Artificial intelligence

From Data Chaos to Smart Growth: How Jonas Ehrenstein Is Redefining Go-To-Market with AI

Context beats noise: solve real problems before scaling with AI

In this episode of Bright Founders Talk, we had the pleasure of speaking with Jonas Ehrenstein, Co-Founder and Managing Director of Compelling. Jonas brings a unique perspective shaped by years of experience in the advertising industry, where he worked at the intersection of creativity and technology.

Driven by a passion for solving new challenges, he made the leap into entrepreneurship to build something of his own. That journey led to the creation of Compelling, a platform designed to transform how go-to-market teams operate. Compelling helps businesses streamline data research and orchestration, enabling more efficient and informed decision-making. By focusing on publicly available data and prioritizing accessibility, the platform empowers non-technical users to leverage advanced insights without complexity.

Jonas shares how modern sales and marketing teams can move beyond surface-level metrics and adopt deeper, more meaningful data analysis. He also explains how identifying “compelling events” can significantly improve targeting, timing, and conversion rates. This conversation offers valuable insights into building data-driven products, taking entrepreneurial risks, and redefining efficiency in today’s competitive landscape.

Embed thumbnail

From Agency Chaos to Startup Clarity: Why Jonas Chose the Founder’s Path

Jonas didn’t just wake up one day and decide to build a company—it was more of a natural progression. After years in advertising, working on the technical side of ever-changing client projects, he realized something: the unpredictability was the best part. New challenges, new problems, new ways to think every single day. So instead of solving them for clients, he decided to create his own playground—one where the problems never stop, and neither does the learning.

I always liked tackling new problems every day

That mindset became the foundation for Compelling. Jonas and his team set out to build something practical for people who deal with data daily—sales and marketing teams drowning in spreadsheets, manual research, and endless decision-making. The idea was simple: take all that messy, time-consuming work and streamline it into something smarter, faster, and actually usable—even if you’re not technical.

But what makes it interesting is how they approached it. Instead of relying on shady third-party data sources, Compelling sticks to publicly available data and focuses heavily on data security—a very German move, as Jonas puts it. At the same time, the platform is designed to feel approachable, not overwhelming. Because at the end of the day, it’s not just about having more data—it’s about helping people actually use it to make better calls, reach the right leads, and close more deals without the usual chaos.

Automation Isn’t Magic—It’s About Asking the Right Questions

Getting started with automation isn’t just about plugging in a new tool and hoping for the best. Jonas makes it clear: the real value comes when everything is connected—your CRM, outreach tools, and the rest of your go-to-market stack. Compelling thrives on integration, acting like the glue that brings all these systems together. But tools alone aren’t enough. Companies also need to understand themselves—their value proposition, their ideal customers, and what actually makes a lead worth pursuing.

You need to have some idea of what you want to do

That’s where things get interesting. Compelling isn’t a one-size-fits-all solution—it adapts to whatever questions matter most to a business. One company might care about energy usage, another about employee benefits, and someone else about what prospects are posting on LinkedIn. The point is, the deeper and more specific the questions, the more powerful the insights. It’s less about collecting data and more about finding the signals that actually move the needle.

Of course, not every company is immediately sold on automation and AI—and that’s okay. Some are already deep in the game, experimenting with every tool out there. Others are still figuring out what problem they even need to solve. Jonas points out that the hesitation isn’t really about AI itself—it’s more about trust. Businesses want to know their data is safe and that automation won’t replace the human side of sales. And that’s exactly where Compelling draws the line: let machines handle the tedious work, so people can focus on what they do best—building real connections.

Stop Sending a Million Emails: Why Context Beats Personalization

There’s a fine line between smart automation and just making more noise—and Jonas has seen both sides. One of the biggest mistakes companies make today is jumping straight into automation without laying the groundwork. It’s tempting to generate thousands of AI-written emails and call it a strategy, but without the right data and context, it’s just spam at scale. The real challenge isn’t writing messages—it’s understanding who you’re talking to and why it matters.

It’s about context, not personalization

That distinction changes everything. Many teams still confuse personalization with relevance—adding a name, a company, maybe a random detail scraped from LinkedIn. But Jonas argues that this approach misses the point entirely. True relevance comes from context: knowing what’s happening in a company, why they might need your solution right now, and what signals actually matter. Without that, even the most “personalized” outreach feels generic.

Looking ahead, things are only going to get more complex. Signals are everywhere—job postings, hiring trends, online activity—and everyone has access to them. The problem? When everyone uses the same signals, they lose their edge. That’s where Jonas sees the future shifting: not just automating outreach, but going deeper into understanding patterns, uncovering hidden insights, and even predicting what’s coming next. Less guesswork, more clarity—and maybe, finally, fewer useless emails in everyone’s inbox.

Curiosity, Caution, and the Reality Check Every Founder Needs

Jonas doesn’t see himself as purely a dreamer or a pragmatist—he’s somewhere in between. On one hand, he’s deeply curious, always eager to test new technologies and explore what’s possible. On the other, he’s realistic enough to know that not every shiny new tool is worth chasing. In a world where AI evolves almost weekly, staying grounded becomes just as important as staying curious.

I’m really a big fan of trying new things

That balance shows up clearly in how he thinks about marketing and sales teams of the future. AI, in his view, should handle what it’s already great at—like qualifying leads, analyzing patterns, and making sense of huge amounts of data. Marketing, especially, can benefit from this shift, turning vague “leads” into well-understood opportunities. But when it comes to actual human interaction—calls, conversations, relationships—Jonas draws a line. Automation can support the process, but it shouldn’t replace the people behind it.

And for anyone thinking about starting their own company, Jonas offers advice that’s refreshingly honest. Don’t rush into it. In fact, he admits they started too early and spent time building something nobody really needed. The real lesson? Start with a problem, not a product. Test the idea, try to sell it, and only then commit to building. It’s a simple idea, but one that could save founders years of trial and error—and a lot of unnecessary headaches along the way.

Discover More Captivating Success Stories:

Unlocking the Secrets of Human Nature: Jamie Calon's Unconventional Guide to Finding Inspiration in Everyone
E-commerce

Unlocking the Secrets of Human Nature: Jamie Calon’s Unconventional Guide to Finding Inspiration in Everyone

Jamie's Take: Navigating Life's Highs & Lows, and Finding Role Models in the Unlikeliest of Places

A spider sense for successful hires
Fintech

A spider sense for successful hires

David, Founder of PredictAP, learned firsthand the value of timing his startup's launch by riding the wave of the.com boom with a product that was well ahead of its time. He was ready to retire to Hawaii, and then, the crash came coliding down. Now, David and his colleagues at PredictAP have found a method to utilize ML, to alleviate staff of dull, unexciting duties and optimize the invoicing process.

Global Vision, Local Impact: How Brandon Welch’s Leadership at Doxy.me is Redefining Telemedicine Worldwide
Healthcare

Global Vision, Local Impact: How Brandon Welch’s Leadership at Doxy.me is Redefining Telemedicine Worldwide

Leading with Vision: Brandon Welch on Global Teamwork and Telemedicine Innovation