Optimizely - Air Inc. Integration and Automation

Common Integration Use Cases Between Optimizely and Air Inc.

1. Personalize travel or service offers based on customer behavior

Data flow: Air Inc. ? Optimizely

Air Inc. can send customer profile, booking history, route preferences, loyalty status, and recent search activity into Optimizely to tailor website or app experiences. Marketing and digital teams can then run targeted experiments on homepage banners, offer placements, and call-to-action messaging for different traveler segments.

Business value: Improves conversion rates by showing the most relevant offers to each customer segment and reduces friction in the booking journey.

2. Test booking flow changes before full rollout

Data flow: Optimizely ? Air Inc.

Optimizely can capture experiment results from A/B tests on booking steps, fare display formats, seat selection, or checkout layouts and pass winning variants or performance insights back to Air Inc. product and engineering teams. This supports controlled rollout of changes that improve completion rates and reduce abandonment.

Business value: Lowers risk when changing critical customer journeys and helps teams prioritize improvements based on measured impact.

3. Trigger personalized content based on operational events

Data flow: Air Inc. ? Optimizely

When Air Inc. detects events such as flight delays, cancellations, gate changes, or service disruptions, those events can be sent to Optimizely to adjust the digital experience in real time. Customers can be shown relevant alerts, rebooking options, travel policy guidance, or compensation messaging based on their situation.

Business value: Improves customer communication during disruptions and reduces support volume by surfacing the right information proactively.

4. Optimize loyalty and upsell campaigns

Data flow: Bi-directional

Air Inc. can provide loyalty tier, points balance, and ancillary purchase history to Optimizely, while Optimizely returns experiment performance data on upsell placements for baggage, upgrades, lounge access, or priority boarding. Loyalty, revenue management, and digital teams can jointly refine offers by segment and channel.

Business value: Increases ancillary revenue and loyalty engagement through more relevant and better-timed offers.

5. Synchronize audience segments with CRM and campaign tools

Data flow: Optimizely ? Air Inc.

Optimizely experiment outcomes and audience behavior can be pushed into Air Inc. systems to enrich customer segments for email, SMS, and retargeting campaigns. For example, users who respond positively to a fare discount test can be added to a high-intent audience for follow-up offers.

Business value: Creates a consistent customer view across digital and marketing channels and improves campaign targeting efficiency.

6. Improve mobile app onboarding and account creation

Data flow: Bi-directional

Air Inc. can share app usage signals, account status, and authentication events with Optimizely to test onboarding flows, registration prompts, and login experiences. Optimizely can then identify which onboarding variant leads to higher account completion and first booking rates.

Business value: Reduces drop-off in early customer lifecycle stages and accelerates conversion from app install to active user.

7. Support content and offer governance across teams

Data flow: Optimizely ? Air Inc.

Air Inc. can use Optimizely to manage controlled exposure of new content, promotions, and policy messaging across regions, customer types, or devices. Results can be shared with operations, legal, and customer service teams to ensure approved messaging is deployed consistently and tested before broad release.

Business value: Improves cross-functional alignment, reduces content risk, and speeds up approval of customer-facing changes.

8. Measure the impact of service recovery and retention actions

Data flow: Air Inc. ? Optimizely

After a service issue, Air Inc. can send recovery events such as voucher issuance, apology messaging, or rebooking assistance into Optimizely to test which recovery approach best retains customers. Teams can compare outcomes like repeat booking, complaint reduction, and customer satisfaction across different recovery treatments.

Business value: Helps identify the most effective retention actions after disruption and improves long-term customer loyalty.