Reporting
Turn pipeline movement into a weekly revenue forecast.
Setup
from $799
Subscription
from $199/mo
Deploy time
5-7 days
Forecasts are wrong because they're built manually on stale data. Sales managers pull numbers on Friday afternoon, managers adjust by gut feel, and leadership makes resource decisions based on a number nobody actually trusts. Stalled deals inflate the forecast silently for weeks.
Every week, the system reads your CRM pipeline: all open deals with stage, expected close, last activity, and deal value. It identifies stale deals (no activity in 10+ days at late stage), calculates a weighted forecast based on stage-close probability rules, produces a best-case / expected / downside revenue band, flags the top 5 deals at risk of missing close date, and delivers a structured forecast summary to the sales leader and leadership channel. Changes from last week are highlighted.
B2B sales teams, agencies, SaaS companies, consulting teams
Setup scope
CRM pipeline field mapping, stage probability configuration, stale deal threshold rules, forecast band calculation logic, weekly summary format and delivery, and QA with 3 full pipeline test runs.
Monthly support
Forecast accuracy tracking, stage probability tuning as win rates change, stale deal threshold review, and report format updates as business needs shift.
Payback signal
4-8 saved operator hours
Typical break-even target for a first deployment conversation.
This system is designed to pay back when it reduces manual reporting time enough to protect about $597 in monthly value.
Monthly value target
$597
Primary lever
manual reporting time
Deployment model
Manual setup + monitored subscription
Before
After FlowOps
Signal — A forecast leadership actually trusts eliminates the single biggest friction point in most B2B sales review cycles.
