MapleMonk Analytics & Insights

Name: MapleMonk Analytics &amp; Insights Introduction Video
Uploaded: 2024-04-03T19:21:03Z
Duration: 1 min 33 s
Description: Sales, Marketing, Customer and Operations Analytics

Develop by Shopify

$99

/ Month

7 Days Free Trial

Sales, Marketing, Customer and Operations Analytics

Product recommendations

Inventory tracking

Customer cohort analysis

Custom dashboards

Marketing recommendations

Ready-made dashboards

Auto-refresh feature

Sales metrics tracking

Rfm segmentation

About MapleMonk Analytics & Insights

Launched Mar 08, 2023

Built by Shopify

Address

2035 Sunset Lake RoadSuite B-2, Newark, DE, 19702, US

Website Support Portal Privacy policy Tutorial FAQ Document

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Introduction Video

Description

One-stop data management & advanced analytics platform with ready made dashboards for E-com brands

MapleMonk dashboards & insights help improve both top line & bottom line by integrating multiple data sources such as Shopify, Amazon, FB, Google Ads, Google Analytics, Amazon Ads etc. to a scalable and centralised data warehouse & track key metrics across sales, marketing, customer, operations functions.

Get ready made dashboards and create custom dashboards that are auto-refreshed
Track sales metrics such as orders, revenue, cancellations, returns, ROAS, etc.
Get recommendations to improve marketing campaigns that aren't working
Analyse customer cohorts, RFM segments & get product recommendation by customer
Track dispatch and delivery SLAs & avoid out of stocks by tracking inventory

Pros

Integration with multiple data sources such as Shopify, Amazon, FB, Google Ads, Google Analytics, and Amazon Ads, facilitating a centralized data warehouse
Ready-made dashboards and the ability to create custom dashboards that auto-refresh, providing real-time insights
Comprehensive tracking of sales metrics including orders, revenue, cancellations, returns, and ROAS
Marketing campaign improvement recommendations, enabling more effective marketing strategies
Customer analysis features such as customer cohorts and RFM segments, enhancing personalized marketing
Product recommendation by customer, potentially increasing sales and customer satisfaction
Operations tracking including dispatch and delivery SLAs, as well as inventory management to avoid out-of-stock situations

Cons

Potentially steep learning curve for users not familiar with comprehensive data analytics tools
Dependence on data accuracy and completeness from integrated sources, which could affect the quality of insights
Custom dashboard creation might require a deeper understanding of the datasets and metrics
Possible performance issues if handling very large datasets, particularly if not optimized