# That LOAN Girl (@thatloangirl) on tiktok

- id: koinon:creator:tiktok_thatloangirl
- url: https://koinonlink.com/kol/tiktok/thatloangirl
- schema_version: 1.3

## Identity
- platform: tiktok
- handle: thatloangirl
- platform_url: https://www.tiktok.com/@thatloangirl
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 12224
- following: 1626
- posts_observed: 1
- verified: false
- size_tier: koc

## 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: software
- subcategory: fintech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Mortgage business growth for loan officers, Tech adoption in mortgage (especially AI tools), Broker vs. independent loan officer dynamics, Client Direct Mortgage company culture and opportunities, State licensing and expansion for loan officers, TikTok content strategy for mortgage professionals
- bio: Madison Jones NMLS#2269633 |DRE#01728202

## Audience (inferred)
- status: present
- description: Mortgage loan officers and brokers, primarily in the US, especially those interested in business growth, tech adoption, and working with Client Direct Mortgage
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling to grow their business in a saturated market with limited access to new states due to licensing, Frustrated by brokers who take more profit on flat-fee models without added value, Overwhelmed by the need to adopt new tech (like AI) but unsure how to implement it effectively, Feeling stuck between competing with other loan officers and wanting to focus on client relationships instead of vanity 
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.4
- promotion_intent: 0.2
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 45
- authenticity_basis: profile_shape_only
- credibility_score: 45
- 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_thatloangirl#c6695e94] I wasn’t planning on starting a Mortgage CEO Battle today… but here we are. 😂🥊 @Barrett Financial Group, LLC, I see what you’re doing over there. 👀 We love our CEO too — especially when the culture comes with a little white-glove treatment. 🧤✨ So I guess the question is… WHO’ (https://www.tiktok.com/@thatloangirl)
- [tiktok_thatloangirl#ce7a0d0f] Ok I Like It
- [tiktok_thatloangirl#99048d4a] It is a becoming a big trend on TikTok now! Click here: mortgagetiktok
- [tiktok_thatloangirl#ee6b9f39] Check out That LOAN Girl’s video! #TikTok >
- [tiktok_thatloangirl#6d48c42d] Ignorance is bliss- but at what cost… #LoanOfficer #MortgageB

## 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=0, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=22, 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=0, 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=22, 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=22, method=platform_profile

## Freshness
- profile_checked_days_ago: 22
- content_analysed_days_ago: 0
- audience_updated_days_ago: 0

## AI retrieval
- indexing_requests: 1
- 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_thatloangirl
- Request removal: https://koinonlink.com/claim?k=tiktok_thatloangirl
- Terms: https://koinonlink.com/for-ai