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Travel / Data & AI

A personalisation engine that lifted ancillary sales for a holiday operator

A mid-market holiday operator was selling far fewer extras — transfers, insurance, excursions, upgrades — than the industry norm, because every customer got the same generic emails. We unified their customer data and built a personalisation engine that offers the right extra at the right moment.

ClientPackage holiday operator (confidential)
IndustryTravel / Data & AI
What we deliveredCustomer data platform, recommendation engine, marketing automation
A personalisation engine that lifted ancillary sales for a holiday operator
One profileFour data sources unified per customer
Right timeOffers timed to the departure countdown
DoubledAncillary attachment rate

01 The challenge

Customer data sat in four disconnected systems: bookings, web analytics, email and customer service. Post-booking emails were one-size-fits-all and rarely clicked. The business could not tell which customers were likely to want a transfer versus an excursion, or when in the countdown to departure they were most likely to buy.

02 What we did

  • Customer data platform merging booking, web, email and service history into one profile
  • Recommendation models scoring each customer's likelihood to buy each ancillary, and the best timing before departure
  • Marketing automation driving personalised email, app and web offers from those scores
  • Experimentation framework to test offers and timing against control groups
  • Dashboards for revenue by ancillary, channel and segment

03 The results

  • Ancillary attachment rate more than doubled within the first year
  • Email click-through rates rose several-fold
  • Seven-figure additional upsell revenue in year one
  • Transfer attachment in particular rose sharply

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