Marketing analytics

Important: This feature is currently an opt-in beta. You can enable it on the feature previews settings page. Please leave a comment on this page if you have feedback or questions, or leave feedback via the in-app support modal.

Marketing analytics enables you to track marketing campaigns, costs, and performance from multiple advertising platforms in your marketing analytics dashboard.

Marketing dashboard

The marketing dashboard contains multiple pre-built insights that help you understand your campaigns and costs.

Marketing costs over time

The marketing costs chart displays your total advertising spend across all configured data sources:

• Stacked area visualization shows the contribution of each platform to your total marketing spend
• Time-based trends help identify spending patterns and budget allocation over the selected date range
• Date range filtering allows you to analyze costs for specific periods using the date picker
• Real-time updates reflect new cost data as it syncs from your configured marketing sources (based on your source sync configuration)
• Currency conversion automatically converts all costs to your configured base currency for consistent reporting

Campaign breakdown

The campaign breakdown table provides detailed performance metrics by individual campaign:

• Campaign: Campaign identifier from your advertising platform (must match the utm_campaign value in your conversion events)
• Source: Ad platform name (e.g., google, must match the utm_source value in your conversion events)
• Total cost: Total spend for the campaign in your base currency
• Total clicks: Number of clicks received during the selected period
• Total impressions: Number of impressions served
• Cost per click: Average cost per click (total cost ÷ total clicks)
• CTR: Clickthrough rate percentage (total clicks ÷ total impressions × 100)
• Conversion goals: Performance against your defined conversion goals
• Cost per conversion: Cost efficiency for conversions (total cost ÷ conversions)

Settings and configuration

Data source configuration

PostHog supports three types of data sources for marketing analytics. All sources are configured through a unified interface that shows the connection status, required table syncing, and column mapping for each source type.

Native sources

PostHog can automatically sync marketing data from supported advertising platforms. You'll need to sync the required tables for each source to enable the functionality.

Supported native sources:

Each native source automatically handles data formatting and provides the required campaign and performance data. The configuration interface shows which tables are syncing and which still need to be enabled.

Data warehouse sources

You can optionally connect external data warehouse sources (currently BigQuery) to display marketing analytics. You'll need to map the required columns for each table to enable the functionality.

Required field mappings:

• Campaign: Campaign identifier or name (mapped to utm_campaign query param)
• Cost: Cost amount for the period
• Date: Date of the data record
• Source: Platform name (mapped to utm_source query param)

Optional field mappings:

• Clicks: Number of clicks received
• Currency: Currency code for cost values
• Impressions: Number of impressions served

Self-managed sources

You can configure self-managed sources from S3, GCS, Cloudflare R2, and Azure. Like data warehouse sources, you'll need to map the required columns for each table to enable the functionality.

Note: We strongly recommend using JSON format for better support and troubleshooting. You simply need to create a connection between PostHog and your marketing source, map the desired fields, and PostHog will use the marketing data directly from that source.

Please refer to the data pipeline docs for more information on configuring external data sources.

Conversion goals

Define conversion goals by selecting events, actions, or data warehouse tables. These goals are used to track and analyze user conversions in your marketing analytics.

To configure conversion goals, select:

For data warehouse table conversion goals, you'll need to map the following required fields:

Base currency

PostHog converts currency values for the entire team to the base currency you set in your project settings before displaying them. If we can't properly detect your currency from the source data, we'll assume it's in the base currency as well.