# Maryann |Klaviyo Email Marketer (@abonyi_maryann) on x

- id: koinon:creator:x_abonyi_maryann
- url: https://koinonlink.com/kol/x/abonyi_maryann
- schema_version: 1.4

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

## Reach
- followers: 6575
- following: 1376
- posts_total: 26149
- posts_observed: 3
- posts_per_day: 11.325
- account_age_days: 2309
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00152
- best_post_interactions: 10
- 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: ecommerce
- subcategory: ecom_ads
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Email marketing for replenishable e-commerce brands, Product launch email strategies, Building credibility through results, Course creation and audience validation, Using storytelling in email campaigns
- bio: Email marketing for replenishable ecom brands. Documenting my journey to $100M in client revenue. AI Fanatic. Big on Faith | Family | Finance

## Audience (inferred)
- status: present
- description: Email marketing practitioners and aspiring email marketers for replenishable e-commerce brands, especially those focused on conversion-driven campaigns and product launches
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling to validate demand for their own email marketing course or product before launch, Having difficulty proving results without concrete data or case studies, Not knowing how to structure a successful email campaign for a product launch, Lacking confidence in their ability to attract and retain email subscribers without consistent engagement
- posts_analysed: 5
- 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: 75
- authenticity_basis: engagement_observed
- credibility_score: 75
- flagged_for_review: false
- koinon_bd_grade: A — 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_abonyi_maryann#42ce09a6] My choir said “white dress” because it’s the first Sunday of August 🤭 Happy new month fam https://t.co/0FlwwRpcIB (https://twitter.com/abonyi_maryann/status/1998306564461990094)
- [x_abonyi_maryann#4c1f5242] My highlight for July was saying I was launching an email marketing course, when I wasn’t ready to. Putting it out there to see if people actually want it. And so far, 22 people have pre ordered it. Yet the course isn’t even launched 🥹🙌🏻
- [x_abonyi_maryann#e5841ca5] All I see is “RESULTS” “RESULTS” Typical example of “show, don’t tell”
- [x_abonyi_maryann#ea391277] You want to become an email marketer, but you don’t read emails. Lmao
- [x_abonyi_maryann#6dc5a4df] We just concluded a successful product launch for a client, and this is how we did it step by step. First, here’s a backstory: The client chatted with me to let me know they had just added a new product to their website and that we should try to incorporate campaigns in the comin

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=78, 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=78, 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=78, 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: 78
- audience_updated_days_ago: 20

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