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Conversion

They searched the flight on Monday. On Wednesday it got cheaper. Did they hear about it?

Bicycle watches fares per route and date against their usual range and against the price each traveler last saw, and triggers an alert when a drop is big enough to bring them back.

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Before

Fares move all day. A traveler who searched and left will book if they hear about a drop in time, but nobody can watch every route and date by hand.

With Bicycle

Every significant fare drop is detected and turned into a campaign or a personal price alert, with the route, date and change attached.

What happens when a KPI moves.

  1. 01

    Detect

    A fare on a route and date moves outside its usual range, or below what a traveler last saw.

  2. 02

    Explain

    The alert carries the route, date, airline, old and new price, and the size of the change.

  3. 03

    Act

    Bicycle recommends the campaign or personal alert, and marketing's automated messages go out.

  4. 04

    Learn

    Alert volume, subscriptions and bookings tune the thresholds and which routes come first.

40M+

flight searches monitored every day

Seen at: Priceline. Read the case study

Everyone can ask. Data & Analytics controls what gets trusted, published, and acted on.

Runs on
  • Search events
  • Fare data
  • Price-watch subscriptions
Used by
  • Marketing
  • Search product
  • Revenue management

Common questions

How do you decide a price drop is big enough to alert a customer about?
Bicycle runs statistical anomaly detection on every route and date, using historical pricing as the baseline, and triggers only when a change is significant rather than noise. For travelers who subscribe, Bicycle tracks the last-notified price per person, so each alert reflects a real change from what they last saw. Routes with little search volume give too thin a signal for reliable detection.
Do you need a new data warehouse to send price-drop alerts?
No. Bicycle reads the event streams you already run, such as Kafka topics for search requests, search responses and subscription events, and writes alerts to your existing notification topic. There is no new data warehouse and no custom ETL. Origin, destination, airport variant and travel date come already modeled, so your team does not re-derive them from raw events.
How do you send price alerts without spamming customers?
Bicycle supports two motions: price-drop campaigns that your marketing team runs on popular routes, and alerts on a route and date a traveler has subscribed to. Your marketing automation sends both through the channels you already use, such as push and email. Bicycle respects the rate limits your team sets, so travelers are not spammed into unsubscribing.

More on conversion

See it on your own KPI.

Bring one revenue-critical KPI. We'll show how Bicycle detects the movement, explains the cause, and recommends the next step.

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