Facebook Ads generates valuable data that can help you better focus your marketing pursuits both on Facebook and in other advertising ventures. It provides you with tools to track your ad performance at all levels, from a single ad to a whole ad campaign and provides insights that can show you exactly how those ads are converting into actual sales.
As an advanced, high-speed data analytics platform, Mode helps you understand the information in your data warehouses. As a hybrid solution Mode lets (1) data teams customize queries and visualizations in Python, SQL, or R; and (2) empowers non-tech-savvy users to dive into visualizations and explore live-updating reports to get the data they need.
Bring all your Facebook Ads data to Amazon Redshift
Load your Facebook Ads data to Google BigQuery
ETL all your Facebook Ads data to Snowflake
Move your Facebook Ads data to MySQL
Bring all your Mode data to Amazon Redshift
Load your Mode data to Google BigQuery
ETL all your Mode data to Snowflake
Move your Mode data to MySQL
Track data on your ad campaigns, including the Facebook campaign objective, duration, and status - as well as campaign and account ID's that will allow you to easily integrate this data with related data from other sources.
View information about an individual ad, including what ad set it belongs to, the image used in an ad, and how much you are bidding for the ad's use. Then, use that data to track the overall advertising cost of this ad along with its individual performance within an ad set.
Monitor the performance of a collection of Facebook ads that share a single criteria and budget. This data includes the budgeted amount, what remains from your Facebook Ads budget, and how that ad set is targeted.
See the ways in which your Facebook ads are turning into revenue for your business by tracking cost-per-click, number of conversions, and the type of conversions you are getting. Then you can integrate that data with your ad sets, campaigns, and accounts via their unique ID's.
Mode's SQL editor features a schema browser to explore the tables and columns of your connected data sources. It also has an autocomplete function to assist with query writing, a query history to browse and reuse old queries, and advanced logic tools for creating loops, IF statements, and more.
The technology behind Mode's analytics solution is Helix, a high-performance in-memory data engine that combines modern drag-and-drop business intelligence tools with a code-first (SQL, Python, R) data science platform to offer an instantly responsive user experience. Mode streams query results into the Helix data engine to reduce database load, provide quick responsiveness, and give users the ability to visually navigate as much as 10 gigabytes of data.
Powered by SQL, Python, and R, Mode dashboards display automatically-refreshing metrics without the need for proprietary tools. Customize your dashboards the way you want, with on-brand reporting and interactive features to facilitate collaboration with others across your organization.
Mode features native Python and R Notebooks. This allows you to query in SQL, send the results to a dataframe in R or pandas, and conveniently access them in the platform's native Notebook. At the same time, a sidebar provides tips, shortcuts, and documentation to help you get the most of these features.