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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.”
Sparse data in HubSpot creates reports full of gaps that make analysis difficult. Event registrations, high-ticket sales, and specialized campaigns show long stretches of empty space between actual data points, making it hard to identify patterns or present clean visualizations.
You can compress sparse data to show only meaningful activity periods and create visualizations that highlight actual patterns without empty space noise.
Handle sparse data with compression techniques using Coefficient
Coefficient excels at handling sparse HubSpot data by providing complete control over aggregation and visualization in HubSpot spreadsheets. Compress gaps, create event-based groupings, and build meaningful charts that focus on actual activity.
How to make it work
Step 1. Import data and compress to activity-only periods.
Use Coefficient to pull your sparse HubSpot data, then apply compression withto show only dates with activity. This eliminates empty periods and creates a dataset focused on actual events or transactions.
Step 2. Create event-based aggregation instead of time-based grouping.
Number events sequentially usingto create event-based analysis rather than calendar-based reporting. Group by “batches” of 10 events or aggregate until reaching threshold values for milestone-based reporting.
Step 3. Build visualizations that highlight patterns, not time.
Create scatter plots showing only actual data points with trend lines, build custom timelines that compress empty periods, and use milestone charts focusing on achievements rather than calendar dates. Waterfall charts work well for showing cumulative progress in sparse data scenarios.
Step 4. Set up automated sparse data handling.
Configure Coefficient to automatically handle new sparse data during refresh, use snapshots to capture only periods with activity, and create alerts that trigger on new data appearances rather than time-based schedules. This ensures your compressed visualizations stay current.
Focus on meaningful patterns in your sparse data
Clean visualizations that highlight actual activity patterns enable better insights and decision-making for enterprise deals, seasonal campaigns, and event-driven marketing. Start compressing your sparse data for clearer analysis today.
