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Sales Analytics Glossary

"Your gift will make room in the marketplace, but performance management will keep you there!"

ASP (Average Sale Price) Sales
The average sales price of an item or unit on a sales transaction. It is NOT the average dollar amount per sale transaction. This metric helps you understand your typical deal size.
Formula: Revenue ÷ Total # of Units Sold OR $PC ÷ UPT
UPT (Units Per Transaction) Sales
Average number of items or units sold in each transaction. Higher UPT means customers are buying more per visit.
Transactions Sales
Total number of completed sales or purchases. Each transaction represents a successful customer exchange.
Leads Sales
Potential customers who have shown initial interest in your product or service. These are unqualified prospects in your sales funnel.
Prospects Sales
Qualified leads who are actively considering your solution. These have been vetted and meet your ideal customer criteria.
Conversion Rate Sales
Percentage of prospects that become paying customers. A key metric for measuring sales effectiveness.
Formula: (Customers ÷ Prospects) × 100
$ per Customer ($PC) Customer
The average dollar amount per sales transaction. This is the average transaction value, NOT the lifetime value per customer. It tells you how much revenue you generate per sale.
Formula: Total Revenue ÷ Number of Transactions OR ASP × UPT
Avg Customer Value (ACV) Customer
The average total revenue each customer has spent during a specific period of time. This is different from $PC which measures per transaction. ACV measures total spend per customer.
Formula: Total Revenue ÷ Number of Customers
Units Sold Sales
Total number of individual items or units sold across all transactions. This is essential for calculating ASP (price per unit) and UPT (units per transaction).
CLV (Customer Lifetime Value) Customer
Total revenue you can expect from a single customer throughout their entire relationship with your business.
Formula: $ Per Customer × Purchase Frequency × Customer Lifespan
Purchase Frequency Customer
How often customers make purchases from your business. Categorized as Low (0-5x/year), Medium (6-11x/year), or High (12+x/year).
RFM Score Customer
Customer value scoring based on three factors: Recency (how recently they bought), Frequency (how often they buy), and Monetary value (how much they spend).
Revenue Driver Financial
A marketing channel, product line, or source that generates customer revenue for your business. Examples: Product Sales, Service Revenue, Consulting.
Profit Margin % Financial
Percentage of revenue that becomes profit after subtracting costs. This shows your profitability efficiency.
Formula: (Revenue - Costs) ÷ Revenue × 100

Smart Upload — AI-Powered

Upload any spreadsheet — CSV, Excel (.xlsx/.xls), TSV, JSON, or TXT. Our AI will analyze the columns and map them to Sales Gap Finder fields automatically.

Drop one or more files here, or click to browse

Supported: CSV, XLSX, XLS, TSV, JSON, TXT — upload as many as you need

CRM & App Integrations

Connect the apps your business already uses. Sales Gap Finder will pull transactions, customers, and revenue data automatically — no manual entry.

Real-time sync available: Stripe, Square (just paste an API key). Manual export: QuickBooks, Shopify, Toast, Mindbody (export from their app → drop into Smart Upload).

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