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Admetrics vs Klar: measurement that ends in a budget move, not a report

Admetrics recovers the conversions the browser never records, streams them back enriched to six ad platforms, and turns the result into a budget change your team can audit. Klar reports the profit and hands the decision back. Here is how the two compare.
Comparison of Klar and Admetrics, the best Klar alternative, feature by feature: from attribution to business intelligence features.
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Why ecommerce brands choose Admetrics over Klar

Recovered conversions pushed back to six ad platforms, one buyer identity across every store, an allocator that executes inside your constraints, and an open layer your AI tools can query. Four gaps teams find in the first month of running both.

Send the recovered signal back to six ad platforms

Server-side collection on your own first-party domain catches the 20-30% of conversions a browser pixel never records. Admetrics sends those orders back out enriched - Meta, Google, TikTok, Snapchat, Outbrain and Taboola - so the bidding engines learn from people who actually bought rather than the fraction the script happened to see.

Let the allocation reach the ad account

PRISMA sizes what each channel really contributes, including offline and upper-funnel spend no click ever touches, and attribution shows the individual journeys underneath the model. The Budget Allocator turns both into a concrete cross-platform move - where the next dollar returns most - and executes it inside explicit objectives and constraints, with approval where you want one, a record of what changed and why, and rollback on every action.

Count the same buyer once, across every store you run

Admetrics matches a shopper across your stores and marketplace, so someone who buys through Amazon and later lands on your own site resolves to one customer instead of two new ones - and every acquisition number built on top stays honest.

Ask your own data a question, then let it move something

Ava answers profit and performance questions in plain language from your own data, so a founder gets the number without waiting for someone to build the report. A native MCP server and Data API open the same governed numbers and controls to Claude or ChatGPT - not only to read, but to trigger actions that run through explicit models, constraints and approvals, each one inspectable and reversible.
SIDE BY SIDE

Admetrics vs Klar, feature by feature

Where the two overlap, where they diverge, and what happens after the number lands: data connection, attribution, tracking, profit, MMM, allocation and the open layer.
FEATURE
KLAR
ADMETRICS
Integrations

Connections to ecommerce & ad platforms, CRM and email tools.

TRIPLE WHALE
15+

Shopify, Shopware, WooCommerce, Magento, Amazon Seller and Centra, plus Meta, Google, TikTok, Pinterest, Taboola, Outbrain, Criteo, Klaviyo, Fairing and KnoCommerce.

ADMETRICS
40+ native integrations

Every ecommerce, ad, CRM and email tool you run plugs in without a developer.

Multi Touch Attribution
TRIPLE WHALE
5 static plus data-driven

First click, last click, linear, U-shape and unique, then a data-driven model that reweights each touchpoint by intent, order and time lag.

ADMETRICS
9 models + custom

Nine attribution models out of the box, plus your own rules for splitting credit.

Server-Side Tracking (S2S)

Capture conversions the browser drops.

TRIPLE WHALE
First-party script, server-side

A first-party pixel matches the same person across sessions and devices.

ADMETRICS
First-party S2S

First-party server-side tracking recovers the conversions pixels lose - 20 to 30% more.

S2S Pushback
TRIPLE WHALE
Not available
ADMETRICS
Enriched signal, sent back

Conversions enriched with our data stream back to Meta, Google, TikTok, Outbrain, Taboola and Snapchat, so the algorithms optimize to their fullest potential.

Marketing Dashboards
TRIPLE WHALE
No-code dashboards, limited customization

Prebuilt reports across profitability, retention and acquisition.

ADMETRICS
Fully custom, 150+ metrics

150+ real-time metrics - build any dashboard your store actually needs.

Profit on Ad Spend (POAS)
TRIPLE WHALE
Profit on attribution data

Attribution reports carry margin, so channel decisions run on contribution rather than ROAS.

ADMETRICS
POAS down to SKU

POAS nets out COGS, shipping, fees and returns down to SKU, so the channel you scale is the one that actually made money.

Customer Journey Analytics

The full path of touchpoints before a conversion.

TRIPLE WHALE
Full CJM

Every touchpoint mapped, with discount codes and post-purchase survey answers injected as touchpoints the script never saw.

ADMETRICS
Full journey, no black box

Every touchpoint before a conversion, down to a single order.

Marketing Mix Modeling

Modeling spend against results to size each channel's impact.

TRIPLE WHALE
MMM

MMM sits on top of the data-driven model and reallocates direct and branded traffic to whatever created the demand, word of mouth included.

ADMETRICS
PRISMA MMM

Machine-learning MMM sizes each channel's real impact - including offline and upper-funnel.

Influencer Analytics

Spend, codes and ROI tracked per influencer.

TRIPLE WHALE
Influencer reporting and CRM

Creators managed and measured in-platform, with fees flowing into contribution margin through the custom marketing costs sheet.

ADMETRICS
ROI per creator

Spend, discount codes and commissions tracked for every influencer.

Chrome Extension
TRIPLE WHALE
Extension for three platforms

Klar's attribution numbers inject into Meta, Google and TikTok managers, and you choose which model the extension uses.

ADMETRICS
Numbers inside the ad manager

Your real attribution sits inside Meta, Google and TikTok — no tab-switching.

Profit Analytics
TRIPLE WHALE
Full P&L

COGS, fulfillment, transaction and overhead costs down to contribution margin.

ADMETRICS
Full P&L Control

Contribution margin from ad spend through to EBITDA, on your own cost data, refreshed intraday.

LTV Analytics & Cohorts

Identify & nurture high-value customers.

TRIPLE WHALE
Cohorts, CLV, retention

Cohort reports, lifetime value, retention metrics and order time lags, all on the entry plan.

ADMETRICS
LTV, cohorts & payback

Cohort analysis, repeat-order probability and time-between-orders show which customers pay back - and which campaigns and products create them.

Product Analytics

Product- and SKU-level performance.

TRIPLE WHALE
Products and relationships

SKU performance plus product relationship reports showing what sells together.

ADMETRICS
SKU-level performance

See which products drive profit, lower CAC and repeat purchases - the ones worth real budget.

Return Analytics

Returns broken down by campaign and product.

TRIPLE WHALE
Returns in the margin

No dedicated returns-by-campaign report.

ADMETRICS
Returns by campaign & product

See which campaigns and products drive returns - and close the margin leaks.

Budget Optimizer
TRIPLE WHALE
Not available

MMM, incrementality and targets tell you where to move budget. Klar doesn't move it for you.

ADMETRICS
Budget Allocator that acts

Turns attribution and MMM into concrete cross-platform moves - where the next dollar returns most.

AI Agent
TRIPLE WHALE
Not available
ADMETRICS
Ava, your AI analyst

Ask profit and performance questions in plain language, answered from your own data.

MCP & Data API
TRIPLE WHALE
Build your own MCP

A documented API for imports and attribution reports. They publish a guide for building an MCP server.

ADMETRICS
Native MCP & Data API

Let ChatGPT or Claude query your attribution and budgets - and act on them.

Dedicated Success Manager
TRIPLE WHALE
ADMETRICS
Free Data Audit
TRIPLE WHALE
ADMETRICS
Free Trial
TRIPLE WHALE
ADMETRICS
Review Rating
TRIPLE WHALE
No G2 rating
ADMETRICS
4.97

Compared on public documentation, published pricing, and vendor demos.

CUSTOMER STORIES

DTC brands that made the switch

What changed once the tracking, the margin math and the budget calls came from one system — in the brands' own numbers.

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%.

Paul Keil
Team Lead Performance Marketing, ESN & More
-70%
CAC

We achieved an impressive 100% year-over-year growth, significantly improved our budget efficiency, and unlocked precise attribution insights across Amazon and Shopify.

Vincent Grassegger
CMO, Naturtreu
100%
YOY GROWTH

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.

Lukas Westensee
CEO, Freiluftkind
3X
ROAS
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60%
ROAS increase
+30%
Conversions tracked
4,97
Average review rating
50%
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Frequently Asked Questions

Does Klar send conversions back to the ad platforms?

No. Conversion enrichment - returning attributed, server-side conversions to the platforms so their algorithms optimize against them - is not available in Klar. Its first-party script matches the same person across sessions and devices, and the result stays inside Klar's reports. Admetrics streams enriched conversions to six destinations, Meta, Google, TikTok, Snapchat, Outbrain and Taboola, as part of core tracking, after first-party server-side collection recovers the 20-30% of conversions browser pixels drop.

Can Klar move my budget for me?

No. Klar's MMM, incrementality testing and targets show where budget should go; the change itself happens by hand in each ad account. Admetrics closes that step with the Budget Allocator, which turns attribution and MMM into a cross-platform allocation and executes it inside explicit objectives and constraints, with approvals where you want them, a full record of what moved and why, and rollback on every action.

Does Klar track profit, or only ROAS?

Klar tracks profit. COGS, fulfillment, transaction and overhead costs run down to contribution margin, and its attribution reports carry margin, so channel decisions can be made on contribution rather than platform ROAS.

How many attribution models does Klar have?

Five static models plus a data-driven one: first click, last click, linear, U-shape and unique, then a model that reweights each touchpoint by intent, order and time lag. Admetrics ships nine out of the box and lets you write your own rules for splitting credit, which matters when the way your business actually earns an order does not match any standard shape. Model count is the smaller question anyway - what feeds the model decides whether the output is worth acting on.

Does Klar have an AI assistant or an MCP server?

Neither ships as a product. There is no in-app assistant to ask a question of, and no Klar MCP server - what exists is a documented API for imports and attribution reports, plus a published guide for building an MCP server yourself. Admetrics ships both: Ava answers profit and performance questions from your own data in plain language, and a native MCP and Data API give Claude or ChatGPT governed access to the same numbers and controls.