从商品到可投放 HTML 模板,平均 8 小时上线,对比手工 2 周流程。 Product to publish-ready HTML template in 8 hours on average — vs. 2 weeks manually.
自进化的
AI 广告投手
The self-evolving
AI Ad Pilot
AI 广告投手,驱动生意持续增长。从竞品情报、创意生成、落地页发布到广告盯盘放量,把增长团队的核心动作连接成持续学习的闭环。 An AI ad pilot that keeps your business compounding. From competitor intel and creative generation to landing page publishing and ad scaling — every action a growth team takes is wired into one continuously learning loop.
同样的预算,3 个 Agent 跑出 3 倍效率 Same budget, 3× output with 3 Agents
从素材、落地页到投放,每一个执行环节都被 AI 接管 ——下面是真实客户在 90 天内拿到的平均数据。 From creatives to landing pages to media buying — every execution step is handled by AI. Below are average results customers see within 90 days.
AI 自动监控、调价、复制、关停,凌晨突变也能在 5 分钟内响应。 AI watches, scales, duplicates and pauses campaigns — reacting to midnight spikes within 5 minutes.
单人单日素材量从 5 条提升至 30+ 条,质量稳定经过 A/B 验证。 Per-creator daily output rises from 5 to 30+ assets — all A/B-validated for quality.
闭环优化运行 60 天后,胜出规律自动复用,ROAS 持续向上。 After 60 days of closed-loop optimization, winning patterns auto-replay and ROAS keeps climbing.
增长团队不是缺工具,
而是缺一个会持续执行的系统
Growth teams don't lack tools —
they lack a system that executes
素材、创意、落地页、投放和数据分散在不同工具里——WakeQora 用 5 个 Agent 把它们连接成持续学习的闭环,人设定增长目标,剩下的执行交给系统。 Research, creative, landing pages, media buying and data are scattered across tools. WakeQora links them into one continuously learning loop with 5 Agents — humans set the goal, the system handles execution.
WakeClaw
数据洞察Data Insight
自动读取竞品素材、热力数据和高潜关键词。 Read competitor creatives, heat signals and high-potential keywords automatically.
02 · CREATEWakeAI
素材创作Creative Generation
把素材规律转成广告图、短视频和测试版本。 Turn winning patterns into ad images, short videos and test variants.
03 · PAGEWakePage
页面发布Page Publishing
自动组合首屏结构、信任模块、CTA 和转化路径。 Compose above-the-fold blocks, trust badges, CTAs and conversion paths automatically.
04 · SCALEWakeScaling
投放放量Ad Scaling
连接主流投放渠道,持续执行预算调整和版本放量。 Plug into major ad channels and run budget shifts and creative scaling around the clock.
Learn
学习反馈Feedback Loop
把胜出规律写回下一轮素材、创意和页面生成。 Write winning patterns back into the next round of creatives, copy and pages.
把多源数据汇成
可执行的增长信号
Turn multi-source data into
actionable growth signals
扫描竞品广告、社媒、热力图与店铺数据,自动识别高潜信号并把它们送进下游 Agent——所有创意、页面和投放都站在真实证据之上。 Crawl competitor ads, social signals, heatmaps and store metrics. WakeClaw surfaces the high-potential patterns and pipes them to every downstream Agent — so every creative, page and ad campaign stands on real evidence.
从商品到可投放落地页 From product page to launch-ready landing page
自动理解商品、拆解卖点、生成高转化 HTML 页面,并一键发布为 Shopify 模板。 Auto-understand the product, distill selling points, generate high-converting HTML pages and publish to Shopify in one click.
让每个落地页都进入自进化循环 Every landing page lives inside an evolution loop
AI 持续读取热力图、A/B Test 和 Facebook 广告数据,自动生成页面变体,并把胜出规律沉淀为下一次生成规则。 AI continuously reads heatmaps, A/B tests and Facebook ad data, generates page variants and compounds winning patterns into the next round of generation rules.
收集多源数据Collect multi-source data
AI 同时读取热力图、A/B Test 结果、Facebook 广告与 GA 转化数据,把四类信号汇集进同一个决策上下文。 AI simultaneously reads heatmaps, A/B test results, Facebook ad performance and GA conversion data — funneling four signal types into one decision context.
发现机会点Surface opportunities
扫描所有页面区块,识别"高关注但低转化"的位置——典型的可优化机会点会被自动标红,弱化区域被标橙。 Scan every page block to find "high-attention, low-conversion" spots — typical optimization opportunities are auto-tagged red, soft zones tagged orange.
生成优化假设Generate optimization hypotheses
针对每个机会点,AI 同时产出 3 条可验证的优化假设:什么改、改成什么、预计带来多少提升。 For each opportunity, AI produces 3 testable hypotheses in parallel: what to change, what to change it to, and the expected lift.
生成页面变体Generate page variants
每条假设对应一个完整的页面变体(A / B / C),AI 自动产出可立即上线测试的 HTML,无需手工拼装。 Each hypothesis maps to a full page variant (A / B / C). AI ships test-ready HTML — no manual assembly required.
A/B 测出验证Validate via A/B test
真实流量打到所有变体,统计置信度达 95% 后由 AI 自动判定胜出方——这一轮 B 版本以 3.21% 转化率胜出。 Real traffic hits all variants. Once statistical confidence reaches 95%, AI declares a winner — this round, variant B wins at 3.21% conversion.
学习胜出规律Learn winning patterns
把胜出规律抽象为可复用的"页面规则",沉淀进规则库——下次生成新页面时,这些规律会自动作为先验生效。 Distill winning patterns into reusable "page rules" — written into the library so the next page generation uses them as priors.
从竞品证据生成高转化素材 Generate high-converting creatives from competitor evidence
结合产品特征、广告素材库和社媒用户语言,生成图片素材、分镜脚本、广告标题、正文和描述。 Blend product features, ad libraries and real social-language signals to generate images, video storyboards, headlines, body copy and descriptions.
让素材策略在真实反馈中自我进化 Creative strategy evolves from real feedback
AI 汇总广告表现、社媒播放、购物评论、热力图和竞品素材,识别胜出模式,自动生成下一轮素材方向。 AI aggregates ad performance, social plays, shopping reviews, heatmaps and competitor creatives to identify winning patterns and auto-generate the next round of creative direction.
汇总多源反馈Aggregate multi-source feedback
同步广告表现、社媒播放、购物评论与竞品素材库——把所有"市场反应"压缩进同一个创意决策上下文。 Sync ad performance, social plays, shopping reviews and competitor libraries — compress every "market reaction" into a single creative decision context.
识别胜出模式Identify winning patterns
在所有素材表现里找出"哪些 Hook / 视觉 / 节奏组合"持续高 CTR——红色为强胜出区,橙色为潜力区。 Surface which Hook / visual / pacing combinations consistently drive high CTR across all creatives — red marks strong winners, orange marks emerging potential.
生成创意假设Generate creative hypotheses
从胜出模式出发,AI 自动产出 Hook、Pain、Proof、Offer 四维度的可验证创意假设,每条都对应一种叙事方向。 Starting from winning patterns, AI generates testable hypotheses across four axes — Hook, Pain, Proof and Offer — each tied to a specific narrative direction.
批量生成素材Generate assets at scale
每条创意假设产出 3 种载体的素材:图片、分镜脚本、广告文案——所有素材即刻可投放到主流渠道。 Each hypothesis ships 3 asset formats: image creatives, video storyboards and ad copy — all ready to deploy to the major ad channels.
投放测试Run live tests
真实预算打到每条素材,按 CTR、CVR 与 ROAS 横向比较——这一轮 B 版本以 CTR 2.45% 胜出。 Real budget flows to each asset and they're compared head-to-head on CTR, CVR and ROAS — variant B wins this round at CTR 2.45%.
沉淀创意记忆Compound creative memory
胜出的素材规律自动写入五大创意库:Hook 库、视觉结构库、脚本节奏库、Offer 模式库、爆款案例库——下一轮自动作为先验生效。 Winning patterns are written into five creative libraries — Hook / Visual / Script / Offer / Case — and the next round treats them as priors automatically.
AI 实时盯盘,自动执行放量动作 AI watches accounts in real time, scales automatically
将广告账户实时数据变成可执行动作,在安全边界内持续测试、筛选和放量。 Turn real-time ad account data into executable actions — test, filter and scale within safe boundaries.
把 Amazon SP 广告运营,拆成 AI 能持续推进的经营系统 Turn Amazon SP operations into an AI-run operating system
从大卖真实账户出发,而不是从报表模板出发 Built from real seller accounts, not a reporting template
团队验证、AHA 场景、Pipeline 架构与私有化服务方式都已整理成可翻页的叙事 deck。 Team validation, AHA moments, pipeline architecture and private rollout are packaged as a slide-by-slide narrative deck.
增长团队的第二个引擎 The second engine for growth teams
下面是来自跨境美妆、DTC 服装、母婴、家居等品类客户的反馈——他们已经把 WakeQora 接进每天的增长动作里。 Feedback from customers across cross-border beauty, DTC apparel, baby goods, home and more — teams that already run WakeQora as part of their daily growth motion.
投放团队从 8 人减到 3 人,但 ROAS 反而涨了 40%。Agent 自动完成的工作量比人工还多,最关键的是它会"学习"——同一个错误不会犯两次。 Our media buying team went from 8 people to 3, yet ROAS climbed 40%. The Agents complete more work than humans did — and the kicker is they learn: same mistake never twice.
WakePage 让我们从想法到上线落地页只要 4 小时。以前 design + dev + QA 一周才能搞定,现在直接跳过整个交接环节。 WakePage takes us from idea to live landing page in 4 hours. What used to require design + dev + QA over a full week — the entire handoff chain just disappears.
Creative loop 真的会学习。第三轮素材的 CTR 比第一轮高 70%,完全是数据驱动出来的——不是凭运营经验拍脑袋。 The Creative Loop genuinely learns. CTR on the 3rd round was 70% higher than the 1st — fully data-driven, not gut feel from senior ops.
夜里 12 点 ROAS 突降,WakeScaling 自动降预算 + 复制高潜力组,第二天打开看完全没事。这种"安全网"是人力盯盘做不到的。 ROAS suddenly dropped at midnight — WakeScaling auto-cut budget and duplicated the high-potential set. Next morning everything was fine. That kind of safety net is impossible with a human-only setup.
三个 Agent 协同的好处是,素材一变好,落地页和投放自动跟进。整条链路自动跑通,不再需要每周协调五个工具。 The 3 Agents working in sync means once the creative improves, the landing page and ads catch up automatically. The whole chain runs on its own — no more weekly coordination across 5 tools.
落地页规则库越用越准。新品上线时直接套用胜出规律,第一版页面转化率就比之前的对照高 25%。 The page rule library gets sharper with every cycle. When we launch a new SKU we just plug in the winning patterns — the v1 page converts 25% better than the old control.
选一档 开始跑增长闭环 Pick a tier and start your growth loop
两个套餐覆盖从中小品牌到企业的不同规模;所有套餐都包含 30 天满意保障,未达到承诺指标可申请退款。 Two plans covering everything from SMB brands to enterprise. All plans include a 30-day satisfaction guarantee — if we miss the agreed metrics, request a refund.
适合多品牌矩阵、多账户运营的成长品牌与代理机构,包含定制闭环规则与专属支持。 For multi-brand portfolios and agencies running multiple accounts — includes custom loop rules and dedicated support.
- 不限店铺 + 多广告账户Unlimited stores + multi-account
- 全部 Agent 完整功能(含高级模板)Full Agent capabilities (including advanced templates)
- WakeAI 不限素材生成额度Unlimited WakeAI creative generation
- WakeScaling 自定义规则 + 多账户协同WakeScaling custom rules + multi-account orchestration
- 专属客户成功经理与季度策略复盘Dedicated CSM + quarterly strategy reviews
- SLA 99.9% · 7×24 优先支持99.9% SLA · 24/7 priority support
- 可选私有部署 / 数据驻留Optional private deployment / data residency
还有一些想问的问题? Got more questions?
没找到答案?直接给我们写信 hello@datawake.ai,工程师团队会回复你。 Can't find the answer? Email us at hello@datawake.ai — our engineering team replies directly.
我需要懂技术才能用 WakeQora 吗? Do I need to be technical to use WakeQora?
数据安全和隐私如何保障? How is data security and privacy handled?
支持哪些广告渠道? Which ad channels do you support?
现有素材、落地页和广告账户能复用吗? Can I reuse my existing assets, pages and ad accounts?
多久能看到效果? How long before I see results?
怎么开始合作? How do we get started?
把增长系统升级到
Agent 时代
Upgrade your growth stack to
the Agent era
从数据输入、素材创作、页面发布到广告放量,让每一次投放都反哺下一次增长。 From data input and creative production to page publishing and ad scaling — every campaign feeds the next round of growth.