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How Starbucks Finds the Best Locations | Vikram the Analyst" #tech#dataanalytics #facts #data
🗣️:
"Ever wondered why there’s always a Starbucks in the perfect spot? It’s not luck—it’s data science! Here’s how they do it."

🎥 [Section 1: Analyzing Customer Foot Traffic]
📺 Visual: A heatmap of busy urban areas with customer movements highlighted.

🗣️:
"Starbucks uses data science to analyze foot traffic in various locations. They look at how many people pass by and when, ensuring the area has a steady flow of potential customers."

🎥 [Section 2: Demographics and Preferences]
📺 Visual: Charts showing age groups, income levels, and coffee consumption habits.

🗣️:
"They also study local demographics—age groups, income levels, and coffee preferences—to understand if the area matches their target audience."

🎥 [Section 3: Competitor Analysis]
📺 Visual: A map with competitor café locations marked.

🗣️:
"Starbucks even evaluates nearby competitors to ensure their new store has the best chance of success while avoiding oversaturation."

🎥 [Closing Scene]
🎶 Outro music with visuals of a bustling Starbucks store.
📺 Text on Screen: "Vikram the Analyst | Analytics Simplified"

🗣️:
"From foot traffic to demographics, data science helps Starbucks find the perfect spot for every new store. Like, share, and follow Vikram the Analyst for more insights. See you in the next video!"

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