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Explanation: Trend analysis in marketing involves studying historical data to identify recurring patterns, such as seasonal demand variations. By forecasting these trends, businesses can plan targeted advertising campaigns and allocate resources efficiently. For instance, analyzing past sales data might reveal spikes during specific holidays, enabling marketers to launch timely promotions. This data-driven approach ensures that marketing efforts resonate with the audience, boosting conversion rates and ROI. Trend analysis also helps in adjusting strategies to meet changing consumer preferences. Option A: Sentiment analysis is valuable for understanding customer opinions but does not directly involve trend analysis or forecasting. Option C: Campaigns based on intuition lack data-backed insights, which can lead to suboptimal results. Option D: Automating marketing campaigns enhances efficiency but does not focus on analyzing historical trends. Option E: Measuring website traffic provides metrics but does not delve into identifying or forecasting trends.
(36/8)2× (912/38)÷ (122/1586) = ?
...3(2/5) + 6(1/3) + 3(2/5) + 11(2/3) =?
Determine the simplified value of the given mathematical expression.
125 + 64% of 250 = 150 + ?
44% of 1900 + 25% of ? = 9000
Simplify the given expression
[1.5 × 1.5 × 1.5 + 2.7 × 2.7 × 2.7 + 4.8 × 4.8 × 4.8 – 3 × 1.5 × 2.7 × 4.8] / [1.5 × 1.5 +2.7 × 2.7 ...
The value of (43-3× (4×6+12/6 ×6-4×5) +4)?
[4(2/3) + 5(1/6)] × 45% of 240 = ?
25% of {(5/18) × 2880 + 122 } = ?% of 590