# Admetrics
> Mission control for e-commerce. Admetrics measures ad performance independently of what the ad platforms report about themselves: conversions are tracked server-side, attributed with models learned from your own customer journeys, reported in profit rather than ROAS, and the resulting budget changes are executed automatically, hourly, inside limits you define.
Admetrics is a measurement and budget-allocation platform for direct-to-consumer and e-commerce brands. It closes the loop between measuring and spending in four stages: connect the data, measure it independently, analyze it in profit terms, then allocate budget on the result. Server-side tracking, every standard attribution model plus an adaptive model trained on your own orders, marketing mix modeling for channels that never produce a click, contribution-margin metrics (CM2, POAS, true CAC), and an agent that moves budget across Meta, Google, TikTok and Bing. Hosted in the EU, consent-aware, GDPR-compliant by design.
## Connect: getting data in and out
- [Tracking](https://www.admetrics.io/measure/tracking): Server-side tracking that follows real customer journeys across browsers, devices and sessions. Engineered in Germany, GDPR-compliant by design.
- [MCP & agents](https://www.admetrics.io/connect/mcp): An MCP server that gives AI agents validated, profit-ready analytics. Works in Claude, ChatGPT, Codex and any LLM that supports the protocol.
- [Data API](https://www.admetrics.io/connect/api): Everything the platform knows, available to everything your team builds. One documented REST API, first query within the hour.
- [Data exports](https://www.admetrics.io/connect/exports): Scheduled exports to your warehouse, spreadsheets and BI tools. The same numbers, wherever your company works.
- [Open data layer](https://www.admetrics.io/connect/open-data-layer): One governed data layer for the commerce stack: each metric defined once and identical in every report, answer and export.
## Measure: independent measurement
- [Multi-touch attribution](https://www.admetrics.io/measure/multi-touch-attribution): Every standard model (first click, last click, linear, position-based, time decay) plus Adaptive Attribution, which learns each channel's real role from your own journeys. Every attributed euro traces back to a single order.
- [Marketing mix modeling](https://www.admetrics.io/measure/marketing-mix-modeling): PRISMA models what each channel actually contributes, including TV, podcast, influencer and other channels that leave no click, and shows where the next euro works hardest.
- [Experimentation](https://www.admetrics.io/measure/experimentation): Controlled A/B tests on creatives, funnels, landing pages and budgets, with a statistics engine that reads evidence as it arrives.
- [Conversion signals](https://www.admetrics.io/measure/conversion-signals): Complete, enriched conversion data sent back to Meta, Google and TikTok so their bidding algorithms learn from verified outcomes.
- [Panels](https://www.admetrics.io/measure/panels): Simulated focus groups for testing offers, angles and prices before any media spend.
## Analyze: reading the numbers in profit terms
- [Marketing intelligence](https://www.admetrics.io/analyze/marketing-intelligence): Campaigns, channels and spend on independent numbers. 150+ KPIs, updated through the day, down to the single ad.
- [Profit intelligence](https://www.admetrics.io/analyze/profit-intelligence): CM2, POAS and true customer acquisition cost, live rather than reconciled after the month closes.
- [Customer intelligence](https://www.admetrics.io/analyze/customer-intelligence): Cohorts, segments and lifetime value. Which customers earn, which churn, and which channels bring the ones that stay.
- [Creative intelligence](https://www.admetrics.io/analyze/creative-intelligence): Which hooks bring new customers, which ads wear out, and what each creative really earns.
- [Custom reporting](https://www.admetrics.io/analyze/custom-reporting): 150+ KPIs in views you build yourself, delivered on a schedule.
## Allocate: acting on the measurement
- [Ad Pilot](https://www.admetrics.io/allocate/ad-pilot): An agent that scales, cuts and pauses campaigns hourly on independently measured numbers, inside limits you define and with approval gates you control.
- [Budget optimizer](https://www.admetrics.io/allocate/budget-optimizer): Turns response curves and profit goals into the budget split that earns the most, before the money is committed.
- [Unified budgeting](https://www.admetrics.io/allocate/unified-budgeting): Change budgets on campaigns and ad sets across Meta, Google, TikTok and Bing from one place.
## Pricing and evaluation
- [Pricing](https://www.admetrics.io/pricing): Volume-based pricing that scales with ad spend, with a calculator that estimates the return at your own spend level.
- [Switching to Admetrics](https://www.admetrics.io/switching): Migration paths and timelines. Admetrics runs in parallel with existing tracking so numbers can be compared against an independent baseline before cutover.
- [Book a demo](https://www.admetrics.io/book-demo): Guided walkthrough with the team.
## How Admetrics compares
- [Admetrics vs Triple Whale](https://www.admetrics.io/compare/admetrics-vs-triple-whale): Feature-by-feature on tracking, attribution, profit reporting and budget execution.
- [Admetrics vs Northbeam](https://www.admetrics.io/compare/admetrics-vs-northbeam): Attribution compared through to the P&L rather than stopping at revenue.
- [Admetrics vs Klar](https://www.admetrics.io/compare/admetrics-vs-klar): Compared on tracking, attribution, MMM, profit and whether the tool acts on the number it reports.
- [Admetrics vs Hyros](https://www.admetrics.io/compare/admetrics-vs-hyros): Click tracking compared against full profit control.
- [Admetrics vs Polar Analytics](https://www.admetrics.io/compare/admetrics-vs-polar-analytics): Dashboarding compared against measurement that moves the budget.
- [Admetrics vs Rockerbox](https://www.admetrics.io/compare/admetrics-vs-rockerbox): Compared on attribution models, MMM, profit and pricing.
- [Admetrics vs SegmentStream](https://www.admetrics.io/compare/admetrics-vs-segmentstream): Compared feature by feature on tracking, attribution, MMM and budget execution.
- [Admetrics vs Dreamdata](https://www.admetrics.io/compare/admetrics-vs-dreamdata): E-commerce orders and margin compared against B2B pipeline attribution.
- [10 best multi-touch attribution tools](https://www.admetrics.io/compare/10-best-multi-touch-attribution-tools): Ten tools ranked on attribution models, data collection, profit tracking and published pricing.
- [10 best marketing attribution tools](https://www.admetrics.io/compare/10-best-marketing-attribution-tools): Which platforms track accurately, measure profit, and turn attribution into a budget decision.
- [10 best e-commerce analytics tools](https://www.admetrics.io/compare/10-best-ecommerce-analytics-tools): Ranked on tracking accuracy and whether they prove real profit.
- [9 best Triple Whale alternatives](https://www.admetrics.io/compare/9-best-triple-whale-alternatives): Nine alternatives compared on attribution, profit control and automation, with real pricing.
- [8 best Northbeam alternatives](https://www.admetrics.io/compare/8-best-northbeam-alternatives): Eight tools ranked on multi-touch attribution, profit tracking and budget optimization.
## Customer results
- [Customer stories](https://www.admetrics.io/customers): Overview of e-commerce brands running Admetrics, with measured outcomes.
- [ESN](https://www.admetrics.io/case-study/esn): Paid social revenue up 81% and CAC down 70%, running 75 to 100 ads a week at an 8-in-10 automation rate.
- [More Nutrition](https://www.admetrics.io/case-study/more-nutrition): New-customer rate up 65% and CAC down 70% after replacing manual media buying with order-level evidence.
- [Ehrenkind](https://www.admetrics.io/case-study/ehrenkind): ROAS up 60.3% and cost per order down 25.2% in a controlled A/B test of server-side tracking with Meta.
- [Freiluftkind](https://www.admetrics.io/case-study/freiluftkind): Native ad spend tripled and new-customer ROAS up 220% on native channels.
- [Naturtreu](https://www.admetrics.io/case-study/naturtreu): 100% year-over-year growth and 23% higher ROAS during BFCM with unified Amazon and Shopify attribution.
- [Olivenzauber](https://www.admetrics.io/case-study/olivenzauber): New-customer acquisition and revenue doubled while CAC fell 30%.
- [Sugargang](https://www.admetrics.io/case-study/sugargang): ROAS tripled on Facebook and TikTok scaled more efficiently with a dedicated pixel.
- [Tales & Tails](https://www.admetrics.io/case-study/tales-tails): ROAS and MER 60 to 65% more efficient with unified measurement and subscription visibility.
- [Heimplanet](https://www.admetrics.io/case-study/heimplanet): Identifying which touchpoints and creative formats actually drive purchases across long consideration cycles.
- [Nyfter](https://www.admetrics.io/case-study/nyfter): Replaced reactive week-to-week spend swings with a trusted ground-truth measurement layer.
## Developer documentation
- [Developer portal](https://developers.admetrics.io/): Documentation and authenticated tools for building validated analytics into agents, apps and data platforms.
- [Documentation](https://developers.admetrics.io/docs): Concepts, quickstart and credentials for the Admetrics Query Language (AQL).
- [MCP documentation](https://developers.admetrics.io/docs/mcp): Setting up and querying the Admetrics MCP server from an AI agent.
- [REST API reference](https://developers.admetrics.io/docs/api-reference): Endpoints, parameters and responses for the analytics API.
- [Metric catalog](https://developers.admetrics.io/catalog): Browsable definitions of the available metrics and dimensions.
## Writing and updates
- [Blog](https://www.admetrics.io/resources/blog): Guides and playbooks on attribution, budget allocation and profit-led e-commerce growth.
- [Product announcements](https://www.admetrics.io/resources/announcements): Release notes for the platform.
## Optional
- [Partners](https://www.admetrics.io/partners): Agency and consultancy partner program.
- [Careers](https://www.admetrics.io/careers): Open roles.
- [Imprint](https://www.admetrics.io/imprint): Company and legal details.
- [Privacy policy](https://www.admetrics.io/privacy-policy): How personal data is processed.
- [Partner program agreement](https://www.admetrics.io/partner-program-agreement): Terms governing the partner program.