12.1x ROAS

An apparel brand operating in EMEA had identified travellers as a key target audience for their summer season sales growth.

They were running campaigns across mass media channels during the summer months, but the results were disappointing. Their broad-reach approaches like TV advertising were resulting in significant wastage, as they couldn't effectively target only those planning trips.

The brand faced a common dilemma in seasonal retail marketing: mass media channels like television provided the reach they needed, but delivered their message to millions of people who weren't planning to travel and therefore had no immediate need for their travel-appropriate apparel.

They needed a highly targeted solution that would reach confirmed travellers at scale, while eliminating the wastage inherent in mass media campaigns.

The ideal approach would deliver the precision of digital targeting with the volume necessary to drive meaningful revenue impact during their critical summer selling season.

Navigator targeted confirmed travellers across EMEA during the period between trip booking and departure, reaching them when travel apparel was most relevant and top-of-mind.

This precision targeting eliminated the wastage of mass media campaigns while delivering scale through access to millions of confirmed travellers.

Because Navigator knows exact departure dates, the campaign ensured sufficient delivery time for purchased items before travellers departed.

This timing optimisation was critical — advertising too close to departure would miss the purchase window, while too early wouldn't capture the sense of urgency. Navigator's data enabled perfect timing for each individual traveler.

The audience could also be segmented by gender and other attributes, allowing the brand to promote multiple product lines to the most relevant customer segments simultaneously.

Women could be shown different product selections than men, families could receive different messaging than solo travellers, and destination types could influence product recommendations. This intelligent segmentation maximised revenue per impression.