
Airship Unveils Branching and Custom Views, Powering Unprecedented Agility and Personalization in Cross-Channel Customer Experiences
Portland, Ore., United States:
In an era where customer attention is scarce and expectations for seamless interactions are paramount, Airship, the cross-channel customer experience company, today unveiled two transformative capabilities to its Airship Experience Platform: Branching and Custom Views. These new innovations enable marketing, product and growth teams to move beyond generic, one-size-fits-all digital experiences and avoid the costly time and resource drain of rebuilding proven native content for novel uses.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20250527045487/en/
Customers abandoning a shopping cart can be greeted on the next app open or website visit with a fully functional shopping cart allowing them to make final selections and complete the purchase without replicating any code using Airship Custom Views.
Static and disconnected customer experiences are a leading cause of user drop-off and missed conversions. Airship's new Branching capability empowers marketers to craft responsive experiences for apps and websites that dynamically adapt in real-time to individual user behaviors, keeping them engaged through tailored journeys — from onboarding flows that intelligently skip irrelevant steps, surveys that dynamically adjust based on previous answers, or promotional flows that pivot instantly based on expressed interest. No code, no dev time — just smarter content, better data and higher conversions.
Complementing this, Custom Views empowers marketers to dramatically increase efficiency and consistency by reusing existing, high-performing native elements from their app or website — such as interactive maps, shopping carts, saved favorites or lists, booking interfaces, loyalty dashboards or even native ad units — directly within their cross-channel experiences. This eliminates redundant development, accelerating the launch of richer, more functional, high-quality customer experiences across all digital touchpoints.
'For too long, marketing and product teams have been forced to choose between personalized experiences and scalable execution, often sacrificing one for the other or waiting in long development queues,' said Mike Herrick, CTO, Airship. 'With Branching and Custom Views, we are empowering marketers to break free from outdated constraints, to build truly adaptive experiences that resonate deeply with individuals, and to do so with an efficiency that directly impacts the bottom line. This is about giving brands the tools to not only meet customer expectations but to consistently exceed them and unlock greater value from every customer interaction.'
Like all Airship no-code solutions, Branching and Custom Views use an intuitive visual editor and tap into the platform's AI-powered automation, segmentation and experimentation — empowering marketers to deliver one-to-one experiences with precision that would be difficult for technical teams to replicate, which in turn frees those teams to focus on major new innovations and features. Together, Branching and Custom Views empower brands to efficiently deliver agile, contextually relevant customer experiences defined by unprecedented personalization and interactivity. This is a significant leap forward, liberating marketers, product and growth teams to unify and optimize end-to-end customer journeys and ensure that every customer interaction is an opportunity to deepen loyalty, accelerate business growth and increase customer lifetime value.
About Airship
Airship is trusted by world's leading brands such as Alaska Airlines, BBC and The Home Depot to drive revenue growth and customer loyalty with exceptional cross-channel customer experiences. Today brands are challenged to deliver seamless, unified customer experiences across a fragmented array of channels and devices — apps, websites, email, SMS, wallets and more.
Airship's no-code, AI-powered platform was designed with non-technical, growth-focused teams in mind, making it easy to create, test and orchestrate hyper-personalized experiences across all channels. With the ability to easily enrich customer data and rapidly launch growth experiments, Airship enables brands to deliver consistent, meaningful interactions that accelerate conversion and foster deeper customer relationships — accelerating growth and loyalty.
For more information, visit www.airship.com.
View source version on businesswire.com: https://www.businesswire.com/news/home/20250527045487/en/
Disclaimer: The above press release comes to you under an arrangement with Business Wire. Business Upturn takes no editorial responsibility for the same.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
11-06-2025
- Yahoo
Senior U.S. Defense And Policy Veterans Join Aeros To Accelerate National Cargo Airship Deployment
Dr. Anthony Tether (Former DARPA Director), Gen. Raymond Johns (Ret.), and Former Governor Mark Sanford Appointed to Advisory Board Driving the Airship-Based, Infrastructure-Free Logistics Revolution. Los Angeles, California--(Newsfile Corp. - June 11, 2025) - Aeros, the pioneer of electric Variable Buoyancy Airships (eVBA), proudly announces the formation of its Government Advisory Board-an elite panel of national leaders in defense, logistics, and public policy. The board is convened to accelerate Aeros' mission of delivering zero-emission, infrastructure-free air logistics in collaboration with government agencies. Aeros Government Advisory Board Members To view an enhanced version of this graphic, please visit: The founding members of the board include: Dr. Anthony Tether, former and longest-serving Director of the Defense Advanced Research Projects Agency (DARPA), who led the agency during its early support of the Aeroscraft airship development. "I've followed the evolution of this technology since our early DARPA days. Aeros is now at the cusp of delivering real-world solutions that redefine strategic and tactical logistics. It's time to help bring that vision to full scale." The Honorable General Raymond Johns (Ret.), former Commander of U.S. Air Mobility Command. With decades of experience orchestrating the movement of personnel and cargo on a global scale, General Johns brings unparalleled insight into large-scale aerial logistics operations, military mobility strategy, and government readiness planning. "Our nation's logistics infrastructure, especially for the military, needs modernization. Aeros brings a platform that's scalable, strategic, and mission-ready. I'm excited to guide their efforts as they move from prototype to operational capability." The Honorable Mark Sanford, former U.S. Congressman and Governor of South Carolina, now CEO of a private last-mile logistics company. "I've worked on both sides of the logistics equation-from federal infrastructure policy to e-commerce fulfillment. What Aeros offers is a game-changer in all logistics needs, from humanitarian aids to commercial." The Government Advisory Board will help Aeros navigate regulatory pathways, pursue strategic public-private partnerships, and align its technology with national priorities for disaster response, defense, and sustainable infrastructure. About Aeros: Aeros is a global leader in designing, FAA certifying, manufacturing, and delivering advanced airships and aerostats worldwide. For over a century, airships have faced a fundamental challenge-losing stability as cargo is unloaded. Competitors have failed to solve this. Aeros has not only solved it-we've patented it. Like a submarine adjusting depth, our aircraft control buoyancy in real-time, enabling unrestricted logistics from transcontinental freight to last-mile delivery-without ground infrastructure. For more information about Aeros, visit Media Contact:Aeros Tsangaeros_pr@ Angeles, California, United Stateshttps:// To view the source version of this press release, please visit


Fast Company
09-06-2025
- Fast Company
This stratospheric airship is 65,000 miles above Earth investigating which gas companies are leaking methane
Inside an airplane hangar in Roswell, New Mexico, a massive blimp-like airship—214 feet long—is getting ready to float into the stratosphere. Built by a startup called Sceye (pronounced 'sky'), the helium-filled aircraft is designed to gather information that satellites miss. In its next flight, in July, it will hover over New Mexico sending back real-time data about pollution from the state's hundreds of oil and gas producers. It can report not only that there's a plume of methane pollution in the air, but that a particular gas tank from a particular company is leaking a specific amount of the potent greenhouse gas each hour. 'We can see the specific emitter and the rate of emissions in real time,' says Mikkel Vestergaard Frandsen, Sceye's CEO. 'And that's entirely new.' How a social entrepreneur started working with NASA tech Frandsen, a Danish social entrepreneur, is known for transforming Vestergaard, his family's textile business, into a company focused on humanitarian innovation. (The company makes mosquito nets to help fight malaria, for example, and a spinoff called LifeStraw makes water purification tech.) Because of his work, Frandsen was invited to be part of an effort to discover how tech from NASA could be used to help improve life on Earth. That's how he learned about HAPS, or 'high-altitude platform systems,' the technology that now underlies Sceye's work. HAPS are designed to go to the edge of space, around 65,000 feet above the surface of the Earth. 'You're twice as high as air traffic, you're above the jet stream, you're 95-97% through the atmosphere,' Frandsen says. 'So you can look up with great accuracy at stars, study black holes, look at asteroids. They were promoting this as a platform for science. I was reading this and thinking, sure, but you can also look down. You can have an entirely new way of addressing ocean conservation, or human trafficking, or last-mile connectivity, or methane monitoring, or early wildfire detection.' The concept for a HAPS airship wasn't new. 'It turned out the U.S. government had already spent billions trying to build this 'stratospheric airship' because staying below orbital altitude was considered sort of the holy grail of aviation,' he says. He started looking into why past efforts in the 1990s and early 2000s hadn't worked, and realized that some factors had changed. New materials like graphene, for example, could help significantly reduce the weight of the airship and the batteries onboard. A decade of R&D Sceye, which was founded in 2014 and is based in New Mexico, took an iterative approach to its R&D. 'I learned from studying those previous attempts that government funding often incentives you to go straight to prototype build,' he says. 'You don't have that iterative learning that tells you if you fail, why did you fail? Or if you succeed, why did you succeed? In every case, it didn't succeed, and they didn't really get their arms around the 'why.' So it all stranded there.' In 2026, the startup tested a nine-foot version of the device. A year later, that scaled up to 70 feet. The prototypes kept growing and flying higher. By 2021, the team succeeded in reaching the stratosphere. In 2022, they started doing demonstration flights. A year ago, the company successfully showed that the airship could operate through day and night. In the day, it runs on solar power; at night, it's powered by batteries. The company also raised a Series C round of funding in 2024, which Pitchbook estimates totalling $130 million. (Sceye declined to confirm fundraising numbers, but said that it was valued at $525 million before the Series C round.) This year, the company plans to use its flights to demonstrate that the tech can hover in place for extended periods of time. Eventually, the team aims to be able to keep the HAPS in position for as long as 365 days. The 2025 flights will also demonstrate some of the uses of the tech. The company plans to deploy its platform in several ways; the next flight will also test the ability to track wildfires, for example. But it's particularly well suited for tracking methane emissions. A powerful tool for tracking methane Methane is potent greenhouse gas. Over the short term, it's more than 80 times more powerful than CO2 at heating up the planet. Methane emissions are also surging; leaks from fossil fuel production are a major source of the pollution. New Mexico, which is part of the Permian Basin boom in oil and gas, adopted a methane waste rule in 2021 to try to tackle the problem. By the end of next year, producers will have to achieve a 98% capture rate for methane. 'We are looking at how we can make sure that gas is kept in the pipe and goes to its intended market instead of being released into the atmosphere,' says Michelle Miano, environmental protection division director at the New Mexico Environment Department. The state started working with Sceye in 2021, in a partnership with the EPA. Right now, much of the data about emissions comes directly from companies themselves; that obviously makes it difficult for the state to confirm accuracy. Satellite data can also help track methane emissions, but not in the same granular detail. 'From space, it takes a lot of time in order to crunch that data and trace it back and figure out who exactly is the emitter in a certain region,' says Miano. 'With technology that's closer to the ground, there is the ability to get closer to some of the facilities to understand more specifically where they might be coming from.' Because the Sceye airship is designed to stay in one position, it can continuously monitor emissions over hundreds of square miles in a region. Infrared sensors monitor methane emissions, while cameras take detailed photographs that can be overlaid with that data. The system means that it's possible to spot leaks that a satellite can miss because it only passes over an area temporarily. Satellites also don't have the same resolution. The European Space Agency's Sentinel-5, for example, sees methane in pixels that each represent seven square kilometers; the HAPS can get as close as one meter. (Sceye says that its approach is also more cost-effective than some other methods, including sensors on the ground that are slow to install, and planes or drones that have high hourly rates and can only take snapshots.) 'If we work with an oil company, we can say, 'Hey, well number 62 has been leaking 68 kilos of methane per hour for the last 12 minutes,' Frandsen says. The company is now negotiating contracts with some fossil fuel companies, and planning to begin demonstration flights for them this year and commercial contracts next year. In a test flight over New Mexico last year, the team identified a 'super emitter' in Texas that was pumping an estimated 1,000 kilograms of methane an hour into the air—the equivalent of the hourly emissions from 210,000 cars. When Sceye shared that data with the EPA last year, it's not clear if the agency sent a warning letter to the polluter. Now, the Trump-era EPA is pulling back on enforcement. Congress also voted to stop the EPA from implementing a tax on excess methane emissions. But the New Mexico state government plans to continue doing as much as it can to fight pollution. Sceye's data could help it work more efficiently. 'We are looking at how to increase funding for our agencies so that we are able to utilize technologies technologies that are coming online up and beyond standard reporting and standard on-the-ground inspections,' Miano says. 'Because we have a limited staff, there are new ways that we need to continue looking at facilities with compliance issues to make sure that we can address as much as possible.'


Business Wire
04-06-2025
- Business Wire
Sigma Launches Native Semantic Layer Integration and AI SQL Capabilities on Snowflake AI Data Cloud
SAN FRANCISCO--(BUSINESS WIRE)--Sigma, the industry-leading analytics platform with unique cloud data platform writeback capabilities, today announced at Snowflake Summit 2025, two major platform innovations in partnership with Snowflake: a first-class integration with Snowflake Semantic Views and support for AI SQL, Snowflake's breakthrough feature for querying unstructured data. Together, these advances enable governed semantic exploration and file-based AI-powered analysis—directly in Sigma's intuitive, spreadsheet-like interface. The combined innovations mark a leap toward unified analytics where both structured metrics and raw human context—contracts, images, PDFs, and text—are queryable side-by-side in a single governed system. 'Sigma is building toward a future where every layer of the data stack speaks the same language—defined once, executed everywhere.' Query Semantic Views Directly in Sigma With this integration, Sigma unlocks warehouse-defined metrics, dimensions, and relationships for downstream analysis, dashboards, and apps – cementing the data warehouse as the single source of truth for semantics. This new integration offers joint customers the most seamless, warehouse-native analytics experience on the market. By partnering with Snowflake, the AI Data Cloud company, Sigma is helping to fully realize a long-held industry vision: semantic logic defined once, governed centrally, and accessed directly in the warehouse—no duplication, no drift. Together, the companies are mobilizing the world's data to help organizations operate in an environment where semantic logic lives natively in the warehouse, not duplicated across disconnected tools. 'Sigma's integration with Snowflake Semantic Views isn't just compatible — it's truly native, built for flexibility, scale, and the next generation of analytics,' said Mike Palmer, CEO of Sigma. 'By meeting the semantic layer where it belongs, we're giving business teams instant access to governed metrics and logic without compromise. And this is just the beginning. From bi-directional syncs to visual semantic exploration, Sigma is building toward a unified modeling experience that brings clarity and control to every layer of the data stack.' 'The integration between Sigma and Snowflake's Semantic Views marks an important step forward in enabling enterprises to leverage the state-of-the-art AI solutions available with Snowflake Intelligence and Cortex Analyst,' said Carl Perry, Head of Analytics, Snowflake. 'This advancement helps our customers maximize the value of their data within Snowflake's AI Data Cloud through AI and BI experiences, creating more efficient and powerful workflows for their teams.' 'This is a major leap forward in delivering a consistent, governed experience powered entirely by Snowflake,' added Palmer. 'Sigma is building toward a future where every layer of the data stack speaks the same language—defined once, executed everywhere.' Bringing Structure to Unstructured Data - Powered by Cortex AISQL Also announced today at Snowflake Summit 2025, is the news that Sigma is among the first analytics platforms to fully support Snowflake AI SQL, a new capability that lets users query unstructured data—like contracts, receipts, product specs, and image files—as if it lived in a table. This news comes on the heels of Sigma's recent launch of its new File Column Type feature, allowing end users to connect unstructured content with structured data for the first time, making complex, real-world workflows fully executable inside Sigma. Teams can upload files with Sigma, run them through Snowflake's powerful LLM-based functions, and analyze the structured results alongside traditional datasets—no pipelines and no special tools required. 'For decades, legacy BI tools assumed your data was clean, structured, and waiting politely in rows and columns,' said Palmer. 'But some of the most important business decisions are made with the messy stuff: legal documents, compliance PDFs, screenshots, receipts, product specs, and annotated images. Historically, those formats required a human in the loop: to read, interpret, and manually extract insights. That's the bottleneck AI SQL removes. Sigma and Snowflake turn human knowledge into scalable systems, unlocking entirely new types of analysis across industries and teams.' 'Every organization recognizes the potential of AI. But too often, harnessing AI means overcoming complex infrastructure, performance limitations, high costs, and a reliance on engineers to build custom pipelines,' said Perry. 'We're removing those barriers, whether it's enabling anyone to analyze and act on all their data with Cortex AISQL or accelerating migrations off legacy systems through SnowConvert AI. By empowering teams to move faster, work smarter, and turn data into real impact, we're reimagining analytics for the AI era.' Snowflake's AI SQL functions analyze the content using LLMs, and Sigma picks up the structured output and renders it live in dashboards or workflows. This unlocks transformative use cases: Process thousands of vendor contracts Review receipts as part of claims workflows Extract key clauses from dense legal agreements Attach evidence to operational data for full-context analytics There's no need for custom pipelines, reformatting, or manual review. Just files in, answers out. Governed, traceable, and ready to use. Joint customers can start using the semantic layer integration immediately through their existing Snowflake and Sigma environments as well as the full support for Cortex AISQL. For more information on Sigma's integration with Snowflake Semantic Views, click here and for more information on Snowflake's AI SQL function, read here. ABOUT SIGMA Sigma is business intelligence built for the cloud. With a spreadsheet UI, business users can work in the formulas and functions they already know, while more technical users can write SQL and apply AI models to data. Sigma queries the cloud warehouse directly, making it incredibly fast and secure—data never leaves the warehouse, and Sigma can analyze billions of rows in seconds. Beyond dashboards and reports, teams use Sigma to build custom data apps, which integrate live data with end user input. Sigma is the first analytics platform to enable data writeback, and continues to lead the market with innovation across AI, reporting, and embedded analytics.