INDUSTRY/Travel
Fill seats. Raise basket. Return the trip.
Markin triggers the right ancillary, upgrade or return-trip nudge at the exact moment intent peaks, across booking, in-trip and post-trip.
Markin for Travel
+€14
ancillary revenue per booking
+21%
return-trip rate at 90 days
+9pt
premium cabin mix
The reality today
What growth looks like in travel.
Every travel team we talk to fights the same set of frictions. Markin doesn’t add a tool on top, it replaces the rule trees and segments with a decision per user.
- Ancillary revenue capped by static merchandising rules.
- Return-trip rate depends on generic newsletters.
- Loyalty tiers reward frequency, not real economics.
- Disruptions burn loyalty because recovery is one-size-fits-all.
Use cases
How travel teams grow ARPU with Markin.
Ancillaries
The right add-on, timed right
Bags, seat, lounge, insurance, each offer tuned per traveler and per moment in the journey, from booking to gate.
Explore the solutionNext best offer · scored per user
Upgrade
Sell premium at the right price
Agents price and offer cabin upgrades per user, per route, per moment, turning empty premium seats into ARPU.
Explore the solutionPlan match · per user
Basic
Recommended for this user
€9
Premium
€14
Annual
€119
Loyalty
Return the trip
Personal reasons to book again, tied to destinations, seasons and status milestones the traveler actually cares about.
Explore the solutionTier progress · Gold
3 more sessions this week to unlock a personal reward.
Personal challenge activeRecovery
Turn disruptions into loyalty
When flights slip, the right proactive gesture, voucher, upgrade, human message, protects the next booking.
Explore the solutionMessage composed · 1:1
Preview
Hey Sara, your usual weekend picks are 20% off through Sunday.
Sent 09:14 local · optimal open window
The actual difference
A decisioning engine picks the best action from a list you wrote. Markin writes the list, and runs it in your stack.
Think of Markin as a data science and growth team that never sleeps: it investigates, forms hypotheses, ships them into your own stack and proves each one against a control group, at a volume no human team can reach.
- Marketing
- Product
- Commercial
- Technical health
Hypothesis space
Everything a human growth scientist would look at.
Most growth problems are not message problems. Markin is not restricted to the campaign surface: if something is holding ARPU back, it is in scope, and it gets tested the same way.
Marketing
The classic surface, but chosen per customer rather than per segment, and always against a holdout.
- Which offer this specific customer is worth making
- Channel and timing chosen per person, not per campaign
- Contact pressure and fatigue arbitrated across every programme
- Win-back economics: who is worth a discount and who is not
Product
Where the customer actually experiences the value, and where most silent revenue loss happens.
- Onboarding steps that lose customers before first value
- A feature with high retention correlation that half the base never discovers
- Paywall and upgrade prompt placement
- In-product surfaces used as a treatment arm, not just email and push
Commercial
Pricing, packaging and the shape of the offer itself, tested rather than argued about.
- Plan and bundle structure by cohort
- Discount depth against margin, not against conversion alone
- Annual versus monthly framing per customer
- Dunning and involuntary churn recovery sequences
Technical health
Anomalies nobody asked it to look for. This is the category no decisioning engine covers.
- A checkout error rate that rose on one device and one region
- Payment failures concentrated in a single issuer or method
- A broken deeplink quietly killing a high-value journey
- Latency or delivery degradation eating conversion before any message does
Think of Markin as a data science and growth team that never sleeps: it investigates, forms hypotheses, ships them into your own stack and proves each one against a control group, at a volume no human team can reach.
Ancillaries used to be a static merchandising problem. Markin turned it into a 1:1 decision, and put €14 of extra revenue on every booking.
SVP Digital
European flag carrier
Solutions
Solutions for travel.
The growth motions Markin runs on your travel stack, on day one.
FAQ
How fast can we see impact in travel?
Most teams run a first pilot in 30 days on a single motion (e.g. churn or cross-sell) and see measurable ARPU lift inside 90 days.
Do we need to move our data?
No. Markin reads from your warehouse, CDP or product events directly, nothing gets copied, nothing gets locked in.
How does Markin fit our existing CRM, app and contact center?
Markin executes into the systems you already have, Braze, Iterable, Salesforce, Twilio, your own app SDKs and contact-center tools, via native integrations.
How is this different from a rules engine or campaign tool?
You don’t author segments or rule trees. Agents decide per person, per moment, and are evaluated against ARPU, not opens or clicks.
What about data security and compliance?
Markin is SOC 2, ISO 27001 and GDPR ready, with least-privilege access, per-tenant encryption and audit logs on every agent decision.
See Markin run on your travel stack.
A 30-minute demo on your real data, the same agents, the same decisions, the same 1:1 execution.