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Polar Analytics ‑ LTV & Profit

Multichannel analytics software, no engineering required.

Peel: Retention Analytics

Analytics on customer audiences, cohort LTV & subscriptions

Polar Analytics ‑ LTV & Profit

Multichannel analytics software, no engineering required.

Peel: Retention Analytics

Analytics on customer audiences, cohort LTV & subscriptions

Rating

Rating

115 Reviews
7.7
34 Reviews
9.1

Pricing

Pricing

  • $300-$400 / Month
  • Free Plan Available
  • 7 Days Free Trial
  • $199-$899 / Month
  • Free Plan Available
  • 7 Days Free Trial

Features

Features

  • Real-time alerts
  • 1-click integrations
  • Custom kpi dashboards
  • Omnichannel reporting
  • Cohort analysis
  • Product analytics
  • Daily insights
  • Automated dtc metrics
  • Ai-driven dashboards
  • Subscription analysis
  • Audiences analysis

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Pros

Pros

  • Easy 1-click setup for quick integration
  • Centralizes all data in one platform, saving time on manual reporting
  • Wide range of integrations: Shopify, Amazon, Google, Meta, Tiktok, Klaviyo, and more
  • Customizable KPI dashboards for various metrics: Spend, CAC, LTV, ROAS, CVR, Cohorts, Inventory, etc
  • Real-time alerts to monitor critical metrics
  • Omnichannel reporting supports multiple brands and stores
  • Hands-on support for dashboard configuration
  • High security with private and flexible Snowflake database
  • 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

  • May have a learning curve for configuring custom reports
  • Depends on the stability and availability of integrated data sources
  • Potential over-reliance on pre-loaded metric libraries
  • User feedback suggests that the app may sometimes be slow when handling large data volumes
  • 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

Oct 27, 2020
Oct 07, 2019

Developer

Developer

Apps:

1

Average Rating:

4.7

Reviews:

115

Apps:

1

Average Rating:

5

Reviews:

34

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