Time views present advertising results from the Allegro Ads platform in three different temporal perspectives: daily, weekly, and monthly. The analysis covers all active advertising campaigns, ad groups, and offers, providing a complete picture of advertising performance across different time horizons.

The system aggregates data directly from the Allegro Ads API, enabling detailed trend analysis, seasonal pattern identification, and quick response to changes in advertising campaign performance.

Presents advertising results on a day-by-day basis, enabling daily campaign performance monitoring and quick identification of sudden changes in results.

Aggregates data in a weekly layout (Monday to Friday), allowing for analysis of weekly trends and identification of patterns related to days of the week.

Presents aggregated results in a monthly perspective, enabling analysis of long-term trends and advertising strategy planning.

Reports present data from a selected time range that can be customized using a datepicker (available options: Last 7 Days, Last 14 Days, Last 30 Days, Last 60 Days, Last 90 Days, This month, Last month, and the ability to select custom dates). The default setting is the last 30 days range.

Important limitation: Due to the specifics of the Allegro Ads API, historical data is available backwards in a limited range - currently up to 7 days back from the moment integration began.

Monitor daily changes in interest (Interest) to quickly identify increased demand for products and respond appropriately by increasing advertising budgets for products with growing interest.

Analyze weekly patterns in clicks (Clicks) and costs (Total Costs) to identify optimal days of the week for intensifying advertising activities and appropriate budget distribution.

Track monthly trends in revenue (Gross Revenue) and ROAS to assess long-term campaign effectiveness and plan strategic changes in advertising budget allocation.

Use period comparisons to identify products and periods with the largest percentage changes, allowing for quick detection of problems or business opportunities.

Monitor correlations between impressions (Views) and clicks across different time horizons to optimize CTR and identify periods with the highest creative effectiveness.

Analyze average cost per click (Average CPC) in a temporal context to detect periods of increased competition and appropriately adjust bidding strategies.

Identify periods of high costs without corresponding sales (Quantity) to quickly respond to ineffective spending and migrate budget to more profitable periods or products.

Use the view saving function to create dedicated reports for different scenarios, such as "Greatest interest growth" or "Click decline with costs".

Day - Specific day (visible in Daily Summary view) with the ability to analyze day by day.

Week - Week number (visible in Weekly Summary view) with information about the week's date range.

Month - Month number (visible in Monthly Summary view) with full month name.

Interest - Total number of product interest expressions in a given period.

Views - Total number of ad impressions in a given period.

Clicks - Total number of clicks on ads in a given period.

Click Through Rate - Click-through rate (CTR) calculated as Clicks/Views * 100%.

Total Costs - Total advertising costs incurred in a given period.

Average CPC - Average cost per click in a given period (Total Costs/Clicks).

Quantity - Total number of products/offers sold as a result of advertising activities in a given period.

Gross Revenue - Total gross revenue generated by ads in a given period.

ROAS (Return on Ad Spend) - Return on advertising investment calculated as Gross Revenue/Total Costs.

COS (Cost of Sale) - Cost of sale calculated as Total Costs/Gross Revenue * 100%.

Current Period - Metric value in the current analyzed period.

Previous Period - Metric value in the analogous previous period.

Change (%) - Percentage change between current and previous period.

Change (Value) - Value change between current and previous period.

Ability to set filters on each column with multiple conditions, ascending/descending sorting, and hiding unnecessary columns for better data readability.

Creating and saving personalized views with predefined filters and sorting, enabling quick access to most frequently analyzed data.

All time views offer advanced capabilities for comparing data between periods through "Show Previous Period" and "Show Change Values" functions. Detailed information about using period comparisons, interpreting Previous Period Value, Change (Value), and Change (%) values can be found in the Functionality description - time period comparison.