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One view of what works. One plan a month.
You manage the day-to-day spend, but the data lives in 15 platforms and none of them agree. Odins gives you one view: what is working, what is saturated, where to move budget, and what to test next. Specific enough to act on.
Data
Every channel, online and offline, plus sales and revenue. Structured, fully managed.
Model
Bayesian MMM, built on what your team already knows and verified against actuals.
Decisions
Budget recommendations, scenarios and reports. Reviewed by our team before delivery.
Results feed the next model, and the loop repeats.
Fifteen platforms, no answer.
Google Ads, Meta, TikTok, programmatic, the CRM and a handful of spreadsheets. Each one tells a different story, and stitching them together eats your week.
Numbers that disagree
Every platform measures its own way and attribution never reconciles. The cross-channel answer is always a best guess.
ROAS up, sales flat
Platform ROAS looks great while total sales stand still. Something is taking credit it did not earn.
Tests that prove nothing
Ad hoc experiments without a design produce debates, not answers. The channel question comes back next quarter.
From data wrangling to decisions.
All channels and sales data feed one model. It separates what drives results from what takes credit, and turns the difference into a concrete monthly plan.
- Monthly actions: increase this, cut that, hold the rest, each with expected impact
- Saturation curves show which channels still have headroom
- Structured test designs with budget, duration and clear success criteria
- One consistent data view across every platform, managed for you
Modeled revenue by source
Feb – Jul 2026Baseline is demand not driven by media: seasonality, price and market conditions.
When the questions land on your desk.
The moments where stitching together platform exports used to cost you days.
- The CMO asks where to cut 15 percent: run the scenario and answer in minutes, not days of spreadsheet work
- Platform ROAS looks great but sales are flat: the model separates real incremental effect from attribution inflation
- You want to try a new channel: present a test design with expected outcomes instead of a hunch
Frequently asked questions.
Do I stop using my platform dashboards?
No. The platforms stay your tools for daily operations. Odins is where the cross-channel decisions get made: allocation, saturation and testing.
How specific are the recommendations?
Concrete moves per channel with an expected outcome and a confidence range. Specific enough to implement in your platforms the same week.
What about channels without an API?
Offline spend and media plans are uploaded as files or read in by an LLM, and the mapping is remembered from month to month.
How much work is it for me?
Odins is fully managed. You review a monthly plan and decide what to implement, instead of reconciling exports from fifteen platforms.
What happens when a recommendation misses?
The model measures its own forecasts against actual sales every month and adjusts. Misses make the next month's recommendations sharper.
Next month's plan, from your own data.
A 30-minute walkthrough of what monthly recommendations look like on channels like yours.
Book a demo