Welcome to Performetry’s
People + Revenue Analytics
Quick and easy implementation
Supported by our dedicated customer success team and/or company founders
Step 1
Procurement and the signing of customer agreement
Step 2
Technical setup and data integrations
Step 3
Start gathering data, insights, and predictive analytics
What will I get?
Our platform offers various analytics solutions, including the following use cases:
Analyzing the key drivers of revenue, costs, and risks
- Dashboards, graphs, and data tables depicting key revenue, cost, and risk drivers
- Dashboards, graphs, and data tables showcasing top performer traits and behaviors
- Identification of key employee groups and segments
- Downloadable reports for convenient sharing and analysis
Using ai to uncover incremental revenue opportunities
- Quarterly opportunities for boosting revenue through accelerated growth, cost optimization, and risk mitigation
- Comprehensive information for each opportunity, including measurable metrics
- A structured opportunities pipeline for streamlined project management and reporting
For any questions, please reach out to founders@performetry.ai
Trust, Privacy, Security, and Compliance
Please, visit our dedicated Trust & Security page
How long does it take to get results?
Day
Action item
Who is involved
Day 1
Procurement and the signing of customer agreement
CHRO/CRO/CEO/CFO, customer legal team, Performetry's legal team
Day 2
Security review
Customer security team, Performetry's customer success team
Day 3
Technical setup and data integrations
Customer IT team, Performetry's engineering team
Day 4
Data import, propagation, and analysis
Performetry's engineering team
Day 5
Web platform initial review
CHRO/CRO/CEO/CFO, Performetry’s founders
Day 6-15
Web platform launch
CHRO/CRO/CEO/CFO
What data is used to build the ML model?
HRIS data, sales CRM data, and metadata from work tools;
Examples of metadata used:
What is Performetry’s secret sauce?
Performetry pairs previously unmatched datasets to offer an unparalleled, holistic view of all factors that impact revenue