CDP for hospitality and travel
Predictive analytics solutions for retail & hospitality
Offer personalised digital and in-person experiences to every customer, every time.
Unique challenges in hospitality and travel
The hospitality and travel industries have outsized potential for creating memorable customer experiences — and the rewards are high when you pull it off.
But the companies that consistently come out on top are the ones that can overcome the challenges of customer data marketing:
- Hospitality and travel is incredibly driven by promotions, which requires intelligent insights to manage discounts without compromising profitability.
- You have fewer customer touchpoints than many retail industries, making every interaction crucial.
- While most industries rely on a multitude of transaction data to understand their customers, you’re mostly confined to booking and billing information.
- You have to work with this limited data to create personalised experiences, which can be the difference between an OK in-person experience and a great one.
You need a way to enhance the limited data you have to provide customers with something special in the moment.
How predictive analytics in the hospitality industry can help
Our specialised Unilyze customer data technology platform offers solutions for the unique challenges faced by the hospitality and travel sectors. Find out how predictive analytics in the hospitality and travel industry can help, whether it’s for restaurants, dining, bars or tourism.
Create a full Single Customer View with the data you have
- Data integration: Merge various data flows to present a comprehensive view of your customer, allowing you to craft more intelligent customer journeys with even more relevant offers.
- Clienteling: Integrate customer data seamlessly into your clienteling systems, enhancing a frictionless customer experience from digital touchpoints to in-person interactions.
Get a deep insight into every customers’ preferences
- Enhanced personalisation: Personalisation is a 1-1 experience at its core. By diving deep into customer data, we help businesses identify and understand individual customer needs, both digitally and in-person.
- Promotion management: Our data analytics give businesses insights into effective promotion management, ensuring that discounts are compelling but profitable.
- Predict customer value: Modules like our Future Value Model use machine learning to identify which customers are most likely to be more valuable for you online and on-site, so you can tailor communications and offers based on ROI.
Make every customer interaction memorable
- Pre-and post-purchase optimisation: Anticipate customer needs with pre- and post-purchasing data insights — so you can offer even more relevant proactive recommendations.
- Seamless cross-channel communication: Ensure customers receive consistent messages, whether they’re interacting with your brand online, through an app, or in person.
- Customised offers: Deploy tailored promotions and offers to customers based on their previous bookings, preferences and behaviours.
- More valuable loyalty programs: Lead customers through overt or covert loyalty schemes that are designed to give them more relevant rewards, and strengthen your relationship.
Travel and hospitality CDP case studies
Don’t just take our word for it — read up on our retail case studies to learn more about how companies like yours use Plinc’s data solutions to elevate and activate their customer data.
Crew Clothing get real-time insights in their Black Friday war room
Q. How did Crew Clothing get customer insights in their Black Friday War …
Halfords connects customer data to promote loyalty
Q. How did Halfords deliver real value through their loyalty program?…
M&S International use Future Value Model for promotional segmentation
To increase retention and optimise marketing spend across these markets, …
Matching diners to dinners at Prezzo
Q. How did Prezzo streamline its voucher promotions process and accurately …
SCV powers customer-centricity at Halfords
Q. How can Halfords understand customer behaviour groupwide to develop a …
Hyper-personalisation boosts PlayStation’s engagement by 30%
Q. How did PlayStation achieve a massive 30% increase in engagement across …
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