Coupler.io Features

Based on 13 Coupler.io reviews. Helps marketers measure return on investment (ROI) by analyzing campaign effectiveness against costs

Based on 13 Coupler.io reviews. Gathers data about the effectiveness, impact, and reach of marketing campaigns

As reported in 13 Coupler.io reviews. Collects and reports on data relating to customer journeys, preferences, and history

Based on 13 Coupler.io reviews. Allows multiple users access to a unified, transparent overview of analytics, dashboards, and campaign results

Includes features for budgeting, forecasting, and managing marketing investments 13 reviewers of Coupler.io have provided feedback on this feature.

Offers a white labeling service for agencies or resellers to customize platform branding This feature was mentioned in 13 Coupler.io reviews.

Analyzes historical and current marketing campaigns to inform future strategy This feature was mentioned in 13 Coupler.io reviews.

As reported in 13 Coupler.io reviews. Creates reports and dashboards to analyze results of campaigns

Identifies which marketing campaigns resolved in open or closed opportunities 13 reviewers of Coupler.io have provided feedback on this feature.

Based on 13 Coupler.io reviews. Collects marketing campaign performance data across multiple channels

Provides opportunities for brands and businesses to fix or modify existing or future campaigns via feedback 13 reviewers of Coupler.io have provided feedback on this feature.

Based on 13 Coupler.io reviews. Uses artificial intelligence (AI) to predict campaign outcomes and suggest actions for optimization

As reported in 55 Coupler.io reviews. Organize extracted data into a more easily digestible structure.

As reported in 53 Coupler.io reviews. Amass extracted data in a variety of data formats like spreadsheets and .csv.

As reported in 20 Coupler.io reviews. Clean extracted data by removing duplicates, clearing excess characters, grouping by characteristic, and more.

As reported in 53 Coupler.io reviews. Generate visual data representations from extracted data.

Extract data from the designated source(s) like relational databases, JSON files, and XML files.

Cleanse and re-format extracted data to the needed target format.

Load reformatted data into target database, data warehouse, or other storage location.

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Capable of scaling processing power up or down based on ETL volume.

Record ETL historical data for auditing and potential data correction needs.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting