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📊 GT Protocol’s Weekly Top Strategies Here are this week’s results from GT APP: 1️⃣ Jarvis: leads again with a solid +3.35% 2️⃣ SickSolution: delivers a confident +1.31% return 3️⃣ KingQueen: adds +0.40% 4️⃣ Sigma-ETH: rounds out the list with +0.11% 🚀 Discover these strategies now — only on...

38,842 views • 7 months ago •via X (Twitter)

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How I Achieved $3K MRR in Just 5 Months! #2 🚀 i did not limit my #ASO to the USA, instead i expanded to major international markets like France, Germany, Canada, and Brazil. here is the secret: don’t underestimate other App Stores. let me explain step by step. the keyword competition in these regions can be much lower than in the US, making them potential gold mines. in fact, Brazil became the top country for my subscription sales! 🇧🇷 i truly believe this strategy was a game-changer, helping me reach $3K MRR in just 5 months—all with zero-cost marketing. here is how you can do it step by step: 1️⃣ Download a store-switching app to explore other App Stores. I use Store Switch, but you can pick any similar app that works for you. here is the appstore link for this app: 2️⃣ Define your app niche. For example, if you’re building a habit tracker app, use the store-switching app to change your App Store region to your target country (e.g., Brazil). 3️⃣ Research the competition. Search for “Habit Tracker” in the selected store. You’ll find apps already localized for that region. Use these localized titles and subtitles to optimize your app for ASO. 4️⃣ Leverage suggested keywords. As you type search terms like “habitos” that you found in the selected country store, you’ll see Apple’s suggested keywords—an absolute goldmine for ASO. Add these terms to your app’s title to boost its discoverability. BTW: I’ve started regularly posting my zero-cost marketing and ASO strategies to share how I achieved $3K MRR in just 5 months. I’m not claiming to be an expert—just trying to help as much as I can. I’m also eager to learn from you! Let’s keep in touch and make 2025 our best year yet. 💪 📹 I’ve attached a quick video walkthrough to show you how it’s done. Check it out! 👇 #buildinpublic #indiehackers #iosdevs #flutter #buildinginpublic

Alley

11,576 views • 1 year ago

For reference, below are two video screen recordings demonstrating Naver searches for [idol name] (method 2️⃣) — which some less transparent accounts often choose to omit from their reports: ⬅️ A — Unique non-Korean name → returns results exclusively for Felix (from Stray Kids), without needing the group name. One can’t simply disregard this search method ([idol name] 2️⃣) — not only does it correctly return the target artist, it’s also the more common way to search. ➡️ B — Korean name → returns results that can include other figures with the same or similar names; This is common for many artists with pure Korean names. Nevertheless, all search data for the Korean [idol name] is included in our final report. *** As the prior example screenshot (quoted post below ↓) comparing the three methods shows, searches for the [idol name] (2️⃣) are also substantially more frequent than searches for [group name + idol name] (3️⃣). In his case too, the keyword clearly refers to the artist from the 3rd gen group; excluding that higher-volume query (2️⃣) and counting only the less-common [group name + idol name] (3️⃣) would severely misrepresent the data. In practice, Naver users typically search (2️⃣) [idol name] = Felix (필릭스) and receive Stray Kids Felix’s main page exclusively. Official stage names are indexed by the stage name alone; generally only homonym-heavy or lesser-known figures require a group prefix to get accurate search results. *** 👉 Anyone can verify these results themselves via official sources (Naver DataLab for Naver, Google Trends for Google). 📌 Social media often contains inaccurate claims circulating far & wide with no fact check. We provide detailed explanations here so everyone can correct misrepresented data with facts & logic in the future. Always equip yourself with knowledge & critical thinking to recognize and reject incomplete data & false narratives.

FELIX CHARTS

15,740 views • 10 months ago