Polar Analytics offers a pre-built dashboard with marketing reporting and a proprietary attribution model, focusing on delivering insights through out-of-the-box metrics. It excels in providing a comprehensive view of marketing performance tailored for eCommerce.

Fueled emphasizes server-side tracking and a no-code setup, making it versatile for various platforms beyond Shopify. It captures first-party data across multiple sales and marketing tools, allowing for flexible data usage.

Littledata provides a fully automatic, no-code setup with a focus on privacy compliance and automatic tracking of checkout extensibility. It also includes server-side tracking and identity resolution.

In summary, Polar Analytics is best for in-depth marketing insights, Fueled is ideal for multi-platform data collection, and Littledata focuses on ease of use and privacy compliance. Each tool has unique strengths depending on your specific tracking and data collection needs.

For an online store with 50 orders, Polar Analytics is 100% more expensive than Fueled and 923% more than Littledata. At 500 orders, Polar and Fueled are equal, while Littledata is 63% cheaper than both. With 5,000 orders, Polar is 31% more than Fueled and 229% more than Littledata. At 20,000 orders, Polar is 75% more than Fueled and 338% more than Littledata. Overall, Polar Analytics consistently has the highest pricing across all order volumes.

Polar Analytics focuses on integrating data from various marketing platforms like Meta Ads, Google Ads, and Klaviyo, providing a centralized view for e-commerce performance. Fueled offers similar integrations but emphasizes Google Analytics and Segment for enhanced data collection and analysis. Littledata, on the other hand, supports a broader range of destinations, including TikTok and Pinterest, alongside major platforms like Google Analytics and Meta Ads, allowing for more diverse marketing insights. The main difference lies in the specific platforms each solution prioritizes and their approach to data aggregation and analysis.