# Customer Touchpoints and Insights (@CustomerTouchpointsandInsights) on youtube

- id: koinon:creator:youtube_customertouchpointsandinsights
- url: https://koinonlink.com/kol/youtube/CustomerTouchpointsandInsights
- schema_version: 1.4

## Identity
- platform: youtube
- handle: CustomerTouchpointsandInsights
- platform_url: https://www.youtube.com/@CustomerTouchpointsandInsights
- country: Nigeria
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 5010
- 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: software
- subcategory: martech
- category_confidence: 0.8
- category_source: derived_from_recent_content
- topics: Customer Trust Measurement Models, AI-driven Personalization and CX Automation, CRM and Loyalty Program Case Studies, Trust-building during Business Transformation, African/ Nigerian company growth stories
- bio: Bio - Driving Business Growth and Strategy, Delivering Significant Value. About Us - We offer organizations tailored solutions to ...

## Audience (inferred)
- status: present
- description: CX professionals, customer experience managers and mid-to-senior business executives seeking to build measurable customer trust and apply AI/CRM tactics
- roles: cx
- seniority: decision_maker
- pain_points: Customer trust eroding during digital or organizational transformations, Satisfaction metrics failing to predict actual retention or advocacy, AI and data initiatives creating friction instead of loyalty, Difficulty translating customer feedback into board-level strategy and ROI
- posts_analysed: 48
- confidence: 0.75

## 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: 40
- authenticity_basis: profile_shape_only
- credibility_score: 40
- 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
- [youtube_customertouchpointsandinsights#4c227f78] Transformation Should Strengthen Customer Trust (https://www.youtube.com/@CustomerTouchpointsandInsights)
- [youtube_customertouchpointsandinsights#9b538914] Customer Trust During Transformation
- [youtube_customertouchpointsandinsights#1a50581c] The SafePassage™ Customer Trust Measurement Model
- [youtube_customertouchpointsandinsights#a6ceef55] SafePassage™ Executive Briefing
- [youtube_customertouchpointsandinsights#ddf82aa6] Customer Trust Deserves More
- [youtube_customertouchpointsandinsights#c5a09ce4] Customer Satisfaction ≠ Customer Trust
- [youtube_customertouchpointsandinsights#ba7320d0] Customer Trust Begins in the Boardroom
- [youtube_customertouchpointsandinsights#621e02e9] Customer Trust: Your Organisation's Most Valuable Asset

## 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=78, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=78, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=78, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=78, 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=78, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=78, 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=78, 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=78, 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=78, method=platform_profile

## Freshness
- profile_checked_days_ago: 78
- content_analysed_days_ago: 78
- audience_updated_days_ago: 78

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