Case overview
We mapped the commercial calendar against product demand, margins and customer acquisition costs. The consulting work established where growth should come from, how seasonal peaks should influence investment and which operational dependencies could prevent campaigns from converting attention into profitable sales.
Performance Max combined seasonal demand signals with dynamic product feeds. Creative and product priorities reflected the customer’s buying context, while the campaign structure connected discovery with a clear path to purchase. The aim was to capture demand at scale without allowing volume to obscure conversion quality.
AI-assisted forecasting highlighted changes in seasonal interest and helped the team anticipate shifts in product demand. Automated feed checks and reporting reduced manual work, giving marketers a more reliable view of availability and performance. Recommendations were reviewed alongside merchandising priorities before changes were made.
Conversion rate improved by 47%. The programme also gave Tanrevel a clearer seasonal operating rhythm, stronger coordination between product and marketing teams, and a practical framework for preparing the next growth cycle.












