Your prospecting leaks existing customers. Last click attribution funds Google at Meta's expense. ROAS hides margin erosion. Blotout gives you signal-level control over how ad platforms learn, so every dollar drives real growth.
Walk through a live demo with our team. We'll show you how Blotout gives you control over prospecting, attribution, and profit optimization across Meta, Google, TikTok, and 50+ channels.
You're optimizing creative, testing audiences, and scaling spend. But the algorithm is learning from signals that don't reflect reality.
A customer finds you on Meta, then Googles your brand name. Last click gives Google full credit. Brand search ends up cannibalizing Meta's contribution, and you shift budget allocation from the channel creating demand to the one closing it.
A $100 order at 65% COGS and one at 45% COGS look identical to your ROAS. The algorithm chases low-margin volume while contribution margin on ad spend quietly erodes. You need to optimize for profit, not revenue.
A first-party identity graph for ecommerce resolves every visitor, then shapes what each platform's algorithm learns from.
The first-party identity graph resolves visitors from first anonymous touch, across devices and browsers, before any event reaches the platform. New vs returning customer tracking happens at the identity layer, not the campaign layer.
Conversion event splitting creates structured events: purchase_nc, purchase_rc, first-click source, category, and margin. Each platform trains on the right signal for its role. You can send profit data to Meta and route only genuine first-click conversions to Google.
Clean signals compound. Every week on structured, platform-appropriate events makes the algorithm smarter. Every week on blended signals makes it more confused. The gap between brands with strong signal architecture and those without keeps widening.
When each platform trains on clean, structured signals, prospecting, attribution, and ecommerce profit optimization all improve.
Reduction in new customer
acquisition cost
Meta vs Google
budget allocation
Margin weighted
bidding signals
Setup time for
Shopify stores
Each capability delivers standalone improvement. Together, they create a compounding flywheel that widens your advantage over time.
Identity-level new vs returning customer resolution. purchase_nc and purchase_rc events split at the signal layer. Exclude existing customers from Meta ads with near-100% accuracy, not the 40% you get from list-based matching. Your prospecting vs retargeting split finally reflects reality. Works with Advantage Plus prospecting campaigns.
nCACCross platform attribution at the event level. purchase_nc_fc_google and purchase_nc_fc_meta let each platform optimize for its actual contribution. Solves the last click attribution problem and stops Google from stealing Meta conversions through brand search. Multi touch attribution for Shopify and any ecommerce stack.
AttributionCategory-specific conversion events so your $120 dress and $18 scrunchie stop competing for the same algorithm attention. Category level ROAS optimization without fragmenting your campaigns. Each ad set trains on what a high-value conversion looks like for that specific product vertical.
CategoriesPOAS replaces revenue with gross margin as the conversion value sent to the platform. The algorithm stops chasing volume and starts chasing profitability. Meta ads optimize for margin instead of raw revenue. The answer to the ROAS vs profit optimization question.
POASResolution from first anonymous touch, across devices and browsers. Where customer data platforms for ecommerce go dark on anonymous visitors, Blotout keeps resolving. The foundation that makes prospecting suppression, first-click attribution, and profit signals possible.
IdentityMeta, Google, TikTok, Klaviyo, Pinterest, Snap, and more. All structured signals flow from one tag. No per-channel engineering. Works on Shopify, WooCommerce, and custom stacks. White label tracking solution available for agencies managing multi client conversion tracking across brands.
ChannelsTag managers move data. CDPs unify known customers. Neither controls what the algorithm actually learns from.
| Capability | Blotout | Tag Managers / CDPs |
|---|---|---|
| New vs returning customer split | ✓ Identity-level | ✗ List-based (~40% match) |
| First-click attribution routing | ✓ Per-event | ✗ Not available |
| POAS / margin weighted signals | ✓ Built-in | ✗ Custom engineering |
| Category-specific events | ✓ Automatic | Manual implementation |
| Anonymous visitor resolution | ✓ From first touch | ✗ Known users only |
| Setup time | Minutes | Weeks to months |
| Ongoing maintenance | Managed | You maintain it |
Whether you're a DTC brand or an ecommerce agency, here's what growth teams ask before switching to Blotout.
Blotout replaces the signal layer that tools like Elevar, Triple Whale, and Northbeam operate on. When comparing Elevar vs Blotout or Triple Whale vs Blotout, the difference is that Blotout controls what the algorithm sees rather than just reporting on what happened. It's also a Segment alternative for ecommerce teams that need signal control, not just data piping. If you're using Elevar on Shopify or a similar customer data platform for ecommerce, Blotout gives you prospecting suppression, first-click routing, and POAS that those tools don't offer.
Blotout supports multi client conversion tracking and multi brand signal architecture from a single platform. Agencies get a white label tracking solution with per-client nCAC reporting, cross platform attribution, and POAS dashboards. It's a complete ecommerce agency attribution tool that replaces 3 to 4 separate tools. Agency POAS reporting works across every client account.
Yes. Blotout's identity-level customer suppression solves the core problem with Meta prospecting campaign optimization: leaky exclusion lists. Instead of relying on a customer exclusion list with a 40% match rate, Blotout resolves new vs returning at the event level. Your Advantage Plus prospecting campaigns train on actual new customer signals, reducing your new customer acquisition cost significantly.
Blotout tracks attribution from the first click at the signal level. When a user's first touchpoint is a Meta ad, that attribution persists through the full journey into ecommerce marketing attribution events. At conversion, the purchase event splits by first-click source, giving you an accurate budget allocation between Meta vs Google. This solves the last click attribution problem without requiring a separate multi touch attribution tool for Shopify or any other platform.
Profit on ad spend replaces revenue with gross margin as the conversion value sent to ad platforms. Instead of optimizing for ROAS, where a low-margin order looks identical to a high-margin one, you send profit data to Meta and Google so their bidding algorithms chase profitability. Category level ROAS optimization combined with margin weighted bidding means the algorithm stops concentrating spend on your lowest-margin products.
Shopify stores can deploy Blotout in under 5 minutes. One tag handles Shopify conversion tracking across all channels. There's no GTM dependency, no container management, and no per-channel engineering. The same fast setup applies to WooCommerce and custom stacks. DTC agency ad tracking teams can onboard new client stores in a single session.
The question isn't whether your ads are good enough. It's whether your signal infrastructure is built for how growth works today.
Book a DemoSee how Blotout controls what your ad platforms learn from.