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Are you evaluating analytics solutions for your Shopify store and trying to decide between DataDrew Analytics LTV & CAC and Attribuly Analytics? This comprehensive comparison is designed to help you understand the key features, pricing, and functionalities of these two powerful apps. We dive deep into how each tool can enhance your understanding of customer lifetime value (LTV), customer acquisition cost (CAC), and attributions within your Shopify ecosystem. Whether you're a seasoned e-commerce entrepreneur or just starting out, this guide will aid you in selecting the optimal analytics solution to boost your store's performance and profitability.
Where Knowledge Meets Innovation
DataDrew Analytics : LTV & CAC
Track & Improve CLTV, Cohort analysis, Benchmarks, Products
Attribuly Analytics
Allocate your marketing budget like an expert
DataDrew Analytics : LTV & CAC
Track & Improve CLTV, Cohort analysis, Benchmarks, Products
Attribuly Analytics
Allocate your marketing budget like an expert
Rating
Rating
9.1
7.7
Pricing
Pricing
Features
Features
- Cohort analysis
- Retention insights
- Product benchmarks
- Ltv tracking
- Meta ads insights
- Centralized dashboard
- Customer segmentation
- Accurate conversion tracking
- First-party cookies
- 10+ integrations
- Cross-channel attribution
- Campaign performance analysis
- Budget allocation
- Increase roas
- Measure roi
- Advanced influencer tracking
- Customer journey insights
- Ltv & profit tracking
- Blended roas
Pros
Pros
- Helps track and improve Customer Lifetime Value (CLTV)
- Provides cohort analysis for better customer segmentation
- Offers benchmarking tools for performance comparison
- Tracks multiple product performances
- Accurate conversion tracking with native first-party cookies
- Over 10 integrations including ads, social media, SEO organic, affiliates, influencers, Facebook Shop, and POS
- Improved tracking for various ad platforms such as Facebook, Google, Tiktok, LinkedIn, and Pinterest
- Centralized dashboard with customer journey insights, LTV, profit, margin, and blended ROAS
- Advanced tracking, collaboration, and analysis for influencer marketing
- Capable of creating segments using ad interactions, behaviors, and demographic data
- Highly recommended for businesses just starting out
Cons
Cons
- User interface can be overwhelming for new users
- Occasional bugs reported by users
- Requires a learning curve to fully utilize all features
- Limited integration with some third-party platforms
Categories
Categories
Launched
Launched
Mar 27, 2025
Mar 27, 2025
Developer
Developer
Apps:
1
Average Rating:5
Reviews:27
Apps:
1
Average Rating:4.4
Reviews:325
