MakeMyTrip’s Insight into Price-Sensitive Travel Planning

Industry and Competitive Context

India's online travel market has emerged as one of the most strategically significant digital commerce sectors in Asia. The market was estimated at approximately $23 billion in 2025 and is projected to grow at a compound annual rate of roughly 7 to 8 percent toward approximately $34 billion by 2030, based on market intelligence aggregated by research platforms tracking the sector.

The structural architecture of this market is defined by at least three forces that directly shape pricing strategy. First, the rapid penetration of low-cost carriers has made domestic air travel a price-visible, commoditized category where consumers can compare fares across platforms in seconds. Second, the expanding base of first-time digital travel bookers, particularly from Tier-2 and Tier-3 cities, brings consumers who are highly cost-conscious and for whom digital trust must be established before price confidence can be leveraged. Third, the proliferation of online travel aggregators (OTAs) has structurally reduced switching costs, making price and perceived value the primary battlegrounds for platform preference.

Within this landscape, MakeMyTrip (NASDAQ: MMYT) holds a dominant position. The company commands over 50 percent of the Indian OTA market, operating its flagship MakeMyTrip platform alongside Goibibo and redBus. Its nearest domestic competitors — Ixigo, EaseMyTrip, Cleartrip, and Yatra — each hold market shares in the range of 7 to 9 percent, based on publicly reported analyses of OTA operating revenues. EaseMyTrip has built its competitive positioning explicitly on a no-convenience-fee, no-hidden-cost model, directly targeting price-sensitive consumers and capturing an estimated consolidated annual revenue of approximately ₹600 crores in 2024. This directly competitive posture from smaller rivals makes price-value communication not just a marketing question for MakeMyTrip, but a strategic imperative.

The competitive landscape is further complicated by the presence of international OTAs — Booking.com, Expedia, Agoda, and Airbnb — which compete on hotel and package inventory, and by the government-owned IRCTC which commands over 90 percent of online Indian railway ticketing, a segment that OTAs including MakeMyTrip access only as resellers. The result is a market where MakeMyTrip must defend leadership in flights and hotels while aggressively expanding into adjacent categories to build platform stickiness and reduce overexposure to any single margin-thin vertical.

Brand Situation Prior to Strategic Shift

MakeMyTrip was founded in 2000 by Deep Kalra and has been listed on NASDAQ since its early years. By fiscal year 2024 (ending March 31, 2024), the company had achieved what it described as its best-ever financial performance in terms of both gross bookings and profit, surpassing pre-pandemic travel demand levels. Group CEO Rajesh Magow publicly stated that the company's strategy to serve customers through "a comprehensive portfolio of travel and ancillary products with personalised experiences" was "yielding results."

Despite this financial momentum, the brand faced a structural challenge common to dominant OTA platforms: the air ticketing segment — historically the company's highest-volume business — operates on structurally thin margins due to price transparency, airline commission caps, and the commoditization of flight search. As confirmed in MakeMyTrip's official FY2024 earnings release, the Adjusted Margin for the Hotels and Packages segment was materially higher than for Air Ticketing, creating a clear strategic incentive to shift consumer behavior toward higher-margin categories. This margin architecture means that serving price-sensitive travelers profitably requires more than discount promotions; it requires a deliberate shift in the mix of what consumers book and how they engage with the platform.

At the same time, the company recognized a geographic opportunity. Travel demand in India has historically been concentrated in metropolitan areas, but the growth of affordable smartphones, vernacular internet usage, and expanding middle-class incomes in smaller cities was creating a large cohort of aspiring travelers who were price-sensitive, first-time digital bookers, and linguistically diverse. This cohort represented the next phase of addressable market, but they were also the hardest to serve through traditional filter-and-scroll booking interfaces designed for English-literate metro users.

No verified public information is available on MakeMyTrip's internal market research processes, consumer segmentation frameworks, or specific pre-campaign brand tracking metrics.

Strategic Objective

MakeMyTrip's publicly stated and operationally demonstrable strategic objective across fiscal years 2024 through 2026 was to deepen its reach among new traveler segments — particularly in Tier-2 and Tier-3 cities — while simultaneously improving the quality and personalization of consumer engagement to drive higher-value bookings. This dual objective reflects a classic platform challenge: growing the user base while improving the economics of each user's engagement.

The underlying consumer insight that anchors this strategy, as evidenced by the product and technology investments MakeMyTrip has publicly announced, is that Indian travelers — especially emerging digital users from non-metro markets — are not merely price-sensitive in the narrow sense of seeking the lowest fare. They are planning-sensitive: they face friction at the research and discovery stage of the travel journey, not only at the checkout stage. A traveler who cannot confidently navigate a complex flight-hotel-itinerary planning process will either abandon the platform or default to offline booking channels. Removing that friction — through personalized, conversational, vernacular-language assistance — is itself a form of value creation that serves price-sensitive users by reducing the cost (in time and cognitive effort) of finding the right deal.

This reframing of price sensitivity as planning sensitivity is the core strategic insight that has driven MakeMyTrip's most significant recent product investment: its GenAI-powered Trip Planning Assistant, Myra.

Campaign Architecture and Execution

In August 2025, MakeMyTrip officially announced the launch of its GenAI-enabled Trip Planning Assistant, Myra, through an official press release distributed via Business Wire. The announcement described Myra as capable of assisting users "at every stage of travel planning, from discovery to fulfilment, and beyond," with conversational support through "destination-discovery, shopping, in-trip, and post-sales scenarios." The platform was described as built on an Agentic AI framework designed to power "millions of real-time travel decisions across categories."

The product launch was positioned explicitly as a solution to language and accessibility barriers. MakeMyTrip noted in its official materials that users who had previously been "unable to book due to discomfort with the English language" would now be served through Hindi and, subsequently, multiple Indian languages including Bengali, Kannada, Malayalam, Marathi, Tamil, and Telugu. Users could submit complex, open-ended queries such as — and these are examples published in MakeMyTrip's official press release — "Where can I go in August for a relaxing holiday with my kids?" or "Mujhe Udaipur mein 3-star hotel 3500 ke budget mein chahiye" (translated: I want a 3-star hotel in Udaipur within a budget of ₹3500) and receive personalized responses based on real-time availability and pricing.

This design philosophy directly addresses price-sensitive travelers: rather than showing them an undifferentiated list of options sorted by price, Myra surfaces contextually relevant options within stated budget constraints, in the user's preferred language, through voice or text. The system was built to take users from query to confirmed booking within a single conversational journey — a capability MakeMyTrip stated "hasn't been attempted before" in bridging the gap between inspiration and actual booking.

In February 2026, MakeMyTrip announced a deepened collaboration with OpenAI through an official press release on Nasdaq. The company stated that Myra by then facilitated over 50,000 conversations daily across multiple languages. Oliver Jay, Managing Director (International) at OpenAI, publicly stated that MakeMyTrip was using OpenAI's APIs to make travel planning "feel less like filtering and more like a conversation."

In May 2026, MakeMyTrip announced Myra 2.0, which extended the assistant's capabilities to handle the full booking process — from search through to confirmed, paid booking — within a single voice-enabled conversational interface. Official company communications confirmed that Myra was crossing 3 million conversations per quarter and that over 45 percent of usage was coming from Tier-2 and smaller cities.

Positioning and Consumer Insight

The strategic positioning embedded in the Myra product rollout is analytically important and worth examining beyond the surface-level product description. MakeMyTrip has not positioned Myra as a feature for the technologically sophisticated traveler. Instead, official company communications and product examples consistently frame Myra as a solution for users navigating complexity: the family with dietary and accessibility requirements, the traveler with a fixed rupee budget, the first-time booker from a small city who is more comfortable speaking in Hindi than navigating filter menus in English.

This positioning reflects a sophisticated understanding of price sensitivity in the Indian market. Price-conscious consumers in high-consideration categories like travel do not simply respond to the lowest sticker price — they respond to confidence in value. A traveler who discovers through Myra that a ₹3,500-per-night hotel in Udaipur exists, meets their requirements, and can be booked instantly through a voice conversation in Hindi has received a qualitatively different value proposition than a traveler who sees the same hotel listed fifth in a price-sorted grid after navigating multiple filter screens.

The insight is that the barrier for price-sensitive travelers in India is often not the absence of affordable options — it is the friction of discovering and verifying those options within a planning interface that was not designed for them. By reducing discovery friction for budget-constrained travelers, MakeMyTrip simultaneously increases booking conversion and deepens platform loyalty, converting a one-time deal-seeker into a habitual platform user. This is a long-term brand play embedded inside a product feature.

Rajesh Magow's public statements across quarterly earnings calls reinforce this framing. In Q2 FY2026 earnings commentary, he stated that "AI continues to be at the center of our core strategy to enhance customer experience and improve productivity," and confirmed that over 35 percent of travelers were engaging with Myra up to 90 days before their trip — indicating early-stage planning engagement, not last-minute deal-seeking.

Media and Channel Strategy

No verified public information is available on MakeMyTrip's specific paid media strategy or channel mix for the Myra product campaign. However, certain structural facts about the company's marketing investment are publicly documented.

MakeMyTrip's marketing and sales promotion expenses for FY2025 grew 34 percent year-on-year to $165 million for the full year, as confirmed in the company's official FY2025 earnings release. For Q4 FY2025 alone, marketing spend was $42 million, up 33 percent year-on-year. These figures indicate a sustained and growing investment in brand and product marketing, though the specific channel allocation is not broken down in public disclosures.

The Myra platform itself functions as a channel strategy by design. Voice-first interaction reduces the reliance on text-heavy search-and-filter interfaces, which inherently favors mobile-first, non-English-literate users. The multilingual support — eight languages by the time of the OpenAI collaboration announcement in February 2026 — effectively constitutes a vernacular market access strategy that does not require separate regional campaigns for each language community. The product is the channel.

The company's October 2025 integration with Google Cloud for Myra, and its February 2026 OpenAI collaboration, were both announced via official press releases and received coverage in financial media. The OpenAI announcement was reported to have driven a 7.75 percent increase in MakeMyTrip's stock price on the day of disclosure, reflecting investor recognition of the strategic significance of AI-led differentiation in the OTA market.

Business and Brand Outcomes

The documented financial outcomes of MakeMyTrip's strategy are publicly available through SEC filings and earnings releases. For FY2025 (ending March 31, 2025), MakeMyTrip reported record gross bookings of $9.8 billion, representing 25.9 percent year-on-year growth in constant currency from $7.95 billion in FY2024. IFRS revenue grew 27.4 percent to $978.3 million, and Adjusted Operating Profit rose to $167.3 million from $124.2 million in FY2024. Group CEO Rajesh Magow stated in the official earnings release that the company's "investments in new demand segments and personalized customer experiences across our platform have helped us to grow our customer base as well as drive strong financial performance."

For FY2026 (ending March 31, 2026), per the company's SEC filing, gross bookings reached a record $10.4 billion, up 10.4 percent in constant currency. Revenue grew 10.7 percent in constant currency to $1,044 million. Adjusted Operating Profit increased to $188.8 million from $167.3 million. Bus Ticketing adjusted margins grew 29.3 percent, Others by 37.1 percent, Hotels and Packages by 15.7 percent, and Air Ticketing by 13.4 percent — all in constant currency. The FY2026 filing also confirmed that Myra handled over 54,000 daily conversations in Q4 FY2026 and resolved approximately 55 percent of post-booking flight and hotel queries, the latter being a meaningful operational efficiency indicator.

On the Myra product specifically, MakeMyTrip's official communications confirmed that over 45 percent of Myra's queries originated from Tier-2 and smaller cities, that voice adoption in those cities was 50 percent higher than in metros, and that travelers engaging with Myra converted at a 10 percent higher rate than those using traditional filter-led booking journeys.

No verified public information is available on disaggregated brand health metrics, net promoter scores, or segment-level profitability attributable specifically to the Myra product or the price-sensitive traveler strategy.

Strategic Implications

MakeMyTrip's approach to price-sensitive travel planning offers several analytically significant lessons for marketers and strategists operating in high-consideration, price-transparent digital categories.

The first implication concerns the reframing of price sensitivity as a design problem rather than a pricing problem. In markets with high price transparency, the instinctive competitive response is to offer deeper discounts or more aggressive promotions. MakeMyTrip's strategy suggests a more durable alternative: reduce the cognitive and linguistic cost of accessing value that already exists on the platform. When price-sensitive travelers struggle to discover relevant options, the effective price they pay includes the cost of time and anxiety spent searching. A platform that eliminates that search cost has delivered real economic value, independent of the fare itself.

The second implication concerns the geography of consumer insight. MakeMyTrip's decision to build multilingual, voice-first AI capabilities was grounded in a specific observation about how Tier-2 and Tier-3 Indian travelers interact with digital platforms. This is a form of consumer insight that is not captured by urban panel research or English-language user testing. Brands operating in demographically heterogeneous emerging markets must invest in understanding consumers at the geographic and linguistic periphery — because that periphery is, in many cases, the growth frontier.

The third implication concerns the strategic value of AI as a distribution mechanism, not merely a productivity tool. By building Myra as a conversational planning assistant available in eight languages via voice, MakeMyTrip has created a scalable distribution channel that reaches consumers who were previously excluded from its addressable market by interface design. This transforms AI from an internal efficiency investment into an external growth asset — a distinction that has significant implications for how brands should evaluate and justify AI product investments.

The fourth implication is about margin architecture and consumer behavior design. MakeMyTrip's structurally higher adjusted margins in Hotels and Packages relative to Air Ticketing create a strategic incentive to shift consumer behavior toward more complex, higher-value bookings. Myra, by enabling complex multi-constraint travel planning in conversational form, naturally leads users toward itinerary and package thinking rather than single-ticket price comparison. This is consumer behavior design in service of margin strategy — a rare example of a product experience that serves both the consumer's planning needs and the platform's commercial objectives simultaneously.

The fifth implication concerns competitive moats in platform businesses. MakeMyTrip's scale — over 87 million lifetime transacted users as publicly stated — provides the travel-intent data that makes its AI models meaningfully more accurate and personalized than what smaller competitors can build. This creates a compounding advantage: more users generate more data, which improves the AI, which attracts more users. For price-sensitive consumers who trust the platform's ability to surface the right deal for their specific constraint set, this data advantage translates directly into brand preference. In this sense, data is the durable competitive moat, and AI is the mechanism through which the moat is expressed to consumers.

Discussion Questions for MBA Participants

1. MakeMyTrip's Myra assistant has achieved higher conversion rates among users compared to traditional filter-led booking journeys, as per company-disclosed data. What does this suggest about the relationship between interface design and price sensitivity in high-consideration digital categories? How should marketers distinguish between price sensitivity as a consumer trait and as a platform-induced behavior?

2. EaseMyTrip has built market share by explicitly competing on no-convenience-fee and no-hidden-cost positioning, targeting price-conscious consumers with radical price transparency. MakeMyTrip has responded by investing in AI-driven personalization and discovery rather than price matching. Evaluate both strategic choices using a competitive positioning framework. Which approach is more defensible over a five-year horizon, and why?

3. MakeMyTrip's FY2026 SEC filing shows that Bus Ticketing adjusted margins grew 29.3 percent, higher than both Air Ticketing and Hotels and Packages in the same period. What does this suggest about the relative strategic value of different verticals in an OTA's portfolio? How should a platform strategist think about margin mix when designing consumer acquisition and retention strategies?

4. The Myra product was initially launched in English and Hindi before expanding to six additional Indian languages. What are the risks and trade-offs in sequencing a vernacular market entry strategy of this kind? How does the linguistic accessibility of a platform affect its ability to serve price-sensitive consumers at scale?

5. MakeMyTrip's collaboration with OpenAI was publicly disclosed in February 2026 and was reported to have driven an immediate 7.75 percent stock price increase. What does the market's reaction reveal about investor understanding of the relationship between AI infrastructure and consumer brand value? How should brand managers communicate AI product investments to different stakeholder audiences — consumers, investors, and regulators — given that the value proposition of each is fundamentally different?