AI Marketing Stack
Most AI marketing tools promise to think for the team. The ones worth using actually just remove the slow, repetitive parts of the work, attribution modeling, creative testing, forecasting, so the team spends more time on judgment calls only a person can make.
An AI-driven system underneath the media and creative work, handling attribution, creative optimization, audience discovery and growth forecasting.
How we build a stack that keeps learning
Smart attribution modeling
We use AI-assisted attribution to credit channels across the actual customer journey, instead of defaulting to whichever touchpoint is easiest to track.
Creative performance optimization
We use AI to identify which creative elements are actually driving performance, so testing gets faster and less guess-based.
Audience discovery
We use lookalike and LLM-assisted audience modeling to find pockets of demand a manual targeting setup would likely miss.
Predictive growth forecasting
We forecast ROAS and spend efficiency 30 days out, so budget can shift before a channel underperforms instead of after the month closes.
Automated reporting & alerts
We set up systems that flag performance issues as they happen, instead of someone discovering a problem during a weekly report.
Continuous model refinement
We treat the system as something that keeps learning from new campaign data, not a one-time setup that goes stale.
Get a website built for Google, AI search and your customers.
Not just a digital brochure. A site that loads fast, shows up in search, and gives people a clear reason to act. Built right from the start, not patched later.
- ✓Custom design aligned to your brand and market
- ✓SEO and GEO-ready structure from day one
- ✓Mobile-optimised and built for fast load times
- ✓Analytics, tracking and conversion setup included
Infrastructure work, in market
A few examples of AI-driven marketing infrastructure work across different markets and categories.