Daniel
Kravtsov

The average enterprise marketer juggles 92 separate vendors. Ninety-two platforms, ninety-two logins, ninety-two proprietary data formats that speak to each other the way strangers speak at a funeral. Daniel Kravtsov knows this number precisely - because he built a company to be the one thing all 92 report to.

Today, Improvado is the AI-powered marketing intelligence platform that enterprises actually trust with their revenue data. It pulls from 500+ sources - Google, Facebook, LinkedIn, TikTok, TradeDesk, Salesforce, and hundreds more - normalizes everything, and surfaces the kind of insight that used to require a data engineering team, three weeks, and a prayer. Kravtsov runs the show as Co-Founder and CEO, operating from San Francisco with a team spread across 14 time zones and a platform that has processed millions in ad spend.

The recent $22M Series A from Updata Partners wasn't a pivot or a rescue. It was confirmation. Activision's senior media analyst said initial platform setup - connecting every media channel they ran - took under an hour. That's the kind of review that closes rounds.

Kravtsov came up through the technical tracks. Tomsk State University of Control Systems and Radioelectronics for his Master of Computer Science. Then ITMO University in St. Petersburg - one of Russia's foremost technical institutions - for a second master's in Technology Entrepreneurship between 2010 and 2012. Two degrees, both rigorous. One pointed at machines, one pointed at markets.

The early career unfolded in Russia's ad tech and internet ecosystem. A coupon and deals platform (33kupona.ru). A knowledge management product (Rizzoma.com). Then RTB-Media, a real-time bidding desk for programmatic advertising. Four startups in, two of them had already reached exit. RTB-Media was acquired by Between Exchange in 2016 - a clean exit, the kind that buys credibility with the next round of investors and the next set of co-founders.

But before the pivot that became Improvado, Kravtsov did something unusual for an engineer-turned-CEO. He stopped building and started listening. He talked to more than 100 digital media agencies and businesses, asking what was breaking in their day-to-day. The answer wasn't targeting. It wasn't reach. It was spreadsheets - rows and rows of manually exported campaign data that nobody had time to clean, reconcile, or act on. The pain was so consistent it felt like market research. It was.

Kravtsov's vision for the platform reflects his background. He doesn't talk about dashboards. He talks about revenue. The product is built around what he calls "a single modern revenue data platform" - language that deliberately bridges the gap between marketing ops and the CFO's office. When marketing spend can't be directly tied to outcomes, it becomes a cost center. Improvado's thesis is that it can be a profit center, once you can actually see what's happening.

The AI layer - now at the core of the product - transforms the platform from aggregator to advisor. AI agents handle data extraction, normalization, anomaly detection, and insight generation without requiring marketers to write queries or file tickets with engineering. Kravtsov has publicly framed this as the end of the legacy analytics workflow: "from queries to conversations."

Two master's degrees from Russian universities. A LinkedIn profile with a Ukrainian flag. A company built in San Francisco. Kravtsov carries the layered identity of an entrepreneur who moved markets, literally and figuratively. The flag isn't decoration - it's a signal, quietly placed and clearly intentional.

What separates Kravtsov from other technical founders is the 100-interview discipline. Most engineers build from intuition. Kravtsov built from evidence. He talked to agencies until he heard the same complaint from enough mouths to treat it as market research. The resulting product wasn't speculative - it was a documented pain point with paying customers already lined up before the first line of production code.

He's described by observers as a global thought leader on data and marketing transformation - not for thought leadership's sake, but because the problem Improvado solves is genuinely systemic. Marketing analytics wasn't broken at one company. It was broken everywhere. And the solution wasn't incremental. It required building a data layer that sat above every platform, connecting them without asking permission from any of them.

His focus on making data accessible to marketers - not just data scientists - runs through every decision at Improvado. No-code pipelines. AI-driven insights without query languages. Business-user interfaces for tools that previously required engineers. It's an accessibility play dressed up as enterprise software.

Kravtsov publishes regularly on Improvado's blog and contributes to external platforms including AdRoll. His recent writing tracks the convergence of AI and marketing analytics - not as a future trend but as current infrastructure. His May 2026 roundup of AI marketing trends and his April analysis of MarTech innovations reflect a writer who uses publishing to make sense of the market he operates in.

On the Marketing AI SparkCast podcast, Kravtsov articulated the AI transformation in marketing analytics as a shift from querying data to having conversations with it. Legacy analytics workflows required a specific skill set - SQL fluency, engineering access, dashboarding expertise. AI agents collapse that into natural language. The analyst who used to wait two weeks for a report now asks a question and gets an answer. That's the Improvado bet.

His perspective on data fragmentation - the 90% waste figure for ad budgets, the 92-vendor average - is a recurring theme. He uses it not as a scare tactic but as a calibration exercise. Most marketers suspect budget is being wasted. Kravtsov's data gives the waste a number. Once you have a number, you can fix it.