# JesseScrubLab (@jessescrublab) on tiktok

- id: koinon:creator:tiktok_jessescrublab
- url: https://koinonlink.com/kol/tiktok/jessescrublab
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: jessescrublab
- platform_url: https://www.tiktok.com/@jessescrublab
- website: https://linktr.ee/jessescrublab
- country: United Kingdom
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 3307
- following: 337
- posts_observed: 1
- verified: false
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: ecommerce
- subcategory: dtc_brand
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: cleaning business contracts, pricing and charging models, execution and standing out, AI use in cleaning services, scaling and team management
- bio: Just a guy building a cleaning company from the ground up 🧹

The wins, the losses, all of it documented
Free game along the way 👇

## Audience (inferred)
- status: present
- description: aspiring and current small cleaning business owners in the UK, especially those targeting contracts with letting agents, student housing, or hotels
- roles: sales
- seniority: practitioner
- pain_points: securing letting agent or large client contracts, pricing services to avoid undercharging while staying competitive, standing out in a crowded local market, scaling operations with reliable staff and quality control
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.1
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 38
- authenticity_basis: profile_shape_only
- credibility_score: 38
- flagged_for_review: false
- koinon_bd_grade: C — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [tiktok_jessescrublab#e1239ca6] The comments on my last video had me in shock 😭 There is a huge difference between cleaning and detailing and if you’re paying premium prices you deserve to know exactly what that difference is 🧹 #cleaningbusiness #CleanTok #storytime #advise #CleaningTips (https://www.tiktok.com/@jessescrublab)
- [tiktok_jessescrublab#43710844] Dust Collector
- [tiktok_jessescrublab#0bfaa4cc] It is a becoming a big trend on TikTok now! Click here: cleaningbusiness
- [tiktok_jessescrublab#731d9631] Check out JesseScrubLab’s video! #TikTok >
- [tiktok_jessescrublab#6b7e645e] Search:
- [tiktok_jessescrublab#2b0c862a] traveller cleaning washine machime
- [tiktok_jessescrublab#a3fd3a2b] I closed 160 unit student accommodation this shows you anything is possible #CleanTok #cleaningbusiness #entrepreneur
- [tiktok_jessescrublab#7c9cd39e] original sound - quiet_den

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=66, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=66, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=66, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=66, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=66, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=79, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=66, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=79, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=79, method=platform_profile

## Freshness
- profile_checked_days_ago: 79
- content_analysed_days_ago: 66
- audience_updated_days_ago: 66

## AI retrieval
- indexing_requests: 6
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=tiktok_jessescrublab
- Request removal: https://koinonlink.com/claim?k=tiktok_jessescrublab
- Terms: https://koinonlink.com/for-ai