All marketing, shop and sales data in one place.
Every report runs off a BigQuery dataset - hosted for you, or your own GCP project if you're on Enterprise.
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.
Deep coverage across ad platforms, analytics, CRM and warehouses. On commerce, the list stops at Shopify and Stripe.
Every ecommerce, ad, CRM and email tool you run plugs in without a developer.
First click, last click, multi-touch and Visit Scoring, each tunable by window and traffic rule. No linear or time-decay.
Nine attribution models out of the box, plus your own rules for splitting credit.
Capture conversions the browser drops.
Collection runs through a browser SDK and your GA4 export. Server-side conversion tracking sits on the Enterprise plan.
First-party server-side tracking recovers the conversions pixels lose - 20 to 30% more.
Qualifying conversions go back to Meta, Google Ads, LinkedIn and GA4 once a day. No TikTok, Snapchat, Outbrain or Taboola.
Conversions enriched with our data stream back to Meta, Google, TikTok, Outbrain, Taboola and Snapchat, to optimize the algorithms to their fullest potential.
Each order counted once as new, returning or reactivated.
Reports break down by campaign, channel and geo. There's no new, returning or reactivated dimension.
Acquisition, retention and win-back are credited apart, so retargeting stops borrowing new-customer credit.
One customer identity across stores and marketplaces.
Identity is stitched per project, not across stores.
Matches a shopper across your stores so a marketplace buyer moving to your site never counts twice as new.
Your numbers, arranged the way you run the business.
Drag-and-drop widgets built on spend, sessions, ROAS and CPA. No store metrics.
150+ real-time metrics - build any dashboard your store actually needs.
Choose winners based on profit.
No POAS metric. Margin can be piped in from your warehouse, but you build the math.
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 session and the credit it earned, refreshed by a daily batch.
Every touchpoint before a conversion, down to a single order.
Modeling spend against results to size each channel's impact.
Diminishing-returns curves and geo holdouts instead - offline and TV stay out.
Machine-learning MMM sizes each channel's real impact - including offline and upper-funnel.
Spend, codes and ROI tracked per influencer.
Awin, Impact and Rakuten push cost data. Individual creators are just UTMs.
Spend, discount codes and commissions tracked for every influencer.
Your numbers stay inside SegmentStream's own reports.
Your real attribution sits inside Meta, Google and TikTok — no tab-switching.
Contribution margin and P&L from the marketing data.
No COGS, no contribution margin, no P&L.
Contribution margin from ad spend through to EBITDA, on your own cost data, refreshed intraday.
Identify & nurture high-value customers.
LTV can be modeled as a conversion value. No cohort or payback reporting.
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.
Reports group by campaign and channel. Product data stays in your warehouse, not the reports.
See which products drive profit, lower CAC and repeat purchases - the ones worth real budget.
Automated budget allocation for the best return.
Marginal ROAS curves produce a reallocation you can push straight into the ad accounts, across the channels it can click-track.
Turns attribution and MMM into concrete cross-platform moves - where the next dollar returns most.
Store & marketing performance assistant.
There's no assistant in the product - you connect Claude or ChatGPT yourself.
Ask profit and performance questions in plain language, answered from your own data.
Let an AI client work with your data directly.
Reads reports and edits configuration. Applying budgets stays in the UI.
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 advertising challenges and set a new benchmark for native-ads. The S2S integration solved attribution complexity, allowing us to double revenue in 90 days.
We transformed scattered reporting into a unified, subscription-aware system and achieved a 65% higher MER with significantly faster decisions, better creative and product insights.
With the Admetrics integration we achieved a remarkable 60% increase in ROAS, reduced our Cost per Order by 25%, and optimized our Meta ad spend with precision and confidence.
