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    数据库

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  • What We Do

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    Feature

    • Business-Led, Data-Backed Digital Marketing
      • 以业务为导向、以数据为支撑的数字营销
    • Content / 内容:
      • We don’t just run campaigns; we engineer growth. Our digital marketing work is tied to revenue, profit, and CLV, with clear measurement and continuous optimization.
      • 我们不只“跑战役”,而是“工程化增长”。我们的数字营销与收入、利润和CLV挂钩,有清晰的衡量体系与持续优化。
    • Key Points:
      • Funnel-First Thinking / 漏斗优先思维:
        • Every channel decision starts from funnel goals: awareness, leads, conversion, or retention.
        • 每个渠道决策都从漏斗目标出发:认知、线索、转化或留存。
      • Data & Tech Agnostic / 数据与技术中立:
        • We work with your existing stack (Google, Adobe, HubSpot, etc.) and recommend tools based on ROI, not commission.
        • 我们在你现有技术栈上工作,根据ROI推荐工具,而不是拿返点。
      • Experimentation Culture / 实验文化:
        • We run structured A/B and multivariate tests to continuously improve creatives, landing pages, and journeys.
        • 运行结构化的A/B与多变量测试,持续优化创意、落地页与旅程。
      • Integration with Brand & Strategy / 与品牌、战略打通:
        • Digital marketing is aligned with brand strategy and corporate goals, not operating in a silo.
  • digital marketing

    • From Traffic to Revenue: Engineering Digital Growth

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    We are actively embracing the digital era, collaborating with top agencies across North America, Europe, and Asia, building a matrix of influencers with millions of followers, and creating brilliance together.

  • What We Do

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    Feature

    Module I: Digital Growth Strategy

    模块一:数字增长战略

    Core Issues / 核心议题: Funnel Strategy(漏斗战略) · Channel Mix(渠道组合) · Budget Allocation(预算配置)
    Starting with the business goal, not the channel.
    从业务目标出发,而不是从渠道出发。

    • Customer Funnel Design / 客户漏斗设计:
      • Mapping full-funnel from awareness → consideration → conversion → retention, and defining KPIs for each stage.
      • 绘制从认知→兴趣→转化→留存的全漏斗,并为每一层设定明确KPI。
    • Channel & Budget Mix Modeling / 渠道与预算组合建模:
      • Using historical data and attribution models to optimize budget allocation across SEO, SEM, social, and programmatic.
      • 利用历史数据与归因模型,优化SEO、SEM、社交、程序化等渠道间的预算分配。
    • Growth Playbook / 增长手册:
      • Documenting hypotheses, test roadmap, and measurement plan for continuous experimentation.

    Feature

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    Feature

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  • What We Do

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    Performance Media & Search (SEO/SEM)

    模块二:效果媒体与搜索(SEO/SEM)

    Core Issues / 核心议题: Search Advertising(搜索广告) · Programmatic(程序化) · CRO(转化率优化)
    Turning clicks into customers with measurable efficiency.
    用可衡量的效率,把点击变成客户。

    • Search Engine Marketing (SEM) / 搜索引擎营销:
      • Structuring accounts, testing creatives, and optimizing bids to improve ROAS and lower CPA on Google/Baidu etc.astoundz.com

    建账户结构、测试创意与优化出价,提升ROAS、降低CPA。

      • SEO & Content Strategy / SEO与内容策略:
        • Improving technical SEO and content relevance to increase organic visibility and qualified traffic.asgatech.com

      优化技术SEO与内容相关性,提升自然搜索可见度与高质量流量。

        • Programmatic & Display / 程序化与展示广告:
          • Designing audience targeting and creative variants to drive upper-funnel awareness at efficient cost.

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    Social & Content Marketing

    模块三:社交与内容营销

    Core Issues / 核心议题: Social Media(社交媒体) · Content Strategy(内容策略) · Influencer(影响者合作)
    Building brand affinity that feeds the funnel.
    构建滋养漏斗的品牌好感。

    • Social Media Strategy & Ops / 社交媒体策略与运营:
      • Defining platform roles, content pillars, and posting cadence to grow engaged communities.sia-partners.com

    确各平台角色、内容支柱与发布节奏,建设高互动的社群。

      • Content & Video Marketing / 内容与视频营销:
        • Creating blog, video, and interactive content that drives both SEO and social sharing.
        • 制作博客、视频与互动内容,同时驱动SEO与社交传播。
      • Influencer & Advocacy / 影响者与口碑运营:
        • Co-creating with influencers and brand advocates to reach niche audiences authentically.
  • What We Do

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    Marketing Automation & CRM

    模块四:营销自动化与CRM

    Core Issues / 核心议题: Lead Nurturing(线索培育) · Marketing Automation(营销自动化) · Lifecycle Marketing(生命周期营销)
    Moving from one-off campaigns to always-on journeys.
    从一次性战役转向“永远在线”的客户旅程。

    • Marketing Automation Design / 营销自动化设计:
      • Designing drip campaigns, dynamic content, and trigger-based journeys in platforms like HubSpot, Marketo, etc.
      • 在HubSpot、Marketo等平台设计滴灌活动、动态内容与触发式旅程。
    • Lead Scoring & Routing / 线索评分与路由:
      • Defining lead scoring models and handoff rules to align marketing and sales.
      • 设计线索评分模型与交接规则,打通市场与销售协同。
    • Retention & Loyalty Campaigns / 留存与忠诚度营销:
      • Running email, push, and in-app campaigns that drive repeat purchase and advocacy.
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    Analytics, Attribution & Data

    模块五:分析、归因与数据

    Core Issues / 核心议题: Marketing Analytics(营销分析) · Attribution(归因) · CDP/DMP(客户数据平台)
    Knowing what really works—so you can double down.
    知道真正有效的是什么——以便加大投入。

    • Marketing Data Infrastructure / 营销数据基础:
      • Integrating data from ads, web analytics, CRM, and offline sources into a unified view.
      • 整合广告、网站分析、CRM与线下数据,构建统一视图。
    • Attribution & Media Mix Modeling / 归因与媒体组合建模:
      • Moving beyond last-click to multi-touch attribution and media mix models to optimize budget.
      • 超越最后一次点击归因,采用多触点归因与媒体组合模型优化预算。
    • Dashboard & Reporting / 仪表盘与报告:
      • Building executive dashboards and campaign reports that highlight business impact, not vanity metrics.