通过托管 OAuth 代理调用 Apollo.io API,完成人员与公司搜索、联系人补全和销售数据管理。
文档
ASO
Optimize app store listings with keyword research, A/B testing, and conversion tactics for iOS and Android.
它能做什么
Keyword Research Competitor analysis: what keywords do top apps rank for? Search volume vs difficulty: long-tail converts better than head terms Seasonal keywords: plan metadata updates around trends Localize keyword research per market — direct translation misses local search patterns Track rankin…
技能文档
App Store Optimization Rules
Keyword Research
- Competitor analysis: what keywords do top apps rank for?
- Search volume vs difficulty: long-tail converts better than head terms
- Seasonal keywords: plan metadata updates around trends
- Localize keyword research per market — direct translation misses local search patterns
- Track ranking changes weekly — ASO is continuous optimization
iOS Metadata
- Title (30 chars): primary keyword + brand, front-load keywords
- Subtitle (30 chars): secondary keywords, benefit statement
- Keyword field (100 chars): no spaces after commas, no duplicates from title/subtitle
- Apple indexes title, subtitle, keyword field, and IAP names
- Promotional text doesn't affect ranking — use for timely updates
Android Metadata
- Title (30 chars): same rules as iOS
- Short description (80 chars): high keyword density, hooks user
- Long description (4000 chars): keywords in first and last paragraphs, 2-3% density
- Google indexes all text including reviews
- Developer name and URL affect rankings
Visual Optimization
- First two screenshots = 80% of impression impact — make them count
- Show outcomes and benefits, not UI — "Lost 20lbs" not "Calorie tracker"
- Text overlays: large font, readable on small screens, localized
- Video preview: 15-30 seconds, hook in first 3s, works without sound
- Icon: simple, recognizable at 16px, stands out from competitors
A/B Testing
- iOS Custom Product Pages: test up to 35 variants per page
- Google Store Listing Experiments: screenshots, descriptions, icons
- Test one element at a time — multiple changes hide winners
- Run tests to statistical significance — 7 days minimum
- Winner replaces default, start next test
Conversion Optimization
- Ratings 4.0+ is table stakes — below kills conversion rate
- Review count signals credibility — more installs = more reviews flywheel
- "Editors' Choice" and featuring dramatically boost conversion
- Size under 100MB avoids WiFi-only download friction
- Recent updates signal active development
Review Management
- Respond to all negative reviews within 24 hours
- Ask clarifying questions — often converts 1-star to 4-star after fix
- Update response after shipping fixes — reviewers can update rating
- Never argue, always empathize and offer solution
- Report fake reviews through official channels
Localization
- Top 10 languages cover 80% of global downloads
- Cultural adaptation > literal translation — local idioms, examples
- Localize screenshots and video — text overlays must match language
- Local keyword research per language — search behavior differs
- Local pricing strategies — purchasing power varies
Seasonal and Event Strategy
- Update metadata for holidays, events, seasons
- iOS LiveOps and In-App Events boost visibility
- Time updates to avoid review delays — submit 3+ days early
- Coordinate with marketing campaigns — consistent messaging
Tracking and Analytics
- Impression to install conversion rate by source
- Keyword rankings daily — catch drops early
- Competitor tracking — their wins are your opportunities
- Attribution: which keywords drive paying users, not just installs
- Organic vs paid split — healthy apps have majority organic
相关技能
面向 iOS 平台的构建、上架与调试:覆盖生命周期、权限、推送、Widget、StoreKit 与 App Store 审核。
从 AdMapix API 拉取广告创意、应用、榜单和收入预估等数据,原样返回结构化 JSON。
从你的 agent 直接与自己创建的 37Soul AI 角色聊天,并指示他们发帖。
通过自然语言提示生成交互式仪表盘、数据可视化与网页应用。
从命令行审计、评分并修复网站在 AI 搜索下的就绪度。
Iván 的更多技能
浏览全部技能执行 Git 操作(提交、分支、合并、变基、冲突解决与恢复)时强制套用安全规则。
用可量化的层级、间距、字号、配色与版式规则,绘制并诊断视觉作品。
围绕 CSS 机制排查问题并编写组件样式表,而不是凭感觉试错。
以系统方式规划并执行自学:从出口测试倒推课程,加入间隔复习与刻意练习,产出可验证的迁移证据。
针对你的 Azure 订阅,做架构设计、故障排查、安全加固与成本优化
按配置的 JDK 版本诊断 Java 与 JVM 问题(从 NPE 到容器 OOM),给出可直接套用的代码与配置。