Day of the week performance analysis
Analyze buying trends and patterns by comparing key performance metrics across different days of the week. Identify which days drive the highest sales, clicks, and conversion rates to optimize ad scheduling and budgets.
Objective
Conduct a comprehensive analysis of buying trends and patterns by comparing key performance metrics across different days of the week. This analysis aims to identify which days drive the highest sales, clicks, and conversion rates, enabling advertisers to optimize ad scheduling and budget allocation. By understanding day-specific performance trends, advertisers can tailor their strategies to maximize ROI and capture peak consumer engagement periods.
Key benefits
Optimized ad scheduling
Improved Budget allocation
Enhanced ROAS
Customer behavior insights
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How it works
Analyze performance metrics across different days of the week on retail media networks. Identify peak engagement periods to optimize ad scheduling, adjust bids, and allocate budgets for maximum ROI on Amazon, online retailers and other marketplaces.
Data aggregation
Use mimbi COLLECT to import detailed performance data from various retail media platforms and e-commerce channels. Ensure the data includes key metrics such as impressions, clicks, conversions, sales, and ad spend, all tagged with precise timestamps.
Day-of-week segmentation
Leverage mimbi TRANSFORM to segment the collected data by day of the week. Calculate daily averages for each key metric. Create normalized metrics (e.g., conversion rates, ROAS) to enable fair comparisons across days with different traffic volumes.
Trend analysis and visualization
Perform statistical analyses on the day-segmented data. Identify patterns, trends, and anomalies in performance across different days. Create visualizations such as heat maps, bar charts, and line graphs to illustrate daily performance variations clearly.
Strategy optimization and implementation
Based on the insights gained, develop and implement optimized ad scheduling and budget allocation strategies. Automatically adjust bid modifiers, dayparting settings, and daily budgets to align with identified high-performance periods.
Campaign naming convention compliance
Consolidated multi-country Amazon account stats
Budget pacing and forecasting
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