


All marketing, shop and sales data in one place.
A fully managed warehouse built for Shopify, and other platforms are less mature.
Say goodbye to spreadsheets. Admetrics unifies all your data in one platform - live in 15 minutes.
First/last-click, linear and AI-blended models - but no custom models of your own.
Nine attribution models out of the box, plus your own rules for splitting credit.
Capture conversions the browser drops.
The Triple Pixel captures first-party data and passes it server-side through the Conversions API.
First-party server-side tracking recovers the conversions pixels lose - 20 to 30% more.
Sends conversion data back to the ad platforms for optimization.
Conversions, enriched with our data, are sent back to ad platforms to optimize algorhythms to the fullest potential.
Privacy-safe tracking without third-party cookies.
Data sits in the US. No EU residency, and the pixel still relies on cookies.
Cookieless tracking, fully GDPR-compliant, with your data on German servers and a support team to match.
One customer identity across stores and marketplaces.
No cross-store or marketplace identity matching.
Matches a shopper across your stores so a marketplace buyer moving to your site never counts twice as new.
Real-time dashboards with segmentation, mostly prebuilt rather than fully custom.
150+ real-time metrics - build any dashboard your store actually needs.
Decisions are ROAS-based.
POAS nets out COGS, shipping, fees and returns down to SKU. Choose winners based on profit.
The full path of touchpoints before a conversion.
Touchpoint maps from the Triple Pixel, with time between stages.
Every touchpoint before a conversion, down to a single order.
Modeling spend against results to size each channel's impact.
Marketing mix modeling is available as the Compass add-on.
Machine-learning MMM sizes each channel's real impact - including offline and upper-funnel.
The overlay works inside Shopify, not inside the ad managers.
Your real attribution sits inside Meta, Google and TikTok — no tab-switching.
Live profit from COGS and spend, but stops at gross margin - no full P&L.
Contribution margin from ad spend through to EBITDA, on your own cost data, refreshed intraday.
Identify & nurture high-value customers.
Solid LTV cohorts, repeat-order and time-between-orders reporting.
Cohort analysis which customers pay back - and which campaigns and products create them.
Product- and SKU-level performance.
Product- and SKU-level performance reporting.
See which products drive profit, lower CAC and repeat purchases - the ones worth real budget.
Modeling spend against results to size each channel's impact.
Returns aren't broken out by campaign or product.
See which campaigns and products drive returns - and close the margin leaks.
Moby agents adjust budgets and bids and pause ad sets, with approval or autonomous rules.
Turns attribution and MMM into concrete cross-platform moves - where the next dollar returns most.
A conversational analyst plus agents - broad in scope, though reviews flag bugs on complex queries.
Ask profit and performance questions in plain language, answered from your own data.
Data API available; the MCP server is open-source and read-only, not a supported product.
Let ChatGPT or Claude query your attribution and budgets - and act on them.
Compared on public documentation, published pricing, and vendor demos.
Admetrics helped us overcome scaling challenges and set a new benchmark for paid-ads. The AI integration solved attribution complexity, so we slashed CAC by 70% and boosted revenue by 81%.

We achieved an impressive 100% year-over-year growth, significantly improved our budget efficiency, and unlocked precise attribution insights across Amazon and Shopify.

Admetrics enhanced our campaign insights by capturing 30% more data than our previous tool, especially on Meta and native channels allowing us to optimize our marketing strategies.