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Generate valuable (marketing) insights by connecting your siloed marketing platforms into one Data Warehouse solution. We help with determining and implementing the ideal data infrastructure.



A data warehouse is a large, centralized repository of data that is used to support business intelligence activities such as data mining, analytics, and reporting. The purpose of a data warehouse is to provide a single, unified view of an organization's data, making it easier to analyze and use for decision-making purposes. Data warehouses typically store data from multiple sources, and often include historical data as well as current data. Data is organized in a way that makes it easy to query and analyze, and data quality is carefully monitored to ensure accuracy and consistency.

Moreover, data warehouses also enable organizations to use data that would have otherwise been difficult to access. By consolidating data from multiple sources, businesses can save time and resources that would have been spent collating data from various sources. Overall, data warehouses are a valuable tool for businesses in the highly competitive world of data analysis and decision making.

your challenge

Lacking actionable insights.

You are not able to generate actionable insights with your current analytical tooling. Data is siloed within different tooling and you use excel sheets to combine data within one overview.

Our solution


Metric overview, growth modelling on key growth levers to instrument team. Done in best in class tools such as Looker Studio, SuperMetrics or Tableau

OUR solution

our way of working

Clear and actionable dashboard visualizations that improves your team data literacy.

Phase 1
Data workshop

We aim to build with you from day one. We have end-to-end teams that can deep dive into your desired product, customers, and market, whether you want to launch a new product in an existing market or seek to disrupt an entire industry.

• Find your ideal problem-solution fit
• Qualitative customer research & interviews
• Map out the desired customer journey

Data cleanup & visualisation

A go-to-market strategy is a plan that helps to define your ideal customers, validate your messaging, and position your product for launch. We deconstruct your new business into testable riskiest assumptions, so we quickly guide you to product-market fit.

• Build, test & launch your first (online) MVP
• Find and acquire your first customers
• A go to market plan with a proven process

Training your team

We help you kickstart early user growth to gain traction with your product or service. We help you find your AHA moment to identify your North star metric. This metric should be a reliable indicator of directionality guiding your journey from idea to validation.

• Setup your acquisition channels
• Implement a minimal tracking plan
• Growth model based on first insights


our way of working

Connecting your siloed marketing platforms into one Data Warehouse solution.

Phase 1

The process of building a client's data warehouse is highly dependent on the client's needs and the type of sources. At first, we'll get together to understand exactly what those are, so that we can understand how best to support then.

Together with our marketing and data engineer specialists we kick-off with a workshop. During this session we look at the current data infrastructure and determine the ideal end state.

Once we have all information, we will determine the ideal data infrastructure, tools and implementation process to reach our ideal state quickly and efficient. This will be presented during next session.


Once the ideal data infrastructure is determined, the engineer will begin the implementation process. This will involve creating a tailor-made tracking and implementation plan, configuring the necessary tools, and debugging the implementations.

The data engineer is responsible for managing the data pipeline and ensuring that the data is processed and stored appropriately. The data engineer works closely with the product manager to create an efficient process which integrates into a variety of applications and databases.

Create dashboards & visualizations

Only storing data is not insights full. Therefore it's important to note that a data warehousing track is not often pursued independently and is typically connected with a dashboard track.

We will build visualizations in best-in-class dashboard tools such as Looker Studio, PowerBI, or Tableau. We make sure to include all the key revenue levers and metrics that are defined. The dashboard is designed to be easily digestible and visually appealing, so that the your team could quickly and easily monitor their performance.

client case


citizenM is the hotel that changed hotels. This Dutch corporation offers affordable luxurious hotel rooms in some of the most vibrant cities in the world. Not only their rooms feel hyper modern, but the guest experience is accompanied by a great app experience too. Engaging with the app drives not only a more pleasant experience but also business value. So citizenM challenged us to untangle what levers and variables make up their engagement metrics and we presented strategies on how to improve it.

Our preferred tooling suppliers
Case study

What you can expect

We work in your office or remote on a weekly basis

We work in a cross functional team with experts

We report on a weekly basis with all results

We train and transfer our knowledge within 6-12 months

We are cheaper than a bad hire, and less expensive than sport cars

Our NPS score (from 2016 - 2022) is 72


Full in-house team for a period from 3 till 12 months.

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about this service

We take your business reach to millions

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Do you want to stay ahead?

We partner with ambitious brands, big and small. Our core expertise lies around marketplaces, mobile apps, eCommerce and SaaS.

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We speak fluent data, but we're also very keen to have a chat about your MVP, go-to-market (GTM) strategy or scale ambitions.

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