
Blotout restores your marketing signals in the post-cookie world. Your returning customers are showing up as anonymous and Blotout aims to identify them.

| Feature | Blotout | Littledata |
|---|---|---|
| Identity resolution to boost audiences | ✔️ | ✔️ |
| Direct from Shopify's servers | ✔️ | ✔️ |
| Customer data to marketing platforms | ✔️ | ✔️ |
| Founder owned and led | ✔️ | ✔️ |
| Works with platforms other than Shopify | ✔️ | |
| 30 day free trial | ✔️ | |
| Fully automatic, no code setup | ✔️ | |
| Natively supports Shopify Markets | ✔️ | |
| Automatic tracking of checkout steps | ✔️ |
Blotout vs. Littledata for Shopify Plus
Both focus on server-side tracking and identity resolution to recover lost signals in a cookieless world. Blotout specializes in re-identifying anonymous returning customers and feeds enriched data to marketing platforms — solid for audience rebuilding.
Where Littledata wins:
For a Shopify Plus ecommerce manager wanting fast deployment, complete funnel visibility, and lower risk (free trial), Littledata offers a more turnkey solution without sacrificing data depth.
| Blotout | Littledata | |
|---|---|---|
| Example product review | "After using Blotout for a couple months, we decided to drop them... Blotout was taking credit for a lot of Klaviyo pixel events that would’ve happened anyway... Event match quality in Facebook was marginally better, but I don’t think it warrants the cost or complexity." | "We were having difficulties with accurate and consistent revenue attribution...With Littledata implemented, we now get consistent and accurate revenue attribution." |
| Example support review | "It took weeks to get a reply regarding a refund... it seems they grew too fast to keep up with customer service." | "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 | Blotout | Littledata |
|---|---|---|
| 50 orders / month | $79 | $39 |
| 500 orders / month | $400 | $199 |
| 5,000 orders / month | $1980 | $449 |
| 20,000 orders / month | $5000 | $1390 |
For an online store with 50 orders, Blotout is 102.6% more expensive than Littledata. At 500 orders, Blotout is 0% more expensive than Littledata, while the second Littledata option is 62.5% cheaper. For 5000 orders, Blotout is 341.6% more expensive than the first Littledata and 467.6% more than the second. At 20000 orders, Blotout is 259.5% more expensive than the first Littledata and 526.4% more than the second.
| Destination | Blotout | Littledata |
|---|---|---|
| Google Analytics | ✔️ | ✔️ |
| Meta Ads | ✔️ | ✔️ |
| Klaviyo | ✔️ | ✔️ |
| Google Ads | ✔️ | ✔️ |
| Attentive | ✔️ | ✔️ |
| TikTok | ✔️ | |
| ✔️ | ||
| Segment | ✔️ | |
| Microsoft Ads | ✔️ |
Littledata supports a broader range of destinations, adding TikTok, Pinterest, Segment, and Microsoft Ads — making it stronger for multi-channel paid social and data warehousing use cases.
Blotout's destination set is more limited, covering only the core channels (GA, Meta, Google Ads, Klaviyo, Attentive).
Key practical difference: If you're running campaigns on TikTok or Pinterest, or routing data through Segment to downstream tools, Littledata covers those natively. Blotout is better suited for brands focused strictly on the major platforms, potentially prioritizing its privacy/identity resolution capabilities over destination breadth.
| Feature | Blotout | Littledata |
|---|---|---|
| Product list views & clicks | ||
| Tracks products list as you scroll | ✔️ | |
| Tracks clicks on product list | ✔️ | |
| Consistent product identifier in GA4 | ✔️ | |
| Add to Cart | ||
| Tracked client-side | ✔️ | |
| Tracked server-side | ✔️ | |
| Enriched product info | ✔️ | |
| Tracks remove from cart | ✔️ | |
| Checkout steps | ||
| Tracked direct from Shopify's servers | ✔️ | |
| Compatible with checkout extensibility | ✔️ | |
| Compatible with accelerated checkouts | ✔️ | |
| Tracks all checkout steps | ✔️ | |
| 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 | ✔️ | |
Blotout's purchase tracking for Google Analytics focuses on privacy and does not add new emails to marketing lists, which may limit customer engagement opportunities. In contrast, Littledata offers comprehensive server-side tracking for 100% accuracy, including features like post-purchase upsells, recurring orders, and refunds. It also allows filtering by sales channel and utilizes user-provided data for better attribution, along with custom mapping to source/medium. Overall, Littledata provides a more robust and detailed tracking solution, enhancing marketing effectiveness and customer insights compared to Blotout's more privacy-centric approach.
| Feature | Blotout | 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 | ✔️ | |
| 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 | ||
| Tracked via the checkout page | ✔️ | |
| Direct from Shopify's servers | ✔️ | |
| Backwards compatible with Klaviyo templates | ✔️ | |
Blotout only matches Littledata on one benefit (no new emails added), missing identity boosting via marketing channel cookies and profile backstitching onto historical events.
Critically, Blotout doesn't pull data directly from Shopify's servers — meaning you'll face significant noise from emailless profiles in Klaviyo, require manual tagging to capture checkout events, and Product Viewed will identify fewer than 50% of customers.
Littledata's server-side Shopify connection eliminates all three of these drawbacks, while its cookie-based identity resolution and backstitching ensure richer, more complete customer profiles from day one.
| Feature | Blotout | Littledata |
|---|---|---|
| Google Ads Conversions | ||
| Unreliable tracking via thank you page | ✔️ | |
| Tracked direct from Shopify's servers | ✔️ | |
| Real-time tracking of Enhanced Conversions | ✔️ | |
| Fully automatic setup | ✔️ | |
| New vs Returning customer conversions | ✔️ | |
| Feature | Blotout | 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 | ✔️ | |
