sales-zoomd

Compare original and translation side by side

🇺🇸

Original

English

🇨🇳

Translation

Chinese

Zoomd Platform Help

Zoomd平台帮助

Help the user with Zoomd — the mobile app user acquisition and performance marketing platform combining programmatic advertising (DSP), creator-generated content, influencer marketing, and AI optimization (Albert.ai) across 600+ media sources in 70+ markets.

为用户提供Zoomd相关帮助——这是一款整合程序化广告（DSP）、创作者生成内容、网红营销和AI优化（Albert.ai）的移动应用用户获取与效果营销平台，覆盖70+市场的600+媒体渠道。

Step 1 — Gather context

步骤1 — 收集背景信息

references/learnings.md

exists, read it first for accumulated knowledge.

Ask the user:

What do you need help with?
- A) User acquisition — app install campaigns, CPI/CPA optimization
- B) Mobile DSP — programmatic buying, real-time bidding, exchange management
- C) Creator-generated content (CGC) — micro-creator video campaigns
- D) Albert.ai — AI-powered campaign optimization across channels
- E) Digital 360 — full-funnel performance marketing
- F) Comparing Zoomd with other mobile UA or DSP platforms
- G) Campaign reporting and attribution
- H) Something else — describe it
What's your app vertical?
- A) Gaming
- B) E-commerce / retail
- C) Fintech
- D) Entertainment / streaming
- E) Travel / food delivery
- F) Other — describe it
Where are you in the process?
- A) Evaluating mobile UA or DSP platforms
- B) Onboarding with Zoomd
- C) Already running campaigns — need to optimize
- D) Setting up Albert.ai for the first time
- E) Need help with reporting/metrics

If the user's prompt already provides most of this context, skip directly to the relevant step.

若

references/learnings.md

存在，请先阅读以获取累计知识。

询问用户：

您需要哪方面的帮助？
- A) 用户获取——应用安装广告系列、CPI/CPA优化
- B) 移动DSP——程序化采购、实时竞价、交易平台管理
- C) 创作者生成内容（CGC）——微型创作者视频广告系列
- D) Albert.ai——跨渠道AI驱动的广告系列优化
- E) Digital 360——全漏斗效果营销
- F) 对比Zoomd与其他移动UA或DSP平台
- G) 广告系列报告与归因
- H) 其他——请描述
您的应用所属垂直领域是？
- A) 游戏
- B) 电商/零售
- C) 金融科技
- D) 娱乐/流媒体
- E) 旅游/外卖
- F) 其他——请描述
您处于流程的哪个阶段？
- A) 评估移动UA或DSP平台
- B) 正在接入Zoomd
- C) 已在运行广告系列——需要优化
- D) 首次设置Albert.ai
- E) 需要报告/指标相关帮助

如果用户的提问已提供大部分此类背景信息，请直接跳至相关步骤。

Step 2 — Route or answer directly

步骤2 — 转介或直接解答

If the user's question maps to another skill, route them:

Web/display retargeting (not in-app) → "This is a web retargeting question — run:
```
/sales-retargeting {your question}
```
"
B2B account-based advertising → "This is a B2B ad question — run:
```
/sales-b2b-advertising {your question}
```
"
AdRoll display/social retargeting → "This is an AdRoll question — run:
```
/sales-adroll {your question}
```
"
Remerge in-app retargeting DSP → "This is a Remerge question — run:
```
/sales-remerge {your question}
```
"
Push notification re-engagement → "This is a push notification question — run:
```
/sales-push-notification {your question}
```
"
Influencer marketing strategy (not Zoomd-specific CGC) → "This is an influencer marketing question — run:
```
/sales-influencer-marketing {your question}
```
"

Otherwise, answer directly using the platform reference.

如果用户的问题属于其他技能范畴，请转介：

网页/展示重定向（非应用内）→ "这是网页重定向相关问题，请执行：
```
/sales-retargeting {您的问题}
```
"
B2B基于账户的广告 → "这是B2B广告相关问题，请执行：
```
/sales-b2b-advertising {您的问题}
```
"
AdRoll展示/社交重定向 → "这是AdRoll相关问题，请执行：
```
/sales-adroll {您的问题}
```
"
Remerge应用内重定向DSP → "这是Remerge相关问题，请执行：
```
/sales-remerge {您的问题}
```
"
推送通知再触达 → "这是推送通知相关问题，请执行：
```
/sales-push-notification {您的问题}
```
"
网红营销策略（非Zoomd专属CGC）→ "这是网红营销相关问题，请执行：
```
/sales-influencer-marketing {您的问题}
```
"

否则，请使用平台参考资料直接解答。

Step 3 — Zoomd platform reference

步骤3 — Zoomd平台参考资料

Read
references/platform-guide.md
for the full platform reference — modules, pricing model, Albert.ai, DSP details, CGC workflow, integrations, and MMP setup.

Answer the user's question using only the relevant section. Don't dump the full reference.

**阅读

references/platform-guide.md

**获取完整平台参考——模块、定价模式、Albert.ai、DSP详情、CGC工作流、集成以及MMP设置。

仅使用相关部分解答用户问题，不要直接输出完整参考内容。

Step 4 — Actionable guidance

步骤4 — 可落地指导

You no longer need the platform guide — focus on the user's specific situation.

您无需再依赖平台指南——专注于用户的具体场景。

Evaluating Zoomd

评估Zoomd

Define goals — target CPI, ROAS threshold, geographic markets, vertical
Compare self-serve vs managed — Zoomd offers both; self-serve DSP gives control, managed service adds Zoomd's optimization layer
Request a pilot — 30-60 day test with clear KPIs across 2-3 channels
Verify MMP integration — confirm AppsFlyer/Adjust/Branch postbacks before launch
Evaluate Albert.ai fit — best for multi-channel campaigns where budget allocation is complex

明确目标——目标CPI、ROAS阈值、目标地域市场、垂直领域
对比自助式与托管式服务——Zoomd同时提供两种服务；自助式DSP提供更多控制权，托管式服务则添加Zoomd的优化层
申请试点——30-60天的测试，针对2-3个渠道设定明确的KPI
验证MMP集成——在启动前确认AppsFlyer/Adjust/Branch的回传设置
评估Albert.ai适配性——最适合预算分配复杂的多渠道广告系列

Optimizing running campaigns

优化正在运行的广告系列

Check creative performance — Zoomd's CGC can provide fresh creatives; test against existing assets
Review channel mix — use the unified dashboard to shift budget to highest-ROAS channels
Leverage Albert.ai — let AI handle cross-channel budget allocation; intervene only on strategy
Monitor fraud signals — Zoomd's vetted exchange safelist reduces but doesn't eliminate fraud; cross-check MMP fraud reports

If you discover a gotcha, workaround, or tip not covered in

references/learnings.md

, append it there.

检查创意表现——Zoomd的CGC可提供新鲜创意；与现有素材进行测试对比
审核渠道组合——使用统一仪表盘将预算转移至ROAS最高的渠道
利用Albert.ai——让AI处理跨渠道预算分配；仅在策略层面进行干预
监测欺诈信号——Zoomd的经过审核的交易平台白名单可减少但无法消除欺诈；交叉核对MMP的欺诈报告

如果您发现

references/learnings.md

中未涵盖的陷阱、解决方案或技巧，请将其添加到该文档中。

Gotchas

注意事项

Best-effort from research — review these, especially items about pricing and service model that may be outdated.

No public API — unlike self-serve DSPs (Remerge, Liftoff), Zoomd doesn't expose a public API. Reporting and optimization go through their dashboard and account team.
Pricing is opaque — performance-based (CPM/CPC/CPI/CPO/CPE) but full cost structure isn't transparent. Ask for detailed breakdowns alongside performance metrics.
Albert.ai is a separate product — acquired in 2022. It optimizes across Google, Meta, TikTok, YouTube, DV360, Bing — but it's focused on paid social/search, not the DSP inventory.
MMP integration is critical — without proper AppsFlyer/Adjust/Branch/Kochava setup, attribution will be unreliable. Verify postback configuration before campaign launch.
iOS SKAN limitations — only 20-35% of iOS users opt in to tracking. This limits iOS targeting precision for any mobile UA platform, not just Zoomd.

Self-improving: If you discover something not covered here, append it to
```
references/learnings.md
```
with today's date.

基于研究的最佳实践——请仔细查看，尤其是关于定价和服务模式的内容可能已过时。

无公开API——与自助式DSP（如Remerge、Liftoff）不同，Zoomd未提供公开API。报告和优化需通过其仪表盘和客户团队进行。
定价不透明——基于效果定价（CPM/CPC/CPI/CPO/CPE）但完整成本结构不透明。请要求提供详细的成本细分以及绩效指标。
Albert.ai是独立产品——于2022年被收购。它可优化Google、Meta、TikTok、YouTube、DV360、Bing等渠道的广告，但专注于付费社交/搜索，而非DSP库存。
MMP集成至关重要——若未正确设置AppsFlyer/Adjust/Branch/Kochava，归因结果将不可靠。在广告系列启动前验证回传配置。
iOS SKAN限制——仅20-35%的iOS用户选择启用追踪。这会限制所有移动UA平台的iOS定位精度，而非仅Zoomd。

自我完善：如果您发现此处未涵盖的内容，请在
```
references/learnings.md
```
中添加并标注日期。

Related skills

Examples

示例

Example 1: Evaluating Zoomd for a gaming app launch

示例1：为游戏应用上线评估Zoomd

User says: "I'm launching a mobile game and need to scale installs fast across multiple channels. Should I use Zoomd?" Skill does: Explains Zoomd's multi-channel UA across 600+ sources via unified dashboard. Compares with single-channel alternatives (running Meta + Google separately). Recommends requesting a pilot with clear CPI targets and gaming-vertical benchmarks. Result: User has a decision framework for Zoomd vs managing UA channels independently.

用户提问："我即将推出一款移动游戏，需要快速通过多渠道扩大安装量。我应该使用Zoomd吗？" 技能操作：说明Zoomd通过统一仪表盘覆盖600+渠道的多渠道UA能力。与单渠道方案（单独运行Meta + Google）进行对比。建议申请带有明确CPI目标和游戏垂直领域基准的试点。结果：用户获得了Zoomd与独立管理UA渠道的决策框架。

Example 2: Albert.ai not hitting ROAS targets

示例2：Albert.ai未达到ROAS目标

User says: "I set up Albert.ai for our e-commerce app campaigns but ROAS is below target after two weeks. What should I check?" Skill does: Explains Albert.ai's learning period, checks if sufficient event data is flowing, reviews channel allocation, and suggests adjusting optimization goals. Recommends letting Albert run for 30+ days before manual intervention. Result: User understands Albert.ai's optimization cycle and what to monitor.

用户提问："我为我们的电商应用广告系列设置了Albert.ai，但两周后ROAS仍低于目标。我应该检查哪些方面？" 技能操作：说明Albert.ai的学习周期，检查是否有足够的事件数据流转，审核渠道分配情况，并建议调整优化目标。建议让Albert运行30天以上再进行人工干预。结果：用户了解了Albert.ai的优化周期以及需要监测的内容。

Example 3: Comparing Zoomd DSP with alternatives

示例3：对比Zoomd DSP与竞品

User says: "We're choosing between Zoomd, Remerge, and Liftoff for our fintech app. How do they compare?" Skill does: Compares based on UA vs retargeting focus (Zoomd: full UA + DSP + CGC, Remerge: retargeting-only DSP, Liftoff: UA + retargeting DSP). Notes Zoomd's managed + self-serve options, Albert.ai AI layer, and CGC content production as differentiators. Result: User has a comparison with trade-offs for their fintech vertical.

用户提问："我们正在为金融科技应用选择Zoomd、Remerge和Liftoff。它们之间有什么区别？" 技能操作：基于UA与重定向的侧重点进行对比（Zoomd：全UA + DSP + CGC；Remerge：仅重定向DSP；Liftoff：UA + 重定向DSP）。指出Zoomd的托管+自助式选项、Albert.ai AI层以及CGC内容制作是其差异化优势。结果：用户获得了针对金融科技垂直领域的竞品对比及取舍分析。

Troubleshooting

故障排查

CPI is higher than expected across channels

各渠道CPI高于预期

Symptom: App install costs are above target despite multi-channel optimization Cause: Creative fatigue, broad targeting, wrong geo mix, or competitive vertical timing Solution: Request CGC content refresh for new creatives. Use the unified dashboard to identify which channels/geos are underperforming. Shift budget toward lower-CPI markets (LATAM, SEA) if quality allows. Compare against industry benchmarks.

症状：尽管进行了多渠道优化，应用安装成本仍高于目标原因：创意疲劳、宽泛的定位、错误的地域组合或垂直领域竞争时机问题 解决方案：申请CGC内容更新以获取新创意。使用统一仪表盘识别表现不佳的渠道/地域。如果质量允许，将预算转移至CPI较低的市场（拉美、东南亚）。与行业基准进行对比。

Attribution discrepancies between Zoomd and MMP

Zoomd与MMP之间的归因差异

Symptom: Zoomd dashboard numbers don't match AppsFlyer/Adjust data Cause: MMP postback misconfiguration, attribution window mismatch, or multi-touch attribution differences Solution: Verify MMP integration is active with correct postback events. Align attribution windows. Use MMP as single source of truth across all ad partners.

症状：Zoomd仪表盘数据与AppsFlyer/Adjust数据不匹配原因：MMP回传配置错误、归因窗口不匹配或多触点归因差异 解决方案：验证MMP集成是否激活且回传事件正确。统一归因窗口。将MMP作为所有广告合作伙伴的唯一数据来源。

Albert.ai budget allocation seems wrong

Albert.ai预算分配似乎不合理

Symptom: Albert.ai is allocating budget heavily to one channel while ignoring others Cause: Insufficient event data on underperforming channels, or the AI correctly identified one channel as highest-ROAS Solution: Check if all channels have sufficient conversion events for Albert to learn (typically 50+ events per week). Review if the optimization goal matches your intent (ROAS vs volume). Give Albert 30+ days before overriding its allocations.

症状：Albert.ai将大量预算分配至单一渠道，而忽略其他渠道原因：表现不佳的渠道缺乏足够的事件数据，或是AI正确识别出某一渠道的ROAS最高 解决方案：检查所有渠道是否有足够的转化事件供Albert学习（通常每周50+事件）。审核优化目标是否符合您的意图（ROAS vs 量级）。在覆盖AI分配前，让Albert运行30天以上。