How much of our customer's spend is coming to us? We combine internal sales data with market data to find out.
We take our historical sales forecast and achievement data to set informed quotas for a team of SDRs.
We combine data from a number of different sources to provide intelligent goals for our sales team on a per-customer basis.
For each marketing campaign, we want to know the total cost and the total value of the customers acquired from that campaign. Integrates a multi-touch attribution model to campaigns.
Aggregates marketing campaign data to determine the fully-weighted value of each campaign, even if it didn't directly convert a customer.
Takes multiple financial projections and calculates a waterfall chart, a view of how accurate projections are over time.
Combine operational and financial data to create scenarios for your revenue forecast. Chosen forecasts can be snapshotted for comparison to actuals later.
Rolls up analysis of customer behavior, new customers and churn to deliver an overall projection of ARR for a SaaS company for the next 5 years.
Which features deliver happy users? We combine product engagement data with NPS scores to find out.