Mevo Data Platform: Analysis-Ready Datasets

<br/>Enterprises struggle to unify media and conversion data scattered across agencies, channels, and geographies. Without a consistent backbone, analytics teams spend more time cleaning data than generating insights. Data is siloed, attribution is incomplete, and journey-level views are fragmented.

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**Mevo Delivers Analysis-Ready Marketing Data**

Mevo Data Platform delivers analysis-ready datasets directly into Snowflake that provide both normalized media data and attributed journey data. These outputs are structured, standardized, and enriched to be query-ready without manual ETL.<br/>

**Normalized Media Datastream:**

- **By Channel:** Paid (programmatic, search, social), Earned (PR, influencer, organic social), Owned (email, site analytics, CRM logs).
- **By Geography:** Market, region, DMA/postcode, with harmonized currency/time standards.
- **By Campaign/Creative:** Campaign metadata, message/creative variants, agency source.
- **By Time:** Daily, weekly, monthly aggregation; rolling time-series with lookback windows.
- **By Spend Type:** Gross spend, net spend, CPM, CPC, CPA normalized across platforms.
- **By Agency/Source:** Cross-agency harmonization with metadata tagging.

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<br/>**Attributed Journey Datastream:**

- **Exposure & Conversion Data Integration:** Harmonized cross-channel data—including paid, earned, and owned impressions—and conversion events across online and offline touchpoints.
- **Privacy-Resilient Journey Reconstruction:** Uses Data Augmentation AI to recover missing paths and build complete customer journeys, even without identity-based tracking.
- **Input-Ready Attribution Stream:** Clean data stream with built–in incrementality assessment to power advanced attribution models (e.g. MTA)
- **Flexible data slicing:** by channel/platform, geography, campaign, creative, audience segment, KPI, or time horizon.<br/>

**Unlock your free trial and see results for yourself — here’s how to get started:**

1. *Request Access:* Click “Request” on this listing to let us know you’d like a free trial.
2. *Discovery Session:* We’ll schedule a short session with your team to understand your needs and confirm the right setup.
3. *Connector Authorization:* Once your team authorizes the relevant media platform connectors, the data is securely ingested into the platform.
4. *Data Preparation & Dashboard Delivery:* We clean and curate the data, then provide your trial dashboard in-app so you can begin exploring results right away.

原始信息汇总

Mevo Data Platform: Analysis-Ready Datasets

数据集概述

Mevo Data Platform提供分析就绪的市场营销数据集，直接导入Snowflake平台，包含标准化媒体数据和归因旅程数据。这些数据集经过结构化、标准化和丰富处理，无需手动ETL即可直接查询。

数据流类型

标准化媒体数据流

• 按渠道分类：付费渠道（程序化广告、搜索、社交）、赢得渠道（公关、影响者、有机社交）、自有渠道（邮件、网站分析、CRM日志）
• 按地理分类：市场、区域、DMA/邮政编码，具有统一的货币/时间标准
• 按活动/创意分类：活动元数据、消息/创意变体、代理来源
• 按时间分类：每日、每周、每月聚合；具有回溯窗口的滚动时间序列
• 按支出类型分类：总支出、净支出、CPM、CPC、CPA，跨平台标准化
• 按代理/来源分类：跨代理协调与元数据标记

归因旅程数据流

• 曝光与转化数据集成：统一的跨渠道数据，包括付费、赢得和自有展示，以及线上线下接触点的转化事件
• 隐私弹性旅程重建：使用数据增强AI恢复缺失路径，构建完整的客户旅程，无需基于身份的跟踪
• 输入就绪归因流：具有内置增量评估的清洁数据流，支持高级归因模型（如MTA）
• 灵活数据切片：按渠道/平台、地理位置、活动、创意、受众细分、KPI或时间范围进行切片

业务需求

数据质量与清洗

• 通过标准化活动命名、层次结构、时区和归因窗口创建通用数据语言和单一事实来源
• 跨平台协调指标
• 使用AI增强技术填补数据空白

360度客户视图

• 将付费、赢得和自有数据整合到统一层
• 无需基于身份的跟踪即可重建客户旅程，提供隐私弹性、全漏斗视图

归因分析

• 提供接触点级别的数据流，具有内置增量测量功能
• 支持转化路径、MTA和MMM分析
• 输出可馈送到BI工具或下游应用程序

受众激活

• 帮助找到最有价值的受众
• 通过Snowflake或反向ETL安全、隐私安全地导出到激活工具

使用示例

按点击成本计算最高效的活动

sql SELECT campaign_name, platform_name, SUM(cost) AS total_spend, SUM(clicks) AS total_clicks, SUM(cost) / NULLIF(SUM(clicks), 0) AS cpc FROM normalized_agg GROUP BY campaign_name, platform_name ORDER BY cpc ASC LIMIT 20;

识别驱动最高点击率的策略或展示位置

sql SELECT tactic_name, placement_name, SUM(clicks) AS total_clicks, SUM(impressions) AS total_impressions, SUM(clicks) / NULLIF(SUM(impressions), 0) AS ctr FROM normalized_agg WHERE tactic_name IS NOT NULL AND placement_name IS NOT NULL GROUP BY tactic_name, placement_name ORDER BY ctr DESC LIMIT 20;

按平台分析转化贡献比例

sql SELECT platform_name, SUM(conversions), 100 * SUM(conversions) / SUM(SUM(conversions)) OVER () AS pct_of_total_conversions FROM normalized_agg GROUP BY platform_name ORDER BY pct_of_total_conversions DESC;

跨品牌随时间变化的支出效率分析

sql SELECT brand AS product_line, DATE_TRUNC(week, event_date) AS week_start, SUM(cost) AS weekly_spend, SUM(units) AS weekly_conversions, SUM(cost) / NULLIF(SUM(units), 0) AS cpa FROM normalized_agg WHERE brand IS NOT NULL GROUP BY brand, week_start ORDER BY brand, week_start;

技术规格

数据更新频率

近实时

时间覆盖范围

最近6个月 基于事件

地理覆盖范围

全球 按邮政编码

云区域可用性

AWS非洲（开普敦）、亚太（雅加达）、亚太（孟买）、亚太（大阪）等46个地区

分类标签

• 360度客户视图
• 分析工具
• 归因分析
• 受众激活
• 数据质量与清洗
• 市场营销
• 媒体

法律条款

标准条款

关于提供商

Marketing Evolution (Mevo)是现代营销的AI操作系统，基于AWS和Snowflake构建，将碎片化的营销数据统一为清洁、分析和AI就绪的基础，支持仪表板、商业智能工具和AI代理的大规模使用。