# LiveRamp (@LiveRamp) on x

- id: koinon:creator:x_liveramp
- url: https://koinonlink.com/kol/x/LiveRamp
- schema_version: 1.4

## Identity
- platform: x
- handle: LiveRamp
- platform_url: https://twitter.com/LiveRamp
- website: http://LiveRamp.com
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 6458
- following: 1650
- posts_total: 6240
- posts_observed: 8
- posts_per_day: 1.112
- account_age_days: 5613
- verified: false
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00031
- 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: software
- subcategory: martech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: First-party data strategies, Data collaboration platforms, CTV and Retail Media opportunities, Ad tech partnerships, Customer data activation
- bio: Data collaboration platform of choice for the world’s most innovative companies

## Audience (inferred)
- status: present
- description: Marketing, advertising, and media professionals at brands and agencies focused on data strategies and ad tech
- roles: ads
- seniority: decision_maker
- pain_points: Lack of first-party data limiting personalization, Difficulty accessing additional customer data sources, Navigating emerging channels like CTV and Retail Media, Building effective data collaborations with partners
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: true
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 46
- authenticity_basis: engagement_observed
- credibility_score: 61
- 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_liveramp#24fa380e] We're officially in The Big Apple to meet with the brightest minds in marketing, advertising, media, and tech! 🤩🍎 Anyone else attending #AWNewYork23? 👀 Let us know what you're looking forward to the most! 👇 https://t.co/qA1P6bv5dk (https://twitter.com/LiveRamp/status/1690109400218832896)
- [x_liveramp#e05b887f] Learn how @Smartly.io and LiveRamp are working together to help advertisers better understand their customers, unlock access to more data, and enhance critical KPIs like targeting, reach and measurement across digital and social platforms.💡 https://t.co/DOGqxq3hnQ
- [x_liveramp#2d436ab6] First-party data is key to creating personalized customer experiences. But what if you lack first-party data? Data collaboration can help you fill in the missing pieces. 🧩 Learn five ways to unlock new value through the power of data collaboration ⬇️ https://t.co/n5hxYi6IAU
- [x_liveramp#7f5dbac1] Our report with @eMarketer shares why CTV and Retail Media are the biggest opportunities in 2023. Check it out here

## 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=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=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=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=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: 77
- audience_updated_days_ago: 76

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