
Addingwell is a fully-managed GTM server-side hosting + tooling (monitoring, adblocker bypass, Safari resilience) to improve data quality, performance and governance.
| Feature | Littledata | Addingwell |
|---|---|---|
| 30 day free trial | ✔️ | |
| Founder owned and led | ✔️ | |
| Identity resolution to boost audiences | ✔️ | |
| Direct from Shopify's servers | ✔️ | |
| Customer data to marketing platforms | ✔️ | |
| Fully automatic, no code setup | ✔️ | |
| Natively supports Shopify Markets | ✔️ | |
| Automatic tracking of checkout steps | ✔️ | |
| Works with platforms other than Shopify | ✔️ | |
| Via server-side Google Tag Manager | ✔️ |
Littledata vs Addingwell for Shopify Plus
Addingwell is a server-side GTM hosting solution — flexible across platforms, but it still depends on browser-side tags to initiate tracking. This limits event completeness and customer data enrichment, particularly across Shopify's checkout.
Littledata pulls data directly from Shopify's servers, meaning it captures events the browser never sees — abandoned checkouts, post-purchase flows, subscription events — and enriches them with full customer context. No GTM, no browser dependency.
Where Littledata wins outright:
For a Shopify Plus brand prioritising data completeness and marketing performance, Littledata is the purpose-built choice.
| Littledata | Addingwell | |
|---|---|---|
| Example product review | "We were having difficulties with accurate and consistent revenue attribution...With Littledata implemented, we now get consistent and accurate revenue attribution." | 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. |
| Example support review | "Customer support is absolutely amazing... you can never go wrong when an app does what it says and tacks on great service!" | The support was very fast to answer our questions and super helpful. Just be careful to check that the events don't trigger twice. |
| Link | Read more reviews |
| Store size | Littledata | Addingwell |
|---|---|---|
| 50 orders / month | $39 | $90 |
| 500 orders / month | $199 | $90 |
| 5,000 orders / month | $449 | $130 |
| 20,000 orders / month | $1390 | $400 |
For an online store with 50 orders per month, Addingwell is 131% more expensive than Littledata. At 500 orders, Addingwell and Littledata are equal, while Littledata is 25% cheaper than the second Littledata option. For 5000 orders, Addingwell is 71% cheaper than Littledata, and the second Littledata is 22% cheaper than the first. At 20000 orders, Addingwell is 71% cheaper than Littledata, while the second Littledata is 43% cheaper than the first.
| Destination | Littledata | Addingwell |
|---|---|---|
| Google Analytics | ✔️ | ✔️ |
| Meta Ads | ✔️ | ✔️ |
| TikTok | ✔️ | ✔️ |
| ✔️ | ✔️ | |
| Google Ads | ✔️ | ✔️ |
| Microsoft Ads | ✔️ | ✔️ |
| Klaviyo | ✔️ | |
| Segment | ✔️ | |
| Attentive | ✔️ | |
| Snap | ✔️ |
Key Difference:
Littledata focuses on marketing + CRM/CDP integrations, including Klaviyo, Segment, and Attentive — making it stronger for email/SMS marketing attribution and data warehousing pipelines.
Addingwell focuses purely on paid media destinations, adding Snapchat as a unique channel Littledata doesn't support.
In short:
Both cover the core paid media stack (Meta, TikTok, Google, Pinterest, Microsoft) comparably.
| Feature | Littledata | Addingwell |
|---|---|---|
| Product list views & clicks | ||
| Tracks products list as you scroll | ✔️ | |
| Tracks clicks on product list | ✔️ | |
| Consistent product identifier in GA4 | ✔️ | |
| Add to Cart | ||
| Tracked server-side | ✔️ | |
| Enriched product info | ✔️ | |
| Tracks remove from cart | ✔️ | |
| Tracked client-side | ✔️ | |
| Checkout steps | ||
| Tracked direct from Shopify's servers | ✔️ | |
| Compatible with checkout extensibility | ✔️ | |
| Compatible with accelerated checkouts | ✔️ | |
| Tracks all checkout steps | ✔️ | |
| Tracked via checkout page | ✔️ | |
| Purchase | ||
| Direct from Shopify 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 | ✔️ | |
| Tracked via thank you page | ✔️ | |
Littledata's server-side purchase tracking ensures 100% accuracy by capturing data directly from your server, which is more reliable than tracking from Shopify's servers. It includes comprehensive features like post-purchase upsells, recurring orders, and refunds, along with user-provided data for better attribution. The custom mapping to source/medium enhances marketing insights.
For checkout tracking, Littledata's server-side approach captures all steps, ensuring no data loss, and is compatible with checkout extensibility and accelerated checkouts. In contrast, Addingwell's tracking relies on the thank you and checkout pages, which can miss critical data points, leading to less accurate analytics. Overall, Littledata offers a more robust and precise tracking solution.
| Feature | Littledata | Addingwell |
|---|---|---|
| Google Ads Conversions | ||
| Tracked direct from Shopify's servers | ✔️ | |
| Real-time tracking of Enhanced Conversions | ✔️ | |
| Fully automatic setup | ✔️ | |
| New vs Returning customer conversions | ✔️ | |
| Unreliable tracking via thank you page | ✔️ | |
| Feature | Littledata | Addingwell |
|---|---|---|
| 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 | ✔️ | |
