Build data-pipelines without a single line of code

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Visual step-by-step transformation workflow

If you're not putting your data through a preparation and transformation process, you're likely compromising your vision.

The automated data preparation process is a chain of data transformations that only need to be set up once.

Speed it up with a library of pre-built recipes
No code or SQL knowledge needed
Set-up a schedule for your pipelines

Forget about
data silos,
discrepancies,
and SQL

Multi-Channel Attribution Analytics

Properly attribute every touch point of your customer journey across marketing, sales, and product. Improvado helps to embrace the complexity and solve value attribution.

Track Marketing Performance (CPA, ACV, etc.)

Combine conversion analytics from your website or mobile application with spends to understand CPA of every channel.

Cross-Channel Analytics

View spend and performance data across multiple channels in realtime.

Forget about data silos, discrepancies, and SQL

Execute reusable recipes to transform data from almost any data source, then pass into data warehouse or business intelligence destinations, where it can serve for the reports that power your data insights.

Data preparation pipeline

Execute reusable recipes to transform data from almost any data source, then pass into data warehouse or business intelligence destinations, where it can serve for the reports that power your data insights.

Ready to use recipes

Build once and process anywhere. Industry standard recipes accelerates the speed at which the data is made available to your business, as well as saves costly engineering resources, which traditionally required for these types of data transformations.

Ready-to-use transformation recipes

How to Create Cross-Channel Normalization: Google Ads, Bing, DV360, Facebook [2020 Guide]
Grow Your Brand’s Social Media Performance

Recipes

Industry standard recipes accelerates the speed at which the data is made available to your business, as well as saves costly engineering resources, which traditionally required for complex types of data transformations.

Data consolidation

Improvado offer approach with data consolidation on the fly. Combine, map and normalise data to produce a comprehensive data set for your marketing activities.

Zero engineering

Easily and quickly build your own data pipelines within an intuitive spreadsheet-like user interface. Zero engineering required.

300+ Functions

300+ point-and-click functions to perform anywhere from simple to complex transformations, discovery or data science preparation your business need.

Ready-to-use Recipes

Recipes

How to Create Cross-Channel Normalization: Google Ads, Bing, DV360, Facebook [2020 Guide]

Collect data in one place with Improvado and send it any tool you use. No more engineering resources wasted. No more manual anything.

Grow Your Brand’s Social Media Performance

Ready to get started with Improvado?

We're here to help with any questions
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Your marketing data, simplified🤘
SCHEDULE A DEMO

Ready-to-use transformation recipes

How to Create Cross-Channel Normalization: Google Ads, Bing, DV360, Facebook [2020 Guide]

Grow Your Brand’s Social Media Performance

Cross-channel attribution

Combine advertising and revenue data into a dashboard that paints a clearer picture of what really works.

Now you can re-allocate your budget accordingly and maximize ROI. Improvado is built to plug into your current and future tech stack — it will always send your data where you want it.

Standardize data before it hits your ecosystem

Discovering exactly what is in your data and how it might be useful for different analytic explorations is key to quickly identifying the value or potential use of a dataset.

This exploration process allows you to gain an understanding for the unique elements of the data such as value distributions and outliers to inform the transformation and analysis process.

Structuring is needed because data comes in all shapes and sizes. Data lacking human-readable structure is difficult to work with using traditional applications. Even well-structured datasets often lack the proper formatting or appropriate level of aggregation required for the analysis at-hand.

Cleaning involves taking out data that might distort the analysis. A null value, for example, might bring an analytic package to a screeching halt; it may need to be replaced with a zero or an empty string.

Particular fields may need to be standardized by replacing the many different ways that a state for example might be written out -- such as CA, Cal and Calif -- with a single standard format.

Enriching allows you to augment the scope of your analysis by incorporating disparate internal or 3rd-party data into your analysis. This step includes executing common preparation tasks such as joins, unions or complex derivations.

Purchase transaction data, for example, might benefit from data associated with each customer's profile or historical purchase patterns.

Validating is the activity that surfaces data quality and consistency issues, or verifies that they have been properly addressed by applied transformations. Validations should be conducted along multiple dimensions.

At a minimum, assessing whether the values of an attribute/field adhere to syntactic constraints as well as distributional constraints.

Perfectly fits data of any size

Connect your CRM
Blend it with marketing data
Aggregate from any sources
Explore the full catalog

Take an advantage of whole ecosystem of Improvado products

Marketing team and data analysts spend too much time cleaning data instead of analyzing it. Improvado Data Preparation tool provides a self-service, point-and-click tool to quickly identify errors and apply rules that you can easily reuse and share, even across massive data sets.

Single solution for all your data-needs: extract marketing data, blend it with your internal datasets.

Take advantage of the entire ecosystem of our products

Marketing teams and data analysts spend too much time cleaning data instead of analyzing it. Improvado Data Preparation provides a self-service, point-and-click tool to quickly identify errors and apply rules that you can easily reuse and share, even across massive data sets.

It’s a single solution for all your data-needs: extract marketing data and blend it with your internal datasets.

Skip SQL, map and transform data
with just a few clicks

Get raw data or mapped data

Specify whether you want to receive raw or mapped data based on your business needs.

Compare cross-channel metrics

Once aggregated, side-by-side comparisons of important cross-channel metrics can be used to address some of your biggest business decisions.

Change attribution models

Set your rules and define how credit for sales and conversions is assigned to touchpoints in conversion paths.

Map Google Analytics data
with advertising data

Google Analytics provides APIs to collect, configure, and report on user-interactions with your online content.

Our mission is help you get your data wherever you want it to go within your own ecosystem. Getting started is easy!

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We're here to help with any questions
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Your marketing data, simplified🤘
SCHEDULE A DEMO

Contact our sales team

Companies like Havas, Dialect are starting with Improvado.io automated marketing data pipeline to empower their teams to be data-driven every day. Let us show you what Improvado.io can do for you.
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