Say goodbye to siloed and inaccurate data that is slowing you down. Centralize your analytics, sales and marketing platform data, enabling faster, data-driven decisions.
Upstack Data - formerly known as Upstackify - is used by an unknown number of Shopify sites.
Popsixle fixes the data you're sending to Facebook and Instagram so it knows who your best customers are. Scale your revenue with better audiences and conversion tracking. Popsixle is used by 500 Shopify sites.
You could use both Popsixle for accurate data, and Upstack Data for reporting
Feature | Upstack Data | Popsixle | Littledata |
---|---|---|---|
Identity resolution to boost audiences | ✔️ | ✔️ | ✔️ |
Customer data to marketing platforms | ✔️ | ✔️ | ✔️ |
Server-side tracking | ✔️ | ✔️ | ✔️ |
30 day free trial | ✔️ | ✔️ | |
Public statement of privacy compliance | ✔️ | ✔️ | |
Fully automatic, no code setup | ✔️ | ✔️ | |
Marketing reporting | ✔️ | ||
Proprietary attribution model | ✔️ | ||
Works with platforms other than Shopify | ✔️ | ||
Automatic tracking of checkout extensibility | ✔️ | ||
No-code setup for Shopify Hydrogen | ✔️ |
Upstack Data offers a comprehensive solution with features like marketing reporting and a proprietary attribution model, which can enhance your data analysis and decision-making. Its fully automatic, no-code setup simplifies implementation, while the 30-day free trial allows you to test its capabilities. The focus on centralizing analytics helps eliminate data silos.
In comparison, Popsixle emphasizes improving data accuracy specifically for Facebook and Instagram, which can enhance audience targeting and conversion tracking. However, it lacks the extensive marketing reporting and proprietary attribution model found in Upstack Data.
Littledata shares several features with Upstack, including a 30-day free trial and automatic setup. It also focuses on checkout extensibility, which may be beneficial for ecommerce tracking. However, it does not offer a proprietary attribution model, which could limit deeper insights compared to Upstack Data. Overall, Upstack Data provides a more robust analytics and reporting framework.
Store size | Upstack Data | Popsixle | Littledata |
---|---|---|---|
50 orders / month | $299 | $95 | $39 |
500 orders / month | $299 | $95 | $149 |
5,000 orders / month | $599 | $250 | $349 |
20,000 orders / month | $999 | $795 | $799 |
For 50 orders, Upstack Data is 214% more expensive than Popsixle and 666% more than Littledata. At 500 orders, Upstack Data and Popsixle are equal, while Littledata is 50% cheaper than both. For 5000 orders, Upstack Data is 139% more than Popsixle and 71% more than Littledata. At 20000 orders, Upstack Data is 25% more than Popsixle and 25% more than Littledata. Overall, Upstack Data consistently has the highest pricing across all order volumes.
Destination | Upstack Data | Popsixle | Littledata |
---|---|---|---|
Meta Ads | ✔️ | ✔️ | ✔️ |
TikTok | ✔️ | ✔️ | |
Klaviyo | ✔️ | ✔️ | |
Google Ads | ✔️ | ✔️ | |
Google Analytics | ✔️ | ||
✔️ | |||
Segment | ✔️ | ||
Attentive | ✔️ |
Upstack Data focuses on integrating with multiple platforms like Meta Ads, TikTok, Klaviyo, and Google Ads, providing a broad range of data destinations for comprehensive tracking. Popsixle primarily emphasizes Meta Ads, offering a more streamlined approach for Facebook advertising. In contrast, Littledata supports a wider array of destinations, including Google Analytics, TikTok, Pinterest, and Segment, allowing for extensive data collection and analysis across various channels. This diversity enables brands to leverage insights from multiple platforms effectively, enhancing their marketing strategies.
Feature | Upstack Data | Popsixle | Littledata |
---|---|---|---|
Added to Cart trigger | |||
Via Conversions API | ✔️ | ✔️ | |
Checkout steps | |||
Via Conversions API | ✔️ | ✔️ | |
Includes all checkout steps | ✔️ | ✔️ | |
Purchase event | |||
Via Conversions API | ✔️ | ✔️ | ✔️ |
Includes recurring orders | ✔️ | ✔️ | |
Filters to exclude orders from some channels | ✔️ | ✔️ | |
Includes post-purchase upsells | ✔️ |