Wetracked claims to be the only solution that pushes 100% accurate data into your ads manager.

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.
| Feature | Wetracked | Upstack Data | Littledata |
|---|---|---|---|
| Identity resolution to boost audiences | ✔️ | ✔️ | ✔️ |
| Customer data to marketing platforms | ✔️ | ✔️ | ✔️ |
| Fully automatic, no code setup | ✔️ | ✔️ | ✔️ |
| Founder owned and led | ✔️ | ✔️ | ✔️ |
| Direct from Shopify's servers | ✔️ | ✔️ | ✔️ |
| 30 day free trial | ✔️ | ✔️ | |
| Marketing reporting | ✔️ | ||
| Proprietary attribution model | ✔️ | ||
| Natively supports Shopify Markets | ✔️ | ||
| Automatic tracking of checkout steps | ✔️ |
Wetracked vs Upstack Data vs Littledata
Wetracked focuses on ad accuracy, claiming 100% accurate data pushed to ads managers. It covers identity resolution and customer data to marketing platforms with no-code setup, but lacks marketing reporting, attribution modeling, or a free trial.
Upstack Data adds meaningful depth: a proprietary attribution model, marketing reporting, and a 30-day free trial — making it stronger for broader analytics decisions beyond just ad platforms. It matches Wetracked on core data pipeline features.
Where Littledata wins over both: Neither competitor natively supports Shopify Markets or offers automatic checkout step tracking — critical for Plus brands running international storefronts or optimizing conversion funnels. Littledata also pulls direct from Shopify's servers, ensuring complete event capture including server-side checkout events the browser never sees. This means no data gaps from ad blockers, iOS restrictions, or GTM limitations — giving you a more reliable, complete customer journey view than either alternative.
| Wetracked | Upstack Data | Littledata | |
|---|---|---|---|
| Example product review | 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. | "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..." | "We were having difficulties with accurate and consistent revenue attribution...With Littledata implemented, we now get consistent and accurate revenue attribution." |
| Example support review | Tracking looks improved the last 2-3 days. Support has never replied to me :-( even after days of waiting and 3 emails & reminders. | "Support is second to none... any issues we've had Michael has arranged a call immediately to diagnose the issue." | "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 | Wetracked | Upstack Data | Littledata |
|---|---|---|---|
| 50 orders / month | $49 | $299 | $39 |
| 500 orders / month | $149 | $299 | $199 |
| 5,000 orders / month | $249 | $599 | $449 |
| 20,000 orders / month | $670 | $999 | $1390 |
For 50 orders per month, Wetracked is 25% more expensive than Littledata, while Upstack Data is 666% more expensive than Wetracked. At 500 orders, all three services cost the same. For 5000 orders, Wetracked is 42% cheaper than Littledata, while Upstack Data is 140% more expensive than Wetracked. At 20000 orders, Wetracked is 16% cheaper than Littledata, and Upstack Data is 49% more expensive than Wetracked. Overall, Wetracked tends to be the most cost-effective option.
| Destination | Wetracked | Upstack Data | Littledata |
|---|---|---|---|
| Klaviyo | ✔️ | ✔️ | ✔️ |
| Meta Ads | ✔️ | ✔️ | ✔️ |
| Google Ads | ✔️ | ✔️ | ✔️ |
| TikTok | ✔️ | ✔️ | ✔️ |
| ✔️ | ✔️ | ||
| Snap | ✔️ | ||
| Google Analytics | ✔️ | ||
| Segment | ✔️ | ||
| Attentive | ✔️ | ||
| Microsoft Ads | ✔️ |
Key Difference:
Wetracked and Upstack Data offer a focused set of paid social + email destinations, with Wetracked adding Snap and Pinterest over Upstack.
Littledata has the broadest destination coverage, uniquely including Google Analytics, Segment (enabling downstream data routing to hundreds of tools), Attentive (SMS marketing), and Microsoft Ads — making it the strongest choice if you need analytics-grade data, multi-channel attribution, or want to feed a broader martech stack beyond just ad platforms and Klaviyo.
If your needs are strictly ad platform signal improvement + Klaviyo enrichment, all three overlap significantly. Littledata wins on ecosystem breadth.
| Feature | Wetracked | Upstack Data | Littledata |
|---|---|---|---|
| Identity resolution | |||
| Uses other marketing channel cookies to boost identity | ✔️ | ✔️ | |
| Never adds new emails to your marketing list | ✔️ | ✔️ | |
| 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 pulls data directly from Shopify's servers, giving it a critical edge over both alternatives:
vs. Wetracked – Wetracked doesn't protect your list from new email additions, and without server-side data, you'll get noisy Klaviyo profiles without emails, under-50% Product Viewed identification, and manual checkout tagging requirements.
vs. Upstack Data – While Upstack avoids adding new emails, it shares the same server-side gaps: poor Product Viewed capture, checkout setup friction, and profile noise.
Littledata combines all three key benefits — list protection, multi-channel cookie boosting, and profile backstitching — on a server-side foundation, ensuring clean data, full checkout tracking, and maximum customer identification without the compromises.
| Feature | Wetracked | Upstack Data | 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 | Wetracked | Upstack Data | 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 | ✔️ | ||
