Addingwell is a fully-managed GTM server-side hosting + tooling (monitoring, adblocker bypass, Safari resilience) to improve data quality, performance and governance.

| Feature | Addingwell | Littledata |
|---|---|---|
| Server-side tracking | ✔️ | ✔️ |
| Works with platforms other than Shopify | ✔️ | |
| 30 day free trial | ✔️ | |
| Founder owned and led | ✔️ | |
| Identity resolution to boost audiences | ✔️ | |
| Customer data to marketing platforms | ✔️ | |
| Fully automatic, no code setup | ✔️ | |
| Automatic tracking of checkout steps | ✔️ | |
| No-code setup for Shopify Hydrogen | ✔️ |
Addingwell offers server-side tracking and works with multiple platforms, providing a fully-managed GTM server-side hosting solution that enhances data quality and performance. In contrast, Littledata also features server-side tracking but emphasizes a no-code setup, automatic tracking of checkout steps, and identity resolution for audience boosting. Littledata's 30-day free trial and founder-led approach appeal to users seeking a quick, user-friendly solution. Littledata wins with its fully automatic setup, making it easier for non-technical users to implement and manage tracking without developer assistance, which can be a significant advantage for Shopify Plus brands.
| Addingwell | Littledata | |
|---|---|---|
| Example product review | Setup took just a few seconds, and it works right away. All my pixels from GTM are now server-side and perfectly connected. So much money saved on ads. | "We were having difficulties with accurate and consistent revenue attribution...With Littledata implemented, we now get consistent and accurate revenue attribution." |
| Example support review | The support was very fast to answer our questions and super helpful. Just be careful to check that the events don't trigger twice. | "Customer support is absolutely amazing... you can never go wrong when an app does what it says and tacks on great service!" |
| Link | Read more reviews |
| Store size | Addingwell | Littledata |
|---|---|---|
| 50 orders / month | $90 | $39 |
| 500 orders / month | $90 | $199 |
| 5,000 orders / month | $130 | $449 |
| 20,000 orders / month | $400 | $1390 |
For 50 orders, Addingwell is 130% more expensive than Littledata. At 500 orders, Addingwell and Littledata are equal, but the second Littledata option is 66% higher. For 5000 orders, Addingwell is 29% cheaper than the first Littledata and 63% cheaper than the second. At 20000 orders, Addingwell is 71% less than the first Littledata and 50% less than the second. Overall, Addingwell tends to be more cost-effective at higher order volumes compared to Littledata.
| Destination | Addingwell | Littledata |
|---|---|---|
| Google Analytics | ✔️ | ✔️ |
| Meta Ads | ✔️ | ✔️ |
| TikTok | ✔️ | ✔️ |
| Google Ads | ✔️ | ✔️ |
| ✔️ | ✔️ | |
| Snap | ✔️ | |
| Klaviyo | ✔️ | |
| Segment | ✔️ | |
| Attentive | ✔️ |
Addingwell focuses on direct integration with major advertising platforms like Google Ads and Meta Ads, optimizing for ad performance tracking. Littledata, on the other hand, offers a broader range of data destinations, including email marketing platforms like Klaviyo and customer data platforms like Segment and Attentive, enhancing customer insights and marketing automation. This makes Littledata more comprehensive for businesses looking to integrate various marketing channels and improve customer engagement.
| Feature | Addingwell | Littledata |
|---|---|---|
| Product list views & clicks | ||
| Tracks products list as you scroll | ✔️ | |
| Tracks clicks on product list | ✔️ | |
| Consistent product identifier in GA4 | ✔️ | |
| Add to Cart | ||
| Tracked client-side | ✔️ | |
| Tracked server-side | ✔️ | |
| Enriched product info | ✔️ | |
| Tracks remove from cart | ✔️ | |
| Checkout steps | ||
| Tracked via checkout page | ✔️ | |
| Tracks checkout started only | ✔️ | |
| Tracked direct from Shopify's servers | ✔️ | |
| Compatible with checkout extensibility | ✔️ | |
| Compatible with accelerated checkouts | ✔️ | |
| Purchase | ||
| Tracked via thank you page | ✔️ | |
| Tracked server side for 100% accuracy | ✔️ | |
| Includes post-purchase upsells | ✔️ | |
| Includes recurring orders | ✔️ | |
| Filter orders by sales channel | ✔️ | |
| Includes refunds | ✔️ | |
| User-provided data for improved attribution | ✔️ | |
| Custom mapping to a source / medium | ✔️ | |
Littledata's purchase and checkout tracking offers superior accuracy and comprehensive data collection. Its server-side tracking ensures 100% accuracy, capturing all purchase events, including post-purchase upsells and recurring orders, while also filtering by sales channel and including refunds. User-provided data enhances attribution, and custom mapping allows for tailored insights.
In contrast, Addingwell's tracking is limited to the thank you page and only tracks checkout initiation, missing critical data points. While Littledata's own tracking is robust, the enhanced server-side capabilities and compatibility with checkout extensibility and accelerated checkouts in the latest version provide a more complete view of user behavior and sales performance, making it the better choice for analytics.
| Feature | Addingwell | Littledata |
|---|---|---|
| Google Ads Conversions | ||
| Unreliable tracking via thank you page | ✔️ | |
| Tracked direct from Shopify's servers | ✔️ | |
| Real-time tracking of Enhanced Conversions | ✔️ | |
| Fully automatic setup | ✔️ | |
| New vs Returning customer conversions | ✔️ | |
| Feature | Addingwell | Littledata |
|---|---|---|
| Key benefits | ||
| 100% accurate revenue in Meta | ✔️ | ✔️ |
| Boost to Event Match Quality Score | ✔️ | |
| Pre-purchase audiences based on first-party data | ✔️ | |
| Target subscriptions vs one-time purchases | ✔️ | |
| Fully automatic setup | ✔️ | |
| AddToCart | ||
| Via Conversions API | ✔️ | |
| InitiateCheckout | ||
| Via Conversions API | ✔️ | |
| Includes all checkout steps | ✔️ | |
| Purchase | ||
| Via Conversions API | ✔️ | ✔️ |
| Includes post-purchase upsells | ✔️ | |
| Includes recurring orders | ✔️ | |
| Filters to exclude orders from some channels | ✔️ | |
| New vs Returning customer conversions | ✔️ | |
