DealZone
at Cleartrip

timeline

12 weeks

my role

Research, Strategy,
User Experience, Motion

My team

1 Product Manager, 2 Product Designers and 3 Engineers.

DealZone at Cleartrip

timeline

12 weeks

my role

Research, Strategy,
User Experience, Motion

my team

1 Product Manager, 2 Product Designers & 3 Engineers.

India is a price-sensitive market where a significant portion of travellers (~65%) are budget-conscious and are always on the lookout for deals and discounts to optimise their travel.

This behaviour is especially evident in air flight ticket purchases, where travellers actively seek out offers to minimise costs.

Great deals do exist,
but why cannot users find them?

Limited Time

Users often do not have the time and patience to search through multiple sites to find the best deals.

They find it challenging to compare prices across different airlines and websites.

Lack of Availability

Deals may be scarce or available only
for a short time.

Budget constraints, along with specific travel dates or destinations, further complicate this for users.

How will the business benefit if this
is solved?

How will the business benefit if this is solved?

Simplifying the search process and by consistently providing transparent pricing, Cleartrip can build trust among users and encourage repeat visits. Additionally, continuous learning from user interactions allows Cleartrip to refine its offerings and stay ahead of market trends.

Some top level metrics we wanted to track were:

🎯

Organic top of funnel

🤝

Enagagement

💰

Conversion rates

Some interesting data

We conducted a research initiative that included digital surveys and one-on-one interviews. We focused on understanding how users search for flights and their booking habits. The numbers tell a compelling story, highlighting how users book their flights.

80%

Searches done on platform are for the next 30 days

87%

Bookings done on domestic routes are non stop

50%

Domestic bookings are done on top 100 domestic routes

28%

Searches done on platform are for the next 3 days

80%

Domestic bookings happen for flights between 6am-8pm

User personas: The blueprint for better experiences

Going through our series of surveys, interviews and data analysis, we concluded on our key personas and target groups:

Deal Maximiser

Name: Rahul Sharma
Age: 27
Occupation: IT Professional
Income Level: Mid-level income
Tech Savvy: High

Objective:

Maximises savings by taking advantage of airline deals and bank offers.

Behaviour Patterns:

  • Will not travel to the location if good deals are not found.

  • Typically books flights weeks in advance.

  • Prefers certain distances and destinations.

Motivations:

Saving money, getting the best value for flights.

Challenges:

Limited travel dates and destinations due to budget constraints.

Preferred Platforms: 

Cleartrip, Skyscanner, MakeMyTrip.

Deal Complacent

Name: Anil Kapoor
Age: 45
Occupation: Senior Manager
Income Level: High income
Tech Savvy: Moderate

Objective:

Not particularly driven by deals; convenience & timing are more important.

Behaviour Patterns:

  • Travels regardless of deals; focuses on convenience and schedule.

  • Usually books flights close to the travel date.

  • Prefers specific destinations regardless of price.

Motivations:

Convenience, time efficiency, direct flights.

Challenges:

Limited time to search for deals, prioritises direct and timely flights.

Preferred Platforms: 

Direct airline websites, corporate travel agencies.

The problem we want to tackle ahead

The problem to tackle ahead

How might we create a one-stop deals page where users can easily find, compare and book flights at the best possible prices offered by airlines?

Diverging and Converging

Instead of ideating in silo, we decided on sourcing ideas from the whole team of product designers, product managers, marketers and engineers. This ensured a wide range of perspectives.

We conducted a session where we diverged on all probable ideas of what a deal page should be like and then prioritised them with the MoSCoW method.

This structured approach helped allocate resources effectively, focusing first on critical functionalities that build user trust and engagement, followed by important and enhancing features.

At the end of the session, some of the ideas we converged on:


This structured approach helped allocate resources effectively, focusing first on critical functionalities that build user trust and engagement, followed by important and enhancing features.

At the end of the session, some of the ideas we converged on:

❇️ Must have:

Transparent Pricing:

  • Clear breakdown of all costs including base fare, taxes, fees & additional charges.

  • Display of refund & cancellation policies upfront

Easy Search and Filtering:

  • Intuitive searches with filters for destination, travel dates, price range, airline, number of stops, etc.

  • Suggestions to enhance the search experience.

Personalized Recommendations:

  • AI-driven suggestions based on past searches, bookings, and user behaviour.

  • Customisable deal preferences (e.g. preferred airlines, budget range, travel dates).

Preferences:

  • Ability for users to save their preferences and search history.

  • Option to save favourite routes and get notifications for deals on these routes.

Real time Deals:

  • Accurate and current flight deals from various airlines.

  • Integration with airlines’ APIs to fetch the latest deals.

  • Display of deal expiration times to create urgency.

❇️ Should have:

Flight Comparison Tool:

  • Feature to compare deals from multiple airlines side-by-side.

  • Highlighting best deals based on price, duration, and number of stops.

Notification Alerts:

  • Email and push notifications for specific deals, price drops, or flash sales.

  • Ability to set alerts for preferred routes and dates.

❇️ Could have:

Travel Insurance Offers:

  • Integration with travel insurance providers to offer insurance deals along with flight bookings.

Interactive Deal Maps:

  • Visual representation of deals available for various destinations on an interactive map.

  • Heatmaps showing popular destinations and best deal zones.

Social Sharing Options:

  • Share deals on social media platforms like Facebook, Twitter, and WhatsApp.

  • Referral bonuses for users who bring in new customers through shared deals.

❇️ Won't have:

Virtual Reality Previews:

  • Offering VR previews of travel destinations as part of the deal experience.

  • Interactive VR tours of airline cabins and amenities.

Partnership with Local Businesses:

  • Integrating local deals for hotels, restaurants, and activities with flight deals.

  • Offering bundled travel packages with local experiences.

Gamification Elements:

  • Reward systems for frequent users; badges or points that can be redeemed for discounts.

  • Leaderboards for users who have availed the most deals.

For the entire project,
view on Desktop!

How do we get these “Deals”?

We define a “Deal” as when a flight ticket price is significantly lower than the average price for a defined route within a selected qualifiers, after adding in-app offers.

Airlines often reduce prices to stimulate demand during off-peak times, optimise load factors, compete with other airlines, and respond to real-time demand via dynamic pricing algorithms.

By combining these lower airline prices with platform offers, the resulting ticket price can notably be below the median route price.

Listing price of flight ticket by airlines

vs

Average flight route price

If this difference is significantly high then the system identifies these anomalies.

Listing price of flight ticket by airlines

-

Cleartrip in-app offers

=

Cleartrip
"Deal" price

Showcasing these prices on the platform will attract budget conscious travellers and drive the perception of Cleartrip as value driven. This would get in more organic traffic.

Increased deals on Cleartrip

Perception of CT as value driven

Airlines giving better deals
+
Bank giving exclusive offers

More traffic into Cleartrip

Cleartrip
"Deal" price

There were some key choices made going ahead with this feature in order for a successful release of Version 1:

  • The deals would be for the top 100 domestic sectors, which would cover almost ~50% of the domestic bookings. Post the proof of concept we will build the international use cases.

  • The deals would be for single Pax, one way journey to avoid complexities and edge cases in the proof of concept.

Initial concepts

Now that we have clarified what we consider as a “Deal”, we defined qualifiers and the user experience for each of the sections looking at the research data. Some of the concepts:

Concept 1 : Top deals

Flights with highest discounts on that day. Maximum 5 flights with minimum ₹1500 off.

Concept 2 : Last minute luck

Flight in the next 3 days.
Min. ₹500 or 10% lower than the median price of that route.

Concept 2 : Fly your way!

User can select a budget, the system will fetch all the ‘deals’ which are less than that price. 

Concept 4 : Airline exclusives

System fetched deals and filtered by carriers. This gives the ability to highlight an airline among all the other airlines.

Concept 5 : Weekend getaways

Flights cheaper than the median of every Fri, Sat and Sun flights for next 30 days.

Testing our concepts

We interviewed 10 participants from different professions to ensure a diverse and representative sample. We observed how they navigated the DealZone page, noting any confusion, hesitation or difficulty.

We encouraged them to think aloud, expressing their thoughts and reasoning as they complete tasks.

The tasks were quite straightforward:

Find a deal for a one way flight from Bangalore to Mumbai on a weekend within the next month.

Use filters to narrow down deals to flights that are under Rs. 4999.

Set up a notification alert for price drop on flights from Bangalore to Goa.

We identified common pain points and usability issues. We then analysed the effectiveness of different features (e.g., filters, alerts) and assessed overall satisfaction and ease of use.

Some of our concepts did not hit the mark as we expected. We had to rework on the way we showcased the information on the cards.

The problems we had to solve for the next stage were:

The page should not feel like a normal extension of Cleartrip and should have a character.

The discounts need to be highlighted more prominently.

The timing of the flight and date were more important to me than the airline carrier.

Kolkata

Hyderabad

CCU

HYD

17:15

19:30

Non Stop

2h 15m

₹4,987

₹5,597

11% than usual

Get it for ₹4,773

Total savings of ₹1,824

Kolkata

Bagdogra

CCU

IXB

06:50

08:10

Non Stop

1h 20m

₹3,000

₹3,500

15% than usual

Get it for ₹2,495

Total savings of ₹1560

Kolkata

Bhubaneshwar

CCU

BBI

11:35

13:05

Non Stop

1h 30m

₹2,599

₹4,183

35% than usual

Get it for ₹2,319

Total savings of ₹1,864

Cheapest fares

and the best

discounts!

A crisp loader screen while the deals are being fetched.

Auto detect feature detects your origin location. It suggests locations based on your preferences.

*some videos may take time to load

Most loved deals on Cleartrip!

Get minimum Rs. 1000 off on your flights!

Not showing all details of the cards and explicitly hiding price,
so that user engages with the card.

Weekend Specials

For your quick and easy on the pocket weekends!

Last minute Luck!

Cheapest flights from the next 3 days!

Showing expired cards to create FOMO that deals are being claimed or running out of time

Explore popular Gems

Cheapest getaways to your favourite beaches, mountains and cultural locations!

Airline Exclusives

Top airlines, unbeatable deals!

Partnering with Air Asia to get exclusive deals only on Cleartrip!

Top destinations, top prices!

Pick according to your budget.

Set custom

alerts for your

destinations!

Interactive bottom sheet

Bottom sheet with all the necessary information

Homepage entry point, showcasing the deals upfront plus a counter showing total deals claimed, and amount saved.

What were the results?

75%

visitors to Cleartrip see Deals Zone entry points

15%

users who see Deals Zone entry points click on them

Expected 20%

45%

users who enter
Deal Zone interact
with the deals

Expected 40%

3.5

times an user interacts with the deals on Deal Zone

Expected : 2 times

25%

users who are on Deals Zone proceed to the search results page.

Expected 20%

22%

of users end up booking a flight via Deal Zone

Expected 20%

8%

increase in flight booking conversions!

( in first 2 months )

Reflections and next steps

The Deals Zone project has provided valuable insights into user behaviour and preferences regarding travel deals. The high impression rate indicates strong visibility of the page, but there are opportunities to improve engagement and conversion rates.

But what can we do to achieve better results?

💌

AI-Driven Recommendations:

Displaying tailored deals based on user history, preferences, and past bookings.

🛌 🚖

Cross sell of platform offerings:

Suggesting relevant add-ons, such as hotel deals or car rentals, alongside flight deals.

🔍

Increased visibility of deals across the funnel:

Highlighting deals on search results page and across the funnel to increase visibility.

RESUME

INSTAGRAM

LINKEDIN

OTHER WORK

EPILOGUE

Have something

in mind? Let’s connect!

The website is typeset in Telegraf by Pangram-Pangram and General Sans by Indian Type Foundry. Developed in Framer. (No-code gang!)

RESUME

INSTAGRAM

LINKEDIN

OTHER WORK

EPILOGUE

Have something

in mind? Let’s connect!

The website is typeset in Telegraf by Pangram-Pangram and General Sans by Indian Type Foundry. Developed in Framer. (No-code gang!)

RESUME

INSTAGRAM

LINKEDIN

OTHER WORK

EPILOGUE

Have something

in mind?
Let’s connect!

The website is typeset in Telegraf by Pangram-Pangram and General Sans by Indian Type Foundry. Developed in Framer. (No-code gang!)

RESUME

INSTAGRAM

LINKEDIN

OTHER WORK

EPILOGUE

Have something

in mind?
Let’s connect!

The website is typeset in Telegraf by Pangram-Pangram and General Sans by Indian Type Foundry. Developed in Framer. (No-code gang!)