For eCommerce entrepreneurs, CMOs, performance marketers and digital leaders who want to understand how AI and autonomous optimisation could help them navigate growing marketing complexity and drive more profitable growth.

Running performance marketing for an eCommerce business is becoming increasingly complex. Customers move across multiple channels, acquisition costs are under pressure, marketing data sits across disconnected platforms, and teams are constantly trying to decide where to spend the next pound, which opportunity to prioritise and what action will have the greatest impact on revenue and profitability.

Marketing automation has helped automate individual tasks – bidding, targeting, reporting, creative generation and campaign execution – but much of the optimisation still happens in silos. Google optimises Google, Meta optimises Meta, email optimises email, while marketers are left to connect the data, understand the wider customer journey and make the decisions across them.

Autonomous Performance Marketing could change this. Instead of simply automating more tasks, autonomous systems could continuously analyse performance across the marketing ecosystem, identify and prioritise opportunities, coordinate decisions across channels, take appropriate action within defined guardrails, measure the outcome and learn from what happens next.

In this session, Alam Shukla explores the journey from marketing automation to marketing autonomy, the architecture required to make cross-channel autonomous optimisation possible, and what this could mean for eCommerce businesses and the marketers running them.

What you can expect to take away:

• How Autonomous Performance Marketing could help eCommerce businesses reduce marketing waste, identify missed growth opportunities and make faster, more coordinated optimisation decisions.
• A practical framework for the journey from manual marketing → automation → assisted intelligence → supervised autonomy → autonomous performance marketing.
• How an autonomous cross-channel optimisation system could work across advertising, analytics, eCommerce, CRM and customer data towards shared revenue and profitability objectives.
• An understanding of the architecture required – data, intelligence, decisioning, orchestration, execution, guardrails and continuous learning – and where humans remain essential.

Level it's for: Head of / Director / Executive