Not just data. Direction.

Open Aviio. Already know
what to do.

Aviio connects your ad platforms, analyzes your entire funnel, and surfaces what to change — before you even ask.

See how it works

Built by a former Meta ads data scientist

aviio
Decision Queue
Ranked by impact
Critical
Pause 3 fatiguing Meta ad sets
CTR −38% · ~$4.8k/wk wasted
High
Rebalance platform allocation
+19% conversions at the same $1,221/day
Your current platform split is Google Ads 36%, LinkedIn 17%, Meta 26%, TikTok 21%. Given what each platform returns at the margin, this isn't optimal.
Google Ads is underspent relative to what it returns — shifting $195/day into Google would improve overall conversion volume by 19%.
Shift to Google Ads 52%, Meta 24%, TikTok 16%, LinkedIn 8%.
The recommendation puts the next dollar where it converts best — and stops short of over-concentrating on any one platform.
+14 conversions/day at the same $1,221/day total spend. Blended CPA drops from $16.49 to ~$13.90.
Medium
Scale TikTok top creative 2×
CPA 31% under target · headroom available
✦ +195 conv/wk across 9 open recommendations
Illustrative

Unified across

Meta
Google Ads
TikTok
LinkedIn
How it works

Dashboards display data.
Aviio delivers direction.

You connect your accounts. Aviio does the rest.

01

Connecting takes minutes

Once you're onboarded, link your Meta, Google, TikTok, and LinkedIn ad accounts in minutes. Aviio normalizes spend, metrics, and conversions into one schema — no CSV exports, no manual mapping.

02

Calculated, not generated.

Not a generic AI prompt. A purpose-built analytical engine rooted in the same methodologies used by Meta to optimize hundreds of millions in ad spend, running continuously on your entire funnel.

03

You get direction

Open your Decision Queue and the answers are already there. Scale this campaign, shift that budget, test this creative. Every recommendation comes with projected impact. Want to dig into the why? Ask Aviio handles follow-ups in plain language.

Why Aviio

Showing. Thinking. Deciding.

Everyone crowds the first two rungs. The third has one name on it.

01
Showing
Dashboards & Reports
A grid of what already happened. You read it and infer the rest yourself.

Cross-Platform Analytics SuitesEVENT-SHAPED

Shape

Dashboards that unify platform data, now with an AI chat layer on top.

Stops short

The architecture underneath is event-shaped. The AI translates what the dashboard already showed. It can't tell you what to do next, or whether the last call was right — the deciding is still entirely yours.

02
Thinking
Chatbots & Agents
Ask a question, get an analysis. The deciding is still entirely on you.

Reactive AgentsPROMPT-SHAPED

Shape

Chat interfaces bolted onto data connections. Answers well when asked well.

Stops short

Operators running multi-platform spend don't have time to ask the right fifty questions a week. The product waits to be told what matters.

Skills StacksMAINTENANCE-SHAPED

Shape

Marketers stitching together prompts, skills, and orchestration to automate their own workflow.

Stops short

Workflow is commodity. Judgment is moat. They work until you stop maintaining them — and the maintenance never stops.

Platform-Native AISILO-SHAPED

Shape

AI assistants built into the ad platforms themselves.

Stops short

They can't recommend moving spend away from themselves. The cleanest question in the category — should I move $5K from Meta to Google next week — is the one they're structurally incapable of answering honestly.

03
Deciding
Aviio
A ranked call with the rationale and the receipt. The tool makes the recommendation.
Aviio, alone.
Everyone else stopped at Thinking. The decision is where the value is.

The real incumbent isn't software at all — it's a marketer in a spreadsheet, stitching exports by hand. Reactive, unauditable, and impossible to scale past one person.

Under the hood

Same campaign. Same data.
Two architectures.

Here's what each one says when a campaign starts to fatigue.

Deterministic engine

"Campaign A is fatiguing. CTR down 38% vs. baseline and still falling — statistically significant. Confidence 0.86, measured, not generated. Expected waste at current pace: $4,800/wk."

LLM at diagnosis

Sometimes "this appears to be fatiguing." Sometimes "within normal range." Sometimes flags a different campaign. "85% confident" is generated text — a property of the sentence, not a measurement.

$5K caught early $25K caught late Illustrative

Every marketing question you can't answer has the same root cause.
And it isn't missing data.

What's a conversion worth? Was Meta better than LinkedIn? Whether those answers can be trusted comes down to a problem underneath the data — one most of the AI wave is skipping, and the reason Aviio's answers are calculated, not generated. That part we'd rather show you than publish.

Read the full thesis →
The number you take to the board

Every projection gets checked
against what actually happened.

Your boss is asking what's next — and you need a clean answer. Aviio keeps score against its own projections and hands you one net number you can take to the board.

Net added value · 90 days · illustrative account
+$78,200
Built by a marketer's data scientist

"I spent years building the models that told marketers what to do with their spend. Aviio puts that same intelligence in the hands of every growth team — no data scientist required."

CM
Christian Meyer
Founder · Former Advertising Data Scientist, Meta

See your own Decision Queue
in your real data.

Connect your accounts and we'll show you the top moves Aviio finds across your spend — each with the diagnosis, the projected impact, and the receipt. No commitment.

Solo founders · In-house performance marketers · Growth leads & fractional CMOs