At Vyana Services, we believe in finding a balance between data analytics and traditional marketing instincts. Data provides hard insights, helping us make informed decisions. However, traditional instincts, based on experience and understanding of the market, also play a key role. We trust data to guide decisions but use our instincts to interpret it creatively and adjust strategies based on evolving trends. Both together lead to the best outcomes.

It is such an interesting debate! Data analytics brings precision, but sometimes, traditional marketing instincts feel like they have a particular 'gut feeling' advantage. What's your approach—relying more on numbers or intuition?

Great question about the art and science of product marketing! What many fail to see is that there is a huge difference depending on who makes the instinctive decision. A veteran employee who has soaked up analytics, trend forecasts, consumer focus groups, knows human needs, macroeconomic developments... for years will have a very calibrated instinct whereas a more junior person will likely revert more to subjective decision making: "I like it / I don't like it" Analytics always look to the past so I would trust a veteran employees instincts, especially if they can explain the reasoning for their conclusion.

When data analytics clash with marketing instincts, I would: 1. Evaluate the data: Check if it’s accurate, complete, and from a reliable source. 2. Understand the context: See if the data fits the current market situation. 3. Blend insights: Use instincts to interpret the data creatively. 4. Test and learn: Run small experiments to see which approach works best. 5. Adapt as needed: Use results to balance data-driven decisions with experience. This approach helps find the right path while respecting both data and intuition.