# Aviio Launches a Decision Engine for Paid Media, With $5.37M in Ad Spend Already Run Through It

By Aviio, Inc., Aviio, Inc. · Published 2026-10-21 · Marketing Tech on MarketScale
Canonical: https://www.marketscale.com/industries/marketing-tech/aviio-launches-a-decision-engine-for-paid-media-with-537m-in-ad-spend-already-run-through-it

> Aviio launches a decision engine for paid media that ranks ad decisions across Google, Meta, TikTok and LinkedIn, with $5.37M in spend analyzed.

## Key points

- Aviio ranks ad decisions across four platforms with diagnosis, recommendation, reasoning, and projected impact for each action
- $5.37 million in ad spend analyzed through the engine at launch
- Recommendations use deterministic statistical methods rather than language models, making them defensible to CFOs

[Aviio, Inc.](https://aviio.io/?c=press&utm_source=marketscale) today announced the public launch of Aviio, a decision engine for paid media. Aviio connects to a company's ad accounts across Google, Meta, TikTok and LinkedIn and produces a ranked queue of decisions. Each one carries a diagnosis, a recommendation, the evidence behind it, and an estimate of what the move is worth. At launch, the engine has analyzed $5.37 million of real ad spend.

Marketing software has learned to show teams their data. More recently it has learned to think about it. Aviio's founder argues it still stops short of the decision.

"At Meta, the job was recommendations: telling executives what to do and why. Everything upstream of the decision was a cost," said Christian Meyer, founder of Aviio and a former marketing data scientist at Meta. "The industry has gotten very good at faster answers. Almost nobody is asking whether the decisions hold up. That is the gap Aviio is built for."

Five parts of a decision
Aviio's decision cards are built to a standard Meyer carried over from his work at Meta. Every card has five parts:

- Observation. The engine surfaces the issue on its own, without waiting to be asked.
- Diagnosis. Statistically grounded and repeatable. The same input produces the same finding.
- Recommendation. Weighed across every platform against the team's own KPI, not any one platform's interest.
- Rationale. The reasoning, with evidence the team can trace.
- Headroom. What the move is worth, projected before the change and checked against results after it.

Cards are ranked by expected impact and confidence, so a team opens Aviio and sees what to decide first.

Calculated, not generated
Aviio's diagnoses come from a deterministic statistical engine, not from a language model. Baselines, significance tests and effect sizes are computed the same way every run, so a recommendation can be defended to a CFO as well as acted on by a marketer. Aviio is read-only at launch: it recommends, the team makes the change, and the engine records the outcome. Those outcomes feed back into the engine's confidence in each kind of call.

Availability
Aviio is available now to in-house teams that spend across more than one ad platform. Meyer is onboarding customers personally and offers a walkthrough of a team's own accounts. Read the launch letter "Marketing software thinks now. It still won't make the call" at https://aviio.io/letters/marketing-software-thinks-now?c=press&utm\_source=marketscale or book a demo at https://aviio.io/?c=press&utm\_source=marketscale#demo

Aviio, Inc. is a San Francisco company building the decision layer for paid media. It was founded by Christian Meyer, who previously ran measurement for Meta's own marketing to advertisers, covering incrementality, attribution and diagnosis.

Tags: Aviio, paid media, ad tech, marketing technology, product launch, decision engine

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