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

Polar is a pre-built dashboard for commerce with out-of-the-box metrics and reports to ensure your team has the insights to get their jobs done.
| Feature | Blotout | Polar Analytics | Littledata |
|---|---|---|---|
| Identity resolution to boost audiences | ✔️ | ✔️ | ✔️ |
| Customer data to marketing platforms | ✔️ | ✔️ | ✔️ |
| Founder owned and led | ✔️ | ✔️ | ✔️ |
| Direct from Shopify's servers | ✔️ | ✔️ | |
| Works with platforms other than Shopify | ✔️ | ||
| Marketing reporting | ✔️ | ||
| Proprietary attribution model | ✔️ | ||
| 30 day free trial | ✔️ | ||
| Fully automatic, no code setup | ✔️ | ||
| Natively supports Shopify Markets | ✔️ | ||
| Automatic tracking of checkout steps | ✔️ |
Blotout focuses on restoring marketing signals in a post-cookie world by identifying returning customers, directly integrating with Shopify's servers. Polar Analytics offers a pre-built dashboard with proprietary attribution and marketing reporting, providing insights for teams. While both Blotout and Polar emphasize identity resolution and customer data integration, Littledata stands out with its 30-day free trial, fully automatic no-code setup, and server-side tracking, which simplifies implementation and enhances tracking of checkout steps, making it a more user-friendly option for ecommerce managers.
| Blotout | Polar Analytics | 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." | "Negative points? None so far ... Getting started was incredibly easy ... integrates smoothly with all our tools and data sources." | "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." | "Polar's customer support is also next to none... they are well worth the price we pay." | "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 | Polar Analytics | Littledata |
|---|---|---|---|
| 50 orders / month | $79 | $400 | $39 |
| 500 orders / month | $400 | $720 | $199 |
| 5,000 orders / month | $1980 | $1020 | $449 |
| 20,000 orders / month | $5000 | $2770 | $1390 |
For an online store with 50 orders, Blotout is 102.6% more expensive than Littledata, while Polar Analytics is 923.1% more expensive than Littledata. At 500 orders, Blotout and Polar Analytics are equal, with Littledata being 62.5% cheaper than both. For 5000 orders, Blotout is 94.1% more expensive than Littledata, while Polar Analytics is 192.3% cheaper than Blotout. At 20000 orders, Blotout is 543.4% more expensive than Littledata, and Polar Analytics is 253.4% cheaper than Blotout.
| Destination | Blotout | Polar Analytics | Littledata |
|---|---|---|---|
| Meta Ads | ✔️ | ✔️ | ✔️ |
| Klaviyo | ✔️ | ✔️ | ✔️ |
| Google Ads | ✔️ | ✔️ | ✔️ |
| Google Analytics | ✔️ | ✔️ | |
| Attentive | ✔️ | ✔️ | |
| TikTok | ✔️ | ✔️ | |
| ✔️ | |||
| Segment | ✔️ |
Blotout focuses on privacy-centric server-side tracking, integrating with major platforms like Google Analytics, Meta Ads, Klaviyo, Google Ads, and Attentive, allowing for comprehensive data collection while ensuring user privacy. Polar Analytics offers a similar approach but includes TikTok as a key destination, catering to brands targeting that audience. Littledata provides a broader range of integrations, including Pinterest and Segment, alongside the others, enhancing data connectivity and analysis capabilities. The main difference lies in the specific platforms supported and the emphasis on privacy versus data breadth.
| Feature | Blotout | Polar Analytics | 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 | ✔️ | ||
| 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 offers unique advantages for tracking customers from Shopify to Klaviyo. Its comprehensive documentation on GDPR/CCPA opt-out ensures compliance, which is crucial for customer trust. Unlike Blotout and Polar Analytics, Littledata backstitches Klaviyo profiles onto previous customer events, providing a complete view of customer interactions. This feature enhances segmentation and targeting, leading to more effective marketing campaigns. Additionally, Littledata's use of other marketing channel cookies to boost identity further improves data accuracy and customer insights, making it a superior choice for CRM management compared to Blotout and Polar Analytics.
| Feature | Blotout | Polar Analytics | Littledata |
|---|---|---|---|
| Google Ads Conversions | |||
| Real-time tracking of Enhanced Conversions | ✔️ | ✔️ | |
| Unreliable tracking via thank you page | ✔️ | ||
| Tracked direct from Shopify's servers | ✔️ | ||
| Fully automatic setup | ✔️ | ||
| New vs Returning customer conversions | ✔️ | ||
| Feature | Blotout | Polar Analytics | 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 | ✔️ | ||
