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Start with the end in mind

A transparent guide to Marketing Mix Modelling.

How to work with us

1

Start the collaboration

Lay the foundation:

  • Define your brand's importance and key dynamics.
  • Identify channels and segmentation opportunities.
  • Align platform scope clearly with your specific needs.

2

Data ingestion

Build a reliable data pipeline:

  • Define and establish the necessary data connections.
  • Validate data completeness, accuracy and accessibility.
  • Ensure all data is mapped correctly with our support.

3

Model your data

Implement and refine your model:

  • First model run and technical validation.
  • Refine the model through your business validation.
  • Last adjustments to the final working model.

4

Go live

Transition seamlessly to production:

  • Go live after validation from your team.
  • Access all dashboards and tools to support your work.
  • Get guided through first insights for a smooth start.

5

Platform training

Empower your team with workshops:

  • Use the platform and understand the model structure.
  • Explore dashboards with expert guidance.
  • Get answers with tailored examples for your business.

Our Methodology

Let’s start with: what is Marketing Mix Modelling?

Marketing Mix Modelling (MMM) is a robust analytical technique designed to help businesses understand which aspects of their marketing strategy contribute most to sales and profitability. By analysing extensive datasets and leveraging advanced statistical methods, MMM identifies the actual impact of each marketing channel. This empowers companies to make smarter decisions about budget allocation and strategy.

For example, a business running campaigns across TV commercials, paid search ads and outdoor billboards might discover through MMM that while TV commercials generate broad awareness, it’s the paid search ads that drive the most conversions. Armed with these insights, businesses can refine their marketing efforts to maximise impact and achieve their specific goals under varying market conditions.

What is Marketing Mix Modelling?

What makes our model a next-gen MMM?

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Increased granularity

Our model leverages detailed data and advanced modelling techniques to uncover key performance drivers and provide actionable channel insights.

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Machine learning & forecasting

Powered by machine learning, our model improves accuracy, adapts to trends and forecasts outcomes. It identifies critical business trends and growth opportunities.

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Bayesian optimisation

We use Bayesian optimisation to combine insights with experiments, ensuring reliable performance and better decision-making even with limited data.

cookieless

Future proof

Powered by machine learning, our model improves accuracy, adapts to trends and forecasts outcomes. It identifies critical business trends and growth opportunities.

What factors do we consider in the model?

Business Dynamics
Digital Media
Experiments
External Factors
Events
Offline Media

Offline media refers to communication channels that do not require internet connectivity, such as print publications, broadcast television, radio, and physical advertisements.

These are ongoing business variables that impact your key performance indicators (KPIs). They come from fluctuations in the competitive landscape and your internal business operations. Examples include competitor pricing changes, promotional activities and your own pricing adjustments.

External factors include non-controllable environmental and temporal factors: weather conditions, seasonal trends, and periods of increased consumer spending like salary weeks.

Events are one off occurrences which have defined start and end dates, such as sales promotions, new product releases, sports tournaments or website outages.

In a Marketing Mix Model (MMM), we finetune model outcomes by incorporating learnings from experiments such as lift studies to enhance model accuracy and predictive power.

Digital media refers to content that is created, distributed, and consumed through electronic devices and internet-connected platforms, including websites, social media, streaming services, and digital publications.

Frequently Asked Questions

What is Objective Platform

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Objective Platform is a SaaS solution designed to track and optimise multi-channel media investments. It consists of four layers:



1. Data Extraction:
We build connections to all relevant engagement and advertising platforms to automatically collect and deliver data to Objective Platform on a daily basis. The result of all data in one location: transparency and clarity, as all teams and agencies are working with the same data.



2. Data Transformation:
All raw data is cleansed, paired and structured to ensure the data meets business needs and is ready to model with. Raw and transformed data is monitored by our Data Quality Layer.



3. Modelling:
We build our own models and run these on the transformed data. The most important models behind Objective Platform are our attribution models, including multi-touch attribution, marketing mix modelling and unified models, as well as our prediction and optimisation models. All models are configured to your brand’s specific business needs and dynamics.



4. Visualisation:
This flexible layer visualises the previous steps in a series of dashboards and optimisation tools. All dashboards are configured for your brand, are updated daily and are dynamic. You can select time periods, granularity and media channels to view, for example, or run scenarios for upcoming time periods.

Why Objective Platform

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Advertising platforms are all fighting to claim credit for the same conversions. Lack of transparency makes it difficult to identify opportunities or saturation and effectively allocate spend across channels. Objective Platform is completely independent from media buying. We let the data speak. Every single insight and any advice you find in Objective Platform is purely based on your data. And as we built all the models ourselves, we can tell you exactly how these results came to be.

What is included in Objective Platform?

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Each brand has different needs, so we built a flexible solution. Objective Platform breaks down into standalone modules and features. Based on your business questions, objectives and media channels, we define a starting point and a roadmap to expand and advance your tracking and optimization capabilities.

Can I gain insights into and optimise my walled gardens?

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We break down your walled gardens, such as Facebook campaigns. Using media mix modelling, we can measure the incremental impact of all channels on your KPIs.

Can I take external factors into account?

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Yes. We know your result is influenced by more than your media activities. We take one-time special events and general factors such as seasonality, the weather, holidays, salary weeks, etc. into account on a standard basis.

Can I take dynamics specific to my business into account?

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We also model the dynamics specific to a certain industry or business. These have a continuous but variable impact on your business over time and interact with the impact of your media activities, such as competitor pricing.

What is data science to us?

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Before Objective Platform in its current form was founded, we implemented standard attribution software. These were black boxes. When clients started asking questions about the models and outcomes, no one could answer them.



So we started writing our own attribution models, and this eventually grew into Objective Platform. Our data scientists write the models, so they know them inside out and can configure them to meet any brand’s specific needs. Thanks to our data scientists, we are adaptable and flexible, and are able to share the workings of the modelling core of our software solution with our clients.

Why is data science important?

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Every company is different. A standardised software solution can only go so far in modelling a company’s specific business dynamics and answering their business questions.
Our customer success teams always include data scientists and we invest a lot of time in getting to know the business. The data scientists make sure the business side is configured in our models and software.

How does Objective Platform work with media agencies?

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Objective Platform is a marketing analytics company and independent from media buying. We work alongside media agencies to deliver value to our shared clients.

We support media agencies in creating data-driven media plans for shared clients and train them in the use of our optimisation tool. Media agencies often provide input into the unique business dynamics of shared clients, enabling us to better configure our models and drive innovation.

How quickly can I be up and running?

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Within 6 weeks it’s possible to start working with your first insights in Objective Platform.