Villa Plus became members during our first year as RMAPI, and during this time they have been evolving their Revenue Management system, and have presented to us previously as their journey has progressed.  Katia will take us through the history of Revenue Management Develpment at Villa Plus and how it has progressed towards todays revenue management best practices and optimisation.  The presentation will extend to an explanation their  process of Product Segmentation and the associated challenges and  benefits.

Many of our members faced enormous challenges during the pandemic, but now that we are post pandemic, is Revenue Management back to Business as usual, or are we doing things differently now?

We would like to run a Panel Discussion to explore these questions. If you have a particuar theme in these areas you would like to include or discuss, or if you would be interested in joining the panel, please let us know.

If you understand why people buy, you are already one step ahead in reaching out to them effectively with your products and services. Phil Barden's book, 'Decoded: The Science Behind Why We Buy' offers a groundbreaking exploration into the science of purchasing.

Phil Barden presented to us a few years ago and has just released an updated edition of his book. He will be taking us through some of the new insights, techniques and examples that marketers can apply.

Revenue Management evolved in industries characterized by fixed capacity which also represents a very high proportion of fixed cost. Capacity is typically consumed by very different products, at very different margins, so the RM challenge is to achieve the most profitable mix of bookings that fits on a network of perishable but scarce capacity.

Conventional RM focused largely on ‘internal’ competition and explicit modelling of competitor behaviour was not an early priority.

Pieter will explore a few approaches to incorporate competitor prices in RM Systems, considering how they challenge the concept of optimality. He will discuss pros and cons and touch on data requirements and some practical challenges.

Pricing efforts are often focused on optimisation. Typical examples include getting forecasting right, or building intricate models for price setting. However, Lucas will explain how enhancing your general pricing capabilities, might yield much better results over time.