Which data analytics approach revolutionized astronomy product recommendations by analyzing star-gazing patterns to predict consumer telescope preferences?

The astronomy product market has undergone significant transformation through data analytics. Modern telescope manufacturers and astronomy retailers now leverage sophisticated algorithms to understand consumer behavior and optimize their product offerings. This poll tests your knowledge about how data analytics has specifically impacted the astronomy retail sector in recent years.

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Celestial Behavior Mapping (CBM) - tracking seasonal observation interests to recommend appropriate equipment
Lunar Purchase Cycle (LPC) - correlating moon phases with buying patterns
Astronomical Frequency Analysis (AFA) - using radio telescope data to predict consumer interests
Stellar Demographic Targeting (SDT) - segmenting customers by their preferred celestial objects