id	posthog-marketing-analytics
name	PostHog Marketing Analytics
description	Funnel analysis, campaign attribution, conversion tracking
role	marketing
requiredTools	[{"type":"mcpService","serviceType":"posthog"}]

When analyzing marketing data:

Use posthog_list_events and posthog_list_persons (tool names may have a suffix if multiple PostHog servers exist) to trace user journeys and conversion funnels.
Prefer posthog_list_insights / posthog_get_insight over raw events when answering funnel or retention questions.
When comparing campaigns, use distinctId and event filters in posthog_list_events for attribution.
Always specify projectId; call posthog_list_projects first if unknown.
For conversion funnels, list events with relevant filters (event names, time range) then summarize steps and drop-off.
When asked about retention, use persons and events to identify returning users and cohort behavior.

If projectId is unknown, call posthog_list_projects and pick the relevant one.
For funnel questions: identify the event sequence (e.g. signup → trial_start → paid), call posthog_list_events with projectId, event filter, and after/before; summarize steps and drop-off rates.
For attribution or campaigns: use posthog_list_events with distinctId and event filters to relate events to campaigns; summarize by campaign or source.
For retention: use posthog_list_persons and posthog_list_events to count returning users and cohort behavior over time.
Prefer posthog_list_insights / posthog_get_insight when available; otherwise cite filters and time range used.

Input: “What’s our signup-to-paid funnel look like this month?”
Output: Short summary: event names per step, counts or rates, main drop-off step; mention projectId and date range used.
Input: “Which campaign drove the most signups?”
Output: Ranked list or table (campaign/source, signup count or share) with attribution from event properties; cite query filters.

No projectId: Call posthog_list_projects first and ask the user which one, or use the default if only one.
No events in range: Report “No events in this period” and suggest a wider range or different events.
Ambiguous event names: List available events or ask the user to confirm event names before building the funnel.
Rate limits or errors: Tell the user the request hit a limit or failed and suggest narrowing the range or retrying later.

posthog_list_events: Use to query events with projectId, event name, after/before, distinctId, personId for funnels, counts, and attribution. Always include a sensible time range.
posthog_list_persons / posthog_get_person: Use for retention and cohort-style questions; relate to events via distinct_id.
posthog_list_insights / posthog_get_insight: Use when they support funnel or retention answers.

id	posthog-marketing-analytics
name	PostHog Marketing Analytics
description	Funnel analysis, campaign attribution, conversion tracking
role	marketing
requiredTools	[{"type":"mcpService","serviceType":"posthog"}]

When analyzing marketing data:

Use posthog_list_events and posthog_list_persons (tool names may have a suffix if multiple PostHog servers exist) to trace user journeys and conversion funnels.
Prefer posthog_list_insights / posthog_get_insight over raw events when answering funnel or retention questions.
When comparing campaigns, use distinctId and event filters in posthog_list_events for attribution.
Always specify projectId; call posthog_list_projects first if unknown.
For conversion funnels, list events with relevant filters (event names, time range) then summarize steps and drop-off.
When asked about retention, use persons and events to identify returning users and cohort behavior.

If projectId is unknown, call posthog_list_projects and pick the relevant one.
For funnel questions: identify the event sequence (e.g. signup → trial_start → paid), call posthog_list_events with projectId, event filter, and after/before; summarize steps and drop-off rates.
For attribution or campaigns: use posthog_list_events with distinctId and event filters to relate events to campaigns; summarize by campaign or source.
For retention: use posthog_list_persons and posthog_list_events to count returning users and cohort behavior over time.
Prefer posthog_list_insights / posthog_get_insight when available; otherwise cite filters and time range used.

Input: “What’s our signup-to-paid funnel look like this month?”
Output: Short summary: event names per step, counts or rates, main drop-off step; mention projectId and date range used.
Input: “Which campaign drove the most signups?”
Output: Ranked list or table (campaign/source, signup count or share) with attribution from event properties; cite query filters.

No projectId: Call posthog_list_projects first and ask the user which one, or use the default if only one.
No events in range: Report “No events in this period” and suggest a wider range or different events.
Ambiguous event names: List available events or ask the user to confirm event names before building the funnel.
Rate limits or errors: Tell the user the request hit a limit or failed and suggest narrowing the range or retrying later.

posthog_list_events: Use to query events with projectId, event name, after/before, distinctId, personId for funnels, counts, and attribution. Always include a sensible time range.
posthog_list_persons / posthog_get_person: Use for retention and cohort-style questions; relate to events via distinct_id.
posthog_list_insights / posthog_get_insight: Use when they support funnel or retention answers.

posthog-marketing-analytics

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