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    ![image](https://hackmd.io/_uploads/SJsR7S10lg.png) 三款 AI 产品,定位是如上,SpatialLM 是基座,是基础设施;再其之上,是集成其他的产品的技术解决方案,可以是自建的解决方案 SpatialGEM,也可以是集成其他 AI 生态的解决方案,例如 AI Workflow 中的一环;最上层是开箱即用的应用层。从下至上,面对的用户基数递增,Infra 的使用者对技术以及 LLM 相关技术得有所了解,再往上则是能用来解决具体业务问题,初、中级的研发人员,依旧需要技术人员才能使用;最上层,只要是目前使用 AI 的用户,均能使用。 以下为各个产品的运营方向: ## Infra SpatialLM ### Acquisition 以开发者为中心的获取策略: 1. **内容运营:建立信任和技术品牌** 1. 策略:生产对开发者有吸引力的技术内容,体现 SpatialLM 的实用性和强大。 2. 具体产出,说明:PGC、DGC、CGC,分别为官方生产、个体开发者生产、企业生产(部分开发者背后的企业) 1. PGC:技术向——SpatialLM 技术架构、预训练、对齐、目标识别等等;产品向——更新;使用向——场景、使用教程(图文、视频等) 2. DGC:用户实践、最佳使用; 3. CGC:用户案例,业务场景、实现方案、实现细节、收益; 3. 分发策略:开发者社区——知乎、开源中国、掘金、思否、Dev.to、Medium 等等; 4. 流量获取:平台流量在运营,结实相关平台运营获得内容曝光和流量; 2. **社区建设:构建信息沉淀与流量新入** 1. 策略:自建、维护一个供 SpatialLM 爱好者、使用者的社区; 2. 具体操作: 1. GitHub:积极处理 issue 和 PR,保持一个同开发者紧密联系的关系; 2. 自建论坛,承载问答、文章、活动等互动形式。好处: 1. 知识沉淀与 SEO:将重复提问和优质解答结构化,形成可被搜索引擎收录的帖子,极大提升网站的 SEO 权重和自然流量; 2. LLM 友好型数据:结构化的问答和文章是未来训练垂直领域 LLM 或被其检索引用的最佳数据源; 3. 用户数据金矿:在论坛注册时,可鼓励用户填写公司、职位等信息进行“企业认证”。这既能收集到高价值的销售线索,又能形成“XX 公司也在用 SpatialLM”的真实背书; 4. 活动与互动中心:所有运营活动都有了最佳的落地页面,便于用户参与和讨论; 3. **生态构建:扩大影响力,获取额外流量** 1. 策略:同其他 AI 解决方案商建立合作关系,将 SpatialLM 称为其 AI 解决方案环上一环,以获取该合作伙伴的用户流量; 2. 具体操作: 3. 自动化厂商:Dify、n8n; 4. **竞品转化:快速获取用户** 1. 策略:向接触竞品的用户介绍产品,以获得下一步转化。 2. 具体操作: 3. 竞品 GitHub Star 用户:爬取相关竞品的 star 用户列表,分类后,针对性地 BD; 4. 竞品用户案例:竞品早起采用客户的触达,选择早起用户是因为早期用户因为时间的原因,原有技术负责人容易发生变更,加上竞品新用户进来疏忽早期用户,同竞品的关系不再那么稳固。(容易撬动 5. **KOL 合作:免费快速获得大量曝光** 1. 策略:通过国内外 AI 领域 KOL 的社交媒体,推荐 SpatialLM 以获得其粉丝的关注; 2. 具体操作:接触 Twitter(X)、小红书、微博等平台 AI 领域的 KOL,以活动形式(代言人、品鉴官等等),或者自荐形式得到相关流量; ### Activation 1. 产品侧:提供一键部署?Colab Notebook 在线体验环境(这个也是 GitHub 上国外用户问到的一个问题,见 issue:https://github.com/manycore-research/SpatialLM/discussions/54 ; 2. 内容(文档)侧:简单上手的使用,快速入门指南、具体友好的新手指引; 3. 运营策略:免费试用; ### Retention 2D、2B、2G,最重要的是解决用户 / 企业遇到的使用、优化问题,以下为若干方向: 1. 内容:模型更新、用户案例发布、使用技巧; 2. 用户:问答互助、不定期回访; 3. 活动:线下交流——答疑、走访、Meetup、用户大会等等; ### Revenue 1. 变现:社区产出销售线索; 2. 传播: 1. 布道师,由社区活跃用户发展而来,给予社区荣誉、技术支持等奖励,激励用户出去分享、推荐 SpatialLM; 2. 地区用户组(User Group),由各地区的活跃用户聚集而成,协助推广 SpatialLM 在企业中落地,走入企业进行深入交流; ### Referral 案例构建口碑传播 ## Solution SpatialGEM 解决方案的目标用户是特定领域的企业,所以如何获取企业的渠道很重要。SpatialLM 和 SpatialGEM 都要服务开发者和企业的话,但前者可以走社区用户互帮互助路线,后者则要投入官方自己的研发力量,来解决客户的使用问题。 获客方式有: 1. 内容营销: 1. 白皮书:针对特定行业领域,发布 SpatialGEM 在 xx 行业的白皮书,打造行业解决方案形象; 2. 线上技术交流会:邀请行业客户,举办线下闭门会、线上交流会,分享落地实践经验,并收集与会人员的个人信息; 3. 标杆案例:将行业领先企业的案例,或是知名企业的上线案例进行包装,制作成图文、视频等形式,在行业、社群进行传播; 2. 精准投放(没做过,但是可以尝试的一个方式) 当中有部分思路和 spatialLM 有重叠,不赘述。 ## Application SpatialChat 虽然产品名没定,暂时管它叫通用的 Chat。按照知乎上的介绍,这个产品的定位应该是对叙事控制、镜头语言和时空一致性有高要求的创作者与商业团队打造的内容生产力工具。 **用户获取** 1. 内容营销 1. 产出炫技式官方短片:制作一系列 10 - 30 s 的官方演示视频,极限展示产品的独特优势(目前其他的视频生成市场为 5s)。比如: 1. 一镜到底: 演示镜头如何在复杂场景中(如穿梭于森林、房间)流畅运镜,无缝切换视角,突出“空间漫游”能力; 2. 角色恒定: 在多个不同场景和光线下,保持同一角色的面部、服装特征高度一致,直击“人物崩坏”的痛点; 3. 经典复刻: 用 AI 复刻经典电影(如《黑客帝国》的子弹时间)中的多角度镜头,这里有个公关风险,就是 ip 侵权; 2. 发布会/技术白皮书: 在产品正式发布时,举办线上发布会,让 AI 产品总监亲自讲解“3D渲染与视频增强一体化管线”的技术原理,并发布技术白皮书,建立起技术权威形象; 2. 精准 KOL 合作 1. 合作对象:放弃泛娱乐 KOL,精准筛选产出精致、优质视频的专业创作者; 2. 合作形式:提供产品的早期使用权,邀请他们进行深度体验和评测,甚至联合创作一个“完全由 AI 生成”的短片。他们的背书,对专业用户群体的吸引力是指数级的; 2. 活动:发起“创作者计划” 1. 简介:公开招募 50 名来自不同领域的视频创作者(短片导演、动画师、Vlogger、广告人),提供免费的 Pro 账户和一对一的技术支持,鼓励他们探索产品的应用边界。这不仅能积累第一批高质量的 UGC 内容,还能收集到最宝贵的专业用户反馈; **用户激活** 1. 工作流导向的新手引导:首次引导不再是“一键生成”,而是引导用户完成一个“**三镜头短片**”的制作:① 远景交代环境 -> ② 人物近景特写 -> ③ 过肩镜头展现对话。让用户在 3 分钟内亲身体验到“运镜”和“时空一致性”的魅力; 2. 提供**场景化**模板库:内置“产品发布会开场”、“科幻场景追逐”、“房地产漫游”等商业和创作模板,用户只需替换关键词和元素,即可快速生成准专业级视频,极大降低使用门槛; **用户留存** 1. 专业功能迭代 2. 建立作品广场:在官网和产品内,开辟专门区域展示“创作者计划”以及后期用户产出的优秀作品,并附上作者和 Prompt 分享。这不仅能激励创作者,更能成为展示产品能力的最佳“活广告”; 3. 技能进阶: 定期邀请合作的 KOL 或内部人员,举办线上直播,分享高级运镜技巧、叙事节奏把控等进阶内容,构建高粘性的专业创作者社区; **商业转化** 可参考 midjourney 等工具的收费模式; **产品传播** 1. 水印即广告: 免费版导出的视频水印,除了 logo 外,可以加上“由 SpatialChat AI生成,体验次世代视频创作”的 slogan; 2. 用户推荐计划: 推荐其他创作者使用,双方均可获得额外的生成时长或临时解锁高级功能;

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