# tays emails👩🏼‍💻 (@krackedretentionbts) on tiktok

- id: koinon:creator:tiktok_krackedretentionbts
- url: https://koinonlink.com/kol/tiktok/krackedretentionbts
- schema_version: 1.3

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

## Reach
- followers: 10597
- following: 1789
- posts_observed: 14
- 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: ecommerce
- subcategory: ecom_ads
- category_confidence: 0.93
- category_source: derived_from_recent_content
- topics: Email design for ecommerce brands, Email marketing strategy and flows, Retention and repeat revenue via email/SMS, Free email audits, strategy calls, and custom designs, Niche-specific campaigns (skincare, apparel, beverages, snac

## Audience (inferred)
- status: present
- description: Ecommerce brand owners and marketing practitioners running email/SMS for DTC brands in apparel, skincare, supplements, and CPG
- roles: ecom_ops
- seniority: decision_maker
- pain_points: Leaving revenue on the table because emails and SMS aren't converting, Spending heavily on ads while retention and repeat purchases stay flat, Emails stuck in 'waiting on branding' or using ineffective templates, Struggling to build flows and campaigns that actually drive repeat revenue
- posts_analysed: 100
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 42
- authenticity_basis: profile_shape_only
- credibility_score: 42
- 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_krackedretentionbts#d195970c] Most brands are leaving serious revenue on the table with their email and SMS. On this page, I’m pulling back the curtain on the real work we build for ecommerce brands every day real client email designs, before-and-afters, results, and the strategies behind them. No recycled ma (https://www.tiktok.com/@krackedretentionbts)
- [tiktok_krackedretentionbts#49bcd22d] original sound - krackedretentionbts
- [tiktok_krackedretentionbts#365395f0] It is a becoming a big trend on TikTok now! Click here: emailmarketing
- [tiktok_krackedretentionbts#d4c046b4] Check out tays emails👩🏼‍💻’s video! #TikTok >
- [tiktok_krackedretentionbts#e2f5d58e] Which email design is your favorite?? COMMENT BELOW!👀👇🏼📧👋🏼 #marketing #emailmarketingcampaigns #emai

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

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=26, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=26, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=26, 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=19, 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=19, 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=19, method=platform_profile

## Freshness
- profile_checked_days_ago: 19
- content_analysed_days_ago: 0
- audience_updated_days_ago: 26

## 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_krackedretentionbts
- Request removal: https://koinonlink.com/claim?k=tiktok_krackedretentionbts
- Terms: https://koinonlink.com/for-ai