NestAds Profit Analytics & LTV

Ads tracking, marketing attribution to allocate budget smartly

Peel: Retention Analytics

Analytics on customer audiences, cohort LTV & subscriptions

NestAds Profit Analytics & LTV

Ads tracking, marketing attribution to allocate budget smartly

Peel: Retention Analytics

Analytics on customer audiences, cohort LTV & subscriptions

Rating

Rating

185 Reviews
9.1
37 Reviews
9.1

Pricing

Pricing

  • $129.99 / Month
  • Free Plan Available
  • 7 Days Free Trial
  • $199-$899 / Month
  • Free Plan Available
  • 7 Days Free Trial

Features

Features

  • Cross-channel tracking
  • Multi-touch attribution
  • First-party data collection
  • Ios 14+ bypass
  • Server-side pixel
  • Creative performance analysis
  • Cohort analysis
  • Product analytics
  • Daily insights
  • Automated dtc metrics
  • Ai-driven dashboards
  • Subscription analysis
  • Audiences analysis

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Pros

Pros

  • Comprehensive view of marketing channels (paid advertising, social media, search engines, etc)
  • Server-side tracking pixel avoids iOS 14 blockage, ad blockers, and cookies limitations
  • Different attribution models to identify top-performing touchpoints
  • Advanced analysis reports to understand ad creative performance
  • Unify marketing data across channels in an easy-to-use dashboard
  • One-time setup and dedicated support
  • Good value for money
  • Ideal for smaller businesses
  • 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 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

Nov 23, 2022
Oct 07, 2019

Developer

Developer

Apps:

8

Average Rating:

4.9

Reviews:

548

Apps:

1

Average Rating:

5

Reviews:

37

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