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The Best AI Doesn’t Show Off - It Just Works


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Dilpreeta Vasudeva

CMO at FirstLiving Spaces



The best AI, you ask?

The one no one notices-because it just works.


Having spent the better part of my career in tech-led businesses, I’ve learnt something simple: You don’t need to be technical to understand the potential solutions tech unlocks.


And that’s exactly my area of curiosity-

What does AI actually unleash for marketers?


Because no matter how passionate we get about the tech,

customers don’t care what tech you use and honestly so don’t I-only that it works.


Here are 4 areas where I believe AI changes the game:

1. Performance ≠ Just Predictive Models


💡 AI’s edge isn’t in automation and scale. It lies in amplifying relevance, unlocking precision, and accelerating curiosity.


❌ “How do we automate media buying & scale impressions?”

✅“Who do we talk to, when, with what—and what’s about to stop working?”


🎯 Use AI for:

  • Dynamic audience reshuffling & smarter channel mix

  • Funnel-stage personalization & ghosting prediction

  • Spotting micro-triggers in conversion drop-offs

  • Real-time budget reallocation + bid optimization

  • Hypothesis-driven micro-tests• Multivariate testing across creatives & journeys


🧠 Are we using AI to get answers—or to ask smarter questions?

2. Brand & Creative ≠ Voice + Volume


💡 AI doesn’t invent your brand voice or replace human creativity. It unlocks creative velocity and enables intelligent personalization.


❌ “Can AI write our brand story & generate content?”

✅ “Can it uphold our tone, values, and adapt creative intelligently?”


🎯 Use AI for:

  • Voice-safe templates that scale

  • Dynamic resizing, tagging, & language variations

  • Testing thumbnails, CTAs, & message variants

  • Scaling one idea into multiple personalized formats

  • Flagging tone inconsistencies before publishing


🧠 Is AI helping us tell more relevant stories—or just more stories?

3. CX ≠ Just Chatbots


💡 AI isn’t here to make life easier for the brand—it’s here to do so for the customer. Experience equity > resolution speed.


❌ “How do we automate support?”

✅ “How can we proactively create moments of ease, trust, and delight?”


🎯 Use AI for:

  • Solving predictable issues before they escalate

  • Friction-point prediction based on journey & sentiment data

  • Personalized recovery nudges (credits, callbacks)

  • Invisible anticipatory design (autofill, skip steps, save states)


🧠 Customers don’t want a ‘smart assistant.’ They want zero reasons to reach out.

4. Leadership ≠ AI Cheerleading


💡 You don’t need to be the most AI-forward. But you do need to own its impact.


❌ “What’s our AI strategy?”

✅ “What business problem is AI solving—and can we measure it?”


🎯 Use AI for:

  • Streamlining ops & cross-functional chaos

  • Reviewing what AI actually got right (or didn’t)

  • Modeling pricing, churn, and growth scenarios


🧠 Are you treating AI as a tool to manage—or a capability to lead?

AI isn’t for better metrics alone.

It’s for better decisions.

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