Winning Consumers with Dynamic Pricing for DTC Brands
In the last decade, with the growth of eCommerce, DTC or direct-to-consumer retail has gained momentum. Infact, today there are more than 400 DTC brands disrupting the retail model, offering a more personalized user experience, and winning customers and market share. It is only a matter of time before many large brands take this approach to maintain their margins, have a larger control over their brand authenticity, and offer better user experience to today’s highly demanding and informed shopper. Infact, since the onset of the pandemic we have already seen big brands like Nestle and Pepsico enter into the DTC space and experiment with different strategies.
Although DTC means more profit margins, it also comes with bigger marketing spends and the need to forge meaningful relationships with customers. Moreover, with eCommerce marketplaces like Amazon reviewing prices every 2 minutes, it means these DTC brands need to invest in smart, dynamic pricing solutions and competitive intelligence to survive and thrive in the age of the comparative shopper.
What is Dynamic Pricing?
Dynamic pricing is a strategy based on which retailers change the price of the product based on supply and demand.
In order to do this, you need a large amount of information. This includes the initial conditions and the prices that competitors are charging. In addition to that, customer information is also a vital input. Customer price perception also plays an important role since that’s what determines the profit margin that you’re getting.
In the old days, static prices were the norm, since there wasn’t much to be done when it came to doing research on how much a competitor priced their products and how you had to compete. But that’s changed now. The old strategy didn’t help retailers make profits. But today, with dynamic pricing, you can find that the profitability has been optimized to everything, even simple products like medicine and sports goods.
It’s Always Been Around
The idea of dynamic pricing isn’t new to the retail industry. It’s been something that organizations have done for a long time. It’s a tactic used to grab the customer’s attention and so far, it’s proven to be extremely successful.
Here are a few examples of how dynamic pricing has influenced different economies.
- The concept of “Happy hours” in a bar worked in attracting customers when they weren’t expected at all. Of course, the prices on drinks were slashed, but this attracted a lot of customers, which increased the amount of business that the establishment did during that time. This increased their profits for that time. It proved to be so effective that most bars and pubs adopted it as well.
- The stock market operates on the basis of shared values rising and falling. Similar to the concept of dynamic pricing, the value of shares is calculated by considering initial conditions, demand, and a few other parameters. This includes the company’s actions and the state of the economy. So, the prices are adjusted to make the most of the current situation.
- Take airline ticket prices, you can see that they operate along the same line. During the weekends and Fridays, you’ll see that prices are higher than on regular weekdays since they know that more people are inclined to travel during those times.
It seems natural to make profits by controlling prices based on demand. However subtle, the same ideology has been followed across several business streams.
What’s Changed Now?
Dynamic pricing is only possible when you have all data on hand. Another important aspect is running the data using a custom algorithm that suits your particular business model. You’ll find quantifiable results only when you take all variables into account and bring out accurate pricing.
You might be wondering. If all this was thought of and implemented all along, what took online DTC retailers so long?
Factors that made dynamic pricing possible are computers and new technologies that recently came into existence. The concept of collecting, storing, and analyzing data paved the way to bigger things, dynamic pricing is one of them.
DTC Brands’ Hesitation
The algorithms in place are fed with all the available data on hand. These are details that concern the product and customers. The resultant price will determine the profit or loss that is collected on the product.
A foolproof algorithm can give you accurate answers. However, not all retailers are using these results. You have to understand that changing prices like this is a huge risk to take as well, and that’s something not everyone is comfortable with. A slight drop or rise in the cost of the product will affect the economy and the possibility of success.
This algorithm is simply used by the retailers and DTC brands. Why they hesitate is because they don’t understand how it works. That’s the case even after the competitor’s prices are taken into account. That’s why not every retailer takes dynamic pricing into account. Although, with the growing competition and the increasingly price-sensitive shoppers, this pricing model is slowly becoming a must-have.
Amazon has had tremendous success in applying dynamic pricing to their products. Other retailers are still attempting to beat Amazon in this field. This is the single reason Amazon is doing better than its competition. They’ve managed to price their commodities lower than others.
Dynamic pricing, coupled with its good user interface and customer services, Amazon has managed to stand at the top. This was only possible with proper synchronization of eCommerce, omnichannel, and brick and mortar stores.
Dynamic pricing is a five-stage module. It needs to be gradual so you don’t lose money. These are stages where the price of the commodity is decided based on different factors.
- The first stage is the long-tail module. It is the price that is determined at the launch of the product. It plays a crucial role in the success or the failure of the product. Essentially, the price is based on base price, price of similar commodities, and set profit margins. The success depends on the product itself and its reach, done through marketing.
- The second stage is where the price is increased or decreased based on demand. Both can affect profits negatively or positively. By reducing price, there may be ultimately more buyers. At the same time, if received well, consumers may be prepared to pay more for the same product.
- The third stage of dynamic pricing is the key-value identity module. This depends on the consumer’s price perception. This largely influences sales. Here, a product will sell if the prices are below the competitor’s prices. This is the stage where a customer is either gained or lost and is of utmost importance to DTC brands. The KVI and the price need to be on the mark.
- The fourth stage is the competitive response module. Here, price adjustments are done based on the pricing scheme of competitors. By selling at a price lower than competitors, you increase the chances that the customer will buy from you.
- The fifth stage is the Omnichannel Module which requires a thorough analysis of all the channels that you’re doing business in. In this final stage, online and offline channels are coordinated and synchronized for a more uniform consumer experience. It also helps normalize the price and keep dynamic pricing at a feasible value. Omnichannel module brings the best of online and offline channels together and is essential for the long-term growth and success of a DTC business model.
How Customers Make A Decision
When a person finds a product on sale, that’s something that tells them that they should be ready to make a purchase. The person must have previously browsed through several products. This information is collected and dynamic pricing is applied to other similar products. This is the result of the algorithms and dynamic pricing.
When the customer finds the desired product at a discounted price, it’s natural for them to make a purchase. This naturally increases the sales that you generate.
Challenges With Dynamic Pricing
Although dynamic pricing is useful, there are some challenges that brands need to apprise themselves with before implementing this approach:
- With the same products available at two different prices, a majority of customers will migrate to the store where the price is lower. Thus, the winning party will increase its sales. This leaves an imbalance in the market. This will go on until the next best price comes along.
- A split economy where two different prices exist isn’t going to see any growth unless it’s uniform.
- A system that’s dynamic can result in discrimination. You can’t have two prices on a single commodity for two different customers. But that’s ultimately the case here.
- The focus on KVI will leave other commodities at a disadvantage. With the decrease in demand for non-KVI products, the customer will be benefitted. However, retailers will experience a loss.
- Similarly, retailers who have goods at higher prices in physical stores and lower in online stores also run a risk, since that persuades customers to buy from the online store and not the physical.
Dynamic or personalized pricing using sophisticated AI-driven algorithms is a great way to ensure you stay ahead in the race to eCommerce supremacy while maintaining margins and increasing profitability. With the right rules in place, dynamic pricing can enable DTC brands and retailers to offer the most competitive prices at all times and convert shoppers into buyers without resorting to deep discounting.