# Andreas Stenman (@andreas stenman) on linkedin

- id: koinon:creator:linkedin_andreas stenman
- url: https://koinonlink.com/kol/linkedin/andreas%20stenman
- schema_version: 1.4

## Identity
- platform: linkedin
- handle: andreas stenman
- platform_url: https://www.linkedin.com/posts/andreas-stenman_a-typical-example-of-what-the-performance-activity-7475797996375285760-9Lg7
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- posts_observed: 1
- verified: false
- size_tier: nano

## Engagement
- status: not_measurable_on_platform
- status_note: This platform publishes no follower count, so an engagement RATE has no denominator here. No amount of further collection can produce one — it is a property of the platform, not a gap in our data.
- 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: Performance creative production workflows, Tool stacks for ad creative teams, Process examples using Google Docs, Asana, Frame and Drive
- bio: A typical example of what the performance creative process looks like in practice. Google Docs for briefs, Asana for production tracking, Frame for review, Drive for assets, Sheets for naming convention and handoff, Ads Manager for performance. etc etc. That works fine at low volume, but the problem

## Audience (inferred)
- status: present
- description: Performance marketers and ad creative teams focused on production workflows for paid campaigns
- roles: ads
- seniority: practitioner
- pain_points: Fragmented tool stacks for briefs, tracking, review and asset management, Inconsistent naming conventions and version control in creative production, Bottlenecks in review/approval loops for performance creatives
- posts_analysed: 1
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 60
- authenticity_basis: platform_default
- 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
- [linkedin_andreas stenman#14ad59f5] A typical example of what the performance creative process looks like in practice. Google Docs for briefs, Asana for production tracking, Frame for review, Drive for assets, Sheets for naming convention and handoff, Ads Manager for performance. etc etc. That works fine at low vol (https://www.linkedin.com/posts/andreas-stenman_a-typical-example-of-what-the-performance-activity-7475797996375285760-9Lg7)

## 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=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=76, 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=76, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=116, 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=76, method=Fixed value 60. This platform exposes no public follower count, so no authenticity heuristic is run at all. The number is a placeholder, not a measurement. — 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=116, method=llm_partner_fit_classifier + fit_score >= 0.5 => A; >= 0.35 => B; else C. authenticity is not an input. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=116, method=platform_profile

## Freshness
- profile_checked_days_ago: 116
- content_analysed_days_ago: 76
- audience_updated_days_ago: 76

## 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=linkedin_andreas%20stenman
- Request removal: https://koinonlink.com/claim?k=linkedin_andreas%20stenman
- Terms: https://koinonlink.com/for-ai