
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 | Upstack Data | Littledata |
|---|---|---|
| 30 day free trial | ✔️ | ✔️ |
| Identity resolution to boost audiences | ✔️ | ✔️ |
| Founder owned and led | ✔️ | ✔️ |
| Fully automatic, no code setup | ✔️ | ✔️ |
| Customer data to marketing platforms | ✔️ | ✔️ |
| Direct from Shopify's servers | ✔️ | ✔️ |
| Marketing reporting | ✔️ | |
| Proprietary attribution model | ✔️ | |
| Natively supports Shopify Markets | ✔️ | |
| Automatic tracking of checkout steps | ✔️ |
Upstack Data offers comprehensive marketing reporting and a proprietary attribution model, enhancing data accuracy and decision-making. It centralizes analytics from various platforms, streamlining data collection. In contrast, Littledata excels with automatic tracking of checkout steps and server-side tracking, which integrates seamlessly with GA4, Meta Ads, and Klaviyo. Both platforms provide a 30-day free trial and are founder-led, but Littledata's focus on modern Shopify tracking and quick setup in under 10 minutes gives it an edge for users seeking efficient implementation and detailed checkout insights.
| Upstack Data | 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..." | "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." | "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 | Littledata |
|---|---|---|
| 50 orders / month | $299 | $39 |
| 500 orders / month | $299 | $199 |
| 5,000 orders / month | $599 | $449 |
| 20,000 orders / month | $999 | $1390 |
For an online store with 50 orders per month, Upstack Data is 664% more expensive than Littledata. At 500 orders, Upstack Data and Littledata are equal, while the second Littledata is 50% cheaper. For 5000 orders, Upstack Data is 33% more than the first Littledata and 71% more than the second. At 20000 orders, Upstack Data is 28% cheaper than Littledata but 25% more than the second Littledata. Overall, Upstack Data consistently costs more than Littledata.
| Destination | Upstack Data | Littledata |
|---|---|---|
| Meta Ads | ✔️ | ✔️ |
| TikTok | ✔️ | ✔️ |
| Klaviyo | ✔️ | ✔️ |
| Google Ads | ✔️ | ✔️ |
| Google Analytics | ✔️ | |
| ✔️ | ||
| Segment | ✔️ | |
| Attentive | ✔️ |
Upstack Data focuses on integrating with major advertising platforms like Meta Ads, TikTok, and Google Ads, primarily for optimizing ad performance and tracking conversions. In contrast, Littledata offers a broader range of data destinations, including Google Analytics and additional marketing platforms like Pinterest and Segment, allowing for more comprehensive analytics and customer insights. Littledata's integration with Google Analytics enables enhanced tracking and reporting capabilities, while Upstack Data emphasizes direct ad performance metrics.
| Feature | Upstack Data | Littledata |
|---|---|---|
| Identity resolution | ||
| Never adds new emails to your marketing list | ✔️ | ✔️ |
| Docs on how an end-user can opt out for GDPR / CCPA | ✔️ | |
| Uses other marketing channel cookies to boost identity | ✔️ | |
| Backstitches Klaviyo profile onto previous customer events | ✔️ | |
| 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 | ||
| Tracked via the checkout page | ✔️ | |
| Direct from Shopify's servers | ✔️ | |
| Backwards compatible with Klaviyo templates | ✔️ | |
Littledata offers comprehensive benefits for tracking customers from Shopify to Klaviyo, particularly with its focus on compliance and identity enhancement. Its documentation for GDPR/CCPA opt-out ensures legal adherence, while the ability to backstitch Klaviyo profiles onto previous customer events provides a complete view of customer interactions. Additionally, Littledata's use of other marketing channel cookies enhances identity resolution, making it more effective in understanding customer behavior. In contrast, Upstack Data lacks these compliance features and identity-boosting capabilities, making Littledata a superior choice for brands prioritizing customer data integrity and comprehensive tracking.
| Feature | Upstack Data | Littledata |
|---|---|---|
| Google Ads Conversions | ||
| Real-time tracking of Enhanced Conversions | ✔️ | ✔️ |
| Fully automatic setup | ✔️ | ✔️ |
| Tracked direct from Shopify's servers | ✔️ | |
| New vs Returning customer conversions | ✔️ | |
| Feature | 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 | ✔️ | |
