Dashboards that support real decisions,
not vanity metrics nobody reads.
Dashboards that support real decisions — not vanity metrics and pipeline snapshots nobody reads.
Most companies have reporting. Few have reporting that actually changes decisions. The gap is almost always the same: metrics chosen for comfort rather than insight, a forecast that's a gut call on Friday afternoon, and dashboards that take two days of spreadsheet work to assemble before a board meeting. Good revenue analytics starts with clean data, clear questions, and a direct line between the number and the decision it should inform.
What's included
- Pipeline analytics: stage velocity, conversion rates, deal quality scoring
- Revenue attribution across channels, campaigns, and sourcing motions
- Forecast modeling with variance tracking and rep-level visibility
- Exec-ready dashboards in Salesforce, HubSpot, or your BI tool of choice
Good fit if...
Frequently asked.
What tools do you build dashboards in?
Primarily Salesforce reports and dashboards, HubSpot analytics, and BI tools like Looker, Metabase, or Google Looker Studio. The right tool depends on where your data lives and how your team works. We recommend based on your stack, not our preferences.
Our data is messy — do we need to clean it up first?
In most cases, data cleanup and reporting are done together as part of the same engagement. We identify the data issues that affect the specific metrics you need, fix those, and build the reporting on the clean foundation.
Can you build a forecast model we can maintain ourselves?
Yes. Every forecast model is built with documentation and a training session. The goal is something your team can run independently — not something that requires a consultant every quarter.
Often paired with this.
Ready to talk specifics?
Book a free 30-minute call. No pitch, no proposal — just an honest conversation about whether this is the right fit for your situation.
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