SegmentIQ ‑ Customer CRM

Develop by Foysal Solutions

$19-$99

/ Month

Free plan available

Segment customers, track trends, and sync for targeted campaigns effortlessly.

Lifetime value tracking

Rfm segmentation

Churn risk scoring

Revenue trends dashboard

Email campaign sync

About SegmentIQ ‑ Customer CRM

Launched May 26, 2026

Built by Foysal Solutions

Address

Chattogram, BD

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Description

Segment customers by RFM, track churn risk, and identify your most valuable buyers.

Automatically segments your customers into 12 RFM groups based on real purchase data — Champions, At-Risk, Dormant, and more. See each customer's lifetime value, DNA score, and churn risk score. Track revenue trends, top products, and repeat purchase rates on a live dashboard. Sync customer segments to Mailchimp or Klaviyo for targeted email campaigns. Works instantly after install — no manual setup needed.

RFM segmentation: group customers into 12 segments based on purchase behavior
Churn risk scoring: identify at-risk customers before they stop buying
Customer lifetime value, DNA score, and tier tracking for every customer
Revenue trends, top products, and repeat purchase rate dashboard
Sync segments to Mailchimp or Klaviyo for targeted email campaigns

Pros

Automated segmentation into 12 RFM groups enhances customer insight.
No manual setup required; works instantly after installation.
Ability to track key metrics like customer lifetime value and churn risk score.
Live dashboard provides real-time tracking of revenue trends, top products, and repeat purchase rates.
Seamless integration with marketing tools like Mailchimp and Klaviyo for efficient campaign targeting.
Helps identify at-risk customers, allowing for proactive retention strategies.

Cons

Some users may need customization beyond the predefined 12 RFM groups.
Integration may not support all CRM and email marketing platforms, potentially limiting functionality for some businesses.
High dependency on accurate purchase data; discrepancies can impact segmentation accuracy.
Advanced features might require a learning curve for users unfamiliar with RFM analysis.