# Raja Hamza Rasheed (@ecomstorieswithraja7538) on youtube

- id: koinon:creator:youtube_ecomstorieswithraja7538
- url: https://koinonlink.com/kol/youtube/ecomstorieswithraja7538
- schema_version: 1.4

## Identity
- platform: youtube
- handle: ecomstorieswithraja7538
- platform_url: https://www.youtube.com/@ecomstorieswithraja7538
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 1030
- 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: ecom_ads
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Amazon PPC tactics and tools, Product ranking and keyword strategies, Sourcing from India vs China, New seller tips and common mistakes, Expert interviews on Amazon selling, Automation vs human workforce on Amazon
- bio: eCom Stories With Raja is An official Show for the eCom Industry. This show Help To stay Motivated, Be Successful in the Industry ...

## Audience (inferred)
- status: present
- description: Amazon FBA sellers, primarily new to intermediate sellers focused on PPC, product ranking, sourcing and scaling
- roles: ecom_ops
- seniority: practitioner
- pain_points: Amazon PPC campaigns not converting or wasting budget, Products failing to rank despite relevant keywords, Sourcing and shipping challenges from India/China to US/EU, Difficulty choosing profitable products and pricing strategies
- posts_analysed: 25
- confidence: 0.6

## 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: 31
- authenticity_basis: profile_shape_only
- credibility_score: 31
- 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_ecomstorieswithraja7538#acd5e076] Tips for new sellers: Brian R. Johnson suggests key business models and budgets #shorts (https://www.youtube.com/@ecomstorieswithraja7538)
- [youtube_ecomstorieswithraja7538#0c8cdd1f] Danny McMillan Reveals Solutions to Amazon Automatic PPC Managers Tool's Problem #Shorts
- [youtube_ecomstorieswithraja7538#33644082] Bradley Sutton Tells The 3 Features Must-Have For Any Product #shorts #BradleySutton #rajahamza
- [youtube_ecomstorieswithraja7538#4c9dfbae] Exporting From India: What Challenges Await When Shipping to USA and Europe #shorts #meghlabhardwaj
- [youtube_ecomstorieswithraja7538#14056174] What to do When a Highly Relevant Keyword Isn't Performing on Amazon #shorts #rajahamzarasheed #kane
- [youtube_ecomstorieswithraja7538#1821b5f3] Helium 10 Ambassador Karyn Reveals How Helium 10 Collects Data and Delivers to Users! #shorts #Karyn
- [youtube_ecomstorieswithraja7538#87bc1a10] What are the Most Common Mistakes New Sellers Make in Amazon PPC #shots #BrianRJohnson's #amazonfba
- [youtube_ecomstorieswithraja7538#a7655499] Ashley Armstone Reveals the Hidden Rules to be Successful on Amazon #shorts #RajaHamzaRasheed

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

- audience.description: source_type=ai_inferred, confidence=0.6, freshness_days=78, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=78, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, 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=112, 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=112, 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=112, method=platform_profile

## Freshness
- profile_checked_days_ago: 112
- content_analysed_days_ago: 78
- audience_updated_days_ago: 78

## AI retrieval
- indexing_requests: 11
- 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_ecomstorieswithraja7538
- Request removal: https://koinonlink.com/claim?k=youtube_ecomstorieswithraja7538
- Terms: https://koinonlink.com/for-ai