How it works

Improvado is an ETL platform that extracts data from various data sources, transforms the data, and loads the results to a final destination.

We have over 500+ integrations and counting and can build out new integrations upon request.

Improvado pulls sales and marketing data at many granular dimensions such as campaign level, geo level, ad level, keyword level, etc. With this approach, marketers can identify actionable insights based on their dataset.

Data Extraction

First, data is collected from different platforms and normalized by the Improvado ONE module. We call it the ONE module because our Improvado's universal REST API consolidates data from all of your connected data sources into ONE. The service works at a low level, behaving like a proxy.

This means, you only need one API instead of dozens to:

Connect data sources via OAuth (login/password etc.)
Discover available accounts, campaigns, metrics, etc.
Place data extraction tasks and get results

ONE module simplifies scaling, error unification and reduces upkeep.

Data Transformation and Load

After data is extracted, data transformation takes place. This includes joining tables, renaming metrics and mathematical calculations that result in a deeper and more complex data structure than the raw data initially extracted by ONE module.

Transformed data is then loaded into either the Improvado database or an external data storage solution specified by the client:

(S3, Google BigQuery, Redshift, PostgreSQL, etc.).

The ability to load data to external data storages is perfect for companies who want to store their data on their own infrastructure or who already have their own data processing solutions.

Improvado access modes

Access Mode

What is the data output?

How is data accessed?

How is data managed?

Why use this mode?

Where is data stored?

Direct requests to Extract (DSAS) API

Raw normalized data from multiple data sources

You will access to it immediately

You get it via API calls

By API calls

You just need data from data sources
‍
You want to store all data and settings within your ecosystem
‍
You need maximum control over the process

Data transformation and loading to your data storage

Transformed, normalized and mapped data (data can vary in a wide range)

In your data storage:
- S3
- BigQuery
- Redshift
- PostgreSQL
- etc.
‍

It will be in your data storage

1. With our UI
‍
‘2. You tell - we do’
‍
3. Via API calls

4. With the custom interface embedded into your product
(details in the table below)

You want to store your data within your ecosystem

You don’t want to manage low-level processes

You want to control resources and growth

You have your own AI or analytic tools for processing your data

calls

5. the same data, same processes, and settings but another storage

You want to have access using programming languages (from your own application)

You want to have access from google spreadsheets

Whitelabel solution

You don’t want to spend time or energy managing this process, so we do it for you.

Simply, user-friendly, branded in your style

You have a fully functional Reporting UI