How a B2B data intelligence platform discovered their unit costs were running 46% higher
Every pricing decision the company made was built on a cost they'd never measured. Flowace calculated it in four weeks, and found it was running 46% higher than assumed.
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About The Client
The client is an AI-powered B2B data intelligence platform. Its core product is a verified contact. Every pricing decision, every capacity plan, and every profitability projection is built on the cost to produce one. Before Flowace, that number had never been calculated, it had only ever been assumed.
No instrument existed to measure the most critical cost
The cost to produce a verified B2B contact, analyst time multiplied by salary rate, is the number every margin calculation, and every capacity plan is built on.
The HR problem ran in parallel. Every payroll cycle, the team reconciled attendance across punch registers, and self-reported Excel logs, a 3–5 day exercise that produced a number nobody fully trusted. And underneath it all, a visibility gap, wherein the ops lead couldn’t tell which applications the employees spent time on.
Every price built on a cost that didn’t exist
Without task-level tracking, cost per verified contact was only estimated. Every subscription price, every margin projection, every capacity plan was assumption-built.
₹47.4L in a single quarter, unclaimed and undetected
A 22% attendance gap meant hours claimed as worked weren’t appearing in activity logs. That gap was worth ₹47.4L in Q1 alone, invisible to every payroll cycle before Flowace.
Open tab ≠ active work. Nobody could tell.
35% of hours logged as productive in approved tools had the tool open in the background. App categorisation said active, but screenshot audit said otherwise.
“Flowace revealed our real contact verification cost was 28-46% higher than estimated, the visibility gap was killing margin silently.”
4 weeks with Flowace and Analystt AI saw unforeseen numbers
Accurate, up-close task-level tracking changed every commercial assumption Analystt AI had ever made.
Real contact cost ran way above every estimate
Within 4 weeks, task-level tracking revealed actual verification time ran 28-46% above internal estimates.
Attendance gap surfaced in a single quarter
A 22% gap between claimed and logged hours, worth ₹47.4L in Q1 alone. The 3–5 day reconciliation cycle dropped to near-zero. Payroll now runs on system-generated records.
Of "productive" hours, exposed by screenshot audit
Periodic screenshots revealed 35% of hours logged as active in approved tools had the tool open in the background, a gap app categorisation alone could never have been detected.
Analystt AI was running a business on numbers it had never verified. Every price point, every margin, every growth projection built before Flowace was built on that gap. Flowace gave them, for the first time, the actual numbers their operation was producing, and the evidence to build commercial decisions that hold up under scrutiny.
Do you know what your core product actually costs to deliver?
Most teams discover their unit cost assumptions are off by 20–40% in their first Flowace report. You just haven't measured it yet.
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