Is rising revenue real growth or just seasonality? Which products are quietly falling behind? What share do your top customers contribute? Which sales rep has the highest average order value? SBK's sales analysis module answers these questions clearly with charts.
Not just "how much you sold" but "who you sold to, what you sold, and how you sold it"
Multi-granularity trend lines by day / week / month / quarter / year, with YoY and MoM at a glance
Rank by amount / quantity / gross margin to find the truly profitable hits
Top customers' contribution share, identifying "high-value customers" and the risk of over-dependence on big accounts
Multi-dimensional comparison of reps by revenue / average order value / deals closed / gross margin
Tally revenue by province and region, with a map heatmap intuitively highlighting key markets
Turn key metrics into a sales dashboard, visible to everyone on the team at morning stand-up
Monthly Sales ($K)
Many companies celebrate a 20% monthly sales jump, but the same period last year may have grown 25%. SBK puts YoY, MoM and trailing-12-month trends on one chart, so you can see clearly whether it's a market-wide rise or your own capability improving.
Top-Customer Cumulative (Pareto)
The "80/20 rule" almost always holds for customers — 20% contribute 80% of sales. But who those 20% are, whether their contribution share is changing, and whether you're over-dependent on one or two big accounts are key to sales decisions.
The sales director opens the dashboard: amounts / gross margin / rankings / anomalies all on one screen — review meetings get far more efficient.
Read the bottom of the best-seller list in reverse — SKUs with sales below threshold for 3 straight months start clearance or delisting.
Top 20 customers get dedicated reps, CRM auto-tags them "VIP", and after-sales response levels are raised.
Reps with high AOV + gross margin get higher commissions; those relying on volume but low margin go back to training.
Sales order data is the foundation of analysis — the more standardized your orders, the more accurate the analysis
Combine collection data to see which sales are "real cash" and which are just "on the books"
View sales gross margin and customer profit contribution together to inform customer tiering
Analysis results feed into CRM customer tiering, triggering automated follow-up
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