The Statistics section helps you evaluate results in real time, identify the most successful channels and campaigns. For example, by selecting the appropriate parameter in the filter, you can see which ads generated the most registrations or sales , and quickly assess which channels work more effectively.

Key Statistic Columns

• Number of clicks - the number of clicks on the tracking link on the landing page.
• Number of subscribers - the total number of dirty subscribers, excluding unsubscribes.
• CR (conversion) is the percentage of clicks to subscriptions.
• Number of net subscribers - the number of subscribers minus unsubscribes.
• CR net - conversion of clicks into net subscribers.
• Number of unsubscribes - the number of users who unsubscribed from the channel.
• % unsubscribes - the percentage of subscribers who unsubscribed from the channel.
• Number of bot activations — the number of times commands are launched (for example, commands: /start, /link, /contact). Any word sent to the bot will also be counted.
• Number of dialogues - the total number of active dialogues with users.
• Number of registrations - total number of registrations.
• Sales amount - number of deposits.
• Reg/Dep – the ratio of registrations to deposits.
• Deposit Sum - Total amount of deposits.
• Number of repeat sales - number of repeat deposits.
• Repeat Sales Amount - The sum of all repeat deposits.

Grouping and filtering statistics

Grouping and filtering data in MVP Project allows you to analyze advertising campaigns in detail, identify patterns and optimize your promotion strategy.

Filtering statistics

Filters allow you to select the required data according to various criteria:

• Date – specifies the time period for analysis.
• Advertising channel – choice of advertising platform.
• Facebook (FB) Campaign – Filtering data by advertising campaigns.
• Ad Set FB – selection of data by ad groups.
• FB Ad - Analysis of specific ad creatives.
• Company Name – View statistics for individual companies.
• Adset name – detailed data for specific ad groups.
• Ad Title – Filter by ads.
• Placement location – selection of placement platforms (feed, stories, etc.).
• Source name – division of paid and organic traffic.
• Landing – analysis of the effectiveness of individual landing pages.
• Channel – filtering by traffic sources.
• Spot type – segmentation of data by advertising formats.
• Country – highlighting statistics by region.
• Bayer - analysis of the work of the specialists who launched the advertisement.

Filtering helps you focus on the data you need while eliminating unnecessary information.

Grouping statistics

Grouping is a way to categorize your ad results into different categories to better understand what works and what doesn’t. It helps you find patterns, evaluate performance, and make more accurate decisions. Available options:

• Date – analysis of dynamics by days.
• Month – evaluation of the effectiveness of advertising strategies on a monthly basis.
• Year – comparison of results for different years.
• Channel – analysis of the effectiveness of traffic sources.
• Advertising channel – details on placement sites within platforms.
• FB Campaign – Analysis of the success of individual advertising campaigns.
• Adset FB – evaluation of the effectiveness of different targeting segments.
• FB Ads – Identifying the most converting creatives.
• Company name - analysis of results for specific advertised brands.
• The name of the adset is a comparison of different ad groups within campaigns.
• Ad Title – details on specific advertising messages.
• Placement - Comparison of the effectiveness of different placements.
• Source – division of data by methods of attracting traffic.
• Landing – analysis of the effectiveness of landing pages.
• Bayer – control over the performance of specialists launching advertising.
• Country – study of advertising effectiveness in different countries.