Daasity Reporting & Analytics

Simplified eCommerce analytics to quickly grow revenue

Peel: Retention Analytics

Analytics on customer audiences, cohort LTV & subscriptions

Daasity Reporting & Analytics

Simplified eCommerce analytics to quickly grow revenue

Peel: Retention Analytics

Analytics on customer audiences, cohort LTV & subscriptions

Rating

Rating

52 Reviews
8
37 Reviews
9.1

Pricing

Pricing

  • $1299-$399 / Month
  • 14 Days Free Trial
  • $199-$899 / Month
  • Free Plan Available
  • 7 Days Free Trial

Features

Features

  • Sales analytics
  • Customer insights
  • Advanced reporting
  • Data integration
  • Revenue growth
  • Cohort analysis
  • Product analytics
  • Daily insights
  • Automated dtc metrics
  • Ai-driven dashboards
  • Subscription analysis
  • Audiences analysis

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Pros

Pros

  • Provides simplified and comprehensive eCommerce analytics
  • Designed to help quickly grow revenue
  • Easy to use and navigate interface
  • Consolidates data from multiple platforms for a unified view
  • Offers actionable insights to drive business decisions
  • Automated detailed DTC metrics, saving time by eliminating data hunting and cleaning
  • AI-powered Magic Dash feature that automatically builds insightful dashboards with visuals
  • Comprehensive Cohort Analysis for monitoring retention and revenue trends
  • Advanced product analytics including Market Basket Analysis and Purchasing Journey
  • Subscription analytics to manage subscriber and subscription data effectively
  • Capability to build hyper-targeted customer segments through Audiences & RFM analysis
  • Daily insights delivered via Slack/Email and custom dashboards for easy access to reports

Cons

Cons

  • Can be expensive for small businesses or startups
  • May have a steep learning curve for users unfamiliar with data analytics
  • Limited customization options for advanced users
  • May have a learning curve for users unfamiliar with advanced analytics features
  • Potentially expensive for small businesses or startups due to advanced features
  • Reliance on AI might result in occasional inaccuracies or misinterpretations in data insights
  • Requires integration with existing data systems, which could be complex for some businesses
  • Features may be overkill for businesses that do not need detailed metrics and analysis

Launched

Launched

May 12, 2020
Oct 07, 2019

Developer

Developer

Apps:

1

Average Rating:

4.9

Reviews:

52

Apps:

1

Average Rating:

5

Reviews:

37

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