Real-life example : An SME in the beverage industry discovered through Google Trends that searches for keywords like “kombucha” and “slimming tea” were skyrocketing in 2023. Based on that, they developed a new tea product line and ramped up promotion, resulting in a 35% increase in revenue in just 6 months .
b. Understanding Customer Profile and Behavior Analyzing data from websites and CRM helps SMEs answer questions: Who are the potential customers? Why do customers leave or come back? Statistics : According to Salesforce , 66% of customers expect businesses to understand their needs and wants up front.
c. Demand Forecasting and Inventory india telegram data Optimization By analyzing sales history and seasonality, SMEs can optimize inventory, avoiding shortages or overstocking . For example : SMEs selling moon cakes often rely on Big Data to predict peak purchasing periods in the 7th and 8th lunar months.
4. How Does Big Data Help Optimize Marketing Campaigns? a. Accurate Advertising Deployment Data helps SMEs target the right customers, avoiding wasting budget. Statistics : Big Data-based advertising campaigns can increase ROI by up to 300% compared to traditional campaigns.
b. Personalize Marketing Content Send emails, messages, or product recommendations based on purchase history. Create a “tailored” experience for each customer, increasing conversion rates. c. helps SMEs identify which channels bring in the most customers and focus their investments there.