Chartcastr Research
Aggregate-data research team
The Chartcastr team analyzing anonymized usage across thousands of pulses to publish first-hand benchmarks.
Chartcastr Research analyzes anonymized aggregate data from pulses delivered across customer accounts. Reports cite sample size, methodology, and confidence intervals — no extrapolation beyond what the data supports.
Writes about
- analytics benchmarks
- reporting cadence
- cross-tool correlation
- data engineering
- BI metrics
Elsewhere
Posts by Chartcastr Research
The 14 Shopify reports that drive Slack reactions (and 6 that get ignored)
Not every Shopify metric belongs in Slack. From hundreds of e-commerce workspaces pulsing Shopify data, fourteen reports consistently get reactions; six don't. A practical reading list before you wire up your next pulse.
Cron for analysts: how five cadences (hourly, daily, weekly, monthly, on-anomaly) actually perform
How often should a metric be pulsed? Data from thousands of scheduled Slack deliveries: when each cadence wins, when it fails, and the most underused option of the five.
The Integration Adoption Report: what 1,000+ teams connect first to their analytics stack (2026)
Google Sheets dominates the small-team funnel; BigQuery overtakes it above 50 employees; HubSpot is the most consistent second connection across every size bucket. First-hand data from 3,100+ Chartcastr workspaces.
When teams actually read scheduled Slack data deliveries (an analysis of 10,000+ pulses)
A push at 08:00 local gets read twice as often as the same push at noon. Tuesday outperforms every other weekday. Adding a one-line AI summary lifts engagement by 11 points. The data behind the timing question.
