Marcus Johnson

Our marketing team spends 20+ hours monthly manually calculating attribution across channels. We need automated multi-touch attribution to understand true ROAS for our $5M annual ad spend.

Attribution is table stakes for our evaluation. We won't move forward without at least linear and time-decay models.

We monitor live TV broadcasts and need dashboards that update within seconds, not minutes. Current 5-minute refresh is too slow for our newsroom.

Real-time would be cool for our status page metrics but not a priority.

Our IT policy mandates SSO through our on-prem ADFS. Custom IdP support was a must-have.

Our data warehouse is our central data hub. Would simplify our architecture significantly.

Cohort retention is the most important metric in gaming. We need to track D1, D7, D30 retention by acquisition source.

Would be interesting to see subscriber retention by content type.

Weekly ops reports to stakeholders are now automated. Big time saver.

Non-technical merchandisers need to query data without SQL. Natural language would democratize analytics across our 500-person team.

Would help our support team quickly look up customer metrics without bothering data team.

Merchandisers want to create custom margin calculations without involving data team.

Need to detect anomalies in patient wait times and alert operations immediately.

Store managers should only see their store's data. Currently we create separate dashboards which is cumbersome.

dbt is becoming our transformation layer. Integration would complete our modern data stack.

Our sales team is always on the road. Mobile dashboards would help them access data in the field.

Our sales team lives in the CRM. Having analytics data flow back is huge. Thanks for shipping!

Our analysts aren't SQL experts. AI guidance on query optimization would level up our team.

We want to show players their own game stats in-app. Embedded analytics is key for engagement.

Potentially useful for providing suppliers with quality metrics, but not a priority right now.

Cohort retention analysisOpen

Built-in cohort analysis for tracking user retention over time. Should support custom cohort definitions, flexible time windows, and comparison between cohorts.

Anomaly detection alertsOpen

Automatic detection of anomalies in key metrics with configurable alerting. Should support Slack, email, and webhook notifications when anomalies are detected.

CRM integrationShipped

Bi-directional sync with CRM systems. Import CRM objects and export analytics insights back to CRM for sales team consumption.

Real-time streaming dashboard updatesOpen

Enable dashboards to update in real-time as new data streams in, without requiring manual refresh. Critical for monitoring live campaigns and operational metrics.