# Waleed Najam| Ecom expert (@waleed_najam) on tiktok

- id: koinon:creator:tiktok_waleed_najam
- url: https://koinonlink.com/kol/tiktok/waleed_najam
- schema_version: 1.4

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

## Reach
- followers: 83231
- 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: ecommerce
- subcategory: crossborder
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: China/Pakistan sourcing and supplier vetting, TikTok Shop ads, Spark ads and GMV Max, Meta ads optimization and creative testing, Shopify tools and store setup, AI tools for branding, creatives and prompts, Brand scaling case studies and subscription models
- bio: Ecom Founder | Helping Brands Scale | Forbes Business Council

## Audience (inferred)
- status: present
- description: Ecom founders, DTC brand owners and ad-focused e-commerce operators running TikTok/Meta ads and sourcing from China
- roles: ecom_ops
- seniority: decision_maker
- pain_points: Getting scammed or overpaying when sourcing from Chinese manufacturers, Ad budgets burning fast on TikTok/Meta with poor attribution and scaling issues, Struggling to find reliable tools and workflows for Shopify stores and creative testing, Low conversion and retention when selling low-ticket products without subscriptions
- posts_analysed: 74
- 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: 56
- authenticity_basis: profile_shape_only
- credibility_score: 56
- flagged_for_review: false
- koinon_bd_grade: B — 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_waleed_najam#66216ed6] ❌ Don’t get scammed by your suppliers! I am sharing what i have learned over the years in sourcing hundreds of products, let me know in comments which one is the most useful lesson for you? #productresearch #sourcing #china #scammed #ecom #foryou (https://www.tiktok.com/@waleed_najam)
- [tiktok_waleed_najam#1a94d3f3] original sound - waleed_najam
- [tiktok_waleed_najam#14d44ca8] It is a becoming a big trend on TikTok now! Click here: productresearch
- [tiktok_waleed_najam#18e548b2] Check out Waleed Najam| Ecom expert’s video! #TikTok >
- [tiktok_waleed_najam#6b7e645e] Search:
- [tiktok_waleed_najam#d138809d] scammed by suppliers
- [tiktok_waleed_najam#307aaac1] ✅Watch this video before traveling to China  Here are my favorite cities to travel in China for sourcing directly from manufacturers. #Foryou #reel #ecommerce #productresearch #alibaba #sourcing
- [tiktok_waleed_najam#b13b6bea] ❌Don’t travel to China for Sourcing❌ I am going to reveal secret websites where you can find all the manufacturers and factories to directly source your produ

## 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=71, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=71, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=71, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=71, 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=71, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=86, 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=71, 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=86, 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=86, method=platform_profile

## Freshness
- profile_checked_days_ago: 86
- content_analysed_days_ago: 71
- audience_updated_days_ago: 71

## AI retrieval
- indexing_requests: 9
- 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_waleed_najam
- Request removal: https://koinonlink.com/claim?k=tiktok_waleed_najam
- Terms: https://koinonlink.com/for-ai