AI in e-commerce is changing how Alexander Lodeweyckx, Co-Founder of ForesightiQ, thinks about creative analysis and growth. His route into performance marketing started much earlier and in an unexpected place. At 18, after failing a university maths exam, he wanted to make himself useful. He contacted a speed-dating company and offered to organise events for people aged 18 to 24. That led him into content, advertising, and commission-based marketing.
As ad spend grew, Lodeweyckx realised bigger budgets let him learn faster. “The more I’m able to spend on media buying, the faster I’m able to learn,” he said. That thinking pushed him deeper into e-commerce, where he started helping brands and building his own stores. He later helped scale Loop Earplugs from around €10 million to €200 million in revenue. For Lodeweyckx, growth has always depended on building systems that help teams learn faster.
His latest venture, ForesightiQ, shows how AI in e-commerce can support that approach. The platform pulls advertising data into a custom warehouse and analyses it with a Large Language Model (LLM). It can review more than 180 categories, depending on what a company wants to understand. Teams can then see which creative themes deserve more resources and which should receive less. Lodeweyckx said around €20 million in monthly ad spend already runs through the tool.
“Anybody that works with AI can double, triple his productivity,” Lodeweyckx said. He expects landing pages, conversion rate optimisation (CRO) tests, and advertising production to become much cheaper. But cheaper production does not remove the cost of learning what performs well. Marketers still need budget, time, and enough campaign data to validate an idea. That makes analysis more important as AI lowers the cost of producing more creatives.
AI can help a team make 100 ads where it once made ten. But every new ad still needs funding before its performance can be judged. Lodeweyckx wants better data to improve the odds before teams spend heavily. He described the goal as pushing a 20 per cent hit rate closer to 40 per cent. For him, producing more only helps when more of those ideas have a realistic chance of working.
Lodeweyckx favours a multi-channel approach, but Meta remains his first choice for testing. He likes how quickly it gives him data compared with some Google and native campaigns. “Meta will be my go-to platform always because it’s such an easy channel to use,” he said. He often sees useful signals within days or weeks, rather than waiting a month or longer. That speed gives teams an earlier indication of whether an idea deserves more budget.
He also sees native advertising making a comeback for businesses willing to accept lower short-term return on ad spend (ROAS). Some companies now judge acquisition against the longer-term customer lifetime value rather than the first purchase alone. That can make channels with weaker immediate returns more viable. The right channel, however, still depends on the business model and how a company measures success.
AI in e-commerce may change how campaigns are produced, but Lodeweyckx still sees attribution as a core challenge. He does not rely completely on tools such as Triple Whale or Northbeam. Instead, he builds his own view of how much each channel contributes. “Attribution, I think it’s the core on anything you do,” he said.
When scaling Loop Earplugs towards €100 million in revenue, Lodeweyckx relied largely on a spreadsheet. He assigned ROAS targets based on how incremental he believed each channel was. Attribution tools were introduced as the business grew, but he continued to compare their outputs against his own assumptions. His team reviewed that mix regularly rather than treating one platform as the final answer.
For Lodeweyckx, attribution tools remain useful, but they still operate as a “black box”. That makes testing those assumptions important. At Loop, different markets were used to test theories around Meta, YouTube, and wider channel mixes. Profitability was then compared after several months to see whether those assumptions held up. That process helped him assess incrementality beyond what any single dashboard could report.
Lodeweyckx will continue the discussion at AGS during The New Ecommerce Playbook: AI, Acquisition & Customer Experience. He will join Jess Vassallo, Founder & Head of Growth at Evocative Media, and Ajdin Brkovic, CEO of MonetizeAd. The panel will explore acquisition, personalisation, automation, customer insights, support, and conversion optimisation. It will also examine how e-commerce businesses can use AI while keeping profitable growth in focus.
The discussion forms part of Affiliate Grand Slam Rome, with TrafficStars, a global multivertical advertising platform operating across 200+ countries, joining as Main Sponsor.
Get your ticket today and hear more from Alexander Lodeweyckx and other industry leaders at the newly launched Affiliate Grand Slam, bringing 50+ expert speakers to Rome, 02–05 November 2026.
