# WASK (@waskdigital) on x

- id: koinon:creator:x_waskdigital
- url: https://koinonlink.com/kol/x/waskdigital
- schema_version: 1.4

## Identity
- platform: x
- handle: waskdigital
- platform_url: https://twitter.com/waskdigital
- website: https://www.wask.co/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 787
- following: 255
- posts_total: 517
- posts_observed: 4
- posts_per_day: 0.171
- account_age_days: 3025
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00127
- best_post_interactions: 1
- 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: software
- subcategory: ai_tools
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: AI-powered ad campaign optimization, Autonomous advertising agents, Real-time performance monitoring for Google Ads and Meta Ads, AI automation in digital advertising
- bio: The AI Agents for High-Performing Google Ads & Meta Ads & OpenAI Ads 🤖

## Audience (inferred)
- status: present
- description: Marketing professionals using Google Ads and Meta Ads who are exploring AI automation for campaign management
- roles: ads
- seniority: practitioner
- pain_points: Struggling to monitor and optimize ad campaigns in real time due to time constraints, Finding it hard to scale ad performance without increasing team workload, Lacking tools that can autonomously detect underperforming ads and suggest fixes
- posts_analysed: 3
- 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: 57
- authenticity_basis: engagement_observed
- credibility_score: 57
- 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_waskdigital#b5b19359] What if your ads could monitor themselves? ✨ With WASK AI Agent, you can create specialized AI agents that analyze campaign performance, identify opportunities, and recommend actions in real time. Smarter optimization. Faster decisions. Better results. 🚀 #WASK #AIAgent #AgenticA (https://twitter.com/waskdigital/status/2071608191050190946)
- [x_waskdigital#cd1e31f7] Introducing WASK AI Agent 🚀 Build your own AI-powered advertising team to monitor performance, uncover opportunities, and optimize campaigns around the clock. Your next marketing hire isn't human. #WASK #AIAgent #AgenticAI #MarketingAutomation #DigitalMarketing https://t.co/9g3W
- [x_waskdigital#8aa32281] What if your ads could manage themselves? With WASK AI Agent, you can create specialized AI assistants that monitor campaign performance, identify optimization opportunities, and recommend actions in real time. Analyze. Optimize. Scale. 🚀 #WASK #AgenticAI #AIAgent https://t.co/T

## 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=21, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=21, 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=108, 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=108, 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=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 80
- audience_updated_days_ago: 21

## AI retrieval
- indexing_requests: 8
- 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_waskdigital
- Request removal: https://koinonlink.com/claim?k=x_waskdigital
- Terms: https://koinonlink.com/for-ai