Market research is expensive and time-consuming - and not every company can afford it. Even if the budget is available, surveys or user tests can take forever. This is exactly where Experial comes in. The platform offers a smart, AI-supported solution for consumer research and provides real-time insights through so-called "digital twins".
Imagine you could access a representative panel of customers at any time and get their opinion on new products, marketing campaigns or pricing strategies - in real time. This is exactly what Experial makes possible with its digital twin technology.
But how does it all work?
The digital twins are fed with huge data sets that come from various sources, such as surveys, social media posts, product reviews and other publicly available data. This information includes demographic data, consumer preferences, interests and opinions. This enables the twins to map precise target groups.
Companies can ask these digital twins specific questions - similar to conventional surveys. The big difference? The answers are available at lightning speed and in a depth and quantity that traditional methods cannot provide.
The story of Experial is an impressive example of how a startup develops a solution to a specific problem in an agile way, resulting in a revolutionary vision.
Nader Fadl and his co-founder Tobi initially started out as a digital agency that built web and mobile apps for various clients. Over time, they specialized more and more in the development of digital products. In doing so, they constantly encountered similar problems:
- Decisions are often based on gut feeling, not on sound data.
- Market research was time-consuming, expensive and inefficient.
- The insights gained were mostly selective and not scalable.
This is how the idea for Experial was born - with the aim of offering companies a faster and more efficient way of collecting and evaluating customer feedback.
Nader and Tobi relied on no-code to build the platform and brought us on board from VisualMakers. Because Nader already had experience with no-code, he knew that the platform, which itself resembles a no-code editor, could be built with no-code. So we combined WeWeb and Xano - two tools that together offer an intuitive development environment for creating complex web applications without in-depth programming knowledge.
"No-code was a real game changer for us," says Nader. "We can develop and test new features and functions much faster than with traditional programming. This allows us to respond to new requirements in an agile way and continuously improve the platform." So while we were building the platform, the programmers at Experial were able to concentrate on the AI.
Of course, there were a few challenges with a project of this size. Tim, our no-code developer, says: "The scalability of the platform was one of the biggest challenges. WeWeb and Xano are powerful, but with a project of this size you have to plan and test carefully to ensure the platform remains stable even under high load."
The solution? A hybrid approach: a combination of no-code and custom code to optimize performance. For specific functions, such as voice recording as an input field (similar to WhatsApp), we had to integrate external services because WeWeb does not offer this feature natively. This was the biggest challenge for Tim.
The example of Experial shows impressively that no-code tools can be used to build serious and scalable tech platforms. Experial's developers now work independently with WeWeb and are constantly developing the platform further.
Experial is currently still in a closed beta phase and is working with selected pilot customers to further optimize the platform. A public version is already being planned and should soon give everyone access to AI-supported market research.
