Marketing Data Integration

Directly connect your marketing data, in minutes, and in an easy to use format.

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Our data integration and data platform (DMP) makes it easy to connect all your data sources with our Marketing Attribution Software. It is quick and simple to join and integrate it with other information and use the data together in any other application, marketing platform or visualization tool. Your data can also be streamed to any existing data warehouse.
Focus on the insights gained from the data integrations and run your business, rather than spend time on integrating data.

Integrations for every marketing data source

salesforce 2


The leading cloud-based CRM tool

adwords 2

Google Ads

An advertising service that helps companies attract new website visitors

bing 4

Bing Advertising

Bing Ads is a service that provides pay per click advertising

twitter 2

Twitter Ads

A microblogging and social networking service

tiktok small

TikTok Ads

A social media advertising service


Snapchat Ads

A social media advertising service

app nex


A customizable DSP that leverages advanced machine learning


The Trade Desk

DSP for precision targeting across display, video, mobile, native, audio and TV



An inbound marketing and sales platform that helps companies attract visitors


RTB House

Helps internet retailers serve personalized advertisements through retargeting


Connect any application via API



Helps internet retailers serve personalized advertisements through retargeting

apple search ads Field Reference logo

Apple Search Ads (ASA)

An advertising service that helps companies attract new app visitors


Facebook Lead Ads

A social media advertising platform

Google Ad Manager

Google Ad Manager

An advertising service that helps companies attract new website visitors

google analytics

Google Analytics 4

The worlds leading web analytics platform

facebook logo

Facebook Page Insights

A social media advertising platform


Google PageSpeed Insights

Website Performance Testing and Monitoring Tool



The Complete TV Advertising Platform

airtable Field Reference logo


A low-code platform for building collaborative apps

twitter ads Field Reference logo

Twitter Organic

A microblogging and social networking service

Zendesk Field Reference


Customer service software for the best customer experiences



The Global Media Platform

quora Field Reference logo

Quora Ads

A platform to ask questions and connect with people who contribute unique insights and quality answers

Rakuten Advertising Field Reference

Rakuten Advertising

Digital Customer Acquisition Solutions

idealo Field Reference logo


A German price comparison service

intercom Field Reference logo


Making Internet Business Personal

linkedin ads Field Reference logo

Linkedin Pages

A social media network focused on professional relationship, and employment opportunities

Google Search Ads 360

Google Search Ads 360

An advertising service that helps companies attract new website visitors



Industry-Leading Programmatic Advertising Platform

Yahoo! Japan

Yahoo! Japan

An online advertising behemoth in Japan

Dragon Metrics

Dragon Metrics

Improve Ranking & Automate Reporting with the First Truly Global SEO Platform

Spotify Ads

Spotify Ads

Spotify is a digital music service that gives you access to millions of songs



An end-to-end solution for every stage of the app marketing journey

Commission Factory

Commission Factory

A performance marketing platform that allows bloggers to earn money and retailers to increase sales

adobe analytics 1

Adobe Analytics

A market-leading solution that collects data based on user preferences.



A marketing automation and lead generation tool from Salesforce

tiktok organic

TikTok Organic

A social media advertising service



An online fulfillment software

google analytics 1 2

Google Analytics

The worlds leading web analytics platform

facebook logo 2

Facebook Ads

A social media advertising platform


LinkedIn Ads

A social media network focused on professional relationship, and employment opportunities


Pinterest Ads

A social media network focused on sharing and discovering information using images

adroll 1


AdRoll is an advertising platform that helps companies grow revenue through seamless marketing and ads


Display & Video 360

Google’s DSP, allowing advertisers to buy inventory from publishers and ad exchanges

campaign manager logo 2

Campaign Manager 360 (CM 360)

Simplifies advertising campaign management, from media planning to reporting



The world’s leading discovery & native advertising platform


A single online email marketing solution



A service for managing and accepting all your online payments.

adform logo


An ad serving, media planning and demand side platform



An content management system for e-commerce websites



A software that offers for customer experience automation.

google search console Field Reference logo

Google Search Console

The worlds leading SEO analytics platform

awin Field Reference logo


Global Affiliate Marketing Network

Daisycon Field Reference logo


A cloud-based performance marketing solution


Amazon Seller Central

An advertising service that helps companies attract new website visitors

appsflyer Field Reference logo


The global leader in marketing measurement, analytics, and engagement


Amazon Ads

An advertising service that helps companies attract new website visitors

Zendesk Field Reference

Zendesk Support

Customer Service Software and Sales CRM

zoho crm Field Reference logo

Zoho CRM

Top-rated Sales CRM Software by Customers

pinterest Field Reference logo

Pinterest Organic

A social media network focused on sharing and discovering information using images



Sales CRM & Pipeline Management Software

Reddit ads

Reddit Ads

A network of communities where people can dive into their interests, hobbies and passions



All Your Digital Marketing Tools in One Place



A social media advertising platform

klaviyo Field Reference logo


Marketing Automation Platform for Email & SMS with CDP



A freeware app for instant communications on electronic devices

outbrain Field Reference logo


Recommendation Platform Powered by Native Ads

amazon Field Reference logo

Amazon Vendor Central

An advertising service that helps companies attract new website visitors

salesforce Field Reference logo

Salesforce Marketing Cloud

A customer relationship management (CRM) platform for marketers

CJ Affiliate

CJ Affiliate

A popular affiliate network for anyone looking to earn passive income with affiliate marketing



A video-sharing platform with 2.6 billion monthly users worldwide

google my business

Google My Business

A free business listing that supports reviews, Q&As, posts, and more



A financial metrics platform that provides users with allir financial and subscription metrics in one place

basis dsp

Basis DSP

A digital advertising platform



A marketplace advertising technology platform



An open-source e-commerce platform

We can support any cloud-based software. Connect thousands of tools and apps with ease.

Achieve more with SQL

No more using CSV dumps and spreadsheets to bring together data from different Software as a Service (SaaS) systems. With, all your data is delivered to a relational data warehouse, giving you full clarity across all of your data sources.

Start integrating your marketing data

Once all your data is in a single location, things become easy. Enable machine learning or connect the world's most powerful visualisation tools: the opportunities are endlessly exciting. Use to integrate your data and your favourite analytics tool to provide a big boost to your business.

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Why is data integration so important?

While organizations invest in advanced analytics tools and the talent to operate these tools, the one component that makes or breaks the effectiveness of any organization’s analytical efforts is data integration. Data integration (DI) is a set of techniques to pull in data from different sources, merge them into one holistic view, and preserve that integration in the future.

There are a number of approaches to doing this effectively, but the most popular approaches include:


  1. Extract, transform, and load (ETL): data is extracted from different sources, transformed into a unified, usable format for analysis, and loaded into a database, such as a data warehouse;
  2. Data federation: where vast amounts of data make unification via ETL costly and inefficient, databases can be federated, allowing them to run independently but still have their data accessed holistically through federation software;
  3. Database replication: to ensure that data is preserved and protected, the central database (master) can be designed to push out updates to copies (slaves) when its own contents are copied;
  4. Data synchronization: to harmonize data between a variety of instances, such as files accessed remotely via cloud services; and
  5. Changed data capture: to provide meaningful metrics on how the data in the database has transformed, such as timestamps on changes and identifying the entity behind the change (for example, a particular, authorized user)


All these techniques require support for a wide range of interfaces, to allow the resulting DI solution access to databases, applications, and files to extract or load data. Solutions based on these techniques may be crafted in-house by the DI provider, based on a third-party’s tool, or a mixture of both.

Without the ability to integrate data across various customer touchpoints (for example, sales information, number of phone call inquiries made about the product), analytics yields little value, while wasting countless time and effort. This makes attribution modeling extremely difficult; if you can’t look at your data and easily understand how your consumers interact with your business and your marketing efforts, then it’s a huge hassle to determine when and how your customers became your customers.

Avoid the confusion, and gain a sense of how your customers really connect with you.

If your business is sitting on a lot of data, chances are it’s in dire need of clean-up and organization. In fact, the majority of time data analysts and data scientists spend in their workday cleaning and organizing data.


Why do data scientists spend so much time doing this?

  1. The existing data platforms they work with do not allow for meaningful data extraction, nor connection to other platforms;
  2. Incompatible formatting of data, which render joining one database to another an extremely time-consuming, if not impossible, effort; and
  3. Inaccuracies in the data that go unnoticed.


Cleaning and sorting data is among the least favorite activities of data scientists. Why not get them focused on the more powerful data integration transformations – what they’re really good at – by following these simple steps:


  1. Start small

When crafting a new database, don’t dump everything in it at once! Even one gigabyte of information can be overwhelming to sort at the start. Begin with a small sample of the dataset, just enough for developing a system and debugging it. Start with just one file, or even one WHERE clause for a relational database. Using too much data at this point only lengthens development time. Then, once you have confirmed that your dataflow works correctly, you can develop your data integration solution gradually, part by part, adding the rest of the dataset a little bit at a time. Keep in mind we are working with a small sample of the data, so check the output after each intersection and make sure that the results are correct.


2. Create multi-departmental checks and balances

Ensuring seamless data integration requires the contribution of multiple teams, not just from your data scientists leading development. Stakeholders from various departments should be encouraged to test the data frequently and share with the development team any inefficiencies and inaccuracies.

Organizations that rely on data from external sources need to ensure compatibility and accuracy with their internal data warehouse. Indeed, a master data governance system needs to be created where all newly-developed data must have their accuracy and compatibility validated against the master database before being integrated with other systems.

An organization’s data integration hub will need to evolve to meet the new corporate goals. This can only happen if the data development team maintains open communication with other teams and business stakeholders, to plan for changes in corporate goals well ahead of their implementation. This may mean changing the format in which data is tracked and recorded, investing in newer tools to provide the data needed, or adding new categories of information to track.


3. Retain a history of changes

Many old, legacy database systems do not record a timestamp for changes made. As a result, erroneous assumptions about dataflow can be made. Systems must timestamp every change made in each system.

Newer systems do record the dates and times of changes and the content of the change itself. This can assist in effective data delivery. There is increasing legal pressure in jurisdictions around the world to maintain a history of all transactions, yet in the interests of efficiency a day-to-day operational system may not be the best place to store these. Instead, an effective data integration system should incorporate data archiving solutions to preserve transactional history.


Invest in your own data integration platform.

With myriad systems of customers, channels and campaigns, it can be difficult to keep all of your marketing data connected. With new data sources being added all the time, it’s essential for marketers to have the tools to continuously support their data integration needs. Data integration allows businesses to bring together all of their various data sources and provides them with actionable insights.

To thrive in today’s data-rich environment, it is worth considering outsourcing data integration. Getting outside expertise is particularly helpful if your organization moves quickly and has an opportunity to avoid the common pitfalls noted above. With’s data integration tool, you can onboard data from any marketing, e-commerce or CRM source, build segments and act on them in real time, with’s technology that consist of an attribution model which follows the customer journey from first to last touch point, and can help improve your efforts and optimize your marketing spend.


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