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.
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.
Klar
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%.
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.
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.