Accor shifts strategy on personalisation and loyalty programs

by Emma Wilson 2 hours ago
Accor shifts strategy on personalisation and loyalty programs

Accor is transforming its approach to data, alliances, and loyalty after concluding that scattered guest profiles and impersonal marketing no longer align with traveler demands. The overhaul, spearheaded by Kerry Healy, Chief Commercial Officer for Accor‘s Premium, Midscale & Economy brands in MEA and APAC, centers on building a unified, real-time guest profile that integrates property records, loyalty history, and digital behavior. The effort goes beyond operational streamlining—it aims to empower staff to provide tailored service that guests perceive as genuine, not forced.

Healy emphasizes that the difficulty lies not in gathering data but in applying it effectively. Modern travelers resist being treated as targets for promotions. They expect recognition, continuity, and appreciation. Achieving this requires more than analytical tools; it necessitates a cultural adjustment in how hotels interpret and act on guest information. For example, a guest’s history—past visits, preferences, and even interactions with staff, should shape every engagement, from arrival to dining to concierge assistance.

In partnerships, Accor is shifting focus from sheer volume to strategic depth. With super apps and sprawling online travel platforms dominating the space, Healy argues that indiscriminate collaboration risks weakening brand identity or compromising guest data. Instead, the company is prioritizing alliances that directly enhance the stay, such as smoother booking processes, while preserving data control. Success is now measured by guest lifetime value rather than outdated last-click attribution.

Three pillars redefine modern hospitality

This strategy reflects a broader industry evolution: travelers prioritize experience over booking origins. Healy identifies three key differentiators in MEA and APAC: reliable fundamentals (like dependable Wi-Fi or comfortable beds), cultural and sporting engagement (hotels hosting local events), and effortless transactions. These elements forge emotional connections that traditional loyalty programs often miss.

Artificial intelligence plays a supporting role, designed to operate as a seamless assistant rather than a dominant force. AI could automatically apply past preferences to room setups or recommend local activities without appearing mechanical. The human touch remains essential; technology’s purpose is to enhance hospitality, not dominate it.

In the Middle East, hotels are increasingly framing themselves as cultural destinations. Through sports tournaments, art displays, or culinary events, properties are using their spaces to create lasting impressions. This aligns with a global trend toward experiential travel, but with regional distinctiveness. The core question for Accor and rivals is no longer how to personalize interactions, but how to ensure each moment feels deliberate and meaningful.

Loyalty now means emotional connections

True guest loyalty, under this model, transcends points or booking channels. It hinges on delivering predictable quality, emotional engagement, and flawless service, regardless of how or where a guest reserves their stay. Data, partnerships, and technology all serve a single objective: crafting an experience that feels uniquely tailored, not transactional.

Healy notes that regional markets like MEA and APAC present distinct opportunities. While global chains often standardize offerings, local expectations, such as cultural relevance or flexible payment options, demand adaptation. The company’s real-time identity system now prioritizes regional adaptation, ensuring guest experiences align with local preferences.

Staff training is being overhauled to reflect this shift. Frontline employees receive refreshed protocols to interpret data insights, such as a guest’s tendency to request late check-outs, without relying on rigid scripts. The aim is to balance personalization with authenticity, ensuring interactions feel human rather than algorithm-driven.

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