# ClearAction / Lynn Hunsaker, CCXP (@clearaction) on x

- id: koinon:creator:x_clearaction
- url: https://koinonlink.com/kol/x/clearaction
- schema_version: 1.4

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

## Reach
- followers: 6987
- following: 2160
- posts_total: 52704
- posts_observed: 1
- posts_per_day: 8.053
- account_age_days: 6545
- 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: software
- subcategory: martech
- category_confidence: 0.8
- category_source: derived_from_recent_content
- topics: CX Metrics and Revenue Tie-in, CX Prioritization in Corporate Agenda, Customer Experience Management (CXM), Growth through CX=EX
- bio: Multiply growth with CX Value Multipliers Forum: Growth=CX=EX at https://t.co/zZpay7G5y0  

#CustomerExperience  #CustomerCentric #RevOps

## Audience (inferred)
- status: present
- description: CX professionals, RevOps managers and customer-centric business leaders focused on metrics, prioritization and revenue impact
- roles: cx
- seniority: practitioner
- pain_points: Linking CX metrics to revenue outcomes like EPS and investor returns, Getting CX prioritized on corporate agendas against common myths, Measuring leading indicators before customers experience the brand, Adapting CX approaches across different personality types
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.3
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: profile_shape_only
- credibility_score: 58
- 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
- [x_clearaction#a580c678] Leading indicators can be measured only BEFORE a customer experiences you. #CXM mistake-proofs what customers experience. Outside-in running of the biz. #CustomerExperience is customers' view of your processes' outputs. #CX How-to's at https://t.co/4jBQhCT2S8 https://t.co/TD9Ncy3 (https://twitter.com/clearaction/status/2071250043580174437)
- [x_clearaction#675e3bbf] CX Prioritization (a) in corporate agenda and (b) in CXM practices: myths blocking growth vs superior approaches! New article: 7 graphics, 3 tables, loads of pro tips https://t.co/7zVMgnCzrG #CX #CustomerExperience #RevOps #CustomerSuccess https://t.co/l4SFTOeTkv
- [x_clearaction#98f94e69] 💰 Revenue Metrics: How "CX Metrics" Tie-in Study flow of metrics from before 1st touchpoint to investors' EPS, and you'll find ways to multiply #CX performance & growth! Signup for my weekends newsletter: https://t.co/AVKz9lbqjz #CustomerExperience #CustomerCentric https://t
- [x_clearaction#78322a65] Here's how you can get any personality type to bu

## 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=77, 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=77, 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=77, 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: 77
- audience_updated_days_ago: 67

## 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=x_clearaction
- Request removal: https://koinonlink.com/claim?k=x_clearaction
- Terms: https://koinonlink.com/for-ai