
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.
Wetracked claims to be the only solution that pushes 100% accurate data into your ads manager.
| Feature | Upstack Data | Wetracked | Littledata |
|---|---|---|---|
| Identity resolution to boost audiences | ✔️ | ✔️ | ✔️ |
| Founder owned and led | ✔️ | ✔️ | ✔️ |
| Fully automatic, no code setup | ✔️ | ✔️ | ✔️ |
| Customer data to marketing platforms | ✔️ | ✔️ | ✔️ |
| Direct from Shopify's servers | ✔️ | ✔️ | ✔️ |
| 30 day free trial | ✔️ | ✔️ | |
| Marketing reporting | ✔️ | ||
| Proprietary attribution model | ✔️ | ||
| Natively supports Shopify Markets | ✔️ | ||
| Automatic tracking of checkout steps | ✔️ |
Upstack Data offers the most complete package of the three, adding marketing reporting and a proprietary attribution model — useful if you want consolidated analytics beyond raw data piping. Its 30-day free trial also reduces purchase risk.
Wetracked is more narrowly focused on pushing accurate data to ad platforms, claiming 100% accuracy. It lacks attribution modeling or broader marketing reporting.
Where Littledata wins over both:
All three pull direct from Shopify's servers, so data completeness is comparable. However, Littledata's checkout step tracking and Shopify Markets support make it the strongest fit for a scaling Shopify Plus brand with complex storefronts.
| Upstack Data | Wetracked | Littledata | |
|---|---|---|---|
| Example product review | "After testing a number of platforms...absolutely no regrets. Michael has a truly deep technical knowledge...Event Quality Match scores in meta increase, adding reliable NC purchase, NC CPA and NC ROAS metrics in ad manager is massively helpful as we're very focused on optimizing for NC..." | they got me in as they said it was better and cheaper then Triple whale, but really all it is, is some code on the back end you can not track or even see the results you still need to use the meta and good dash boards. | "We were having difficulties with accurate and consistent revenue attribution...With Littledata implemented, we now get consistent and accurate revenue attribution." |
| Example support review | "Support is second to none... any issues we've had Michael has arranged a call immediately to diagnose the issue." | Tracking looks improved the last 2-3 days. Support has never replied to me :-( even after days of waiting and 3 emails & reminders. | "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 | Upstack Data | Wetracked | Littledata |
|---|---|---|---|
| 50 orders / month | $299 | $49 | $39 |
| 500 orders / month | $299 | $149 | $199 |
| 5,000 orders / month | $599 | $249 | $449 |
| 20,000 orders / month | $999 | $670 | $1390 |
For 50 orders, Upstack Data is 510% more expensive than Wetracked and 664% more than Littledata. At 500 orders, Upstack Data and Wetracked are equal, while Littledata is 50% cheaper than both. For 5000 orders, Upstack Data is 140% more than Wetracked and 71% more than Littledata. Finally, at 20000 orders, Upstack Data is 49% more expensive than Wetracked and 25% more than Littledata. Overall, Upstack Data consistently has the highest pricing across all order volumes.
| Destination | Upstack Data | Wetracked | Littledata |
|---|---|---|---|
| Meta Ads | ✔️ | ✔️ | ✔️ |
| TikTok | ✔️ | ✔️ | ✔️ |
| Klaviyo | ✔️ | ✔️ | ✔️ |
| Google Ads | ✔️ | ✔️ | ✔️ |
| ✔️ | ✔️ | ||
| Snap | ✔️ | ||
| Google Analytics | ✔️ | ||
| Segment | ✔️ | ||
| Attentive | ✔️ | ||
| Microsoft Ads | ✔️ |
The main difference lies in breadth of integrations:
Upstack Data offers the most limited set (4 destinations), covering only the core ad platforms and Klaviyo — no emerging or secondary channels.
Wetracked adds Snap and Pinterest, making it stronger for brands running diversified paid social campaigns.
Littledata has the widest coverage (9 destinations), uniquely including Google Analytics, Segment, Attentive, and Microsoft Ads — making it the best fit if you need analytics/data warehousing (Segment, GA4) or additional owned channels (Attentive SMS) alongside ad platform tracking.
Bottom line: If your stack goes beyond Meta/TikTok/Google, Littledata offers the most flexibility for a mature Shopify Plus tech stack.
| Feature | Upstack Data | Wetracked | Littledata |
|---|---|---|---|
| Identity resolution | |||
| Never adds new emails to your marketing list | ✔️ | ✔️ | |
| Uses other marketing channel cookies to boost identity | ✔️ | ✔️ | |
| Docs on how an end-user can opt out for GDPR / CCPA | ✔️ | ||
| Backstitches Klaviyo profile onto previous customer events | ✔️ | ||
| Direct from Shopify's servers | ✔️ | ||
| Viewed Product trigger | |||
| Tracked client-side | ✔️ | ||
| Tracked server-side | ✔️ | ||
| Enriched product info (e.g. category) | ✔️ | ||
| Backwards compatible with Klaviyo templates | ✔️ | ||
| Added to Cart trigger | |||
| Unreliable tracking of button clicks | ✔️ | ✔️ | |
| Reliable via Shopify's servers | ✔️ | ||
| Enriched product info (e.g. category) | ✔️ | ||
| Backwards compatible with Klaviyo templates | ✔️ | ||
| Target the whole contents of the cart | ✔️ | ||
| Checkout Started trigger | |||
| Direct from Shopify's servers | ✔️ | ✔️ | |
| Tracked via the checkout page | ✔️ | ||
| Backwards compatible with Klaviyo templates | ✔️ | ||
Littledata outperforms both alternatives by combining all three key benefits in one solution.
vs. Upstack Data: Upstack avoids adding new emails, but without server-side tracking, it creates noisy Klaviyo profiles lacking emails, requires manual checkout event tagging, and captures under 50% of identified customers on Product Viewed events.
vs. Wetracked: Wetracked boosts identity via cross-channel cookies, but shares the same server-side gaps — cluttered profiles, manual checkout setup, and weak Product Viewed identification.
Littledata's edge: It delivers all three benefits simultaneously — clean list hygiene, cross-channel identity boosting, and backstitching historical Klaviyo profiles — while sending data directly from Shopify's servers, eliminating noise, automating checkout tracking, and maximizing customer identification rates.
| Feature | Upstack Data | Wetracked | Littledata |
|---|---|---|---|
| Google Ads Conversions | |||
| Real-time tracking of Enhanced Conversions | ✔️ | ✔️ | |
| Fully automatic setup | ✔️ | ✔️ | |
| Unreliable tracking via thank you page | ✔️ | ||
| Tracked direct from Shopify's servers | ✔️ | ||
| New vs Returning customer conversions | ✔️ | ||
| Feature | Upstack Data | Wetracked | Littledata |
|---|---|---|---|
| Key benefits | |||
| Boost to Event Match Quality Score | ✔️ | ✔️ | ✔️ |
| 100% accurate revenue in Meta | ✔️ | ✔️ | |
| 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 | ✔️ | ||
