DESIGN THE RIGHT MIX OF ANCILLARY OFFERINGS

Ancillary revenues are critical for airlines – representing nearly 10% of all worldwide airline revenues and driving in excess of $70B for the industry, each year. But maximizing ancillary revenues can be a difficult analytical challenge. 1010data lets you bring together and analyze massive volumes of complex data from disparate sources – so you have the insights you need to boost ancillary revenues.

UNDERSTAND THE OPPORTUNITY

Unify Your Big Data

Bring together web, mobile, call center, passenger, loyalty, point-of-sale and point-of-service data to gain a full picture of ancillary revenues.

Ask and Answer Any Question

Use powerful ad hoc analytics capabilities to deeply understand the customer, their preferences, and the behaviors that are predictive of ancillary purchases.

Target Your Best Customers

Identify and target passengers most likely to make ancillary purchases.

MAXIMIZE PROFITABILITY OF ANCILLARY SERVICES

Construct Optimal Offerings

Determine the mix of ancillary offerings that should be offered to specific types passengers, on specific routes. You can know, for instance, which city pairs in a search correlate to the highest rates of comfort upgrades, priority boarding requests and car rental or hotel add-ons.

Maximize Conversion

Analyze previous behavior, purchases and destinations for all your passengers and loyalty members, using the insights to target new prospective passengers who are likely to take advantage of ancillary offerings.

Enable Better Decision-Making

Leverage intuitive analytical tools, KPIs, reports and dashboards that give your entire organization the insights needed to convert more travelers, grow revenues, and increase loyalty across all channels.

Video

1010data Perspectives - Data Unification & Harmonization

A video series featuring 1010data executives and their insight on data unification & harmonization

forrester wave q3 2017 report
Analyst Report

Forrester Wave Q3 2017

1010data named a leader in The Forrester Wave™: Enterprise BI Platforms With Majority Cloud Deployments, Q3 2017

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