Dynamic Pricing: The Ultimate Guide
Table of Contents
1 | What Is Dynamic Pricing?
2 | Dynamic Pricing Types and Real-World Examples
3 | Pros & Cons of Dynamic Pricing
4 | Dynamic Pricing and Other Strategies
5 | Preparing a Dynamic Pricing Strategy
6 | Unlock Dynamic Pricing With Software
7 | How To Elevate Your Dynamic Pricing Strategy
Unlock More With Dynamic Pricing
Surge pricing, time-based pricing, demand-based pricing. These strategies all refer to the same pricing strategy: dynamic pricing. Whatever flavor of dynamic pricing, each has the same goal: adjust prices quickly to capture profits just as fast. The global market is changing, with more and more consumers migrating online to make their purchases. With that change comes an opportunity to tap into a wealth of data insights we didn’t previously have access to. Such is the beauty of dynamic pricing.
At Pricefx, we’ve supported B2B and B2C companies implement their pricing strategies, from cost-plus all the way to dynamic pricing, with the help of our pricing software solutions. We understand the importance of ensuring a company’s pricing strategy keeps pace with an evolving market and consumer landscape – and dynamic pricing is an effective way to do that.
In this complete guide, we’ll delve into everything you’ll need to know about what dynamic pricing is and how it works, including types and real-world examples, before offering some of our expert tips for building and implementing a dynamic pricing strategy of your own.
What is Dynamic Pricing?
Dynamic pricing is the pricing strategy of rapidly adjusting prices for products or services based on what's happening in the market right now. Depending on the approach, dynamic pricing can go by other names, including time-based pricing, surge pricing, and demand pricing.
As the name suggests, dynamic pricing enables businesses to price flexibly and in real time in response to shifting consumer preferences and market conditions. Companies in several industries use dynamic pricing to capture more profitable margins in transactions, drive sales, manage inventory levels, and other goals.
The strategy is appropriate for companies, particularly in e-commerce, that require quick reactivity to several fluctuating factors in their pricing. These include those in the tourism, retail, hospitality, entertainment and increasingly in B2B industries.
How Does Dynamic Pricing Work?
Dynamic pricing is driven by data-driven algorithms from machine learning (ML) and other AI technologies. These algorithms run through massive amounts of historical sales and market data to detect meaningful patterns and set optimal prices for products or services in real time. Here are some common factors considered in dynamic pricing algorithms:
- Supply and demand dynamics
- Competitor pricing
- Market trends
- Time and seasonality
The underlying science of dynamic pricing strategies can vary widely. Some are driven by black-box systems like neural networks, while others are driven by other machine learning algorithms or statistical techniques. Whatever the method, dynamic pricing should ultimately facilitate quick price adjustments in response to a diverse set of consumer, market, and competitive factors.
DYNAMIC PRICING TYPES
Segmented Pricing
Time-Based Pricing
Peak Pricing
Penetration Pricing
Personalized Pricing
Location-Based Pricing
Event-Based Pricing
Price Discrimination
Segmented pricing is a pricing strategy based on offering different prices for the same product or service to different customer segments. Employed in all industries, segmented pricing is used to cater to different preferences and willingness to pay – and maximize revenue while doing it.
For example, airlines charge higher prices for business class seats because some people don’t mind paying more for the perks, while others are fine with lower-priced coach seats. Additionally, movie theaters use segmented pricing by default, with tickets for the same movie priced differently for adults, seniors, children, and students. Another example comes from sports stadiums. Segmented pricing is the reason those nosebleed seats are the most affordable and the box seats are out of reach for most.
Segmented pricing isn’t just about pricing for different customer groups; to accommodate local economic conditions and willingness to pay, companies adjust prices for the same products depending on the region. Ever notice how the cost of Netflix subscriptions varies by geographic location?
Time-based pricing is a pricing strategy that sets prices in line with varying levels of consumer demand throughout the day or year.
This strategy is often used in industries that are significantly reliant on time and seasonality for profitability, such as the hospitality, airline, and transportation services sectors.
Adjusting prices according to consumer buying trends throughout the day, week, or year, time-based pricing taps into buying impulses and creates a sense of urgency that drives sales. From Friday night surcharges on rideshares to premium prices for plane tickets during holiday periods, time-based pricing propels customers to buy now, not later, to get the best deal.
Peak pricing, or surge pricing, is a strategy that pushes prices up in times of high levels of consumer demand, used to manage fluctuating supply and demand levels profitably. Think of premium pricing in rush hours, traveling between the months of May and August, or when a major sports event comes to town. On the other hand, when demand is at an all-time low, prices will also be at their lowest.
In times of low supply and high demand – for example, when hotels are nearly booked for a popular concert, but scores of people still need rooms – companies use peak pricing to capitalize on the situation and offer their services amidst limited options at peak prices.
Common examples of peak pricing come from the ridesharing giant Uber, the hotel industry, and most commercial airline companies.
Penetration pricing is a dynamic pricing strategy used to quickly gain market share for a new product by offering a lower price at the beginning, which entices customers while effectively pricing out other competitors, and then raising that price gradually. Penetration pricing is a dynamic pricing strategy insofar as it treats price as flexible in order to meet market conditions and stay competitive.
Netflix built up a loyal consumer base with its low subscription costs, in turn disrupting and eventually dominating the streaming market. The strategy is also commonly used across B2B industries, such as the chemical sector for specialty chemicals to incentivize buyers, or in technology manufacturing (for example, Huawei’s strategy for penetrating the European market involved offering its phones at highly discounted rates).
Penetration pricing, or starting at low prices first, is useful when there is either little product differentiation, demand for your products is highly price-dependent, or when your products cater to a mass market.
Personalized pricing involves tailoring prices for each customer based on their location, historical buying behavior, and demographic information. In other words, companies take note of how a consumer engages with their products and how much they’re willing to pay for them to offer customized prices.
To illustrate, consider a car dealership. A salesperson might observe how a customer dresses, what they do for a living or where they live, or what kind of car they’ve driven previously, to gauge the price this customer would be comfortable paying for their next car.
This approach can also be employed in other industries, like e-commerce, and might take the form of offering tailored discounts or coupons to certain customers. An e-commerce platform might share promotional offers for select products to customer groups that have previously shown interest in them, or propose bundled deals for combinations of frequently purchased products, with the aim of optimizing sales and revenue.
A location-based pricing, or geographical pricing, is a strategy that considers customer location to adjust prices based on differences in factors like willingness to pay or economic conditions across regions.
Location-based pricing is used to some degree in most industries. For example, a subscription service like Netflix charges different monthly or annual rates based on the customer's IP address. Similarly, electronics manufacturers such as Apple might adjust the prices of their MacBooks and iPhones according to factors like average willingness to pay, demand, and local regulatory requirements.
Some location-based strategies can consider what neighborhood or even street corner that customers are in to calculate prices – take most ridesharing apps today, where simply crossing the street for pick up might save a few dollars.
Event-based pricing is a dynamic pricing strategy that involves adjusting prices depending on the events at the time, such as major holidays, festivals, concerts or sports championships, and even weather conditions.
This strategy is often used in the travel industries to price based on fluctuating demand. Hotels and airlines increase their rates during peak travel seasons between May and August, and conversely, offer their lowest rates in off-peak periods. Additionally, they take note of events throughout the year and adjust prices for their services when a popular sports event, performer or conference comes to town.
Price discrimination is a pricing strategy that involves setting different prices on the same product for different sales channels or customer segments. It exists in three forms, or degrees:
- First-degree price discrimination: This strategy involves setting a maximum price based on the specific channel of customer group.
- Second-degree price discrimination: Here, price is based on the quantity. The more product purchased, the lower the price per unit, encouraging customers to buy more.
- Third-degree price discrimination: For this strategy, prices are based on an individual consumer’s characteristics, such as age, student or non-student status, or gender, with the purpose of attracting specific customer groups.
Remember, because price discrimination should benefit consumers, not put them at an unfair disadvantage, make that your price discrimination strategy is designed to reflect this.
Real-World Examples of Dynamic Pricing
Now, how is dynamic pricing used in the real world? Let’s consider two highly profiled examples: Amazon and Ticketmaster.
Amazon: A Global Leader in Dynamic Pricing for E-Commerce
Amazon, the global e-commerce giant, is perhaps the most visible example of dynamic pricing through its continuous pursuit of competitive pricing. Its dynamic pricing mechanism, which is often known simply as “repricing,” involves rapidly adjusting prices for its 400+ million products to align with demand levels and customer behavior.
While the exact mechanics underlying the company’s dynamic pricing algorithm are a well-kept secret, here are some general factors that contribute to Amazon's dynamic pricing approach:
- Demand: Amazon gauges market demand for products by considering factors like seasonality, trends, and consumer motivations (such as an outright need vs. status).
- Supply: Its algorithms also consider stock levels for a particular product. Products with low availability but high demand are priced higher to manage inventory, while products with high availability but low demand typically come at a cheaper price to incentivize sales.
- Browsing History: Leveraging user data, Amazon also tracks how their customers interact with their products and tailor prices based on factors like frequency of page visits and interest in related products.
- Day and Time of Purchase: Certain days or times yield higher purchasing activity, which can prompt Amazon to adjust prices to entice customers to buy.
While your company may not be as big as Amazon, your business can apply similar rules in its own dynamic pricing strategy to lock in profitability and maintain a competitive edge.
Ticketmaster: Dynamic Pricing for the Live Entertainment Industry
Ticketmaster, the world’s leading live events ticketing company, is another prominent case of dynamic pricing that made headlines for its approach to pricing concerts for popular performers like Taylor Swift and Harry Styles.
https://www.youtube.com/watch?v=mly_b1uoMoM&t=13s
While the company doesn’t delve into the specifics of its strategy beyond supply and demand, due to how dynamic pricing in entertainment typically works, these are a few factors Ticketmaster has likely considered in its dynamic pricing algorithm.
Pros & Cons of Dynamic Pricing
PROS
OF DYNAMIC PRICING
- Dynamic pricing allows companies to set prices in real time based on what’s important to them.
- It leads to growth in profits and sales: McKinsey reports that businesses with a dynamic-pricing solution typically see 2-5% growth in sales and a 5-10% margin boost.
- It has the potential to save money in long term because it enables efficient inventory management and resource planning.
- It promotes a greater understanding of market trends and consumer behavior, enabling prices in line with a rapidly evolving world.
- It allows for precise price calculations – no matter how much or how quickly companies grow – through its data-driven approach.
CONS
OF DYNAMIC PRICING
- Dynamic pricing doesn’t always sit well with customers, who appreciate stability and a sense of control over pricing. Without alternatives, they can feel taken advantage of by companies.
- It doesn’t make sense in every industry. Those where prices in contracts are valid for extensive periods or have little flexibility in dictating prices may not benefit.
- Without the right guardrails, it risks a price war between competitors that could lead to prices higher than what’s reasonable for most customers.
Dynamic Pricing and Other Strategies
Dynamic Pricing vs. Non-Dynamic Pricing
Dynamic Pricing vs. Price Discrimination
Dynamic Pricing vs. Price Optimization
Dynamic and non-dynamic pricing strategies (e.g., fixed pricing) are two largely opposing approaches for setting prices. While fixed pricing involves setting static, unchanging prices, dynamic pricing involves rapidly adjusting prices based on current market conditions, such as supply and demand and competitive pricing.
When to Use Dynamic Pricing or Fixed Pricing
Fixed pricing is typically used for transactions like bulk ordering or for one-time, time-dependent payments. Dynamic pricing, on the other hand, is useful in industries where external conditions are unstable, allowing businesses to optimize revenue by adapting prices in real-time to match them.
Dynamic pricing and fixed pricing also provide distinct benefits. Fixed pricing provides transparency for customers into pricing due to its stable nature, but on the other hand, limits flexibility for businesses to adjust prices response to market conditions. Dynamic pricing, while beneficial due to its agility, risks alienating customers due to frequent price fluctuations.
It is worth noting that often, the businesses that could benefit greatly from dynamic pricing but still opt for fixed pricing are ones that currently lack the tools to approach their pricing strategies differently.
You may have heard dynamic pricing and price discrimination used interchangeably, but they’re not quite the same thing.
What Is Price Discrimination?
Price discrimination involves charging different prices for the same product to different customer groups based on their demographics, purchasing behavior, or location. Essentially, this strategy aims to tailor prices to extract maximum value across customer groups by offering them different prices.
On the other hand, dynamic pricing involves adjusting prices in real time based on supply and demand dynamics or competitive pricing.
How Are Price Discrimination and Dynamic Pricing Different?
So, are price discrimination and dynamic pricing really that different, then?
Both strategies aim to optimize profitability by optimizing pricing but through different means. Unlike price discrimination, dynamic pricing doesn't necessarily involve charging different prices to different customer segments. Its focus is on adjusting prices quickly to keep up with current market conditions. Conversely, price discrimination occurs, then, when prices vary across individuals, but not necessarily rapidly over time.
Now, what’s the difference between dynamic pricing and price optimization? Both terms are thrown around when describing companies using software to implement dynamic pricing. However, while intrinsically connected, they do refer to different methods.
What is Price Optimization?
Price optimization is the concept of using data-driven methods, such as analytics and AI algorithms, to set ideal prices for maximum profitability and competitiveness, rather than maintain static or one-size-fits-all pricing.
How Are Dynamic Pricing and Price Optimization Different?
Approach: Price optimization tends to be more internal-facing and focused on analyzing data, while dynamic pricing is concerned with the latest customer behaviors and external factors like market trends.
Complexity: Dynamic pricing generally requires vast amounts of data and real-time analysis capabilities, making it more complex than price optimization, which can be easier to implement if less data is needed.
Frequency of Price Changes: Dynamic pricing implies frequent price adjustments based on real-time data. Price optimization, on the other hand, can involve less frequent price adjustments depending on the strategy and industry.
Industry: Historically, dynamic pricing has been used more in B2C industries like e-commerce, ride sharing services, airlines, and hospitality, while price optimization has been the ideal choice for B2B companies. However, many established B2B companies have benefited from dynamic pricing, especially as markets become more complex and fast paced.
How to Create a Dynamic Pricing Strategy
By following these steps, you'll be well on your way to building a dynamic pricing model that keeps your business competitive and maximizes profits in the long term. And if you’re not seeing the results you need? Time to rise and repeat these steps!
Ready to optimize your pricing strategy? Pricing software is your go-to tool for building dynamic pricing models that are both efficient and accurate, ultimately taking your pricing strategy to the next level. Before diving in, here's our user-friendly guide to building your dynamic pricing model with the help of pricing software.
Six Steps for Building a Dynamic Pricing Strategy
Find Your Perfect Fit
Selecting the right software is key to ensuring your dynamic pricing implementation goes smoothly and is tailored to your requirements. Explore different pricing software options to find one that matches your business needs and integrates well with your systems.
Get Your Data Together
Any dynamic pricing strategy requires good data – and lots of it. Prepare by gathering the historical sales and other pricing data the engine needs to learn from and drive smarter pricing decisions in the future. Afterwards, make sure that data is clean, consistently labeled and with a single source of truth.
Identify Key Factors
Single out the factors that should play a key role in your pricing strategy, such as customer demand, competitor pricing, seasonality, or inventory levels, to establish the underlying foundation driving your dynamic pricing strategy.
Enter Your Data
Now, input the data you identified in earlier steps into your pricing software, which will then be used to build your pricing model.
Fine-Tune Your Model
Experiment with different formulas and algorithms, and, if available, use A/B testing to determine what works best. You can continue to refine your model with experimentations like pricing strategy impact simulations, which can run multiple strategies simultaneously to reveal the best choice.
Put It into Action
Once you’ve landed on a dynamic strategy that suits your needs, it’s implementation time. Your software should now automatically adjust prices in based on changes in demand, competitor pricing, and inventory levels – whatever you’ve identified as important. So, sit back to watch your margins thank you in real time.
Preparing for Your Dynamic Pricing Plan
You've now set up your dynamic pricing strategy in your data-driven solution – congrats! Before you go full steam ahead, though, there are still a few more action items you'll want your company to check off to effectively prepare for dynamic pricing. Here are our top six.
Six Tips for Preparing for Dynamic Pricing
Prepare Your Team
Get your staff excited about the transition to dynamic pricing by providing thorough training on a data-driven approach to pricing, which will no doubt feel brand new for many of them. Doing so early on will foster a culture of data-driven decision-making and ensure everyone understands the benefits of dynamic pricing for the organization's success.
Assess Your Current Pricing Setup
Take a good look at how you currently handle pricing decisions and technology tools to figure out what's working well and what needs a bit of improvement. If your dynamic pricing strategy is complex, it’s likely be time to swap out manual tools for something more robust that can effectively take on bigger pricing initiatives.
Define Clear Goals
Figure out what you want to achieve with dynamic pricing – and it should be more specific than “profit.” Whether it's boosting revenue, expanding market share, or enhancing customer satisfaction, your company should have clarity on its benchmarks for success to align its dynamic pricing strategy with overall business objectives.
Invest in Data-Driven Tools
Dynamic pricing requires the real-time agility that data-driven automated pricing software provide. Pricing solutions can automatically collect and analyze market data to feed dynamic prices, streamline pricing tasks with automation, and empower teams to make more informed, data-backed decisions.
Monitor and Continuously Improve
No dynamic pricing strategy is perfect, and without tools to monitor its success, you won’t know how effective yours is, either. Use pricing solutions regularly to monitor the impact of your strategy across your customer base and within the market at large. Take these insights and adjust your strategy as needed to ensure it accomplishes what it’s supposed to in the long term.
Mix Up Your Strategies
While dynamic pricing has plenty of merit on its own, it’s just one of many strategies your company can benefit from to achieve its goals. From taking a value-based approach to conducting competitive analysis, continue to test out other strategies to supplement your dynamic pricing strategy to determine what combination works best for you.
Unlock Dynamic Pricing With Software
With the basics of dynamic pricing under your belt, you might now be wondering how to effectively implement dynamic pricing strategies to achieve the best results for your specific objectives.
As you’ve seen, dynamic pricing stands out as one of the most complex strategies out there, typically requiring much more data than other strategies, seamless access to the latest competitive data and supply and demand dynamics (among other factors), and a powerful pricing engine to make sense of it all.
A data-driven solution is the only feasible choice for effectively managing all of these moving parts, bringing in advanced methods like machine learning AI-driven price optimization, analytics, pricing strategy impact simulations, and more.
To learn about Pricefx’s AI and analytics capabilities and how they can drive your pricing strategy forward, don't miss out on our Pricefx AI Optimization page and our guide to price analytics software.
Or to delve deeper into the mechanics underlying dynamic pricing, consider exploring our articles on machine learning vs. AI or neural networks for pricing.
And if you’re going to be using a software solution for your dynamic pricing, you’ll need to prepare your data well to ensure that it’s used effectively. To help, head over to our guide on how to get your data ready for implementation success.
Finally, if you think we may be the right fit to support your company in its dynamic pricing journey, then head straight to an expert to discuss how we can work on implementing your strategy for the best results.
Discover How to Elevate Your Dynamic Pricing Strategy With Pricefx
When it comes to dynamic pricing, the plan is just as important as the tool. Discover how our pricing software enables you to test and refine your pricing strategies, support decision-making with data-driven insights, and ultimately, build margins and capture profits in the long term.
To get in touch with our experts, click on the button below, where you’ll be prompted to fill out a short form. Once done, you should hear from one of our representatives within 48 hours to set up a meeting. There you’ll discuss your challenges and needs with us to determine whether we’re the right fit for you.