The news: Priceline is bringing trip planning into social media ahead of the holiday travel season.

• The online travel agency launched its Penny AI assistant inside Snapchat’s AI Sponsored Snaps, a conversational ad format that lets advertisers deploy their own chatbots in the app’s messaging inbox, per Marketing Dive.
• Users opening Snapchat can get a direct message inviting them to chat with Penny. Details shared with the chatbot, such as travel dates, carry over when users continue to Priceline’s own platform for booking.

Penny converts users at about twice the rate of non-Penny users, according to Priceline. This purchase catalyst is similar to Walmart’s findings on its Sparky AI assistant, which it says lifts average order value for users by approximately 35%.

Helping consumers compare prices and find trips that fit their budgets could be especially valuable considering the increasing cost of travel, with average domestic round-trip airfare for Thanksgiving up 31% YoY as of September, per Hopper.

Why it matters: An ad format that captures intent inside chatbot conversations could shorten the path from planning and inspiration to booking. Rather than asking consumers to get a travel idea on social media, leave the app, go to a travel site, and start their trip search from scratch, Priceline can engage with users where they’re already spending time and carry preferences from casual conversations into transactions.

That handoff could also give Priceline more insights into what travelers are looking for before they book, such as dates, party size, and other trip requirements. Those voluntarily shared details could help Penny generate more relevant recommendations and give Priceline stronger user intent signals than what it would glean from a conventional ad click.

Recommendations for brands: Use conversational interactions to move beyond demographic targeting and identify specific user needs—those looking for the cheapest flight, prioritizing flexibility, or planning a family vacation may fall into the same demographic bucket but have very different purchase motivations.

Casual conversations can also provide product intelligence. Analyzing patterns in what consumers ask for, the features they prioritize, which perks drive bookings, and the tradeoffs they accept could inform product development and pricing strategies outside of ad targeting efforts.

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