All marketing, shop and sales data in one place.
A managed dataset of spend, touchpoints and conversions, shared out to Snowflake, BigQuery or Redshift. You don't host it.
Say goodbye to spreadsheets. Admetrics unifies all your data in one platform - live in 15 minutes.
First touch, last touch, even weight and a modeled multi-touch built from your own data, with custom credit allocation on top.
Nine attribution models out of the box, plus your own rules for splitting credit.
Capture conversions the browser drops.
An onsite pixel on a first-party cookie. Server-side events arrive through Segment, webhooks or batch files.
First-party server-side tracking recovers the conversions pixels lose - 20 to 30% more.
De-duplicated conversions flow back through the Google Ads Conversions API. The Meta equivalent is still documented as beta. Nothing else.
Conversions enriched with our data stream back to Meta, Google, TikTok, Outbrain, Taboola and Snapchat, so the algorithms optimize to their fullest potential.
Privacy-safe tracking without third-party cookies.
SOC 2 certified, but classed as an analytics cookie. No EU data residency documented.
Cookieless tracking, fully GDPR-compliant, with your data on German servers and a support team to match.
Each order counted once as new, returning or reactivated.
New and repeat customers report separately, down to new-customer CPA. Reactivation isn't a category.
Acquisition, retention and win-back are credited apart, so retargeting stops borrowing new-customer credit.
One customer identity across stores and marketplaces.
Identity stitches per account, not across separate stores.
Matches a shopper across your stores so a marketplace buyer moving to your site never counts twice as new.
Marketing paths, funnel position and channel overlap are prebuilt. Custom reporting means exporting to your warehouse.
150+ real-time metrics - build any dashboard your store actually needs.
De-duplicated ROAS and CPA across every channel. COGS isn't in the model, so profit never appears.
POAS nets out COGS, shipping, fees and returns down to SKU, so the channel you scale is the one that actually made money.
The full path of touchpoints before a conversion.
Every touchpoint on every path, with channel overlap and funnel position, down to log-level rows per order.
Every touchpoint before a conversion, down to a single order.
Modeling spend against results to size each channel's impact.
Bayesian MMM with scenario planning and model comparison, calibrated by geo lift tests.
Machine-learning MMM sizes each channel's real impact - including offline and upper-funnel.
Insights down to ad-level.
No creative previews or fatigue signals.
Find the creatives driving real revenue - and the ones fatiguing - before you scale them.
Spend, codes and ROI tracked per influencer.
Creators are measured through promo codes and post-purchase surveys, not per-influencer spend and commissions.
Spend, discount codes and commissions tracked for every influencer.
Your real attribution sits inside Meta, Google and TikTok — no tab-switching.
No COGS, no operating costs, no contribution margin anywhere in the platform.
Contribution margin from ad spend through to EBITDA, on your own cost data, refreshed intraday.
Identify & nurture high-value customers.
Time to convert and payback period are covered. No LTV cohorts or repeat-order modeling.
Cohort analysis, repeat-order probability and time-between-orders show which customers pay back - and which campaigns and products create them.
Product- and SKU-level performance.
Conversions arrive as orders with a revenue value. Nothing breaks performance down to the product.
See which products drive profit, lower CAC and repeat purchases - the ones worth real budget.
Returns broken down by campaign and product.
See which campaigns and products drive returns - and close the margin leaks.
The MMM scenario planner forecasts what a reallocation does to revenue. Nothing writes budgets back to the ad accounts.
Turns attribution and MMM into concrete cross-platform moves - where the next dollar returns most.
No conversational analyst inside the platform. Reading the reports and drawing the conclusion is your team's job.
Ask profit and performance questions in plain language, answered from your own data.
Let ChatGPT or Claude query your attribution and budgets - and act on them.
Compared on public Rockerbox documentation, published pricing, and vendor demos.
Last year's Black Friday and Cyber Monday shattered all records at NATURTREU, with our marketing budget more than doubling (+122%) and ROAS increasing by 23%. Using PRISMA and precise tracking, we accurately assessed our marketing channels' impact, optimizing budgets based on accurate data.
Before Admetrics, the data from Facebook, Snapchat and TikTok was very distorted. Thanks to Admetrics, we could analyze what really works, what the real numbers are, and therefore scale easier and faster. We could triple our ROAS and scale based on real, accurate data.
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.
