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Booking Holdings’ Nearly $9 Billion Marketing Spend—and How Its CFO Says AI Is Changing Trip Planning

Booking Holdings’ CFO discusses the company’s paid-acquisition estimate, its broader 2025 marketing expenses and early, unproven signs that AI is changing trip planning.
From TheFinanceBase Team5 min to read
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Booking Holdings CFO Ewout Steenbergen says the company spends roughly $8 billion to $9 billion a year on paid customer-acquisition channels such as search, social media and metasearch. That estimate is not the same as the company’s reported $8.186 billion in total marketing expenses for 2025. His account of AI’s effect on trip planning is promising but preliminary: Booking says customers using its AI tools booked somewhat faster, converted at somewhat higher rates and canceled less often, while Steenbergen cautioned that the data is still early stage.

What does Booking Holdings spend to reach travelers?

In a Fortune interview published October 5, 2026, Steenbergen estimated that Booking Holdings spends roughly $8 billion to $9 billion annually on paid acquisition through channels including search, social and metasearch. He also estimated that about one-third of consumer traffic comes from paid channels and two-thirds directly. The traffic estimate describes where visitors come from; it is not a split of marketing expenses. Fortune’s report of the interview attributes both estimates to Steenbergen.

The company’s audited annual filing reports a different, broader measure: $8.186 billion in marketing expenses for 2025, up 12.5% from 2024. Marketing represented 4.4% of gross bookings and 30.4% of revenue that year, according to Booking Holdings’ 2025 Form 10-K. The filing figure and the CFO’s approximate paid-channel estimate are related, but they should not be treated as interchangeable: one is the annual marketing-expense figure reported in the filing, the other an interview estimate focused on paid acquisition.

Marketing efficiency is affected by more than the headline budget. Booking’s filing names costs per click, cancellation rates, currency exchange, search algorithms, channel mix and conversion from paid traffic as relevant factors. It also says average performance-marketing return on investment declined slightly in 2025, driven by changes in paid-traffic mix and increased social-media spending. That makes the economics of any shift in how travelers discover trips important—but not yet predictable from the figures available.

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How is AI changing trip planning at Booking?

Booking Holdings frames its AI work within its “Connected Trip” strategy: joining travel inspiration and planning with booking, payment and assistance during the trip. Its 2025 filing describes near-term work to help consumers build a complete itinerary, from AI-supported inspiration and planning through suggestions for attractions while traveling. The company says its consumer-facing generative AI features across brands include trip planners, assistants for customer questions and a price-comparison tool.

The strategy addresses several stages of a traveler’s decision, rather than only replacing a search box. A traveler may use an AI feature to explore options or ask questions, compare prices, make a reservation and then get support or suggestions in destination. Booking’s filing says direct bookings and repeat behavior matter to marketing efficiency, and notes that mobile-app room-night share was in the mid-fifties in 2025, compared with the low-fifties in 2024. Booking.com listed approximately 4.4 million properties as of December 31, 2025: about 3.9 million alternative accommodations and 500,000 hotels, motels and resorts. These are company-reported figures, not a guarantee that every listing or AI feature is available in every market.

Booking’s Q2 2026 investor-relations highlights put Connected Trip transactions in the low double digits, alternative-accommodation mix around 37%, and B2C direct mix in the mid-sixties. These are company highlights for that quarter, not timeless measures of the business. Booking Holdings’ investor relations overview presents the figures in the context of the company’s quarterly results and Connected Trip vision.

What early results does Booking report?

Steenbergen told Fortune that customers using Booking’s AI tools were booking somewhat faster, converting at somewhat higher rates and canceling less often. He stressed that the data remains early stage. Those observations are interview claims, not an independently audited study establishing that AI caused the changes or showing their scale across all customers.

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He also described an engineering measure that looks beyond code generated by AI: about 9,000 technologists using AI tools were associated with roughly 30% more production merge requests, which are changes tested and cleared through quality controls. This is a company-reported interview metric, not an independent productivity study, and the count is not simply a tally of AI-generated code.

For customer service, Steenbergen said booking units grew at a high single-digit rate while total customer-service costs declined slightly, alongside higher customer satisfaction and lower average servicing cost per booking. He presented these as signs of process redesign and AI use; Fortune’s account is the source for these operational claims, rather than an independently audited measurement of AI’s causal impact.

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How does the company judge AI’s costs and returns?

Steenbergen described evaluating both benefits and costs. On the cost side, that includes monitoring token and licensing expenses and routing simpler tasks to lower-cost or open-source models. For engineering, he said the company considers a combined human-and-AI measure such as total IT cost per merge request, rather than treating the number of outputs alone as proof of value.

He said Booking aims to redesign processes end to end instead of merely adding AI to an existing workflow. That distinction matters: a tool can make one task faster without improving the overall cost, service quality or customer experience if the surrounding process remains unchanged.

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The company’s 2025 Form 10-K says its Transformation Program had enabled about $550 million in annual run-rate savings by the end of 2025. That is a company-reported program figure; the filing does not identify it as savings caused solely by AI. The distinction is important when weighing AI’s returns against the company’s wider efficiency efforts.

Why the effect on marketing is still uncertain

AI-driven discovery could change how travelers find Booking’s brands and how much the company must pay to reach them. But the available figures do not establish whether AI will reduce acquisition costs, shift traffic away from paid search, increase bookings enough to offset new technology costs, or do some combination of these. Booking’s own filing lists channel mix, conversion, search algorithms and other variables that can move marketing efficiency.

Steenbergen acknowledged the difficulty of measuring returns, telling Fortune: “I think in this area there isn’t a perfect answer.” He added that even hyperscalers investing heavily in large language models may not know the return on investment in advance. The quote reflects his view in the interview, not an official company transcript of the summit.

For travelers, the practical takeaway is that Booking is building AI into discovery, planning and service, but its reported early signals do not establish that AI will consistently produce cheaper trips or better outcomes for every customer. For investors and observers of customer-acquisition costs, the key distinction is between promising early operating metrics and demonstrated, durable financial returns.

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