AI GTM Execution Hampered by Bad Data, Siloed Teams
MarTech Series12h ago·1 min readStrategy & Trends
AI Summary
A LeanData survey reveals that despite widespread AI adoption in go-to-market (GTM) teams, 70% of practitioners report poor data quality is undermining AI execution. The primary obstacles to successful AI initiatives are not the AI models themselves, but rather inadequate GTM infrastructure, including bad data, undocumented processes, and siloed teams.
⚡ Marketer Insight
The AI revolution in GTM is being stalled not by a lack of AI capability, but by fundamental data and infrastructure issues. Marketers must prioritize data hygiene and cross-functional alignment before expecting AI to deliver on its promise.
#gtm#ai adoption#data quality#go-to-market
Original article
MarTech Series