# Aditya Singh  - I Run Ads (@adityasingh-irunads) on youtube

- id: koinon:creator:youtube_adityasingh-irunads
- url: https://koinonlink.com/kol/youtube/adityasingh-irunads
- schema_version: 1.4

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

## Reach
- followers: 33700
- 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: martech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Meta Ads optimization and creative testing, Google/YouTube Ads and Demand Gen strategies, Agency scaling and service decisions, Lead generation for real estate and healthcare, Landing pages, conversion and tracking fixes, AI workflows (Claude) for marketing busywork
- bio: Aditya Singh has been a digital marketer for the last 8 years, and he is actively working with 300+ brands. He is an expert in ...

## Audience (inferred)
- status: present
- description: Meta/Google ads specialists, performance marketers and small-medium digital agency owners/executives running lead-gen campaigns, especially in India and international real estate/healthcare verticals
- roles: ads
- seniority: practitioner
- pain_points: Scaling Meta/Google campaigns without flooding the funnel with junk or low-quality leads, Hitting agency revenue ceilings (e.g. stuck below ₹5L/month) due to poor service mix or operations, Relying on misleading metrics like CPL instead of LTV and hidden reporting issues, Manual bottlenecks at volume (Google Sheets breaking, needing developers for landing pages)
- posts_analysed: 40
- confidence: 0.75

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

## Quality signals
- authenticity_score: 51
- authenticity_basis: profile_shape_only
- credibility_score: 51
- 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
- [youtube_adityasingh-irunads#cded6ef1] Stop Optimising for CPL. Track LTV Instead | Aditya Singh (https://www.youtube.com/@adityasingh-irunads)
- [youtube_adityasingh-irunads#89af071e] Meta Gets the Lead. Google Closes the Sale | Aditya Singh
- [youtube_adityasingh-irunads#aa42ca22] Stop Scaling Every Google Campaign | Aditya Singh
- [youtube_adityasingh-irunads#332c03e4] Photo Ads Are NOT Dead Yet | Aditya Singh
- [youtube_adityasingh-irunads#2e1ef94b] Why Raw Videos Outperform Polished Ads | Aditya Singh
- [youtube_adityasingh-irunads#3f60e22d] UGC Alone Won't Scale Your Brand | Aditya Singh
- [youtube_adityasingh-irunads#25e9d546] Why Single-Service Agencies Never Scale | Aditya Singh
- [youtube_adityasingh-irunads#12609c51] Never Add a Service for Just One Client | Aditya Singh

## 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=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=67, 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=67, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=110, 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=67, 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=110, 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=110, method=platform_profile

## Freshness
- profile_checked_days_ago: 110
- content_analysed_days_ago: 67
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 12
- 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_adityasingh-irunads
- Request removal: https://koinonlink.com/claim?k=youtube_adityasingh-irunads
- Terms: https://koinonlink.com/for-ai