How to make the most out of your customer data

We apply e-commerce metrics to your circuit business
Customer Segments

Knowing your customers means more than knowing their name and latest purchase. Algorithms segment customers in groups you not see at a glance. We use customer segments to target "lookalike customers" as new leads or to optimize products.

Up- and Cross Sale

We enhance your customers' online booking turn-over by determining up- and cross sale potential. You are used to it from platforms like Amazon: "People who bought this product also bought XYZ" - It's no rocket science! - It's all about data insights.

Pricing Strategies

What is the best price point for your products? Shall I offer discounts, early-bird rates, product bundles or low-priced entry products? We enable you to combine these strategies with additional data points like booing rate, lead-time until the event and customer segments to get the best out for you.

Reduction Churn Rate

Do you know it costs an organisation more to find new customers than incentivicing existing ones? We thus apply algorithms to calculate the customer lifetime value and trigger your sales and customer relations team before you are likely losing your customer.

How to start your customer data analysis project

It only takes a few things to start a project together
Identification of business goals

Each data analysis project starts with the identification of your goals: Do you want to generate new customers, increase up- and cross-sale or understand and reduce your customer churn? We apply common e-commerce metrics to the circuit industry - metrics, that we use for our own platforms as well.

Identification of Data Sources

We help you to identify suitable data sources of your circuit which can form as a basis for your project. Don't be affraid: We do not need all data from you during the concept phase. We only take a look at the data structure and a few examples, not the full data itself.

Integration of results into your daily work

Data insights are great but it is more important to integrate the KPIs into your daily work. We provide you with concepts and tools to make use of them, i.e. by triggering your sales CRM or targeted marketing, up- and cross-selling campaigns.

Let's start your project

No matter whether you want to briefly discuss your idea or better understand how we work: Let's get in touch and have a first brainstorming about your data-driven customer analysis project together.
Contact us
Definition Yield Management
Yield management is a variable pricing strategy, based on understanding, anticipating and influencing consumer behavior in order to maximize revenue or profits from a fixed, time-limited resource.

Yield Management for Track Rental Rates

How yield management can help you to maximize the turn-over in your track rental business
Track utilization rate

Your own track utilization rate is the most obvious yield parameter: If you are fully booked in certain months and have more requests than available, our pricing algorithm can calculate an optimal price point per time frame.

Booking lead-time

The combination of data-driven customer segmentation enables our pricing algorithm to determine up-charges and discounts based on a client's booking lead-time and other event parameters.

Availability of other tracks

If your competitors are all fully booked, the pricing algorithm increases the rental rates due to the overall market availability - and vice versa: Rental rates can be reduced if many other circuits have available days.

Multi-day bookings

Customers typically request discounts for multi-day bookings and one tends to agree to them. But if you know there are not many options for the customer to find the same availability, you do not need to give discounts.

Booking Request Heat Map

You could have sold attractive dates 10x to customers but others don't sell at all? The pricing algorithm analyses your booking requests per calendar day and creates a "Request Heat Map" with dynamic pricing based on your booking history.

Weather conditions

Many customers prefer to hos their event in dry and cozy conditions. Historic weather data can be fed into your pricing model to increase the rate based on the likelyhood of favourable weather conditions.

Contact us to learn more about our data-driven methods