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Coupler.io Features

What are the features of Coupler.io?

Functionality

  • Data Structuring
  • Consolidation
  • Visualization

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Marketing Operations

ROI Tracking

Helps marketers measure return on investment (ROI) by analyzing campaign effectiveness against costs

Not enough data

Data Collection

Gathers data about the effectiveness, impact, and reach of marketing campaigns

Not enough data

Customer Insights

Collects and reports on data relating to customer journeys, preferences, and history

Not enough data

Multi-User Access

Allows multiple users access to a unified, transparent overview of analytics, dashboards, and campaign results

Not enough data

Spend Management

Includes features for budgeting, forecasting, and managing marketing investments

Not enough data

White Label

Offers a white labeling service for agencies or resellers to customize platform branding

Not enough data

Campaign Activity

Campaign Insights

Analyzes historical and current marketing campaigns to inform future strategy

Not enough data

Reports and Dashboards

Creates reports and dashboards to analyze results of campaigns

Not enough data

Campaign Stickiness

Identifies which marketing campaigns resolved in open or closed opportunities

Not enough data

Multichannel Tracking

Collects marketing campaign performance data across multiple channels

Not enough data

Brand Optimization

Provides opportunities for brands and businesses to fix or modify existing or future campaigns via feedback

Not enough data

Predictive Analytics

Uses artificial intelligence (AI) to predict campaign outcomes and suggest actions for optimization

Not enough data

Functionality

Data Structuring

Organize extracted data into a more easily digestible structure. 40 reviewers of Coupler.io have provided feedback on this feature.
92%
(Based on 40 reviews)

Consolidation

Amass extracted data in a variety of data formats like spreadsheets and .csv. 37 reviewers of Coupler.io have provided feedback on this feature.
95%
(Based on 37 reviews)

Visualization

Based on 38 Coupler.io reviews. Generate visual data representations from extracted data.
91%
(Based on 38 reviews)

Extraction

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

Not enough data

Transformation

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

Not enough data

Loading

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

Not enough data

Automation

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

Not enough data

Scalability

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

Not enough data

Management

Auditing

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

Not enough data