FeedMax and i-Run recognised at the 2025 e-Commerce Awards in the “Data, Personalisation and Retail Media Campaign” category

How does FeedMax work?

FeedMax is an artificial intelligence solution developed in France by search marketing experts, with over 30,000 hours of research to its credit.

Developed in a private R&D laboratory, it is based on the work of eight researchers specialising in AI, who are continuously developing proprietary models to address the specific challenges of e-commerce. Its mission: to help you invest in the right products, at the right time, with the right data.

Indeed, it must be noted that Google Shopping performance depends particularly on one factor: the quality of the product feed. This is where FeedMax comes in.

The solution is aimed at all e-merchants, regardless of the size of their product catalogue, their advertising budget, or their market location (the solution is currently deployed in 12 countries).

FeedMax is a unique solution on the market that optimises Google Shopping and Performance Max campaigns using two powerful levers:

• Continuous enrichment of product feeds (FeedMax EnrichTM): correction of missing or incomplete attributes, improvement of titles and descriptions, alignment with the best-performing queries.
• Intelligent and predictive product distribution (FeedMax PredictTM), based on a proprietary model incorporating 52 predictive criteria, to maximise visibility and conversions.

Using these 52 factors, first-party data and Google Ads, FeedMax can predict what you will sell tomorrow.

The collaboration between i-Run and FeedMax: combining performance and efficiency in campaign management

FeedMax was integrated in close collaboration with i-Run’s marketing teams, enabling business objectives to be aligned with algorithmic logic.

To maximise results, the solution took a number of factors into account: Google performance, i-Run’s back office performance, 52 contextual factors, and the distribution of products between top and low campaigns.

In concrete terms, FeedMax made it possible to:

• Continuously analyse product performance to automatically adjust distribution priorities.
• Optimise product titles, attributes and descriptions based on the best-performing queries.
• Promote exposure for the most profitable products while reducing the manual workload for teams.
• Create learning rules for each market to adapt strategies from one country to another.
• Increase agility and profitability through detailed, data-driven management.

After a very successful three-month trial period, the solution was rolled out across the entire French market, then in all countries where i-Run operates.

An award that recognises co-construction and concrete results

The nomination and subsequent award illustrate the power of co-construction around a common goal: combining expertise and technological innovation to generate concrete, rapid and sustainable results.

Concrete and measurable results

Thanks to this approach focused on product flow quality and performance, results were not long in coming. In the last month of testing, i-Run observed:

• +20% more products displayed on Google Shopping
• Improved ROAS (+1.07 points)
• +15% conversion rate
• +41% turnover

These results confirm that there is a real benefit to improving the quality of the data flow through continuous optimisation and enrichment, thereby maximising the potential of campaigns.

An award that recognises successful collaboration

This victory at the 2025 E-commerce Awards in the ‘Data, Personalisation & Retail Media Campaign’ category is the reward for months of work, iterations and continuous optimisation. It also symbolises the growing importance of AI applied to retail media and e-commerce.

Thank you to the jury of the 2025 E-commerce Awards for this wonderful recognition, and congratulations to all the teams involved.

Special mention goes to the i-Run teams, including Celya Maynar, Chloé Jubécourt and Alexandre Pion, for their involvement in this great success.

With over 50,000 products in its catalogue, i-Run faced a major challenge: improving the performance of its Google Shopping campaigns without complicating day-to-day management. The aim was to better showcase the best-performing products, optimise the quality of ads to more accurately match search intent, increase click-through rates while controlling costs, and capitalise on performance in the French market to accelerate international growth. All with a clear objective: to regain control over an increasingly automated channel by injecting more intelligence and precision.

It was in this context that i-Run called on FeedMax. Thanks to our technology, the teams were able to automate the enrichment and optimisation of the product feed, in particular by refining and completing titles and attributes based on search data. The result: a more agile, more effective Shopping strategy that is better adapted to the realities of the catalogue and the demands of the market.

This award recognises this joint effort and confirms that AI, when applied correctly, can transform complexity into a competitive advantage.

Would you like to learn more about FeedMax or discover how to optimise your Retail Media campaigns? Contact us now for a personalised demonstration.