Resources

Get ready for Data-Led Growth with DinMo by exploring our various resources such as tutorials, use cases, integrations and more

Latest integrations

destination

Google Ads

Use DinMo to run highly effective marketing campaigns on Google Ads by instantly sending audience from your Data Warehouse in a few clicks

source

Google BigQuery

Use DinMo to create a data pipeline between your Google BigQuery Data warehouse and your activation platforms in less than 2 minutes.

destination

Instagram Ads

Use DinMo to create highly targeted audiences that you can activate on Instagram Ads to reach valuable customers in just a few steps

destination

Selligent

Connect Selligent to DinMo in a few clics and unlock new possibilities for your marketing automation

Marketing Automation

Fuel your Growth with Data in no time

Use cases

Use Case

Improve Ads ROI by Excluding Existing Customers

Exclude existing customers in ad campaigns to save on expenses and focus on acquiring new ones with advanced DinMo audience builder.

Acquisition

Use Case

Maximize Ads Reach by Using Lookalike Audiences

This use case provides you with simple steps to maximize your ads reach by creating lookalike audiences from your top customers.

Acquisition

On the blog

The data is extracted, transformed and loaded in business tools.

Data Tooling

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Best Practices

Why do I need Reverse ETL?

6min • Feb 28, 2024

RFM analysis for a better segmentation

7min • Jan 15, 2024

Data Tooling

What is a Composable CDP?

5min • Dec 5, 2023

Our resources

How to prepare the upcoming cookieless world

This guide will help you understand all you need to know about third-party cookies, how they work, what they're used for and and what solutions to adopt to avoid soaring costs

How to implement Meta Conversions API

The ultimate step-by-step guide to successfully implement Meta Conversions API

The Reverse ETL for business teams

In a podcast with DataGen, our CEO Oussama explains how Reverse ETL empowers business teams to activate their data and frees up time for data teams to focus on high-value projects.