Given their job role and evolving shopper preferences, revenue managers are more susceptible to facing volatile markets,
In this blog, we will dive deep into:
Revenue managers are at the forefront of every consumer goods business. Their job is to understand shopper preferences and optimize products and their prices accordingly, all while aiming to maximize revenue.
These goals remain constant, but achieving them requires continuous adaption to evolving market conditions. Shoppers are more informed and demanding, while competition becomes fiercer. Preferences and means of selling goods and services change rapidly.
But the good news is that thanks to accelerating digitization, revenue managers have increasing data at their disposal to inform their decisions. However, without the right tools, information remains fragmented, and leveraging it is exceedingly difficult.
Interested? You can learn more about the revenue manager of tomorrow in our free whitepaper.
Revenue managers face more volatile markets and evolving shopper preferences.
According to Nielsen, consumers are also more diverse than ever in terms of “ethnicity, income, education, and rural-urban divide,” making the “average” shopper difficult to identify. Revenue managers must, therefore, stay up-to-date with market dynamics and respond quickly to relevant changes.
The following principles are key to success in an ever-more dynamic environment:
The tools revenue managers work with today cannot reflect these quickly evolving needs. Consequently, product and pricing decisions can be based on wrong assumptions or come too late amid strong market dynamism.
Revenue managers thus need a toolset that enables them to work efficiently, proactively, and holistically to gain a sustainable competitive advantage.
Figure 1: Consumer insights without Buynomics is a long and incoherent process
Analyzing shopper preferences and charging an appropriate price decides the revenues and profitability of any business. When addressing these topics, revenue managers often stick to approaches they have used for decades or rely on their industry expertise and experience. Consequently, changes in shopper preferences and developments in market dynamics might get overlooked.
At Buynomics' core is the Virtual Shopper AI, a behavioral machine learning algorithm that reflects general human behavior.
Behavioral effects are crucial in pricing and portfolio optimization. Buynomics creates a sample of Virtual Shoppers who behave just like their real counterparts. In over 10 A/B tests, Buynomics has proven to be >95% accurate in its forecasts. This allows revenue managers to optimize prices and product portfolios, including the competitors’ offers.
Figure 2: Buynomics provides an exact picture of consumer behavior
With its machine learning capabilities, Buynomics enables you to become tomorrow’s revenue manager thanks to three core benefits:
Figure 3: Profitability of different scenarios compared with Buynomics
Buynomics is a simple, intuitive SaaS-based solution that allows you to test out all scenarios, prices, and product variations imaginable on a virtual market in mere minutes and eliminates the risk of making wrong decisions in the real world.
Virtual Shopper AI combines readily available information into a bigger picture. It creates a sample of Virtual Shoppers who behave just like their real-life counterparts. Once set up, revenue managers can test out various prices and product feature combinations in real time, with no need for additional market and price research.
The risks and expenses of market studies and conjoint analyses are eliminated. With the solution's help, our clients could improve their annual revenue by 3-7%.
All of the above makes the Buynomics machine learning solution ideal for the revenue manager of tomorrow—for a business that is not only more dynamic but also more profitable.
Contact us to learn more about how Buynomics enables the revenue manager of tomorrow to succeed.