# Adrian Swinscoe (@adrianswinscoe) on x

- id: koinon:creator:x_adrianswinscoe
- url: https://koinonlink.com/kol/x/adrianswinscoe
- schema_version: 1.4

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

## Reach
- followers: 7580
- following: 2334
- posts_total: 27526
- posts_observed: 2
- posts_per_day: 4.432
- account_age_days: 6211
- 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: 0.85
- category_source: derived_from_recent_content
- topics: AI applications in customer experience, Digital accessibility in AI contexts, Machine customers and future CX trends, Frontline employee roles in CX, Podcast interviews with CX experts
- bio: Customer Service & Experience. Advisor. Speaker. Best-Selling Author (How To Wow, Punk CX and now Punk XL). Contributor to CX Today, CMS Wire and others.

## Audience (inferred)
- status: present
- description: CX professionals, customer service leaders, and experience strategists focused on AI integration and service improvement
- roles: cx
- seniority: practitioner
- pain_points: Adapting CX strategies to AI-first environments while maintaining quality, Balancing deep specialism with generalist AI tools in customer interactions, Preparing for machine customers and emerging digital behaviors, Empowering frontline employees to drive measurable CX improvements
- posts_analysed: 7
- 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: 59
- authenticity_basis: profile_shape_only
- credibility_score: 59
- 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_adrianswinscoe#a49e4326] Here's a clip from the latest episode of the Punk CX podcast, featuring a recent chat I had with Jeff Coyle, Head of Strategy at @Siteimprove . Full episode here: https://t.co/My6xxshRrv https://t.co/d7Vk3BuJZt (https://twitter.com/adrianswinscoe/status/2070151150565744850)
- [x_adrianswinscoe#0cddd94b] NEW PODCAST: Why digital accessibility is no longer optional in an AI-first world – Interview with Jeff Coyle of @siteimprove | Adrian Swinscoe https://t.co/PyfkMbBlFq https://t.co/D4Jkt9b7VF
- [x_adrianswinscoe#2b373829] NEW: Why Deep Specialism Beats Generalist AI in CX https://t.co/Aii5pkmou7
- [x_adrianswinscoe#1356dfa0] PODCAST: The emerging world of machine customers – Interview with Katja Forbes | Adrian Swinscoe https://t.co/AczKV8gTHw
- [x_adrianswinscoe#afb41e81] AI Large Language Models: new report shows small changes can reduce https://t.co/qDz2RRTcJx https://t.co/mvKh71YenN
- [x_adrianswinscoe#42dd03ae] REDUX Your frontline employees hold the keys to improving your customer experience | Adrian Swinscoe https://t.co/M0uKOU53Gp https://t.co/VZxMTWZx8u
- [x_adrianswinscoe#1b9a731b] Never mind the 'attent

## 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=77, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=77, 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=117, 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=117, 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=117, method=platform_profile

## Freshness
- profile_checked_days_ago: 117
- content_analysed_days_ago: 77
- audience_updated_days_ago: 77

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