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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
HubSpot’s content analytics and attribution reporting operate in silos, making it difficult to automatically identify which content pieces drive the most conversions within specific campaigns. Manual analysis is typically required to connect content performance to campaign outcomes.
Here’s how to automate the entire content-to-conversion reporting process with intelligent data connections and scheduled workflows.
Automate content conversion reporting using Coefficient
The solution involves creating automated data collection pipelines that connect content performance to conversion outcomes. Coefficient automates this entire reporting process through intelligent data connections that HubSpot can’t handle natively.
How to make it work
Step 1. Set up automated data collection pipeline.
Schedule hourly imports of content analytics including page views, unique visitors, and average time on page. Pull form submission data with source URL tracking from HubSpot . Import deal data with campaign associations for revenue attribution.
Step 2. Create content popularity scoring algorithm.
Build a popularity score using this formula: (Page Views × 0.3) + (Unique Visitors × 0.3) + (Avg Time on Page × 0.2) + (Form Fills × 0.2). Calculate conversion value using: Form Fills × Average Deal Size × Close Rate. This creates comparable metrics across all content pieces.
Step 3. Build campaign attribution linkage.
Use the hubspot_search formula to match content URLs to campaign tracking codes. Create attribution table linking: Content piece → Form fill → Contact → Deal → Campaign. Build time-based attribution windows (like 30-day lookback) for accurate conversion tracking.
Step 4. Configure automated reporting workflows.
Set up daily scheduled imports at 6 AM for previous day’s data from HubSpot . Configure weekly summary emails highlighting top 10 converting content pieces. Create Slack alerts for content exceeding conversion benchmarks or showing unusual performance patterns.
Step 5. Build dynamic report generation.
Auto-generate weekly reports showing top content by conversions per campaign, content ROI rankings (Revenue generated / Content cost), trending content performance week-over-week, and underperforming content requiring optimization.
Step 6. Set up advanced automation features.
Use Formula Auto Fill Down for new content pieces added to campaigns. Create conditional formatting for performance thresholds. Set up anomaly detection alerts for sudden performance changes. Build content recommendation engine based on historical performance data.
Unlock automated content insights
Automated content conversion reporting eliminates manual analysis while providing continuous insights into what content actually drives results. This system reveals content performance patterns that manual reporting simply can’t capture consistently. Start automating your content reporting today.
