AI-powered decisions for continuously optimized
campaign budget.
Core predicts performance in revenue and ROI from your budget, reallocates spend across campaigns in real time, and surfaces the audience segments that actually convert, so your team runs many channels from one place, on numbers it can trust.
Core and MMM
Where Core sits next to the Marketing Mix Model.
Both decide about budget, at different altitudes. The Marketing Mix Model works across channels, week by week. Core works inside the campaigns, day by day.
| Marketing Mix Model | AD cube Core | |
|---|---|---|
| Layer | Channel | Campaign |
| Cadence | Weekly | Daily |
| What it decides | How much to invest, and where | Where to move budget while campaigns are running |
| Who uses it | Marketing director, finance, management | In-house performance team |
| Includes offline | Yes | No |
The two are independent, and they work well together: the model sets the plan, Core executes inside it.
The problem it solves
Budget gets optimised channel by channel, with no shared view.
Performance teams run dozens of campaigns across native ad platforms, each with its own metrics and its own optimisation logic. Without one layer across channels, budget moves on experience and gut feel rather than a structured, comparable read of what is really working, and hours are lost jumping between dashboards.
Who it is for
For in-house performance teams that run it themselves.
Built for internal performance-marketing teams, not agencies, managing a high number of lower-funnel campaigns across multiple channels, where the focus is conversions and lead generation. Common in energy, finance, banking, insurance, education, telco and travel.
Dashboard
Every campaign, every channel, in one live view.
One place to follow how each campaign performs across every channel over time, with the KPIs that matter to you, clicks, impressions, conversions, spend, revenue, mROAS and CPM, reading the trend and the moment together.
Forecast & plan
Budget, allocated where it works hardest.
Turn Auto-pilot on and Core reallocates budget for you (granular down to each campaign on each channel) keeping spend inside the constraints you set and flagging where the platform would go outside them.
Actionable insights
From one audience to the right split.
Core identifies distinct audience segments within a live campaign, recommends how to split them, reallocates budget based on conversion efficiency, and estimates the expected impact on conversions and cost per lead before changes are applied.
Current campaign
| Campaign ID | Current target | Current budget | Cur. exp. conversions | Current avg CPL |
|---|---|---|---|---|
| Campaign0a31d | Male, Female | €1.200/day | 105/day | €11,43 |
Suggested campaigns
| Campaign ID | Suggested target | Suggested budget | Sug. exp. conversions | Suggested avg CPL |
|---|---|---|---|---|
| Campaign0a31d_M | Male | €720/day+0% | 63/day | €11,43 |
| Campaign0a31d_F | Female | €480/day+0% | 63/day | €7,62 |
| Total | €1.200/day | 126/day+0% | €9,52−17% |
Proof
Budget moved, results measured.
Two companies that let Core reallocate spend across campaigns and audiences instead of setting the split once and leaving it.
Static allocation across Amazon, Meta and Google Ads was capping returns. AI-driven reallocation across products and campaigns lifted ROAS by 68%.
Read the case → Wellness +25%ROI in three monthsIn a crowded supplements market, audience analysis and predictive optimisation put budget behind the customers most likely to be worth keeping.
Read the case →AD cube Core · simulator
Where would you put the budget?
We built this interactive simulator to put your budget allocation choices to the test and show how Core can help distribute marketing investment more effectively across channels.
Next steps
Pricing should reflect the complexity of the decision suite.
Core is usually shaped around the number of channels, campaigns and platforms managed, the level of automation and the support required. The proposal is therefore configured around the actual operating context, not around a generic package.