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

Analyzify is the easiest way to get valuable insights from your Shopify data. With Analyzify, you can connect your Shopify store with Google Tag Manager, Google Analytics 4, and many others easily.
| Feature | Addingwell | Analyzify | Littledata |
|---|---|---|---|
| Works with platforms other than Shopify | ✔️ | ✔️ | |
| Customer data to marketing platforms | ✔️ | ✔️ | |
| 30 day free trial | ✔️ | ✔️ | |
| Founder owned and led | ✔️ | ✔️ | |
| Via server-side Google Tag Manager | ✔️ | ||
| Identity resolution to boost audiences | ✔️ | ||
| Direct from Shopify's servers | ✔️ | ||
| Fully automatic, no code setup | ✔️ | ||
| Natively supports Shopify Markets | ✔️ | ||
| Automatic tracking of checkout steps | ✔️ |
Neither Addingwell nor Analyzify is Littledata, so here's where Littledata wins:
Both Addingwell and Analyzify rely on Google Tag Manager, which is browser-based at its core. Even Addingwell's server-side GTM still depends on browser tags firing first — meaning ad blockers, Safari ITP, and missed browser events all create data gaps.
Neither offers Direct from Shopify's servers, which is where Littledata has a clear edge. By pulling data server-side directly from Shopify, Littledata captures events the browser never sees — including complete checkout steps, post-purchase flows, and enriched customer data — without relying on a tag firing correctly.
Littledata also wins on:
For a Shopify Plus brand prioritizing data completeness, Littledata's server-side Shopify connection is the stronger foundation.
Addingwell vs Analyzify's customer reviews
| Addingwell | Analyzify | 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. | "Conflicting GA4 properties led to quadruplicate tracking and corrupted analytics data... resulted in significant financial impact due to lost advertising effectiveness and countless hours of troubleshooting." | "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. | "Awful experience. You pay $$$ and have to troubleshoot everything with little help... just get redirected to help articles." | "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 | Read more reviews | Read more reviews |
Addingwell vs Analyzify's monthly subscription cost
| Store size | Addingwell | Analyzify | Littledata |
|---|---|---|---|
| 50 orders / month | $90 | $79 | $39 |
| 500 orders / month | $90 | $79 | $175 |
| 5,000 orders / month | $130 | $79 | $540 |
| 20,000 orders / month | $400 | $183 | $1390 |
Sources: Addingwell pricing, Analyzify pricing, Littledata pricing. Prices last verified July 10, 2026.
For an online store with 50 orders per month, Addingwell is 14% more expensive than Analyzify and 131% more than Littledata. At 500 orders, Addingwell and Analyzify are equal, while Littledata is 94% more expensive. For 5000 orders, Addingwell is 65% more than Analyzify but 76% cheaper than Littledata. At 20000 orders, Addingwell is 118% more than Analyzify and 69% cheaper than Littledata. Overall, Addingwell tends to be more expensive, especially at higher order volumes.
| Destination | Addingwell | Analyzify | Littledata |
|---|---|---|---|
| Google Analytics | ✔️ | ✔️ | ✔️ |
| Meta Ads | ✔️ | ✔️ | ✔️ |
| TikTok | ✔️ | ✔️ | ✔️ |
| Google Ads | ✔️ | ✔️ | ✔️ |
| ✔️ | ✔️ | ||
| Microsoft Ads | ✔️ | ✔️ | |
| Snap | ✔️ | ||
| Klaviyo | ✔️ | ||
| Segment | ✔️ | ||
| Attentive | ✔️ |
Key Difference: Breadth of Native Destinations
Addingwell covers 7 destinations, adding Pinterest, Snap, and Microsoft Ads beyond the basics — strong for paid social diversification.
Analyzify is the most limited at 4 destinations — solid core coverage but lacks Pinterest, Snap, Microsoft Ads, and CRM/CDP integrations.
Littledata leads with 9 destinations, uniquely offering Klaviyo, Segment, and Attentive — making it the only option with native CRM/CDP and SMS marketing connections, ideal if retention and owned-channel data are priorities.
Bottom line: Choose Analyzify for simplicity, Addingwell for paid social breadth, or Littledata if you need server-side data flowing into retention/CDP tools.
Addingwell vs Analyzify's solution for Google Analytics
| Feature | Addingwell | Analyzify | Littledata |
|---|---|---|---|
| Product list views & clicks | |||
| Tracks clicks on product list | ✔️ | ✔️ | |
| Tracks products list as you scroll | ✔️ | ||
| Consistent product identifier in GA4 | ✔️ | ||
| Add to Cart | |||
| Tracked client-side (missing ~50%) | ✔️ | ✔️ | |
| Tracked server-side | ✔️ | ||
| Enriched product info | ✔️ | ||
| Tracks remove from cart | ✔️ | ||
| Checkout steps | |||
| Tracked via checkout page (missing ~30%) | ✔️ | ✔️ | |
| Direct from Shopify servers | ✔️ | ||
| Compatible with accelerated checkouts | ✔️ | ||
| Tracks all checkout steps | ✔️ | ||
| Purchase | |||
| Direct from Shopify servers | ✔️ | ✔️ | |
| Tracked via thank you page | ✔️ | ||
| 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 | ✔️ | ||
Addingwell vs Analyzify: Both track purchases via the thank you page or checkout page respectively, but Analyzify's server-side Shopify data pipeline gives it an edge over Addingwell's client-side thank you page tracking — more reliable, less affected by ad blockers or browser issues. However, both share the same ~30% checkout tracking gap.
Why Littledata beats both: Littledata eliminates these weaknesses entirely with 100% server-side purchase accuracy, capturing what others miss — post-purchase upsells, recurring orders, and refunds. Its checkout tracking is fully server-side, compatible with checkout extensibility and accelerated checkouts. Add user-provided data for better attribution, sales channel filtering, and custom source/medium mapping, and Littledata is the clear choice for an analytics manager prioritizing data completeness.
Addingwell vs Analyzify's solution for Google Ads
| Feature | Addingwell | Analyzify | Littledata |
|---|---|---|---|
| Google Ads Conversions | |||
| Unreliable tracking via thank you page (missing ~30%) | ✔️ | ||
| Tracked direct from Shopify's servers | ✔️ | ||
| Real-time tracking of Enhanced Conversions | ✔️ | ||
| Fully automatic setup | ✔️ | ||
| New vs Returning conversions | ✔️ | ||
| Profit signal | ✔️ | ||
| Full Shopify Markets support | ✔️ | ||
Addingwell vs Analyzify's solution for Meta Ads
| Feature | Addingwell | Analyzify | 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 | |||
| Tracked direct from Shopify servers | ✔️ | ||
| InitiateCheckout | |||
| Includes all checkout steps | ✔️ | ||
| Tracked direct from Shopify servers | ✔️ | ||
| Purchase | |||
| Tracked direct from Shopify servers | ✔️ | ✔️ | |
| Unreliable tracking via thank you page (missing ~30%) | ✔️ | ||
| Includes post-purchase upsells | ✔️ | ||
| No-code custom conversions | ✔️ | ||
| New vs Returning conversion goals | ✔️ | ||
| Profit signal | ✔️ | ||
| Full Shopify Markets support | ✔️ | ||

How we compiled this comparison: pricing and feature data comes from each vendor's public pricing page, Shopify App Store listings, and BuiltWith usage data, reviewed by the Littledata team. Last verified July 10, 2026. Spotted something out of date? Let us know.