Skip to content

3 Travel and Hospitality App Development Mistakes to Avoid

Juwel Rana

By Juwel Rana · CEO & Founder

1,260 views
Coding setup with laptop displaying code and smartphone on a wooden table, ideal for tech themes.

Nearly 3% of online travel startups shut down in 2024, almost double the failure rate of other tech segments. Most of the travel and hospitality app development mistakes behind that number weren't really about a bad idea.

They were decisions made in the first few weeks of the build. How much the MVP tried to do on day one. Whether the team had budgeted for someone else's booking system. How much friction was still sitting in the checkout flow at launch.

A 2024 review of failed online travel companies found that 71% of the 38 that shut down that year had never raised beyond early-stage funding. Undercapitalized teams rarely get a second attempt once the first one burns its runway on features nobody had asked for yet.

Where travel and hospitality app development mistakes usually start

The instinct on a first travel app is to build a bit of everything at once: planning, booking, loyalty, maybe a social layer, because a competitor already has all of it. That instinct is what turns a scoped MVP into a year-long build with no revenue to show for it.

The flight-gifting app Skyhour ran from 2016 to 2024, built partnerships with more than 350 airlines, and had backing from JetBlue Ventures. It closed anyway, because it never solved a problem a gift card didn't already solve. A long feature list doesn't fix a thin reason to exist.

A team that ships a genuinely scoped MVP can usually tell the difference between a real gap and a nice-to-have faster than one still perfecting a roadmap.

The booking plumbing nobody budgets for

Travel apps look like ordinary software until they have to book something real. The moment a screen needs live inventory from a hotel chain or an airline, it's depending on somebody else's system.

That system gets tested and certified on somebody else's schedule, not the sprint plan drawn up before the contract was signed.

That's the part of the build that reliably runs over budget and past the launch date, because it's the one piece a demo can fake and a live booking can't.

Piling an AI concierge on top doesn't rescue a weak plan either. If every competitor can ship the same assistant in a quarter, it was never the reason someone would switch apps.

The advantage usually sits further back, in automating the operational side of a booking flow a guest never sees, not in a chat window bolted onto the front of it.

Losing the booking at the last screen

A woman feeling stressed while working from home with a laptop in a modern living room.

Photo by https://kaboompics.com/ on Pexels

Getting someone to the checkout screen and then losing them there is the most expensive version of this mistake. It happens after the marketing spend already worked.

Paysafe puts the average booking abandonment rate for online travel agents at nearly 94%, citing research that ties most of it to payment friction rather than price.

The same piece names a few specific culprits:

  • Local payment methods that aren't supported in the traveler's country
  • 3D Secure checks that throw false declines, especially on mobile
  • Currency conversion or fee surprises that only show up on the final screen

None of those are hard to fix once you know to look for them. But they're invisible in a demo that only ever gets tested with one card, in one currency, on a desktop browser.

A checkout flow that's actually been tested against a second currency and a declined card catches this before launch, not after the reviews start naming it.

Pair that with payment integrations built for the mix of cards and wallets travelers actually use, and it's usually the cheapest of these three mistakes to fix, as long as you fix it before the app ships rather than after.

Cover photo by Negative Space on Pexels

Latest Blog

Close-up of a computer screen displaying ChatGPT interface in a dark setting.AI Pricing • SaaS

Why Outcome-Based AI Pricing Is Winning Over Enterprises

Enterprise IT teams now re-evaluate AI vendors every six months, and per-seat plans are losing out to consumption and outcome-based pricing. Here's what the survey data shows.

Read More
Yellow block letters spelling 'error' on a vibrant pink background, capturing a playful message.SEO • SaaS

SaaS Startup SEO Mistakes That Quietly Kill Growth

AI Overviews and zero-click search changed what a ranking is worth. Here's where SaaS startups still get SEO wrong, and what to fix first.

Read More
Young man smiling while operating industrial machinery in a factory setting.FinTech • AI & Automation

5 FinTech Tasks to Automate First

Most AI spend in finance isn't paying off yet. Here's why the fintech tasks to automate first are the narrow, rules-based ones, not the customer-facing ones.

Read More
Cargo train parked at a modern urban railway station on a cloudy day.Web Development • Logistics

Next.js vs WordPress Logistics: What to Choose

WordPress and Next.js handle plugins, security and real-time data very differently, and a logistics site's tracking widgets and carrier APIs make that difference expensive to get wrong.

Read More
Image of various coins on financial documents with graphs and charts.Education • Digital Marketing

How to Set Your Education Digital Marketing Budget

Percentage-of-revenue rules break down for tuition-based businesses. Here's how to size an education digital marketing budget around what one enrolled student actually costs.

Read More
Close view of computer screen displaying HTML code with an authentication error.Law Firms • Web Development

No-Code vs Custom Development Law Firm Sites

A no-code builder and a custom build solve a law firm's website problem differently. Here's what actually separates them once accessibility and intake forms enter the picture.

Read More

Subscribe to our newsletter

Offers, insights and updates — a couple of times a month, never more.