Customer Analytics | Customer Intelligence | Customer Behavior & Lifetime Value
by Hi Spark Solutions https://www.hisparksolutions.com/$ 34.00
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👥 Odoo Customer Analytics — hispark_customer_analytics
Customer AnalyticsRFM • CLV • Segmentation • Top Customers • Purchase FrequencyUnlock deep customer intelligence with Hi Spark Customer Analytics for Odoo 18. Analyze New vs Returning Customers, Lifetime Value (CLV), RFM Scores, Customer Segments, Top Customers, and purchase frequency — all powered by the same SQL-backed engine as the rest of the Hi Spark Analytics Suite. Export every report to PDF, Excel, or CSV.
👥 New vs Returning
💰 Customer Lifetime Value
🏆 Top Customers
📈 Purchase Frequency
📊 RFM Analysis
👥 Customer Segmentation
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You Have Customer Data — But Not Customer Intelligence
Sales orders and invoices contain rich customer behavior signals, yet most businesses struggle to answer simple questions: Who are my best customers? Who is at risk of leaving? What is each customer’s lifetime value? Without dedicated analytics, retention and growth decisions remain guesswork.
No Clear Customer View
Customer purchase history, frequency, and value are scattered across orders and invoices, making it hard to see who truly drives revenue.
Missing Lifetime Insights
Without CLV and RFM scoring, teams cannot prioritize high-value customers or identify those drifting toward churn.
Manual Segmentation Work
Building customer segments in spreadsheets is slow, error-prone, and becomes outdated the moment new orders arrive.
Customer Intelligence Built for Odoo
Six focused reports that turn raw sales data into actionable customer insights — all sharing the same wizard, filters, and export engine as the rest of the Hi Spark Analytics Suite.
👥 New vs Returning Customers
See how many customers ordered for the first time versus how many came back in any selected period. Track acquisition versus retention at a glance.
💰 Customer Lifetime Value (CLV)
Historical CLV calculated as of the selected end date. Rank customers by total revenue contribution and identify your most valuable relationships.
🏆 Top Customers
Instant ranking of your highest-revenue customers. Perfect for account prioritization, VIP programs, and sales focus lists.
📈 Purchase Frequency
Average days between orders for each customer. Spot loyal high-frequency buyers and those whose purchase cadence is slowing down.
📊 RFM Analysis
Classic Recency / Frequency / Monetary scoring with quintile bands. Every customer receives an R, F, and M score ready for action.
👥 Customer Segmentation
RFM scores automatically rolled up into named segments: Champions, Loyal Customers, Potential Loyalists, At Risk, and Lost/Lapsed.
📥 Unified Export Engine
Every report exports to PDF, Excel (XLSX), and CSV from the same wizard — consistent with the entire Hi Spark Analytics Suite.
📅 Flexible Date Filters
Run any report for custom date ranges. CLV and RFM are calculated relative to the selected end date for accurate historical analysis.
⚙ Native Odoo Integration
Built on the Hi Spark Core Analytics framework. Uses existing sales and partner data with no external tools or data exports required.
Built for Teams That Care About Customers
Whether you run a B2B sales team, an e-commerce store, or a multi-channel retail business, these reports help you understand and grow your customer base.
Sales Managers
Focus the team on Champions and high-CLV accounts while flagging At-Risk customers for proactive outreach.
E-Commerce Teams
Track new vs returning buyers, purchase frequency, and lifetime value to improve retention campaigns.
Marketing Managers
Use RFM segments to target the right message to the right customer group and measure campaign impact.
Business Owners
See which customers generate the majority of revenue and where retention efforts will protect the most value.
Generate Customer Insights in Minutes
Requires Hi Spark Core Analytics. Install, open the wizard, choose a report and date range, then export.
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Install Core + Customer AnalyticsFirst install Hi Spark Core Analytics, then install Customer Analytics. Both integrate with your existing Sales data. |
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Open Customer AnalyticsNavigate to the Analytics menu and open the Customer Analytics wizard shared with the rest of the suite. |
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Choose Report & Date RangeSelect New vs Returning, CLV, Top Customers, Purchase Frequency, RFM, or Segmentation, then set the analysis period. |
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Generate the ReportInstantly view customer scores, segments, rankings, and lifetime values calculated from your live Odoo data. |
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Export ResultsDownload PDF, Excel, or CSV for meetings, campaigns, or further analysis outside Odoo. |
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Act on the InsightsPrioritize Champions, re-engage At-Risk customers, and design retention programs based on real CLV and RFM data. |
Version Timeline
Continuously improved with new features, performance fixes, and customer-driven enhancements.
| Version | Release Notes |
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| 18.0.1 — Latest | Initial release (Phase 3a). New vs Returning Customers, Customer Lifetime Value (CLV), Top Customers, Purchase Frequency, RFM Analysis with quintile scoring, and Customer Segmentation (Champions, Loyal, Potential Loyalists, At Risk, Lost/Lapsed). Full PDF / Excel / CSV export support via Hi Spark Core Analytics. |
Visual Tour - See It In ActionExplore every sales report with side-by-side PDF and Excel (XLSX) outputs, designed to help you analyze revenue, orders, profitability, and key business KPIs. New vs Returning Customers
Customer Lifetime Value (CLV)
Top Customers
Customer Purchase Frequency
RFM Analysis
Customer Segmentation
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Multi-Language Support
All labels, buttons, and messages are translatable via Odoo's standard PO-based translation system. Install any language pack and the module follows automatically. RTL support for Arabic is handled by Odoo core.
Questions Before You Buy
Does this require Hi Spark Core Analytics?
Yes. Customer Analytics depends on the shared reporting framework, wizard, and export engine provided by Hi Spark Core Analytics. Install Core first.
How is CLV calculated?
Historical Customer Lifetime Value is calculated as of the selected end date using the customer’s total sales contribution up to that point. No future projection is applied in this release.
What segments are available?
RFM scores are rolled up into: Champions, Loyal Customers, Potential Loyalists, At Risk, and Lost/Lapsed. Segments update automatically with each report run.
Which export formats are supported?
All reports can be exported in PDF, Excel (XLSX), and CSV formats from the same wizard used by the rest of the Analytics Suite.
Is multi-company supported?
Yes. The module fully respects Odoo’s multi-company rules so each company’s customer analytics remain isolated.
Compatible with Odoo Community?
Yes. Fully compatible with both Odoo Community and Odoo Enterprise editions (Odoo 18).
Our Services
End-to-end Odoo expertise — from implementation to ongoing support.
Get In Touch
For any query or support contact us via the Website Contact Form
support@hisparksolutions.com | Contact Support
| Availability |
Odoo Online
Odoo.sh
On Premise
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| Odoo Apps Dependencies |
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Sales (sale_management)
• Discuss (mail) • Invoicing (account) |
| Community Apps Dependencies | Show |
| Lines of code | 708 |
| Technical Name |
hispark_customer_analytics |
| License | OPL-1 |
| Website | https://www.hisparksolutions.com/ |
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