Metasearch Manager

Your day-to-day

• Own and optimise Hotel Only performance across meta search partners such as Google Hotel Ads, TripAdvisor, Trivago and other marketplaces for all points of sale.
• Analyse channel performance to identify growth opportunities, improve competitiveness in the auction and drive profitable bookings.
• Work closely with revenue management,, engineering, data science and analytics teams to improve feed quality, bidding logic and platform integrations.
• Develop testing roadmaps across bidding strategies, placements, partners and traffic types to continuously improve performance.
• Monitor key marketplace dynamics including competitor behaviour, pricing competitiveness and auction trends.
• Forecast performance and manage budgets to maximise ROI while scaling the channel efficiently.
• Translate complex data into clear insights and recommendations for stakeholders across marketing, trading and leadership teams.
• Stay up to date with developments in hotel meta search, travel marketplaces and performance marketing to ensure loveholidays remains competitive.
• Drive growth in hotel-only bookings and contribute to the broader expansion of the channel across existing and new markets.

Your skillset

• Experience managing hotel meta search partners such as Google Hotel Ads, Trivago, TripAdvisor or Kayak.
• Knowledge of travel industry dynamics including hotel pricing, rate competitiveness and seasonal demand patterns.
• Strong analytical mindset with the ability to work with large datasets and translate insights into clear actions.
• Proficiency in SQL and Excel (or equivalent analytical tools) to analyse channel performance and support decision-making.
• Experience managing performance marketing channels within travel, eCommerce, marketplaces or similar digital environments.
• Strong understanding of auction dynamics, bidding strategies and marketplace performance drivers.
• Experience building testing frameworks and evaluating experiment results to optimise channel performance.
• Excellent communication and stakeholder management skills with the ability to present insights clearly to technical and non-technical audiences.
• Highly organised with strong attention to detail and the ability to manage multiple priorities in a fast-paced environment.

Desirable

• Experience working with product, engineering or data science teams on feed integrations or bidding systems.
• Experience with data visualisation tools such as Looker.
• Experience launching or scaling performance channels in new markets.
• Experience working with large data environments such as BigQuery or similar data warehouses.

The interview journey

• Talent Acquisition Partner screening - 30 mins
• 1st stage with Hiring Manager - 45 mins
• Final stage with key stakeholder/s including a task to present, in office - 1 hour