Reportei

Develop by Reportei

$24-$79

/ Month

Analyze the main digital marketing indicators on one screen!

Customizable dashboard

Visual reports

One screen analytics

Over 20 integrations

Automated report creation

Track indicators

Receive alerts

About Reportei

Launched Aug 08, 2024

Built by Reportei

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(58 Reviews)

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Description

Create Digital Marketing and Sales Reports and Dashboards in just 3 seconds!

Reportei is a reporting and dashboard tool designed for marketing teams managing multiple projects. It integrates with over 20 channels, including Shopify, Instagram, Facebook, and Google Ads, allowing you to view and analyze key indicators on a single screen. By automating the creation of visually appealing reports, Reportei saves time and enhances productivity, letting you focus on strategy and growth without the hassle of manual data collection.

Create Professional Marketing and Sales Reports with Artificial Intelligence.
Speed up your analyses with our Dynamic and Customizable Dashboard!
Create automated reports that can be sent directly via email.
Reportei Control: Track indicators, receive alerts and achieve goals faster!

Pros

Integrates with over 20 channels including Shopify, Instagram, Facebook, and Google Ads, providing a comprehensive view of key indicators on one screen
Automates the creation of visually appealing reports, saving time and enhancing productivity
Allows marketing teams to focus on strategy and growth without the hassle of manual data collection
Offers artificial intelligence for creating professional marketing and sales reports
Provides a dynamic and customizable dashboard for faster analyses
Automated reports can be sent directly via email, adding convenience
Reportei Control feature allows tracking indicators, receiving alerts, and achieving goals faster

Cons

May have a learning curve for new users unfamiliar with dashboard and reporting tools
Potential integration issues with certain channels or platforms depending on updates and changes
Reliance on automated reports might result in overlooking nuanced insights that manual analysis could provide