Introduction

In the era of data-driven decision-making, understanding customer behavior is crucial for successful marketing strategies. Blikbuy leverages the power of spreadsheets to analyze consumer expenditure patterns, enabling businesses to tailor their outreach efficiently. By systematically tracking customer interactions, purchasing habits, and preferences, Blikbuy empowers brands to foster deeper engagement and loyalty.

Data Collection and Structuring in Spreadsheets

At the core of Blikbuy's methodology lies the meticulous organization of customer data in structured spreadsheets. Key metrics captured include:

• Time and date of purchases (Purchase Time)
• Frequency of transactions (Purchase Frequency)
• Common product combinations (Basket Analysis)
• Average spend per transaction (Transaction Value)

For example, a spreadsheet might reveal that customer segments A and B predominantly shop for office supplies on weekday afternoons with an average basket size of \$50.

Identifying Patterns via Analysis

Sophisticated algorithms parse spreadsheet data to uncover actionable trends:

Benefits Realized

1. Higher Engagement: Click-through rates increase when messages align with established shopping rhythms
2. Increased LTV: グレード4の3.3V CPUの場合、以下が適用されます：
* T =（（255 - ADC _{Value）.667 Minimum Derating.}