AI pushes marketers to measure value, not just visibility
At TechSparks 2025, executives from Snowflake, Google, and NxtGen Cloud Technologies said artificial intelligence is forcing a fundamental reckoning in how marketing defines success.
Marketers are no longer highlighting clicks and impressions in their quarterly reports. It's now all about revenue.
At TechSparks 2025, executives from Snowflake, Google, and NxtGen Cloud Technologies said artificial intelligence is forcing a fundamental reckoning in how marketing defines success. The old metrics—impressions, reach, and engagement—are giving way to harder measures: lead conversion, revenue attribution, and long-term customer value.
"We've always talked about awareness and reach, but now we can quantify how marketing contributes to sales and retention," said Anish Thambi, Head of Marketing, India at Snowflake, at the panel discussion. "AI takes away the repetitive work and helps marketers focus on strategy, storytelling, and impact."
The shift marks a turning point for an industry long criticised for fuzzy metrics and difficult-to-prove ROI. AI-driven analytics now allow marketers to draw direct lines between campaigns and business outcomes, transforming marketing from a cost centre into a measurable growth engine.
Thambi noted that Snowflake's enterprise clients are using AI not just for segmentation or automation, but to design entire go-to-market models around real-time customer data. By analysing purchase patterns, customer intent, and engagement across platforms, marketers can forecast conversion potential with far greater precision than traditional methods allowed.
Jaydeep Deshpande, Group Field Marketing Manager at Google, framed the change as a new level of accountability. "The conversation has moved from impressions to insights, from visibility to value," he said. "We are entering a phase where marketing has to justify its business contribution."
That justification will depend on how responsibly companies wield their new predictive power. Deshpande pointed to AI-driven personalisation and privacy-first frameworks as defining forces in marketing's next chapter. "Predictive intelligence allows marketers to anticipate what customers want before they search for it," he explained. "But how responsibly we use that power will decide how far brands can go."
The role of marketers themselves is changing. Jollydeep Kaur, Head of Marketing at NxtGen Cloud Technologies, said marketers are evolving from campaign operators to system architects. "We're no longer just creating ads; we're designing intelligent systems that can learn, adapt, and respond in real time," she said. "The marketer of the future needs to understand both creativity and data science."
The panel explored the emerging concept of agentic AI—intelligent agents that can autonomously design and execute marketing strategies, handling everything from campaign planning to content generation and performance optimisation. But the speakers cautioned against letting automation override ethics or creativity.
"AI can tell you what to do," Thambi said, "but only humans can tell it why."
As AI embeds itself across every layer of marketing, from customer acquisition to retention, the emphasis is shifting from mechanical efficiency to strategic intent. Panellists agreed that the next competitive advantage will belong to marketers who successfully integrate human insight with machine precision.
"The future of marketing is not about replacing people," Kaur said. "It's about giving them smarter partners. AI will do the heavy lifting, but meaning will always come from the human side."
Deshpande captured the moment simply: "We are evolving from measuring visibility to measuring value. That's what true AI-powered marketing will look like."

Edited by Kanishk Singh
