Dashboards & Data Visualization

Improvado

"Automates marketing reports using data from multiple sources."

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Updated 7 months ago

This company automates the gathering, processing, and reporting of marketing data from various sources. It helps digital marketers extract detailed metrics, centralize and organize data, and transform it into a ready-to-analyze format. It also offers tools to ensure data quality, provide alerts for anomalies, and enable detailed data analysis. The platform supports multiple data sources and integrates with business intelligence tools to deliver actionable insights.

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Improvado Stated Claims

These are public claims Blurbs AI believes to have been made by Improvado.

Data extraction at scale

Improvado claims that it seamlessly connects thousands of advertising accounts from 500+ data sources to pre-built BI dashboards for streamlined marketing analytics.

Automated campaign governance

Improvado claims that it enables users to monitor their campaign compliance before, during, and after launch to ensure flawless execution and reporting.

AI-powered campaign optimization

Improvado claims that it automates the discovery of actionable insights with AI, allowing users to leverage them to maximize their ROAS (Return on Ad Spend).

BlurbSTAR Case Study

ASUS & Improvado

Centralized marketing data for ASUS, saving hours and improving decisions.

30%

Marketing resources saved annually

80-100 hrs/w...

IT resources savings

Situation

ASUS faced challenges in aggregating and analyzing its global marketing data, resulting in inefficiencies and inconsistencies across regions and platforms.

Task

ASUS needed a centralized marketing analytics platform to streamline data aggregation, improve data quality and granularity, and enable faster, data-driven decision-making.

Action

Improvado provided a custom marketing analytics solution that included a reliable data pipeline, enhanced data granularity with reliable connectors, a fully-managed data warehouse, and machine learning capabilities for data observability.

Result

The solution saved ASUS 80-100 hours per week in IT resources, improved marketing resource efficiency by 30%, and enabled the team to focus on analysis instead of routine data tasks.

Keywords

MARKETING ANALYTICS

DATA GRANULARITY

DATA PIPELINE

CENTRALIZED REPORTING

DATA OBSERVABILITY

BUSINESS INTELLIGENCE

DIGITAL MARKETING

MACHINE LEARNING

Improvado

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