Do you have a competitor that always seems to have the perfect pricing strategy as the market shifts? Chances are, they're using dynamic pricing.
In essence, dynamic pricing (also known as surge pricing) means adjusting prices based on fluctuating market conditions, allowing businesses to make data-driven decisions rapidly. The airline industry and Amazon are prime examples of its effective application, with airfares and product prices being adjusted millions of times each day.
Given unpredictable supply and market demand, abundant price comparison data, and intricate product configurations, adopting a dynamic pricing model is vital for manufacturers. All these factors lead to significant financial opportunities, from enhanced profit margins to inventory optimization.
This article delves into dynamic pricing, highlighting its importance, differences from traditional methods, implementation challenges, and solutions.
Static pricing can cause manufacturers to lag behind their digitally-savvy competitors. These businesses are harnessing powerful dynamic pricing algorithms to analyze market data and pinpoint the optimal price for any product at a given time.
How frequently should manufacturers change prices? Like most things in business, it depends. A manufacturer with a long product life cycle and a small group of customers might only need to adjust pricing monthly. On the other hand, a business with diverse customers, highly configurable products, and an omnichannel sales strategy might want to change prices continuously. This requires appropriate software, as we’ll explore later.
First, let’s take a look at the most valuable categories of market data manufacturers can leverage
With a dynamic pricing model, manufacturers adjust prices on the fly. But what data is relevant, and how should it be factored into dynamic pricing decisions? Let’s explore the most vital, from the obvious to the unexpected.
Competitor Pricing
Understanding the nuances of competitive pricing is essential. Rivals with similar or substitute products provide a benchmark. By constantly monitoring their pricing strategies, you gain insights into market standards, buyer expectations, and potential pricing blind spots.
Supply Chain Costs
The volatility of raw material prices and logistics significantly impacts the cost of complex products. A sudden spike in fuel prices in response to geopolitical tensions, for example, can transform your cost base overnight. By staying ahead of these fluctuations, manufacturers can maintain desired profit margins and retain competitive prices.
Customer History
Customer purchase history and preferences are pivotal for dynamic and segmented pricing. By analyzing patterns in repeat purchases, their frequency, and the correlation between product choices, manufacturers can segment their customer base into different categories. Loyal customers, occasional buyers, and bargain hunters can all be targeted differently to maximize profits.
Demand
Predicting future customer demand is a blend of art and science. Historical data combined with predictive analytics can provide insights into potential market shifts. Awareness of seasonality, upcoming technological innovations, or general market trends can help manufacturers anticipate demand surges or declines, allowing them to price their products optimally.
Inventory Levels
Maintaining optimal inventory levels is a juggling act. High inventory might indicate overproduction or decreased demand, prompting a price reduction to boost sales. Conversely, low inventory, especially if paired with high demand, can be an opportunity to charge peak pricing.
Maintaining optimal Inventory levels will be of greatest concern for make-to-stock manufacturers who want to reduce holding costs. But it can impact engineer-to-order and make-to-order manufacturers, too, who don’t want surplus components gathering dust.
Customer Behavior Data
The digital age has made tracking customer behavior more accessible than ever. By analyzing metrics like website traffic, shopping cart abandonments, or even customer reviews, manufacturers can gauge interest, their price sensitivity, and the overall perceived value of their products. Adjusting prices based on these insights can enhance sales and customer satisfaction.
Product Lifecycle
A product's position in its lifecycle plays a pivotal role in its pricing strategy. New product launches might command premium pricing due to novelty, while older versions might need to be discounted to clear out stock or make way for newer models.
Manufacturers that implement dynamic pricing are hoping to achieve one thing over all else: to maximize profits. Variable pricing allows them to optimize margins, capture higher revenues in peak times, and sustain sales during slower periods.
But maximizing profit isn’t the only advantage. There are many other second-order benefits manufacturers experience when pricing changes intelligently–on the fly. Let’s look at some examples.
Enhanced Inventory Management: By adjusting prices based on demand, manufacturers can more effectively manage their inventory, reducing the risk of stock-outs during high demand or overstock during lulls.
Better Cash Flow: A dynamic pricing model can lead to steadier cash flows. By tweaking prices to match the ebb and flow of demand, manufacturers can ensure a more consistent revenue stream, which can be crucial for sustaining operations and planning future investments.
Deeper Market Insights: Implementing dynamic pricing means that manufacturers need to keep a close eye on market conditions. This can provide invaluable data on customer behavior, preferences, and purchasing patterns, helping businesses adapt and strategize better.
Competitive Edge: Real-time price change keeps manufacturers one step ahead of competitors. This flexibility allows them to seize market share and capitalize on opportunities fixed pricing strategies might miss.
Segmentation: Not all customers value products the same way. Dynamic pricing allows manufacturers to cater to different market segments, capturing a wider range of buyers and potentially increasing sales volume.
Promotions: Dynamic pricing enables the strategic rollout of discounts during periods of low demand to stimulate sales. Some manufacturers may offer discounts during peak demand, betting on the increased sales volume to offset the reduced profit per unit.
Enhanced Customer Experience: By offering products at a price that reflects real-time demand and value, customers may feel they are getting a fairer deal, especially if they purchase a product at a lower price.
Manufacturers employing engineer-to-order models are uniquely positioned to harness the benefits of dynamic pricing. As the demand for configurable products in manufacturing surges, the argument for dynamic pricing grows stronger.
One significant hurdle with configurable products is the complexity of price calculations. Given the myriad components, features, and unique engineering requirements of these products, determining an optimal price becomes too complex for sales reps. Dynamic pricing alleviates this challenge, automating the calculation process and ensuring accuracy.
Through dynamic pricing, engineer-to-order manufacturers can enhance the buying experience, offering timely discounts or promotions tailored to individual customer selections. By offering configurations at diverse price points, manufacturers appeal to audiences with varied price sensitivities, broadening their market presence.
As technology drives innovation, manufacturers must wisely choose their dynamic pricing technology. This decision will play a significant role in determining the efficacy, efficiency, and flexibility of their pricing strategy. For manufacturers handling complex configurable products, the choice of technological infrastructure is even more crucial.
With AI-driven pricing assistants, competitor monitoring tools, price list management databases, subscription billing software, and numerous custom-built dynamic pricing solutions, the market for this technology is vast. The good news is that there's a solution for all, from Amazon sellers to fashion retailers. The challenge, however, is navigating through it all.
If you sell complex configurable products, you likely manage multiple systems, from CRM to ERP and beyond. Instead of adding another complex tool, you need a unified solution covering the configure, price, and quote process, including dynamic pricing. You need CPQ.
CPQ software streamlines the configuration, price, and quote process for manufacturers of customizable products. Beyond allowing users to configure products with guaranteed accuracy and generating quotes in real-time, it dynamically calculates product prices based on all the factors we've delved into earlier.
Generating dynamic prices greatly enhances the performance of manufacturers who implement CPQ. On average, companies using Epicor CPQ experience the following benefits.
Dynamic pricing has its challenges. If not implemented well, it can upset customers, especially if they realize they've paid more for the same product than others.
For manufacturers selling big-ticket items configured to the needs of each customer, this is less of a concern. The inherent customization and personalization of these products means that each purchase is unique, and customers understand that prices may vary.
B2B customers are generally more concerned with getting the precise features and quality they desire rather than comparing prices. That’s not to say ensuring transparency and fairness isn’t crucial to maintaining long-term relationships. But there are other pressing concerns, as discussed below.
Legal and Regulatory Constraints
Dynamic pricing, while effective, needs to operate within legal boundaries. Different regions might have laws against practices like price gouging or stipulating minimum markups (think alcohol in the United States). Manufacturers must strike a careful balance between adjusting prices dynamically and remaining compliant. Leveraging software equipped with pricing rules and constraints to guarantee compliance is crucial.
Data Dependency
Dynamic pricing relies heavily on accurate, real-time data about market conditions, customer behavior, and other external factors such as competitor pricing. Ensuring a consistent flow of accurate data can pose challenges. One pivotal solution is integrating CPQ tools or other dynamic pricing platforms with your core systems. This prevents data from becoming siloed or outdated. Regular data audits are also crucial to maintain accuracy and relevance.
Competitive Response
If competitors aren't employing dynamic pricing, or if they're implementing it differently, there's potential for either entering a price war or being perceived as overly expensive. But remember, price is just one of many differentiators. Instead of a race to the bottom, prioritize product quality, variety, and an exceptional customer experience to warrant the prices you set.
Omnichannel Complexity
Selling on multiple platforms introduces dynamic pricing challenges. Advanced CPQ software offers a unified pricing source across channels (in person, online, through distributors, etc.), ensuring consistent, real-time pricing for all customer interactions.
Dynamic pricing presents new opportunities and challenges for manufacturers, especially those offering configurable products. By leveraging AI and automation to analyze market data and generate optimized real-time prices, manufacturers can maximize profits, enhance inventory management, and gain a competitive edge.
However, implementing dynamic pricing brings complexities, such as managing pricing across different sales channels, ensuring pricing fairness, and responding promptly to competitor prices. A strategic approach, supported by the right technology, is crucial. Investing in advanced CPQ, explicitly designed for configurable products, allows manufacturers to implement dynamic pricing at scale and sidestep common pitfalls.
What is dynamic pricing?
Dynamic pricing, often called surge pricing, is a strategy where businesses set flexible prices for products or services based on current market demand. Unlike fixed pricing, where prices remain constant, dynamic pricing adjusts in real-time. A dynamic pricing strategy keeps businesses agile in fluctuating markets, responds instantly to competitive threats, capitalizes on opportunities, and optimizes revenue management.
What is price discrimination?
Price discrimination is a pricing strategy where companies charge different prices to different segments of customers for the same or similar products/services. A dynamic pricing strategy is a kind of price discrimination. Generally, prices are higher during peak demand periods, for example, surge pricing by ride-sharing companies.
Some key types of price discrimination include:
Price elasticity–how sensitive customer demand is to changes in price–is central to pricing discrimination. Price elasticity must differ across market segments for firms to charge a higher price to one over another.
What are the advantages and disadvantages of dynamic pricing?
Dynamic pricing has pros and cons to consider:
Pros:
Cons:
Overall, a dynamic pricing model offers advantages in efficiency and maximizing revenue but risks customer alienation if implemented without clear communication. Customer alienation is less risky in B2B transactions, where buyers often expect more room for negotiation, especially with big-ticket purchases, long-term contracts, and bulk purchases.
What are some examples of dynamic pricing?
Dynamic price optimization is widespread across B2C and B2B environments. Airlines constantly tweak ticket prices based on various factors: demand, competition, and time to departure. Hotels adjust room rates, sports venues shift ticket prices, and utility companies modify tariffs using similar strategies.
In the B2B realm, cloud service providers and SaaS vendors tailor their pricing to usage, features, and user count. Similarly, logistics firms recalibrate their rates considering routes, fluctuating fuel prices, seasonal demands, and shipment densities.
What is the best dynamic pricing software?
Unfortunately, there’s no one-size-fits-all dynamic pricing tool. Solutions are designed to serve every industry, business size, user group, and pricing objective. Manufacturers frequently opt for CPQ (Configure, Price, Quote) tools that not only automate pricing but also streamline the configuration of complex products and generate quotes.