'No-Code AI In Marketing: A Shift In Mindset?' by easytiger1981 growthmarketing artificialintelligence
I started my marketing career at the end of the 2000s. At that time, the digital marketing landscape was scarce and full of uncharted waters. A lot of decisions were based on gut feeling, and the cost of human error was high. There were no solutions in place for many marketing needs due to the lack of technology, so we had to swelter a lot to create kludges and workarounds .
What're the most critical challenges facing modern marketers, and how can no-code platforms like Pixis help solve them? First, it's the proper data sync. Our AI infrastructure enables a host of integrations with 3rd party platforms. It fetches data from these platforms at the required scale for our AI systems to analyze.
For deployment standardization, we use EKS, Kubernetes, and other tools. We've recently started exploring QFlow for our deployment pipeline automation.From a user perspective, how do you make a difference compared to similar codeless AI solution providers? What Pixis does differently is as follows. Our AI infrastructure has a self-evolving or contextual nature with a robust feedback mechanism. So, basically, what happens is that our AI systems constantly communicate with each other. This leads to the infrastructure growing and evolving along with a brand's audience.
Typically, multiple stakeholders are involved in running a marketing campaign. Brand managers make decisions about the communication and creative part of the campaigns. Digital marketers work day to day on campaign optimization. Others make decisions about media buying budgets and planning, etc. The more people are involved in a process, the more difficult it is to promote a new way of doing things and get their buy-in.
As such, it's both a challenge and an opportunity for us, innovative platform providers, to educate people in data-driven marketing and show them the clear benefits of shifting their marketing mindset to be more automation-focused.At present, Pixis is targeting large, enterprise-level customers. Later, we may start building and opening our solutions for SMBs. Our user base is currently split between agencies using Pixis to support their customers, and in-house marketing teams.
The key driver of attracting the funding was our steady growth in revenue, customer expansion, pipeline of AI products in R&D and the clarity of vision we hold for Pixis. The scale and rate at which we were growing and developing our codeless AI infrastructure seems very exciting for investors.
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