HEMENDHIRA MURALIDHARAN
Vice President- Marketing Blackstraw
Evolving Marketing Strategy for the AI Era
Marketing today is all about trust and relevance. Buyers are 60-70% of the way to a decision before they ever decide to partner with a vendor, courtesy LLMs. As AI reshapes buyer expectations, our strategy has moved from sending broad campaigns to sending personalized, insight-driven engagement across every touchpoint.
We use expert human inputs in deciding which challenges need to be tackled first, guided by where clients are actually feeling the pain. We use AI to accelerate content creation, uncover customer insights, and support account-based marketing. So, the content you see is anchored in highlighting measurable outcomes. At the same time, authentic human storytelling and founder-led thought leadership remain our biggest focus.
Technology-driven Trust, Partner Ecosystems, and Customer Experience
In enterprise AI, nobody trusts a claim anymore. They trust evidence. So, we lean on data analytics first to see where clients are genuinely seeing impact, and let that tell us what to say, instead of deciding the message and hunting for proof later. AI helps us personalize at scale, but we're careful not to let that scale wash out the human voice in what we develop.
On the digital side, we've stopped chasing volume. We'd rather put one sharp, relevant proof point in front of the right decision-maker than blast a hundred people with something generic. Customer experience starts with being understood. If someone can't quickly grasp the problem we solve, no amount of digital marketing can fix that.
Brand Positioning in Competitive Market
Enterprises look for five things: trust, credibility, accountability, capability, and delivery strength. Capability alone doesn't differentiate anyone anymore. Every AI company claims GenAI, Agentic AI and automation expertise now, so these words have stopped meaning much. What we're really betting on is accountability. At Blackstraw, internally we run on a principle we call "Say: Do," and we want people outside the company to see that same discipline: in our case studies, in our slide decks, and in how our clients' outcomes actually play out, including being upfront about where AI still falls short.
We're also going deeper rather than wider in every industry vertical: retail, CPG, manufacturing, market research, financial services, supply chain, logistics, healthcare, and aerospace. Being specific and targeted earns credibility faster than trying to be the generalist AI vendor for everyone.
