An intelligent creative growth system that turns data into insights, insights into creatives and creatives into measurable learning.
Creative fatigue is inevitable when ads are produced one batch at a time. The real waste is what gets forgotten: every result should become the next hypothesis, not a line in an old report.
Fatigue
Performance declines as audiences see the same ideas.
Guesswork
Past results rarely shape the next concept.
Learning
Each test improves the next round.
Nine stages form a loop. The last stage feeds the first, so the system gets more useful with every test.
01
Brand, product, customer and performance inputs.
02
What the market and competitors are doing.
03
New hypotheses worth testing.
04
Concepts produced with AI and human direction.
05
Structured tests in live campaigns.
06
Results read by creative element.
07
Patterns captured and documented.
08
Winners developed further.
09
Learning returns to the start.
Each layer has a clear job. Together they connect what you know to what you make and what you learn.
Layer 01
Gathers the signals.
Layer 02
Decides what to test.
Layer 03
Produces the work.
Layer 04
Connects to results.
Creative decisions improve when they are linked to commercial results. We connect creative signals to sales, products, CAC and new customers through the integrations that are available in your setup.
Testing tells you which ad won. Intelligence tells you why, and what to do next.
Patterns, not just winners.
AI speeds up analysis and production. People remain responsible for strategy, creative direction, validation and decisions. That balance protects your brand and keeps the work commercially sound.
The Engine suits ecommerce brands that already invest in paid media, such as Meta Ads, TikTok Ads and Social Ads.
01
Brands with active spend to learn from.
02
Brands that need faster experimentation.
03
Accounts where creative is wearing out.
How the Engine works and how it is delivered.
It is a system for producing, testing and learning from ad creative. AI helps to analyse data and produce concepts faster, while strategists and creatives direct the work and judge the results.
AI can help to find patterns in performance data, generate new angles and create variations quickly, which increases testing speed. People still decide what is worth testing and what the results mean.
AI can speed up production, but it cannot guarantee performance. Results come from good strategy, testing and iteration, so AI output is reviewed and validated by people.
We link creative data from ad platforms with store and analytics data where integrations allow it, so that we can see how creative elements relate to sales, products, CAC and new customers.
It is not a software product. It is a methodology that we deliver as a managed service, combining AI tools with our team’s expertise.