
Blotout restores your marketing signals in the post-cookie world. Your returning customers are showing up as anonymous and Blotout aims to identify them.
Elevar ensures that 100% of your conversions are tracked and delivered to your marketing channels using Google Tag Manager and server-side tracking. Since the company was acquired by Buxton (now Audiense) the product has been merged into a wider analytics and segmentation tool.
Switching from Elevar? You get more for less with Littledata.
| Feature | Blotout | Elevar | Littledata |
|---|---|---|---|
| Identity resolution to boost audiences | ✔️ | ✔️ | ✔️ |
| Direct from Shopify's servers | ✔️ | ✔️ | ✔️ |
| Customer data to marketing platforms | ✔️ | ✔️ | ✔️ |
| Founder owned and led | ✔️ | ✔️ | |
| Natively supports Shopify Markets | ✔️ | ✔️ | |
| Works with platforms other than Shopify | ✔️ | ||
| Via server-side Google Tag Manager | ✔️ | ||
| 30 day free trial | ✔️ | ||
| Fully automatic, no code setup | ✔️ | ||
| Automatic tracking of checkout steps | ✔️ | ||
| Built For Shopify | ✔️ |
Blotout and Elevar share core capabilities with Littledata — identity resolution, server-side data from Shopify, and marketing platform integrations. However, there are meaningful differences:
Blotout focuses specifically on re-identifying anonymous returning customers to restore lost marketing signals. It lacks native Shopify Markets support and has a smaller ecosystem than the alternatives.
Elevar routes data via server-side Google Tag Manager — but GTM still depends on browser-side tags, limiting its ability to capture the full customer journey or enrich events with server-level data the browser never sees.
Where Littledata wins:
How Blotout and Elevar collect, enrich and control Shopify tracking data
| Capability | Blotout | Elevar | Littledata |
|---|---|---|---|
| Setup and maintenance | |||
| Turnkey setup; no implementation cost | ✔️ | ✔️ | ✔️ |
| Zero ongoing maintenance | ✔️ | ✔️ | ✔️ |
| Data and tracking features | |||
| Server-side tracking | ✔️ | ✔️ | |
| Persistent ID | ✔️ | ✔️ | |
| Bot protection | ✔️ | ✔️ | |
| Shop app & Shop Pay | ✔️ | ✔️ | |
| Event Editor | ✔️ | ✔️ | |
| Profit signal | ✔️ | ✔️ | |
| No-code setup (no GTM required) | ✔️ | ||
| Session Enrichment | ✔️ | ||
| Unlimited Shopify Markets | ✔️ | ||
| Headless / Hydrogen support | ✔️ | ||
| Subscription app tracking | ✔️ | ||
| Privacy / consent app compatible | ✔️ | ||
Blotout vs Elevar's customer reviews
| Blotout | Elevar | 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." | "They continue to charge you after uninstalling and cancelling your plan...made absolutely 0 impact to my tracking." | "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." | "Awful support. I am now $700 in charges without even using the stupid thing because it made absolutely 0 impact." | "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 | Read more reviews | Read more reviews |
Blotout vs Elevar's monthly subscription cost
| Store size | Blotout | Elevar | Littledata |
|---|---|---|---|
| 50 orders / month | $79 | $225 | $39 |
| 500 orders / month | $400 | $650 | $175 |
| 5,000 orders / month | $1980 | $650 | $540 |
| 20,000 orders / month | $5000 | $1250 | $1390 |
Sources: Blotout pricing, Elevar pricing, Littledata pricing. Prices last verified July 22, 2026.
| Destination | Blotout | Elevar | Littledata |
|---|---|---|---|
| Google Analytics | ✔️ | ✔️ | ✔️ |
| Meta Ads | ✔️ | ✔️ | ✔️ |
| Klaviyo | ✔️ | ✔️ | ✔️ |
| Google Ads | ✔️ | ✔️ | ✔️ |
| Attentive | ✔️ | ✔️ | ✔️ |
| ✔️ | ✔️ | ||
| TikTok | ✔️ | ✔️ | |
| Microsoft Ads | ✔️ | ✔️ | |
| Segment | ✔️ |
The core difference lies in breadth and flexibility:
Blotout has the most limited destination set — no Pinterest, TikTok, or Microsoft Ads, making it less suitable if you run diversified paid media.
Elevar adds Pinterest, TikTok, and Microsoft Ads over Blotout, covering a broader paid media mix.
Littledata matches Elevar's destinations but uniquely adds Segment, making it the strongest choice if you want a CDP layer to route clean, server-side data to additional downstream tools beyond the standard ad/email platforms.
If your stack is Google/Meta/email-focused, all three work. If you need TikTok/Pinterest/Microsoft, eliminate Blotout. If you need a CDP pipeline, Littledata is the standout.
Blotout vs Elevar's solution for Google Analytics
| Feature | Blotout | Elevar | 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 server-side | ✔️ | ✔️ | |
| Enriched product info | ✔️ | ✔️ | |
| Tracks remove from cart | ✔️ | ✔️ | |
| Tracked client-side (missing ~50%) | ✔️ | ||
| Checkout steps | |||
| Compatible with accelerated checkouts | ✔️ | ✔️ | |
| Direct from Shopify servers | ✔️ | ✔️ | |
| Tracks all checkout steps | ✔️ | ✔️ | |
| Purchase | |||
| Direct from Shopify servers | ✔️ | ✔️ | ✔️ |
| Includes post-purchase upsells | ✔️ | ✔️ | |
| Includes recurring orders | ✔️ | ✔️ | |
| Filter orders by sales channel | ✔️ | ✔️ | |
| Includes refunds | ✔️ | ✔️ | |
| Tracked via thank you page | ✔️ | ||
| User-provided data for improved attribution | ✔️ | ||
| Includes net revenue / profit | ✔️ | ||
Blotout's purchase tracking for Google Analytics focuses on privacy and does not add new emails to marketing lists, which may limit customer engagement. In contrast, Elevar and Littledata both offer server-side tracking for 100% accuracy, including features like post-purchase upsells, recurring orders, and refunds. Elevar tracks client-side, while Littledata enhances attribution with user-provided data and custom mapping. Overall, Blotout prioritizes privacy over comprehensive tracking features, whereas Elevar and Littledata provide robust tracking capabilities with additional marketing insights.
Blotout vs Elevar's solution for Klaviyo
| Feature | Blotout | Elevar | Littledata |
|---|---|---|---|
| Identity resolution | |||
| Never adds emails to your list without consent | ✔️ | ✔️ | ✔️ |
| Uses other marketing channel cookies to boost identity | ✔️ | ||
| Backstitches Klaviyo profile onto previous customer events | ✔️ | ||
| Klaviyo Preferred Partner | ✔️ | ||
| Viewed Product trigger | |||
| Backwards compatible with Klaviyo templates | ✔️ | ✔️ | |
| Tracked server-side | ✔️ | ✔️ | |
| Tracked client-side | ✔️ | ||
| Enriched product info (e.g. category) | ✔️ | ||
| Added to Cart trigger | |||
| Direct from Shopify servers | ✔️ | ✔️ | |
| Enriched product info (e.g. category) | ✔️ | ✔️ | |
| Backwards compatible with Klaviyo templates | ✔️ | ✔️ | |
| Unreliable tracking of button clicks | ✔️ | ||
| Target the whole contents of the cart | ✔️ | ||
| Checkout Started trigger | |||
| Tracked via the checkout page | ✔️ | ||
| Direct from Shopify servers | ✔️ | ||
| Backwards compatible with Klaviyo templates | ✔️ | ||
Both Blotout and Elevar share the same consent-based approach — neither adds emails to Klaviyo without explicit opt-in, protecting list quality and compliance.
However, neither appears to be Littledata, which offers meaningful advantages beyond consent management. Littledata never adds new emails to your marketing list, uses cross-channel marketing cookies to boost identity resolution, and uniquely backstitches Klaviyo profiles onto historical customer events — giving you richer, retroactive data.
Since neither Blotout nor Elevar offers Direct from Shopify Servers tracking, both carry significant drawbacks: inflated Active Profiles from email-less records, checkout events requiring manual tagging setup, and Product Viewed events capturing fewer than 50% of identified customers — limiting segmentation accuracy and automation performance in Klaviyo.
Blotout vs Elevar's solution for Google Ads
| Feature | Blotout | Elevar | Littledata |
|---|---|---|---|
| Google Ads Conversions | |||
| Tracked direct from Shopify's servers | ✔️ | ✔️ | |
| New vs Returning conversions | ✔️ | ✔️ | |
| Profit signal | ✔️ | ✔️ | |
| Unreliable tracking via thank you page (missing ~30%) | ✔️ | ||
| Real-time tracking of Enhanced Conversions | ✔️ | ||
| Fully automatic setup | ✔️ | ||
| Full Shopify Markets support | ✔️ | ||
Blotout vs Elevar's solution for Meta Ads
| Feature | Blotout | Elevar | Littledata |
|---|---|---|---|
| Key benefits | |||
| Boost to Event Match Quality Score | ✔️ | ✔️ | ✔️ |
| 100% accurate revenue in Meta | ✔️ | ✔️ | |
| Pre-purchase audiences based on first-party data | ✔️ | ✔️ | |
| Fully automatic setup | ✔️ | ✔️ | |
| Target subscriptions vs one-time purchases | ✔️ | ||
| AddToCart | |||
| Tracked client-side (missing ~50%) | ✔️ | ||
| Tracked direct from Shopify servers | ✔️ | ||
| InitiateCheckout | |||
| Includes all checkout steps | ✔️ | ✔️ | |
| Unreliable tracking via checkout page (missing ~30%) | ✔️ | ||
| Tracked direct from Shopify servers | ✔️ | ||
| Purchase | |||
| Tracked direct from Shopify servers | ✔️ | ✔️ | ✔️ |
| Includes post-purchase upsells | ✔️ | ✔️ | |
| New vs Returning conversion goals | ✔️ | ✔️ | |
| Profit signal | ✔️ | ✔️ | |
| Full Shopify Markets support | ✔️ | ✔️ | |
| No-code custom conversions | ✔️ | ||

Keep comparing
See how these tools stack up against other Shopify tracking and analytics solutions.
How we compiled this comparison: pricing and feature data comes from each vendor's public pricing page, Shopify App Store listings, and BuiltWith usage data, reviewed by the Littledata team. Last verified August 14, 2026. Spotted something out of date? Let us know.