Okay, so you’re in charge of marketing? Data is everywhere. Web clicks, ad views, social media buzz – it’s a lot. You’re collecting tons of info, but are you really seeing what it means? Are you spending hours in meetings looking at numbers that don’t quite add up? Waiting days for reports that should be quick? Maybe you’re even thinking about hiring another analyst, but those costs add up fast.
What if understanding your marketing data was as simple as moving pieces on a screen? Clear insights suddenly appear if you could just drag metrics and drop them where you need them. That’s the idea behind AI in marketing analytics, making things visual and fast.
We sat down with Suryansh Jaiswal, co-founder of Zyler AI, a startup tackling this exact problem. They’re building a tool that lets you drag, drop, and sort your way to smarter marketing decisions with AI. How are they doing it? We did an interview to find out.
What is Zyler AI?
Zyler AI is an AI-driven marketing analytics tool designed to simplify data analysis for businesses. Whether you’re part of a small e-commerce business or a marketing team at a tech company, the tool serves as your co-pilot. It offers a simple widget-style interface that eliminates the complexities of traditional analytical tools. You connect your analytics platforms, and then you can drag and drop dimensions and metrics. This hands-on approach lets you perform deep-dive analyses without needing specialised analysts.
Zyler AI offers insights and recommendations while you analyse your data. It’s like having a virtual analyst that provides actionable insights in real-time, reducing the dependency on costly analysts and speeding up decision-making.
What’s more, Zyler AI stands apart through its focus on providing quality insights and competitive intelligence. It allows you to easily compare your data with competitors, which is often a cumbersome process for many businesses. With extensive experience in analytics, marketing, and AI within its team, Zyler AI provides a robust solution that streamlines decision-making processes for its users.
Zyler AI Founders
Meet Suryansh Jaiswal, a product management leader whose experience spans various industries like e-commerce, mobility, and SaaS. With a knack for scaling products from their inception to market prominence, Suryansh has honed his expertise in crafting solutions that fill glaring market gaps. When he realised a persistent issue— the lack of quality insights—across different companies he worked with, it became clear something had to change.
Dipankar Sarkar, the other half of Zyler AI’s founding duo, brings a wealth of technical prowess. Specialising in blockchain and machine learning, Dipankar is no stranger to advising tech startups. His technical acumen complements Suryansh’s product vision perfectly, making them a formidable team that addresses the shortcomings of traditional data analytics.
Before Zyler AI took its current form, the founders started with a chat interface solution. It was through early prototypes and user feedback that they pivoted into creating the AI-driven marketing analytics tool. This hands-on journey through initial trials and errors helped mould the product into a tool that’s now ready for initial launch.
The idea of Zyler AI was born out of a genuine need identified through extensive corporate experience. Most companies are good at collecting data but not converting it into actionable insights. The overwhelming need for specialised analysts for different business functions highlighted a fragmented approach that Suryansh and Dipankar were determined to solve. Thus, Zyler AI was conceived, aiming to offer businesses the actionable insights they often miss.
Interview with Suryansh Jaiswal, Co-founder of Zyler AI
We had the chance to sit down with Suryansh Jaiswal, the co-founder of Zyler AI, to delve deeper into their approach and what makes their tool stand out. Here’s how our conversation went:
Q: Suryansh, could you begin by telling us a bit about Zyler AI in your own words? What exactly does your startup do?
A: Zyler AI is essentially an AI co-pilot for marketing analytics. Think of it as a tool that simplifies the whole process of understanding your marketing data. We let you drag and drop your way to insights. We’re targeting businesses that range from early-stage startups and marketing agencies to small e-commerce businesses and even marketing teams within larger tech companies.
Q: What’s the main problem you’re trying to fix for these businesses? What are you seeing as the biggest pain points in the current marketing analytics landscape?
A: The core issue we see is that companies are drowning in data but starving for real insights. Everyone’s collecting data from everywhere – web analytics, CRM, marketing platforms – but often, they’re not getting quality insights out of it. This leads to a few key problems. Firstly, high costs and data silos. Companies often need to hire different analysts for different data sets – product analysts, sales analysts, marketing analysts, and so on. This becomes expensive and creates silos, making it hard to get a unified view and make accurate decisions. Secondly, slow decision-making. Because you’re reliant on analysts for every ad-hoc request, getting insights takes time, which slows everything down. Finally, competitive intelligence is often lacking. It’s generally a cumbersome process for businesses to benchmark their performance against competitors.
Q: And how does Zyler AI solve these problems?
A: Our solution is built around simplicity and speed. We offer a widget-style interface that’s easy to use. You connect your existing analytics platforms to Zyler AI, and then you can literally drag and drop dimensions and metrics to analyse your data. This hands-on approach lets you do deep dives yourself, without needing to rely on specialised analysts for every question. More than that, Zyler AI provides AI-supported insights and recommendations as you analyse. It’s like having a virtual analyst working alongside you, providing actionable insights in real-time. This reduces the need for so many costly analysts and speeds up the entire decision-making process.
Q: Tell us about the team behind Zyler AI. Who are the founders and what’s their background?
A: The founding team is myself and Dipankar Sarkar. I’m Suryansh Jaiswal, the CEO and co-founder. My background is in product management. I’ve spent my career scaling products from the very beginning to market leadership positions. Dipankar Sarkar is our CTO and co-founder. He’s an expert in blockchain, machine learning, and has experience advising tech startups.
Q: What was the inspiration behind starting Zyler AI? What made you decide to focus on this particular area?
A: Across our corporate experiences, working in various industries like e-commerce, mobility, and SaaS, one problem kept popping up, no matter the company’s size or stage: a lack of quality insights. Companies were great at collecting data, and most tools focused on data collection too. But even today, many of these tools are complex and need specialists to use them effectively. You need domain expertise and tool expertise. This means companies end up needing a whole army of analysts with different specialisations. We saw a real need to make analytics more accessible and insightful for everyone, not just data experts.
Q: How did Zyler AI evolve in its early days? Did you start with the current product or did it take a different shape initially?
A: It was a journey of finding the right product fit. We actually started with a chat interface solution. But through early prototypes and feedback from our first users, we realised that the drag-and-drop widget interface we have now was the direction to go. It resonated much better and allowed for more intuitive exploration of data. That’s how we arrived at the product we are now ready to launch.
Q: In a market with many analytics tools, what differentiates Zyler AI from its competitors? What’s your unique advantage?
A: Our team’s extensive experience in analytics, marketing analytics, and AI is a significant advantage. We’ve been in the trenches, we understand the problems firsthand, and we’re building a solution based on that deep understanding. This experience is our moat. We’re not just building a tool; we’re building a solution grounded in real-world marketing and analytics challenges.
Q: Can you share any details about funding or your current stage of development?
A: We haven’t received external funding yet. We are currently in the beta phase, focused on our launch. We’ve onboarded around 100 early access users, and we’re learning a lot from their feedback as we move towards our public launch.
Q: What are Zyler AI’s plans for the future? What’s next on the horizon?
A: Right now, our main focus is the launch. We are working hard to ensure it’s successful. Beyond that, we’re committed to continuously developing Zyler AI and expanding its capabilities to provide even more value to our users. We believe AI in analytics is going to become increasingly vital. Companies that don’t embrace AI analytics will be at a disadvantage.
Q: For aspiring entrepreneurs out there, what advice would you give based on your journey so far?
A: Just start. Don’t overthink it. You will figure things out as you go. The most important thing is to take that first step and learn from the process.
Q: Finally, are there any statistics or key data points about the industry or your solution that you think are important for our readers to know?
A: Yes, absolutely. Industry data shows some pretty stark realities that highlight the problems we’re addressing. Leaders are spending over five hours every week just in data review meetings. Teams are waiting more than 48 hours to get critical insights. And companies are losing an estimated $2.5 million or more each year because of delayed decisions. But the real cost is bigger than just these numbers. It’s about missed opportunities and slower growth.
Feedough’s Take on Zyler AI
Marketing teams are swamped with data, and current tools often need specialists to make sense of it all. Zyler AI’s drag-and-drop approach could really shake things up. Imagine quicker decisions and insights for teams without needing to hire loads of analysts. That’s a real plus in today’s fast-paced world.
The challenge, like with any new tech, will be getting people to switch from how they currently do things. Established analytics platforms are everywhere. But Zyler AI’s focus on simplicity and speed could be a strong pull, especially for smaller businesses and startups that need to move fast and smart. If they can keep delivering on that promise of easy, actionable insights, they’re definitely one to watch. Expect them to push for wider adoption and more features as they grow.
A startup consultant, digital marketer, traveller, and philomath. Aashish has worked with over 20 startups and successfully helped them ideate, raise money, and succeed. When not working, he can be found hiking, camping, and stargazing.
