Growth Services
Growth prediction modeling
Predict your growth

We combine data science and rapid experimentation.

Our data-driven approach guarantees a value creating laser focus.
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Why should you start with Growth Prediction Modeling?

Are you already in experiment mode? Is your team already working according the growth marketing methodology? In that case prediction modeling can lift you to the next level by infusing your growth experiments with a data science layer.
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Rapid Experimentation
We set up a ton of experiments in a very short amount of time. Adjust the parameters in the process of doing. All of this, while managing risks and optimizing costs and revenues.
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Segment your customers
Use cluster techniques and predictive modeling to group your customers into different distinct groups. This way, you start making relevant tactics per segment of customers.
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Only One Metric Matters
What’s unique for this approach is that we focus on improving only one single metric. Focusing on the OMTM allows us to keep focus and to point all our experiments in the same direction.
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Unlock the insights
Experiments generate new data points. In combination with your customer data, we discover new insights to be used in the definition of new tests.
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Build your experiment repository
As your organization becomes experiment-driven, we help to create a repository of your experiments. Together with our benchmark catalog, we help to determine your next best experiments.
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Predict the outcome
Based on your experiment catalog and our benchmark catalog, we predict the outcome of conversions and leads before the experiment has started.

Our Prediction Modeling approach

Our 6-step approach to predict your business growth

Our Prediction Modeling approach

Our 6-step approach to predict your business growth
01
Data Discovery & Dump
Getting hands-on with your CRM & transactional data. The moment you have 1000+ customers and a notion of a customer within your transaction data.
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Analysis & Insights
Delivering first insights on your customer data. Next, we start defining segments (clustering or lookalike models).
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Define relevant experiments
Based on the profiles of the customer segments, and workshops, we define feasible actions as input for the first wave of experiments.
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Experiment rounds
We create all the assets for the shortlisted experiments. Once done, we dive into weekly kill/scale rounds. Focus is on institutionalizing what works and dropping what doesn’t asap.
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Optimize experiment outcomes
Based on detailed data from the kill/scale rounds, we perform an analysis to get insights for defining the next experiment runs. Identify customer segments to optimize results.
06
Growth Prediction model
All experiments are being stored in a repository. This new source will become the center of knowledge and will be used to predict the results of new experiments.
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Data Discovery & Dump
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Analysis & Insights
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Define relevant experiments
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Experiment rounds
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Optimize experiment outcomes
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Growth Prediction model
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“From 0 to 567 SRO’s within 3 months.”
Find out how we helped SD Worx reduce their SRO cost.,
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They already launched their project