The marketing tech landscape has never been more complex—or more full of promise. In 2024 alone, over 77% of new martech tools launched were built with AI at the core. Cloud data warehouses like Snowflake, BigQuery, and Redshift are quickly replacing legacy CDPs. AI agents and automation platforms are now embedded across the stack, from media buying to lead routing.
But amidst this innovation, a familiar problem is holding teams back: bad data.
Enterprise marketing teams are drowning in disconnected tools, siloed systems, and inconsistent records. And while AI has the power to drive personalisation, decision-making, and speed, it can’t function without reliable inputs. As a result, many teams are discovering the hard way that automation doesn’t just scale performance—it scales inefficiency when data isn’t trustworthy.
According to recent research, 41% of marketers say bad or inaccessible data is the primary blocker to adopting AI. The problem isn’t whether the tools work—it’s whether the data is clean, compliant, and ready to be activated.
That’s where Convertr comes in.
Convertr sits upstream of your marketing and data stack, ensuring that every record—whether sourced from a form, a partner, or an API—is validated, enriched, and formatted before it ever reaches your CRM, MAP, CDW, or AI tool.
Whether you’re experimenting with OfferFit, layering AI into your sales motion, or simply tired of tracking lead QA across spreadsheets, Convertr helps you build trust at the foundation—so you can scale what works.
If you’re building for the next generation of GTM, consider this required reading.
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