domain-marketing
Marketing domain knowledge: attribution models, engagement funnel order.
适合你，如果你需要掌握营销归因和漏斗分析知识。
npx oh-my-skill add signalpilot-labs/signalpilot/domain-marketingcurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- signalpilot-labs/signalpilot/domain-marketingnpx oh-my-skill verify signalpilot-labs/signalpilot/domain-marketing怎么用
商店整理自技能原文 · 版本 436a4c4 · 表述以原文为准处理营销数据时，会按驱动表规则从事件表聚合，正确应用首次/末次/线性/40-20-40归因模型，遵循发送→送达→打开→点击→退信顺序，并根据数据源数量处理花费字段的正负号。
当询问营销数据、归因分析、互动漏斗或花费计算时触发。
技能原文 SKILL.md
Marketing Domain Knowledge
Driving Table
When aggregating engagement or spend metrics, drive FROM the event/activity table (messages, clicks, impressions), not the dimension table (contacts, accounts, campaigns). Contacts with zero engagements MUST NOT appear in engagement reports - they have no data to aggregate.
Exception - reports that JOIN two aggregations by a shared dimension: When a report groups metrics from multiple sources BY the same dimension (e.g., cost-per-acquisition by channel), the source with the MOST distinct values of that dimension defines the output population - INNER JOIN would silently drop dimension values that exist in one source but not the other. LEFT JOIN the smaller source onto the larger one. Dimension values without matching data in the smaller source get NULL metrics.
Attribution Models
Attribution models split conversion credit across touchpoints. Implement the model the task or YML description specifies:
- First-touch: 100% credit to the first touchpoint
- Last-touch: 100% credit to the last touchpoint
- Linear: equal share (1 / count of touches per conversion)
- 40-20-40: 40% first, 40% last, 20% split equally among middle touches
When a conversion has only one touchpoint, first-touch and last-touch are the same row - do NOT double-count credit.
Engagement Funnel Order
Standard funnel: sent → delivered → opened → clicked → bounced. Each stage is a COUNT of events, not COUNT DISTINCT of recipients.
Do NOT deduplicate across funnel stages - one email opened 3 times is 3 open events.
Spend and Cost Sign Convention
Many API connectors (messaging, ads, telephony) store costs as negative values (representing money leaving the account). Before writing SUM(price) into a metric column, query SELECT MIN(price), MAX(price) on EACH source table that contributes monetary values.
Single-source model: If the model reads monetary values from ONE source only, preserve that source's sign convention. Do NOT apply ABS() - the raw sign is the source of truth.
Multi-source model: If the model JOINs multiple tables that contain monetary columns, check the sign of EACH monetary source with SELECT MIN(price), MAX(price). If any two sources use different sign conventions, normalize ALL monetary columns in the model to positive with ABS() - including columns that come from a single CTE. Mixing positive and negative conventions within one model produces misleading totals and breaks comparisons between columns.