# PowerADSpy (@PowerADSpy) on x

- id: koinon:creator:x_poweradspy
- url: https://koinonlink.com/kol/x/PowerADSpy
- schema_version: 1.4

## Identity
- platform: x
- handle: PowerADSpy
- platform_url: https://twitter.com/PowerADSpy
- website: https://linktr.ee/poweradspy
- entity_type: creator
- person_id: koinon:person:linkedin_poweradspy

## Reach
- followers: 1636
- following: 370
- posts_total: 1940
- posts_observed: 2
- posts_per_day: 0.596
- account_age_days: 3256
- verified: false
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00122
- best_post_interactions: 2
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: 0.95
- category_source: derived_from_recent_content
- topics: Facebook Advantage+策略, 广告竞品分析与spy工具, 提醒广告与再营销, FB Ads Library使用
- bio: PowerAdSpy is a Search Engine of 1 Billion Digital ads across FB/Google/Insta/YT/Native/Quora/Reddit/Pinterest etc. Remove guess work from your ads today!

## Audience (inferred)
- status: present
- description: Facebook/Google ad practitioners, mainly small to medium advertisers, agency teams, and campaign executors
- roles: ads
- seniority: practitioner
- pain_points: Manual targeting is getting harder—new strategies are needed to succeed with Advantage+, Don’t know what competitors are running, lacking effective spying tools, Users don’t convert on first visit—need to design reminder ad sequences, Want to quickly decode competitor ads but lack a systematic approach
- posts_analysed: 4
- confidence: 0.4

## 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: 55
- authenticity_basis: engagement_observed
- credibility_score: 55
- 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
- [x_poweradspy#28d02b2b] Manual Facebook targeting is dying. Advantage Plus is the new standard, but it’s not a "set and forget" magic button. You still need a strategy to win. Here’s the blueprint for scaling your ads without trashing your budget. 📈 Guide: https://t.co/VFFOxlRCfF #MediaBuying https://t (https://twitter.com/PowerADSpy)
- [x_poweradspy#09b1c022] Most people don't buy on the first visit. They get distracted, compare prices, or just forget. Reminder ads aren't about "selling", they're about staying in the room until the customer is ready to pull the trigger. 🎯 Here are 3 tactics : https://t.co/tfIlI12Ech https://t.co/753K
- [x_poweradspy#cdce03fb] Want a competitive edge? 🕵️‍♂️ Don't just watch your rivals, decode them. Learn how to: ✅ Use AI tools like PowerAdSpy ✅ Master the FB Ads Library ✅ Reverse engineer landing pages ✅ Track winning metrics Read: https://t.co/z1bAuLBmPE🚀 #DigitalMarketing #Ads #GrowthHacking https
- [x_poweradspy#38b5b5f6] Advertising

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=80, 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=80, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=111, 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=0.5, freshness_days=80, 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=111, 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=111, method=platform_profile

## Freshness
- profile_checked_days_ago: 111
- content_analysed_days_ago: 80
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 14
- 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=x_poweradspy
- Request removal: https://koinonlink.com/claim?k=x_poweradspy
- Terms: https://koinonlink.com/for-ai