Zurich-based startup Meloncast offering an AI-based Content Marketing Optimization tool is off to a good start after launching its minimal viable product. Swiss banks including St. Galler Kantonalbank and the insurance companies Baloise and SIX are already customers.
Annually over two hundred billion USD is spent globally on content marketing, however, due to the decreasing attention span of audiences, only 40% of all produced digital content creates impact because it is challenging for companies to determine their target audience’s interests and how to reach them. Articles, videos, podcasts, or case studies are produced regularly with an average spend of CHF 10’000 and 30 hours of work on one piece of content, yet the return on investment has remained insignificant.
Meloncast has the ambition to help companies create sustainable impact by providing them with a content marketing optimisation tool. Using Artificial intelligence the tool provides data-driven insights to content creators to allow them to produce tailor-made content for their target audience across various channels. This should lead to 50 percent more leads.
In December 2020, Meloncast launched a minimal viable product with customers from the financial industry such as SIX, the St. Galler Kantonalbank, and the insurance companies Baloise, Helvetica and ÖKK. A fully scalable and integrated platform will be available in summer 2021.
With only twelve months in the startup scene, Meloncast had an exciting start. The company is gaining traction and received support from Venture Kick, the Basel Chamber of Commerce (Handelskammer beider Basel) and the F10 accelearator.
Meloncast is a spin-off of the University of St.Gallen and has a team of six experts with backgrounds in data-science, marketing and business. The overall vision of the startup is to empower marketers to deliver content that audiences appreciate.
“I had a frustrating experience with content marketing; no matter how much time and money my team spent on content creation, the success of a piece of content was not predictable. While most parts of marketing are now data-driven, content plans and content production are still done through brainstorming and internet research. To conduct sufficient research to fully understand the interests of different target groups would require going through thousands of articles, social media posts, and forums. We are thrilled that our tool is bringing value to thousands of marketers; two of our latest customers came through word-of-mouth from existing customers”, said Raphaela Kuerer, Co-founder and Chief product Officer.
Photo: DiggityMarketing
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