Your ad campaigns consume budget. Not ROI
The problem with classic ads? They target broadly to hit the mark.
*As Soon As Possible (tired of anglicisms)
-62%
Cost per conversion (vs manual campaigns)
+247%
Advertising ROI measured over 90 days
48h
To identify profitable audiences
Why 81% of advertising budgets fund unnecessary clicks
An advertising campaign should not be judged by impressions. It should be judged by the actual cost per customer acquired.
The myth of intuitive targeting
Your media buyer targets "Women aged 25-45 interested in wellbeing". Result: 10,000 impressions, 43 clicks, 2 sales. The problem? Human intuition doesn't scale. AI analyzes 847 behavioral signals in real-time to predict who will actually buy.
01 /
The optimization is too slow
Classic campaign: we wait 3 weeks to gather enough data, then we adjust. In the meantime, €4,200 goes up in smoke on a dead audience. Our AI adjusts the targeting every 4 hours. It cuts off poor audiences before they drain the budget.
02 /
The trap of the vanity metric
Your Facebook dashboard shows 2.3M impressions. Wonderful. How many actual customers? 7. The CPM is low, the CPC as well, but the cost per acquisition is catastrophic. We don’t drive based on likes, we drive on the revenue generated per euro spent.
03 /
Our ServicesAI Ads
Everything you need, in a single subscription
01 /
Predictive targeting, not intuitive
AI analyzes 847 signals (behavior, timing, device, history) to predict the likelihood of purchase. You only pay for high-potential audiences.
02 /
Budget controlled to the penny
Spending cap by channel, by audience, by creative. The AI automatically cuts what doesn't perform. No more unpleasant surprises at the end of the month.
03 /
Continuous optimization (4h)
Automatic budget reallocation every 4 hours. Dead audiences are cut, winning ones are pushed. Without human intervention.
04 /
A/B testing at scale
We test 12 creative variants simultaneously. The AI identifies the most effective visual/copy/CTA combination within 48 hours. Then it scales.
05 /
Cross-channel attribution
You will know exactly which channel (Meta, Google, LinkedIn) actually generates revenue. No more pointless debates of agency vs reality.
06 /
Real-time dashboard
You see live: expenditure, cost per lead, cost per sale, ROI. No unreadable monthly PDF. Actionable data, now.
Day 1
Audit budgets & audiences
We analyze your current campaigns: where the money goes, which audiences really convert, and where the leaks are.
Day 2-3
Predictive model
We train the AI on your historical data (CRM, Analytics, Ads). It learns which profiles make purchases.
Day 4-5
Creation of AI audiences
We create predictive segments (intelligent lookalike, exclusion of click-baits, behavioural targeting).
Day 6-7
A/B testing creatives
We are launching 12 variants (visuals, hooks, CTAs). Limited budget for testing. The AI identifies the winners.
Day 8-14
Scaling phase
We push the budget on winning combinations. The AI continuously optimises (targeting, bidding, placements).
Day 15+
Automated piloting
The AI manages campaigns 24/7. You receive a weekly report with the decisions made and the results obtained.
Your AI-created ads all have the same style. That of 10,000 other brands.
Because it's a basic Midjourney prompt. Without artistic direction. Without post-production. Without strategy.
The tools we use for AI Ads
Any questions? We respond within 48 hours.
It is known that entrusting your design to an external team,
raises some questions. Here are our answers.
What is the difference between your AI ads and a good media buyer?
How much does an AI-driven campaign cost?
On which platforms are you launching the campaigns?
Do you also create the visuals and texts for the ads?
How long before I see results?
Can I retain control or is it 100% automated?
Do you guarantee a minimum ROI?
Can AI completely replace a human?
Difference between your AI Ads and Meta Advantage+?
Can I test before committing to a long-term arrangement?