01-brand-research

# BRAND PROFILE ## Tone of voice - Adjectives: data-driven, direct, no-nonsense - Sample 1: "Signal masuk pagi ini — NVDA breakout konfirmasi, entry di 485, target 510." - Sample 2: "Lu ga butuh intuisi kalau data udah bicara, follow rule-based sistem gue." ## Color palette - Primary: `#4915C1` deep purple — tech-forward, analytical, premium intelligence - Supporting 1: `#1A0B3D` midnight purple — depth, serious trading floor, anchor - Supporting 2: `#7C4DFF` bright purple — accent, alert signal, call-to-action - Supporting 3: `#E8E4F3` light lavender — background, data readability, breathing space - Mood: "trading terminal yang sophisticated, data-first tapi tetep approachable buat retail trader" ## Audience persona - Age: 28-42 - Job: mid-level professional Jakarta/Surabaya dengan side income trading, IT worker, entrepreneur muda yang udah punya modal 100-500jt buat alokasi saham US - Pain: informasi trading saham US berserakan (Reddit, Twitter, Telegram), susah filter noise vs signal, timezone US bikin susah monitor real-time, takut FOMO masuk posisi tanpa konfirmasi teknikal - Aspiration: punya sistem trading yang konsisten profit 15-25% per tahun, ga perlu jadi full-time trader tapi tetep capitalize peluang saham US, akses insight level institusi tanpa bayar Bloomberg terminal ## Brand archetype **Sage (analytical precision)** — primary archetype Sage, fokus di truth through data. Mereka positioning sebagai "orang paling tau" di ruangan, bukan entertainer. Hero tendency tipis (mastery angle di trading discipline), tapi core-nya wisdom + expertise delivery. ## Content pillar suggestions 1. **Daily signal drop** — screenshot chart dengan markup support/resistance, entry/exit price, reasoning 2-3 kalimat. Format: carousel 1 chart + 1 slide recap parameter. Tone: instruksi singkat, factual. 2. **Trade review** — weekly recap win/loss ratio, avg gain per trade, mistakes analysis. Transparansi performance build trust. Format: carousel data visualization. 3. **Market breakdown** — analisa makro (Fed rate, earning season impact, sector rotation). Edukasi-style, 6-8 slide carousel. Connect macro ke actionable takeaway. 4. **Tool tutorial** — cara pake indikator (RSI, MACD, volume profile), setting watchlist, risk management 2% rule. Format: reel 20-30s atau carousel step-by-step. 5. **Myth-busting** — debunk common trading misconceptions ("buy the dip always works", "saham turun = rugi"). Contrarian angle, comment-bait tinggi. # COMPETITOR RESEARCH **Data limitation notice:** Scrape data hanya dapat 1 competitor handle (`@stockus.id`), dan pre-scraped post data tidak disertakan dalam input. Analisa di bawah berdasarkan handle reference saja — **butuh scrape ulang buat dapat top 20 viral post gabungan dengan engagement metrics lengkap.** Tanpa post data konkret, gue ga bisa provide: - Hook formula breakdown per post - Engagement rate comparison - URL citation / caption excerpt - CTA pattern analysis - Anti-hype flag verification **Rekomendasi:** Dashboard perlu trigger Scrape Creators buat `@stockus.id` + tambah 2-5 competitor handle lain di niche saham US Indonesia (mis. `@saham.us`, `@investasi_us`, `@wallstreet.id`, `@nasdaq.indo`) buat dapat dataset yang cukup buat competitor research. **Placeholder insight (berdasarkan niche knowledge, BUKAN data):** Competitor di niche trading signal Indonesia biasanya pake pattern: - **Screenshot chart overload** — carousel 10 slide full chart tanpa narasi jelas (user overwhelm) - **Hype claim** — "profit 200% dalam 3 bulan" angle yang risk flagged algoritma - **Testimonial spam** — slide 5-8 isinya screenshot chat member "terima kasih sinyal profit" - **Paywall teaser** — "join grup premium buat dapat signal lengkap" di tiap post (engagement turun karena audiens cape di-sales) Brand Zeta AI harus **differentiate** dengan: - Transparansi performance (tunjukin loss juga, bukan cuma win) - Edukasi > sales (ratio 4:1, tiap 4 post edukasi baru 1 soft-sell) - Visual clean (1 chart per slide, big number, minimal clutter) - Rule-based reasoning (selalu kasih "why entry di sini" bukan cuma "beli TSLA sekarang") # TRENDING RADAR **Data limitation notice:** Pre-scraped trending audio + hashtag data tidak disertakan dalam input. Radar di bawah berdasarkan niche knowledge per Januari 2025, BUKAN real-time scrape — **butuh trending data refresh buat akurasi.** Tanpa trending data konkret, gue ga bisa provide: - Freshness window countdown yang akurat - Engagement signal comparison (Yx baseline) - Audio title spesifik dari IG trending API - Hashtag post count real-time **Rekomendasi:** Dashboard perlu fetch trending data: - IG trending audio di kategori "business/finance" geo Indonesia - Hashtag dengan growth spike di niche `#saham`, `#trading`, `#investasi`, `#stockmarket` - Cross-reference dengan top 20 post kompetitor buat identify pattern recurrent **Placeholder trend (berdasarkan pattern historis niche finance Indonesia, BUKAN real-time):** - "market open bell + chart zoom" (audio) - Relevance: 8/10 - Freshness: **data ga cukup** — butuh scrape trending audio - Signal: **data ga cukup** - Why: Audio ASMR opening bell + visual chart candlestick zoom. Format reel 8-12s yang biasa viral di finance niche. Zeta AI bisa execute pagi hari (overlap US market close = Jakarta pagi). - #sahamusmarketopen (hashtag) - Relevance: 9/10 - Freshness: **data ga cukup** — butuh hashtag usage curve - Signal: **data ga cukup** - Why: Micro-tier hashtag lokal yang spesifik timing. Kombinasi dengan `#nasdaq`, `#sp500`, `#stocktrading` buat mix tier. - "trade setup explained" carousel format (topic) - Relevance: 10/10 - Freshness: **pattern evergreen** — bukan trend time-sensitive - Signal: 2x baseline di niche edukasi finance (estimate berdasarkan historis) - Why: Format 5-7 slide: slide 1 chart markup, slide 2-6 reasoning (support/resistance/volume/catalyst), slide 7 CTA save. Fit sempurna sama pillar Daily signal drop + Market breakdown. - "loss porn transparency" trend (topic) - Relevance: 7/10 - Freshness: **data ga cukup** — butuh pattern recurrence check - Signal: Comment ratio sangat tinggi (5-10% estimate) karena controversial - Why: Trend "tunjukin loss gede + lesson learned" lagi naik di trading community sebagai counter-narrative dari bragpost profit. Zeta AI bisa execute 1x per bulan (jangan sering, risk association negatif). Tapi **hati-hati**: kalau loss-nya ga di-frame sebagai learning, bisa backfire jadi "sistem ga jalan" perception. - #fedrate + #fomc (hashtag combo) - Relevance: 9/10 - Freshness: **event-driven** — relevan tiap FOMC meeting (8x setahun) - Signal: 3-4x baseline likes saat week of FOMC - Why: Macro event yang directly impact saham US. Post 1-2 hari sebelum FOMC = maksimal reach. Format: carousel prediksi + post-FOMC reaction comparison. **Action buat dashboard:** Re-run research ini setelah: 1. Scrape `@stockus.id` + 3-5 competitor handle lain (get top 20 viral post masing-masing) 2. Fetch trending audio/hashtag dari IG API atau manual scrape top finance posts 7 hari terakhir 3. Pass semua data ke Risa ulang buat generate full COMPETITOR RESEARCH + TRENDING RADAR dengan metrics lengkap