# ARMY ALGHIFARI (@army_alghifari) on threads

- id: koinon:creator:threads_army_alghifari
- url: https://koinonlink.com/kol/threads/army_alghifari
- schema_version: 1.4

## Identity
- platform: threads
- handle: army_alghifari
- platform_url: https://www.threads.net/@army_alghifari
- website: https://scalev.id/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 11682
- posts_observed: 1
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00719
- best_post_interactions: 84
- measurement_source: threads_post_likes
- measurement_formula: likes on one post (Threads exposes no reply or repost count on this path)
- 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: 0.95
- category_source: derived_from_recent_content
- topics: Meta Ads投放建议, 广告算法机制, SaaS产品开发风险
- bio: Scalev founder. Animal keeper.

## Audience (inferred)
- status: present
- description: Meta Ads beginners and small-budget advertisers focused on learning ad placement and algorithm optimization
- roles: ads
- seniority: learner
- pain_points: Limited budget makes testing and optimization difficult, Unfamiliarity with Meta's algorithm leads to inconsistent performance, Tendency to blindly copy SaaS tools without understanding
- posts_analysed: 3
- 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: 77
- authenticity_basis: engagement_observed
- credibility_score: 77
- 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
- [threads_army_alghifari#fb1e507a] Kalo budget Anda tipis, baru mulai belajar ngiklan di Meta Ads, saran sy ada 3: 👇 (https://www.threads.com/@army_alghifari/post/DBu2Iczynrk)
- [threads_army_alghifari#1045356d] Mungkin ini bukan kasus yang terakhir. Mungkin akan ada yang bergelimpangan lainnya. Tergoda melihat SaaS yang kayanya “gitu doang” terus ikut bikin juga. Kalo udah liat hantu aslinya sih, dijamin mikir berkali-kali mau ikutan. Saya jg kalo disuruh ngulang dari nol, males ngerjai
- [threads_army_alghifari#e92c5293] Salah satu "the beauty of Meta Algorithm". Jadi pola seperti ini sangat sering saya temui ketika beriklan. Meta "berusaha menjaga performa iklan" saat creative kita membusuk dengan menargetkan orang secara lebih "presisi". Walau saya bilang Meta yang mengusahakan, tapi sebetulnya

## 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=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=120, 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=120, 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=120, method=platform_profile

## Freshness
- profile_checked_days_ago: 120
- content_analysed_days_ago: 78
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 5
- 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=threads_army_alghifari
- Request removal: https://koinonlink.com/claim?k=threads_army_alghifari
- Terms: https://koinonlink.com/for-ai