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Customer Center · Core Feature

Purchase Analytics

Spend, category mix, reorder cycle & repurchase trend — see every customer at a glance

Built automatically from each customer's order history: spend ranking, category mix, reorder cycle, seasonal trends and period-over-period change all in one view. Help your export team see exactly what every customer buys, how much and when — stock up early, follow up precisely and seize every reorder window.

360°
Customer purchase profile
0
Manual reporting
Real-time
Purchase data updates
Multi
Category & trend views

Product Interface

Customer spend ranking, value, categories and period-over-period change at a glance

Customer Center · Purchase Analytics · Hoobang ERP
Profiles
Tiering
Time Zones
Protection
Purchase Analytics
Insights
Customer Spend Ranking · YTD
Export Report
Active Customers
186
↑ 8.2%
Total Spend
$M12.6
↑ 18%
Repurchase Rate
71%
↑ 5%
Churn Alerts
9
↓ 4
RankCustomerSpendCategoriesPoP
01Global Tech Ltd.$2.84M12↑ 24%
02Nordic Trade AB$1.96M8↑ 16%
03Sunrise Import Co.$1.42M6↑ 3%
04Pacific Distrib.$0.88M5↓ 11%
1Automatic customer spend ranking
2Category mix & reorder cycle
3Auto alerts on declining spend

Core Capabilities

Full-spectrum analysis, from spend to repurchase trend

Customer spend ranking

Automatically aggregate each customer's cumulative spend and rank them — instantly see who your big accounts are, who is growing and who is slipping.

Category mix

Break down spend by category to see which products each customer favors — a solid basis for cross-selling and recommending new products.

Reorder cycle detection

Rebuild each customer's ordering rhythm and reorder cycle, with reminders as the reorder window nears so you follow up early and never miss a repeat order.

Seasonal trends

Rebuild the purchase curve by month or quarter to reveal peak and off-peak rhythms, helping sales and production stock up and schedule ahead.

PoP & YoY alerts

A notable drop in spend or frequency is flagged in red automatically; combined with the reorder cycle, it surfaces churn risk so you can win customers back in time.

Multi-dimensional roll-up

Roll up spend rankings and trends by salesperson, region or customer tier, and export reports in one click so leadership sees the whole picture at a glance.

Use Cases

Flexibly adapts to different business models

01
Key-account management

Identify high-spend customers' category preferences and reorder cycles to nurture priority accounts and protect your core revenue base.

02
Repurchase follow-up

Predict the next order date from the reorder cycle, with automatic reminders as the window nears, so sales follow up and lift the repeat-order rate.

03
Win back at-risk customers

Declining spend or an overdue order triggers an automatic alert, so you step in immediately and nip churn risk in the bud.

Analytics Workflow

A closed loop from data aggregation to insight-driven follow-up

1
Aggregate

Automatically pull together each customer's historical orders, shipments and payments → no manual entry

2
Analyze

Roll up spend, category and frequency by customer, product and time, generating rankings automatically

3
Insight

Rebuild reorder cycles and seasonal curves, flagging any period-over-period decline in red

4
Follow up

Reorder windows and churn alerts trigger reminders → sales step in at exactly the right moment

FAQ

Questions you may have

Where does the purchase analytics data come from?

It is sourced automatically from each customer's historical orders, shipments and payment records — no manual entry required. The system aggregates spend, category and frequency by customer, product and time in real time, so the analytics always match your live business data.

Can I see a customer's category preferences and seasonal patterns?

Yes. The system breaks down each customer's spend by category and rebuilds the purchase curve by month or quarter, clearly revealing peak and off-peak rhythms so sales can stock up early and follow up ahead of the reorder window.

How do I spot customers with declining spend or churn risk?

Purchase Analytics provides period-over-period and year-over-year change metrics, flagging any notable drop in spend or frequency in red. Combined with the reorder cycle, it identifies customers overdue for an order so sales can step in and win them back in time.

Can purchase analytics roll up by salesperson or region?

Yes. Beyond the single-customer view, you can roll up spend rankings and trends by salesperson, region or customer tier, giving regional managers and leadership a one-screen view of customer structure and purchase contribution.

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