This skill applies a weighted scoring model to evaluate influencer-brand fit across six dimensions: audience alignment, engagement authenticity, content relevance, brand safety, commercial potential, and cost efficiency. It produces a ranked shortlist with composite scores, risk flags, and partnership recommendations tailored to CPG and retail e-commerce objectives.
25 
26## When to Use
27 
28- Evaluating a list of potential influencer partners for a campaign
29- Building a tiered influencer roster (mega, macro, micro, nano)
30- Comparing influencer candidates for a specific product launch or promotion
31- Assessing existing influencer partnerships for renewal decisions
32- Vetting influencers for brand safety and audience authenticity
33- Structuring an influencer marketing program from scratch
34 
35## Required Inputs
36 
37| Input | Required | Description |
38|---|---|---|
39| Influencer Profiles | Yes | Name, handle, platform, follower count, niche/category |
40| Brand / Product | Yes | Brand identity, product category, target positioning |
41| Campaign Objective | Yes | Awareness, engagement, conversion, content creation, or loyalty |
42| Target Audience | Yes | Demographics, interests, geography of desired reach |
43| Budget Range | No | Total influencer budget to inform tier recommendations |
44| Engagement Metrics | Recommended | Average likes, comments, shares, saves, video views |
45| Audience Demographics | Recommended | Follower age, gender, location breakdown (from analytics tools) |
46| Past Collaboration Data | No | Previous brand deals, competitor partnerships, performance history |
47| Brand Safety Requirements | No | Categories, topics, or associations to avoid |
48 
49## Methodology
50 
51### Step 1 — Tier Classification
52 
53Categorize each influencer by reach tier:
54 
55| Tier | Follower Range | Typical CPG Use Case | Avg. Engagement Rate |
56|---|---|---|---|
57| Nano | 1K–10K | Authentic advocacy, niche communities | 4%–8% |
58| Micro | 10K–100K | Targeted reach, high engagement, UGC | 2%–5% |
59| Mid-Tier | 100K–500K | Balanced reach and engagement | 1.5%–3% |
60| Macro | 500K–1M | Broad awareness, trend-setting | 1%–2% |
61| Mega | 1M+ | Mass awareness, celebrity association | 0.5%–1.5% |
62 
63### Step 2 — Six-Dimension Scoring Model
64 
65Score each influencer on a 0–100 scale across six dimensions:
66 
67**Dimension 1: Audience Alignment (Weight: 25%)**
68- Demographic overlap with target audience (age, gender, location)
69- Interest category alignment (beauty, food, fitness, parenting, etc.)
70- Audience income level proxy (based on content, brand affinities)
71- Geographic concentration in target markets
72 
73```
74Score = (Demo Match % × 0.4) + (Interest Match % × 0.3) + (Geo Match % × 0.3) × 100
75```
76 
77**Dimension 2: Engagement Quality (Weight: 20%)**
78- Engagement rate vs. tier benchmark (above/at/below average)
79- Comment quality ratio: meaningful comments ÷ total comments
80- Saves and shares ratio (high-intent signals)
81- Follower growth trajectory (organic vs. spike patterns)
82 
83```
84Score = (ER Percentile × 0.4) + (Comment Quality × 0.3) + (Save/Share Ratio × 0.2) + (Growth Health × 0.1) × 100
85```
86 
87**Dimension 3: Content Relevance (Weight: 20%)**
88- Content category alignment with brand/product
89- Content production quality (visual, audio, editing)
90- Content format match with campaign needs (Reels, long-form, Stories, etc.)
91- Organic product integration naturalness (does the creator authentically use similar products?)
92 
93**Dimension 4: Brand Safety (Weight: 15%)**
94- Controversial content history scan (political, offensive, polarizing)
95- Competitor partnership conflicts (exclusivity concerns)
96- FTC compliance history (proper #ad disclosure)
97- Audience bot/fake follower percentage (flag if >15%)
98- Content tone alignment with brand values
99 
100```
101Score = 100 - (Controversy Penalty + Competitor Conflict Penalty + Compliance Risk Penalty + Bot Penalty)
102```
103 
104**Dimension 5: Commercial Viability (Weight: 10%)**
105- Previous sponsored content performance (vs. organic benchmarks)
106- Product-tagging and link-in-bio utilization (shoppability)
107- Track record of driving measurable actions (site traffic, sales, codes redeemed)
108- Professional responsiveness and reliability (if data available)
109 
110**Dimension 6: Cost Efficiency (Weight: 10%)**
111- Estimated CPM: (Influencer Fee ÷ Estimated Impressions) × 1,000
112- Estimated CPE: Influencer Fee ÷ Estimated Engagements
113- Benchmarked against tier and platform norms
114 
115| Platform | Tier | CPM Benchmark | CPE Benchmark |
116|---|---|---|---|
117| Instagram | Micro | $8–$15 | $0.15–$0.40 |
118| Instagram | Macro | $12–$25 | $0.30–$0.80 |
119| TikTok | Micro | $5–$12 | $0.05–$0.20 |
120| TikTok | Macro | $10–$20 | $0.10–$0.35 |
121| YouTube | Micro | $15–$30 | $0.25–$0.60 |
122| YouTube | Macro | $20–$40 | $0.40–$1.00 |
123 
124### Step 3 — Composite Score Calculation
125 
126```
127Composite Score = (Audience × 0.25) + (Engagement × 0.20) + (Content × 0.20)
128 + (Safety × 0.15) + (Commercial × 0.10) + (Cost × 0.10)
129```
130 
131Adjust weights based on campaign objective:
132- **Awareness campaigns**: Increase Audience Alignment to 30%, reduce Cost Efficiency to 5%
133- **Conversion campaigns**: Increase Commercial Viability to 20%, reduce Content Relevance to 15%
134- **Content creation campaigns**: Increase Content Relevance to 30%, reduce Audience Alignment to 15%
135 
136### Step 4 — Risk Flag Assessment
137 
138Flag influencers with critical risk indicators:
139 
140| Risk Flag | Trigger | Severity |
141|---|---|---|
142| 🔴 Bot Audience | >20% fake/bot followers | Disqualifying |
143| 🔴 Competitor Exclusive | Active deal with direct competitor | Disqualifying |
144| 🟡 Controversy History | Past 12 months controversial content | Review Required |
145| 🟡 Engagement Anomaly | ER >3× tier average (potential manipulation) | Investigate |
146| 🟡 Audience Mismatch | <40% demo overlap with target | Low Priority |
147| 🟢 Rate Premium | CPM >2× benchmark | Negotiate |
148 
149### Step 5 — Shortlist & Tier Recommendation
150 
151Rank influencers by composite score and organize into partnership tiers:
152 
153- **Tier A — Anchor Partners** (Top 10%): Long-term ambassadorships, exclusive deals, co-creation
154- **Tier B — Campaign Partners** (Top 11–30%): Campaign-specific collaborations, multi-post packages
155- **Tier C — Amplification Partners** (Top 31–60%): One-off posts, product seeding, affiliate programs
156- **Below Threshold** (Bottom 40%): Not recommended; document reasons
157 
158## Output Specification
159 
1601. **Scored Roster Table**: All influencers ranked by composite score with per-dimension breakdowns
1612. **Risk Flag Summary**: Flagged influencers with risk type, severity, and recommended action
1623. **Top 10 Shortlist**: Recommended partners with rationale and suggested partnership tier
1634. **Partnership Structure Recommendations**: Deliverables, compensation model, and timeline per tier
1645. **Budget Allocation**: Recommended spend distribution across influencer tiers
1656. **Competitive Intelligence**: Notable competitor influencer partnerships observed
166 
167## Examples
168 
169**Input**: "Score these 15 food bloggers for our organic snack brand launch on Instagram. Target audience is health-conscious millennials in the US. Budget $50K."
170 
171**Output**: Ranked roster with composite scores. Top 5 micro-influencers (25K–80K followers) score highest due to strong audience alignment (82% health/wellness interest match) and above-average engagement. Two macro influencers flagged for competitor conflict (active partnerships with competing snack brands). Budget allocation: 60% micro (8 creators), 30% mid-tier (3 creators), 10% content licensing.
172 
173**Input**: "Evaluate these 8 TikTok creators for our Gen Z skincare line. We need high conversion potential."
174 
175**Output**: Scoring with Commercial Viability weighted at 20%. Top 3 creators identified with proven affiliate sales history, active TikTok Shop integration, and product-review content style. Two creators flagged for engagement anomalies suggesting potential bot activity. Recommended: 3-creator program with affiliate commission structure + flat fee hybrid.
176 
177## Guidelines
178 
179- Always verify engagement authenticity — inflated metrics waste budget and distort ROI
180- Weight dimensions differently based on campaign objective; one size does not fit all
181- For CPG, prioritize creators who show organic product usage in their content (not just paid posts)
182- Consider content repurposing rights in partnership structure (whitelisting, paid amplification)
183- Evaluate audience overlap between shortlisted creators to avoid redundant reach
184- For regulated CPG categories (food, supplements), verify creator compliance with FTC/FDA guidelines
185- Nano and micro creators typically deliver 3–5× the engagement rate of macro at lower CPMs
186- Always check for audience geographic concentration — a US brand needs US-majority audiences
187- Recommend a mix of tiers: anchors for credibility, micro for engagement and conversion
188 
189## Validation Checklist
190 
191- [ ] All six scoring dimensions are evaluated with documented rationale
192- [ ] Composite scores use appropriate objective-based weight adjustments
193- [ ] Risk flags are assigned and disqualifying risks result in removal
194- [ ] Shortlist includes clear tier assignments with partnership recommendations
195- [ ] Cost efficiency benchmarks are platform- and tier-specific
196- [ ] Audience overlap analysis is performed across shortlisted creators
197- [ ] Budget allocation is realistic and sums to provided budget
198- [ ] FTC/compliance considerations are addressed for regulated categories
199 

Discussion

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