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

Triple Whale allows you to easily manage and automate analytics, attribution, merchandising, forecasting & more — in the palm of your hand.
| Feature | Blotout | Triple Whale | Littledata |
|---|---|---|---|
| Identity resolution to boost audiences | ✔️ | ✔️ | ✔️ |
| Customer data to marketing platforms | ✔️ | ✔️ | ✔️ |
| Founder owned and led | ✔️ | ✔️ | ✔️ |
| Direct from Shopify's servers | ✔️ | ✔️ | |
| Fully automatic, no code setup | ✔️ | ✔️ | |
| Works with platforms other than Shopify | ✔️ | ||
| Marketing reporting | ✔️ | ||
| Proprietary attribution model | ✔️ | ||
| 30 day free trial | ✔️ | ||
| Natively supports Shopify Markets | ✔️ | ||
| Automatic tracking of checkout steps | ✔️ |
Blotout vs Triple Whale vs Littledata
Blotout focuses on identity resolution and restoring lost marketing signals post-cookie, pulling data directly from Shopify's servers. However, it lacks native checkout tracking and no-code setup, making it more technical to implement.
Triple Whale excels at marketing reporting, attribution, and analytics with a no-code setup. However, it doesn't pull directly from Shopify's servers, meaning it relies on browser-based tracking — missing server-side events and limiting data completeness across the full customer journey.
Where Littledata wins:
| Blotout | Triple Whale | 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." | "Integration problem...can't install the store application. The system says I'm already using the app, but I can't log in. The chat on the website and email support does not answer. No help." | "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." | "Triple Whale’s customer service has been one of the worst experiences... Critical issues take days to resolve." | "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 | Triple Whale | Littledata |
|---|---|---|---|
| 50 orders / month | $79 | $259 | $39 |
| 500 orders / month | $400 | $259 | $199 |
| 5,000 orders / month | $1980 | $1129 | $449 |
| 20,000 orders / month | $5000 | $3500 | $1390 |
For 50 orders, Blotout is 103% more expensive than Littledata, while Triple Whale is 564% more expensive than Littledata. At 500 orders, Blotout and Triple Whale are equal, but Blotout is 168% more than Littledata. For 5000 orders, Blotout is 72% more than Triple Whale and 468% more than Littledata. At 20000 orders, Blotout is 43% more than Triple Whale and 526% more than Littledata. Littledata consistently remains the most affordable option across all order volumes.
| Destination | Blotout | Triple Whale | Littledata |
|---|---|---|---|
| Meta Ads | ✔️ | ✔️ | ✔️ |
| Klaviyo | ✔️ | ✔️ | ✔️ |
| Google Ads | ✔️ | ✔️ | ✔️ |
| Google Analytics | ✔️ | ✔️ | |
| Attentive | ✔️ | ✔️ | |
| TikTok | ✔️ | ||
| ✔️ | |||
| Segment | ✔️ | ||
| Microsoft Ads | ✔️ |
Blotout focuses on privacy-first, first-party data infrastructure with strong identity resolution across its destinations.
Triple Whale has the narrowest destination set, built primarily around its own attribution/analytics ecosystem — its native destinations are supplementary to its core dashboard, not the main value prop.
Littledata offers the broadest destination coverage (including TikTok, Pinterest, Microsoft Ads, and Segment), making it the most flexible for multi-channel brands needing server-side data piped into diverse ad platforms and CDPs.
Key differentiator: If you need Segment passthrough or emerging ad channels (TikTok/Pinterest/Microsoft), Littledata wins on breadth. If identity resolution and privacy compliance are priorities, Blotout stands out. Triple Whale's destinations are best viewed as add-ons to its attribution product.
| Feature | Blotout | Triple Whale | 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 | ✔️ | ||
Littledata pulls data directly from Shopify's servers, giving it a critical edge over both Blotout and Triple Whale.
vs. Blotout: Blotout lacks server-side Shopify integration, meaning checkout events require manual tagging, product views capture under 50% of identified customers, and Klaviyo fills with noisy emailless profiles. Littledata avoids all three issues automatically.
vs. Triple Whale: Same server-side disadvantages apply. While Triple Whale adds GDPR/CCPA opt-out docs, that's a compliance footnote — not a data quality solution.
Littledata's unique advantages go further: it boosts identity resolution using cross-channel cookies and backstitches profiles onto historical events, giving your Klaviyo segments richer, more accurate customer data from day one — something neither competitor offers.
| Feature | Blotout | Triple Whale | Littledata |
|---|---|---|---|
| Google Ads Conversions | |||
| Tracked direct from Shopify's servers | ✔️ | ✔️ | |
| Real-time tracking of Enhanced Conversions | ✔️ | ✔️ | |
| Fully automatic setup | ✔️ | ✔️ | |
| Unreliable tracking via thank you page | ✔️ | ||
| New vs Returning customer conversions | ✔️ | ||
| Feature | Blotout | Triple Whale | Littledata |
|---|---|---|---|
| Key benefits | |||
| Boost to Event Match Quality Score | ✔️ | ✔️ | ✔️ |
| Fully automatic setup | ✔️ | ✔️ | |
| 100% accurate revenue in Meta | ✔️ | ||
| Pre-purchase audiences based on first-party data | ✔️ | ||
| Target subscriptions vs one-time purchases | ✔️ | ||
| 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 | ✔️ | ||
