It’s time for the monthly product update from Aislelabs. Login to see all new features in your account.
What’s new this month:
- Collecting Custom Schema Data in All Splash Page Types
- Improved Algorithms for Matching Passengers to Flight
Below, find more details about this month’s new and improved enhancements.
Collecting Custom Schema Data in All Splash Page Types
The definition of data collection or data gathering can be described as:
“The process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes.” – Wikipedia
Logging into a splash page can capture a lot of information:
With this feature release found inside Aislelabs Portal Editor, our customers can choose what information they want to collect. Customers can set up a login using Facebook or Instagram, or any other social media; along with custom data fields. And customers can choose which fields they want to collect and store.
Custom schema data collection involves creating structured forms or interactive elements that prompt users to provide personalized information, such as their preferences, interests, or demographics. This data is essential for personalizing the user experience, offering relevant content, and tailoring marketing efforts to individual visitors. By Aislelabs implementing this strategy across all types of splash pages, website owners can better understand and engage with their audience, improving user satisfaction and better conversion rates.
Benefits when using Aislelabs splash pages:
Personalized User Experience – By collecting custom schema data, websites can tailor their content, recommendations, and promotions to match the unique preferences and interests of individual visitors, thus providing a more personalized user experience.
Enhanced Data Analysis – Custom schema data can be valuable for understanding user behavior, identifying trends, and making data-driven decisions to refine website design and content strategies.
Optimized Content Delivery – Content can be dynamically adjusted based on collected data, ensuring that visitors are presented with the most relevant information, at the right time, increasing user satisfaction.
Higher Conversion Rates – The ability to customize content & offers based on user data often leads to improved conversion rates, as visitors are more likely to engage with and act upon tailored recommendations.
Improved Algorithms for Matching Passengers to Flight
The concept of “matching passengers to flight” is rooted in the domain of travel management. It refers to the development and implementation of more advanced and efficient ways to facilitate the allocation of passengers. This allocation process considers many factors such as passenger preferences, available flight options, and operational constraints.
The improved algorithms at Aislelabs aim to enhance the passenger experience by minimizing delays, and optimizing resource allocation.
By utilizing innovative technology and data analysis, these algorithms can help enhance customer satisfaction, resulting in a more efficient and enjoyable travel experience for passengers.
Benefits when using Aislelabs technology in an airport environment:
Enhanced Passenger Satisfaction – Aislelabs algorithms lead to better travel experience for passengers.
Optimized Resource Allocation – Efficient passenger-to-flight matching algorithms enable better use of resources, resulting in cost savings & improved operational efficiency.
Improved Revenue Management – Aislelabs can help maximize revenue by ensuring better profitability and yield management.
With Aislelabs’ improved algorithms and methods for collecting data safely, businesses and their customers can have a more personalized experience. However, it is crucial to stress the importance of enhancing privacy and better attribution in both practices.
As businesses collect more user data to personalize experiences and optimize operations, it is paramount to prioritize and protect user privacy. Striking the right balance between personalization and privacy is a challenge that requires careful consideration and robust data protection measures.
Additionally, attributing retail spaces or lounges visited by passengers should be done with transparency and user consent. Respecting passenger choices regarding how their data is used and shared is essential. When passengers can trust that their data is handled responsibly and that their preferences are respected, it not only enhances their experience but also fosters long-term loyalty.
Did you see the September updates?
See you next month!