All marketing, shop and sales data in one place.
Everything is modeled on Google Cloud in the EU. Piping it to BigQuery, Snowflake or S3 is an add-on.
Say goodbye to spreadsheets. Admetrics unifies all your data in one platform - live in 15 minutes.
Connections to ecommerce & ad platforms, CRM and email tools.
CRM, marketing automation, intent data and review sites connect. The ad list stops at LinkedIn, Google, Meta and Microsoft.
Every ecommerce, ad, CRM and email tool you run plugs in without a developer.
First, last, linear, W-shaped, U-shaped and data-driven. Writing your own credit rules needs the Enterprise plan.
Nine attribution models out of the box, plus your own rules for splitting credit.
Capture conversions the browser drops.
A tracking API takes events straight from your backend. It can't be set up in GTM - you'll need a developer.
First-party server-side tracking recovers the conversions pixels lose - 20 to 30% more.
Stages sync back to Meta, Google, LinkedIn and Microsoft as enhanced conversions. Built for leads and deals, not orders.
Conversions enriched with our data stream back to Meta, Google, TikTok, Outbrain, Taboola and Snapchat, so the algorithms optimize to their fullest potential.
Each order counted once as new, returning or reactivated.
The model counts accounts and funnel stages, not customer type.
Acquisition, retention and win-back are credited apart, so retargeting stops borrowing new-customer credit.
One customer identity across stores and marketplaces.
A marketplace buyer moving to your site never counts twice as new.
Analytics Hub builds widgets and reports around pipeline, deals and content. No store metrics.
150+ real-time metrics - build any dashboard your store actually needs.
Costs feed a CAC report. No margin, so no POAS.
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 touch across the buying committee on one timeline - the strongest part of the product.
Every touchpoint before a conversion, down to a single order.
Modeling spend against results to size each channel's impact.
Spend and results aren't modeled against each other, and there's no incrementality testing.
Machine-learning MMM sizes each channel's real impact - including offline and upper-funnel.
Insights down to ad-level.
Ad reporting stops at campaign. Content Analytics covers URLs and pages, not assets.
Find the creatives driving real revenue - and the ones fatiguing - before you scale them.
Spend, codes and ROI tracked per influencer.
No creator tracking. Partner activity arrives as UTMs.
Spend, discount codes and commissions tracked for every influencer.
Revenue and pipeline only. COGS never enters.
Contribution margin from ad spend through to EBITDA, on your own cost data, refreshed intraday.
Identify & nurture high-value customers.
A report shows how long deals take to convert. No cohorts, no repeat-purchase view.
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.
Pipeline is broken out by URL and blog post. There's no SKU anywhere in the model.
See which products drive profit, lower CAC and repeat purchases - the ones worth real budget.
Returns broken down by campaign and product.
Deals can be marked lost. What comes back after the sale isn't tracked.
See which campaigns and products drive returns - and close the margin leaks.
Reports tell you which channels produced pipeline. Deciding what to do with the budget is yours.
Turns attribution and MMM into concrete cross-platform moves - where the next dollar returns most.
Store & marketing performance assistant.
AI ranks intent signals and writes report summaries. You can't ask it a question about your data.
Ask profit and performance questions in plain language, answered from your own data.
Their own guide routes you through Google's BigQuery MCP - warehouse add-on and gcloud setup required.
Let ChatGPT or Claude query your attribution and budgets - and act on them.
Compared on public 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.
