Customer Map & Order Trends

Develop by Shopify

$4.99-$19.99

/ Month

2 Days Free Trial

Visualize sales locations and trends with an interactive order map.

Real-time tracking

Interactive order map

Custom timeframe filters

Clustered views

Top regions analytics

About Customer Map & Order Trends

Launched Feb 10, 2025

Built by Shopify

Address

1037 NE 65th St #81438, Seattle, WA, 98115, US

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Description

Visualize and track orders on an interactive map to uncover trends, top regions, and growth

Keel Insights: Order Map Atlas lets merchants track and analyze sales with an interactive map. Easily visualize order locations, top-selling regions, and total sales over custom timeframes. Gain instant insights into market performance, identify trends, and optimize marketing and expansion strategies. The dashboard highlights key metrics, making it easy to spot growth opportunities without sorting through spreadsheets. Perfect for data-driven Shopify merchants.

Interactive order map to track sales and customer locations in real time
Filter orders by product, location, and timeframe for better insights
Switch between clustered and detailed order views for clear analytics

Pros

Interactive order map to track sales and customer locations in real time
Ability to filter orders by product, location, and timeframe for better insights
Offers both clustered and detailed order views for comprehensive analytics
Easy visualization of order locations and top-selling regions
Facilitates instant insights into market performance and trends
Optimizes marketing and expansion strategies by identifying growth opportunities
User-friendly dashboard highlights key metrics without the need for spreadsheets
Perfect for data-driven Shopify merchants

Cons

Limited to Shopify merchants, potentially excluding other e-commerce platforms
May require a learning curve for users not familiar with interactive data tools
Real-time tracking and analytics might demand higher resource usage from devices
Potential for information overload if not properly filtered or managed