All marketing, shop and sales data in one place.
Every plan ships a dedicated Snowflake database. Direct SQL access is a paid add-on on top of that.
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.
Shopify, Amazon, the ad platforms, Klaviyo, 3PLs. An AI data engineer writes new connectors on request.
Every ecommerce, ad, CRM and email tool you run plugs in without a developer.
First click through time decay, plus paid overlap and a Shapley-based Full Impact model. Lookback and cash-vs-accrual are yours to set.
Nine attribution models out of the box, plus your own rules for splitting credit.
Capture conversions the browser drops.
Server-side tracking runs from your own domain, with fingerprinting and cross-device stitching through Lifetime ID.
First-party server-side tracking recovers the conversions pixels lose - 20 to 30% more.
The CAPI enhancer covers two platforms and is priced as a separate product. No TikTok, no Snapchat.
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.
Ties into Shopify's own consent banner.
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.
Polar rebuilds customer type from order history rather than trusting Shopify's field. No reactivated tier.
Acquisition, retention and win-back are credited apart, so retargeting stops borrowing new-customer credit.
One customer identity across stores and marketplaces.
Matches a shopper across your stores so a marketplace buyer moving to your site never counts twice as new.
Acquisition, merchandising, retention and profit dashboards out of the box, on a semantic layer of 400+ metrics.
150+ real-time metrics - build any dashboard your store actually needs.
Margin lands at the campaign and at the SKU. CM4 you build once in the semantic layer.
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.
Lifetime ID stitches sessions and logins into one path, including view-through from TV and podcast.
Every touchpoint before a conversion, down to a single order.
Modeling spend against results to size each channel's impact.
A data scientist runs holdout tests on Meta, Google, TikTok or TV. It's a service line, not a model.
Machine-learning MMM sizes each channel's real impact - including offline and upper-funnel.
Insights down to ad-level.
Surfaces top ads and reports on them, tied back to margin rather than platform ROAS.
Find the creatives driving real revenue - and the ones fatiguing - before you scale them.
Spend, codes and ROI tracked per influencer.
Creator spend arrives as a UTM like any other channel.
Spend, discount codes and commissions tracked for every influencer.
Everything lives in the app or in your AI client.
Your real attribution sits inside Meta, Google and TikTok — no tab-switching.
COGS, 3PL, shipping, payment fees and returns all feed the margin stack.
Contribution margin from ad spend through to EBITDA, on your own cost data, refreshed intraday.
Identify & nurture high-value customers.
Retention dashboards, cohort tables and LTV analytics.
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.
Products, variants and product types, with margin and inventory attached to each.
See which products drive profit, lower CAC and repeat purchases - the ones worth real budget.
Returns broken down by campaign and product.
Net sales and CM2 both net out returns. A dedicated returns report isn't documented.
See which campaigns and products drive returns - and close the margin leaks.
The agent flags where spend is drifting. Nothing pushes a budget change into the ad account.
Turns attribution and MMM into concrete cross-platform moves - where the next dollar returns most.
An in-app analyst, plus agents for email, media buying, inventory and building new connectors.
Ask profit and performance questions in plain language, answered from your own data.
The MCP is a product in its own right, wired to a governed semantic layer.
Let ChatGPT or Claude query your attribution and budgets - and act on them.
Compared on public Polar Analytics 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.
