Dynamic pricing is the practice of having multiple price points based on several factors, such as customer segments, peak times of service and time-based consumption that allow the company is applying dynamic pricing to expand its revenue generation. Thus, wherein a static or fixed pricing a company applies the same price level to any customer and market condition, in a dynamic pricing strategy a company applies several prices based on a few critical factors for the business.
- When price tags didn’t even exist
- What is dynamic pricing?
- Is dynamic pricing legal?
- Technological changes are enabling dynamic pricing
- How can you apply dynamic pricing to your business?
- Other dynamic pricing examples
Today we go to any store find a price tag and assume that is the value of that item we’re purchasing. There’s no question asked, neither interaction in many cases with the clerk. Yet there was a time when price tags didn’t exist.
Finding the origin of things is always hard. Before the 19th-century price tags didn’t exist. In other words, before buying anything you needed to bargain and haggle with the clerk to finalize the purchase.
When price tags got introduced, they did represent an incredible innovation. Indeed, stores could finally manage more inventories with fewer clerks. That’s because clients needed to walk to the clerk ask for price and after haggling, a bit agree on the purchase.
This might have been time-consuming in terms of the clerks required to manage the inventory“>inventories, the training needed to have clerks know the price ranges, and what was allowed. And the time it could take to customers to bargain the price.
As price tags have become the norm, where the same prices are applied to anyone, we find it odd when on the web the same thing changes in price. In many cases, we look for a flight ticket, which price is different, an item on a popular e-commerce platform that according to where and when we browse shows us a slightly different price.
This makes us wonder whether the era of price tags is over in favor of what is called dynamic pricing. Also, many dynamic pricing strategies are already used in many of the products or services you might buy. It’s just that you don’t realize that.
What is dynamic pricing?
Dynamic pricing is the practice where prices for goods or services change based on several factors. Think of the case in which there is a surge in demand for a service (Uber for example), and the price of it rises accordingly.
Therefore, there are certain times of the day or certain periods where the same service or item can be sold for more. Also, at a certain interval of time, the demand for a service might be higher. Think of the case of more people trying to purchase a ticket for a concert which might drive price up.
Is dynamic pricing legal?
As fixed prices have become the norm after the 19th century, people often wonder whether dynamic pricing is legal. Yet it is when price discrimination depends on economic factors that are affected by demand and offer. In other cases, if price discrimination might be based on gender, race or religion that becomes illegal.
Technological changes are enabling dynamic pricing
Think of the case in which you enter a store to purchase a coffee an pay $2. Yet a person enters the same coffee shop and purchase the same coffee for $1. Would you feel good about it? Chances are you’d feel ripped and perceive the so-called dynamic pricing as a fraud.
Think of a different scenario. You’re purchasing an item on e-commerce, that item price is set according to several factors. The algorithm that drives the offering on the e-commerce platform has quite some data about your behavior, spending habit, it knows your location, and it knows the time of purchase.
Based on all those variables it determines the price of the good you’re buying. You would perceive it as all done algorithmically and automatically by a machine, which is not thinking. You might perceive it as technological advancement.
Besides, if you don’t feel like to buy, you can see quite the e-commerce and get back when and if prices are lower. The fact that technology nowadays allows platforms to embed algorithms makes it easy for those companies to leverage dynamic prices and makes it easier for consumers to accept this practice.
If you’re evaluating dynamic pricing for your business, then it makes sense to understand whether your business model might be better off with this approach. For instance, do you serve several segments that have entirely different budget levels?
Think of a company that serves both consumers or business clients. The former will have a budget that is way lower compared to the latter. In that case, you can achieve higher revenue by simply repackaging your product or service in a different format.
Therefore, for the customer segment with the highest budget, it might make sense to have your service at a certain time of the day. Thus the price for that segment will be higher. In other cases, your product or service might have peaked.
Think of the case of more people consuming electricity at a certain time of the day. Based on simple demand and offer electricity will cost more. Think also of a coffee shop for which customers purchasing from the early hours of the morning are willing to pay more. You can create a fast track that makes the price higher for those customers.
Think also of the case of e-commerce that does business around the world. In certain countries (like the US and Canada) the value of the service is higher and the spending ability as well. Therefore, based on the IP of the user accessing your store prices will change to reflect local spending habits.
- peak or surge pricing: based on peak hours or periods where the service gets charged more
- segmented pricing: based on the spending ability of some customers compared to others
- changing conditions: applied for instance when sales start to slow down due to macroeconomic factors, to keep up with the trend and adjust them upward again when the market gets better
- time-based pricing: offer faster service for a higher charge
- penetration pricing: lower the price of service as a sort of marketing expense to penetrate a market
Other dynamic pricing examples
In the current online e-commerce industry, there are many examples of dynamic pricing. Indeed, as most of the interactions happen without a salesperson in the way of finalizing the transactions, digital platforms experiment as much as possible with pricing dynamics that match users’ journeys with the final product price.
Let’s see some of them.
Booking.com dynamic pricing
The travel and tourism industry is we
One example is the Booking’s Occupancy Based Pricing. As Booking explains:
Occupancy Based Pricing allows you to maximize the occupation rate of your more spacious (but, usually harder to book) and most valuable rooms by offering a tailored price depending on the number of people staying in each room.
The occupancy-based pricing works in this way. If perhaps a room can fit up to 4 people, instead of offering a single option, for 4 people, the property owner can offer the room for groups of 3, 2, or even to a single guest. Each group will have different pricing.
Booking shows this simple example:
- Price for 4 people = 100$
Example with Occupancy Based Pricing, for a Quadruple Room:
- Price for 4 people: 100$
- Price for 3 people: 90$
- Price for 2 people: 80$
- Price for 1 person: 60$
This enables the owner to fill the room more easily while matching the proper price with the potential customer need.
Kindle price chance tracked by Keepa
The price chance will depend on multiple factors, including seasons, the ability of third-party sellers to run their own campaigns on the platform, and Amazon‘s experimentation with pricing to enable more convenience compared to retail prices.
Airbnb smart pricing
When you have Smart Pricing turned on, your pricing suggestions reflect the controls you’ve set, combined with a lot of data. In fact, Smart Pricing takes into account over 70 different factors that could change your price.
What are some of the factors taken into account? As Airbnb points out, some of those factors might comprise:
- Lead-time or how close is the booking to the check-in date.
- Market popularity or how many people are looking for the same home (of course, the price will go up for more popular locations).
- Seasonality, as the high season comes close the prices will go up.
- Listing popularity or the pricing increase as the listing gets more and more views.
- Listing details or the more amenities you add to the listing the more the price might increase or vary.
- Bookings history or when the host closes higher bookings rates compared to what the algorithm suggested, the pricing will adjust to that new pricing, so enable the host to earn more.
- Review history or as the listing gets more positive reviews the price will adjust upward, based on those reviews.
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