Showing posts with label dynamic pricing. Show all posts
Showing posts with label dynamic pricing. Show all posts

Friday, 16 May 2014

Five dynamic pricing issues retailers should consider

by Patricio Robles 25 January 2013 14:01     Source Ref Econcultancy Blog
Blogger Ref Link http://www.p2pfoundation.net/Transfinancial_Economics
From social media sentiment analysis to digital ad buying, faster is increasingly seen as better, or at least necessary.
So it's no surprise that the ability to generate lots of data and analyze it rapidly is changing the way products and services are sold.
Last year, Orbitz raised eyebrows when it was revealed that the online travel site rearranges the order of hotel search results, displaying more expensive lodging options to users it had reason to believe, based on data analysis, were more likely to be willing to pay a premium.
In the retail space, a similar data-driven approach to product pricing is increasingly being employed. Amazon is perhaps the best and most widely-known user of dynamic pricing, where the prices of products changes regularly over short intervals, if not in real-time. But as detailed by AdAge's Kate Kaye, Amazon is hardly alone. Other retailers are jumping on the dynamic pricing bandwagon too.
That could be a good thing. By analyzing competitor pricing data on an ongoing basis and using it to adjust their own prices, retailers can, in theory, optimize sales. And, as Kaye points out, dynamic pricing can be a tool for fighting showrooming.
But dynamic pricing isn't without risks. Here are five things retailers should consider when evaluating whether to employ it, and how much to employ it.

1. Customer perception

Many consumers aren't aware of the fact that retailers alter prices on a regular basis, and did so even before the advent of online retail, but as it becomes more noticeable thanks to the web, retailers must consider the perception issues it raises.
Put simply, a customer who observes that a product can become cheaper or more expensive within minutes may not be thrilled at the prospect that they could end up paying more for a product based on little more than, say, the time of day.
Particularly worrisome is the possibility that some users will notice dynamic pricing, but won't quite understand what's going on, resulting in a reduction of trust.

2. Data accuracy

Dynamic pricing depends on data, and when pricing is being changed on the order of hours or even minutes, ensuring that the data driving pricing decisions is accurate is critical. While there's a growing ecosystem of data providers and the techniques by which data is collected and filtered are sure to improve, retailers shouldn't assume that bad data won't make it into their systems.

3. Algorithm mishaps

Wall Street and the phenomenon of flash crashes reminds us that algorithms are far from perfect and can produce costly errors. As retailers embrace dynamic pricing models which are of course based on algorithms, thought should be given to how mishaps can be minimized and what policies will govern when a mishap results in a big mistake (eg. customers being able to purchase a product at a ridiculously low price).

4. Altered customer behavior

As the existence of dynamic pricing becomes more evident to consumers, retailers will need to grapple with the possibility that it could impact customer behavior.
On one hand, dynamic pricing clearly has the potential to encourage sales, but is it possible that in some instances it could it impede sales? If customers come to believe that the price of a product might go down in the very near future, and perhaps even on the same day, it's not unfathomable that some of them would decide to hold off on a purchase.
And as every retailer knows, a delayed purchase is much more likely to become a purchase that never happens, or happens somewhere else.

5. Overall experience

While price is an important factor in purchasing decisions and is often the most important factor, retailers should remember that their long-term success will likely depend on their ability to offer much more than that.
Customer service, selection, shipping, return policies and loyalty schemes can also help drive sales, even when a retailer can't offer the lowest price. These things are often crucial to fostering the brand positioning and customer loyalty retailers covet, so embracing dynamic pricing without addressing overall customer experience is short-sighted.

Dynamic Pricing


With Transfinancial Economics it would be possible to deal with rapid changes in the Free Market Price.In the case of many airline charges, algorithms, and computers  are actually used to determine dynamic price changes necessary  for that industry. http://www.p2pfoundation.net/Transfinancial_Economics


Dynamic pricing, also called real-time pricing, is an approach to setting the cost for a product or service that is highly flexible. The goal of dynamic pricing is to allow a company that sells goods or services over the Internet to adjust prices on the fly in response to market demands.
Changes are controlled by pricing bots, which are software agents that gather data and use algorithms to adjust pricing according to business rules. Typically, the business rules take into account such things as the customer's location, the time of day, the day of the week, the level of demand and competitors' pricing.  With the advent of big data and big data analytics, however, business rules for price adjustments can be made more granular. By collecting and analyzing data about a particular customer, a vendor can more accurately predict what price the customer is willing to pay and adjust prices accordingly.
Dynamic pricing is legal, and the general public has learned to accept dynamic pricing when purchasing airline tickets or reserving hotel rooms online.  The approach, which is sometimes marketed as a personalization service, has been less successful with online retail vendors. Dynamic pricing can be contrasted with fixed pricing, an approach to setting the selling price for a product or service that does not fluctuate. Source Ref Tech Target






From Wikipedia, the free encyclopedia

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Dynamic pricing is a pricing strategy in which businesses set highly flexible prices for products or services based on current market demands.[1] Business are able to stay competitive by changing prices based on algorithms that take into account competitor pricing, supply and demand, and other external factors. Dynamic pricing is a common practice in several industries such as hospitality, travel, entertainment, and retail. Each industry takes a slightly different approach to repricing based on its needs and the demand for the product. One commonality, however, is the use of dynamic pricing to increase revenue and profits, whether to fill a stadium, flight, or sales quota.
Hospitality
Hotels and other players in the hospitality industry use dynamic pricing to adjust the cost of rooms and packages based on the supply and demand needs at a particular moment.[2] The goal of dynamic pricing in this industry is to find the best price that consumers are willing to pay. Another name for dynamic pricing in the industry is demand pricing and is a form of price discrimination, which is used to try to maximize revenue based on the willingness to pay of different market segments. They feature price increases when demand is high and decreases to stimulate demand when it is low. Having a variety of prices based on the demand at that point in the day makes it possible for hotels to generate more revenue by bringing in customers at the different price points they are willing to pay.
Travel
Airlines change prices often depending on the day of the week, time of day, and number of days before the flight.[3] For airlines, dynamic pricing factors in different components such as: how many seats a flight has, departure time, and average cancellations on similar flights.[4]
Entertainment
Sports ticketing is a segment of the entertainment industry that effectively uses real-time pricing to boost revenue. Dynamic pricing is particularly important in baseball because MLB teams play around twice as many games as some other sports and in much larger venues.[5]
Sports that are outdoors have to factor weather into pricing strategy, in addition to date of the game, date of purchase, and opponent.[6]
Ticket retailers have much more flexibility with dynamic pricing because tickets for a game during inclement weather will sell better at a lower price; conversely, when a team is on a winning streak, fans will be willing to pay more.
Retail
Retailers, and online retailers in particular, adjust the price of their products according to competitors, time, traffic, conversion rates, and sales goals.[7] The aim of dynamic pricing is to increase revenue and profit. There are three basic ways to do this.
  • First, retailers can use price intelligence to reprice based on the prices of their competitors.
  • Second, retailers can drop prices when demand is low.
  • Third, retailers can increase prices while demand is high.
Pricing Based on Competitors
Businesses that want to price competitively will monitor their competitors’ prices and adjust accordingly. Amazon is a market leader in retail that reprices often,[8] which encourages other retailers to alter their prices to stay competitive. Competitor-based dynamic pricing can increase sales, especially if they take advantage when other retailers run out of stock.
Time Based Pricing
Many industries change prices depending on the time of day, especially online retailers, whose customers usually shop the most in the evening. Dropping prices during the morning and afternoon can be an effective way to increase sales during typically slow times of the day. Raising prices during the evening is a way to generate more revenue and profit because demand is highest then.
Transportation is another area where prices vary based on the time of day. The San Francisco Bay Bridge charges a higher toll during rush hour and on the weekend, when drivers are more likely to be travelling.[9] This is an effective way to boost revenue when demand is high, while also managing demand since drivers unwilling to pay the premium will avoid those times. Dynamic pricing in transportation is also called peak-load pricing.
Conversion Rate Pricing
Pricing based on conversion rates is a way to turn window shoppers into buyers. When conversion rates of viewers to buyers is low, dropping the price can help turn it around.
Future of Dynamic Pricing
Dynamic pricing is becoming an important factor for retailers,[10] as many have already adopted some form of it in order to counteract showrooming. The concept of dynamic pricing has been around for many years, particularly in the airline and hotel industries, but retail is one of the newer industries to adopt this pricing strategy. Nonetheless, adoption has accelerated recently as retailers have seen the impact on revenue and profits.

References[edit]

  1. Jump up ^ "Dynamic Pricing definition". WhatIs.com. Retrieved April 1, 2014.
  2. Jump up ^ Tucker Cummings (2013) "Everything You Need to Know about Dynamic Pricing". Hospitality Net. Retrieved April 1, 2014.
  3. Jump up ^ Dr. Gabor Forgacs (2010) "Revenue Management: Dynamic Pricing". WhatIs.com. Retrieved April 1, 2014.
  4. Jump up ^ Dale Furtwengler (2011) "The Perils of Dynamic Pricing Lessons Learned from the Airline Industry". Retail Customer Experience. Retrieved April 1, 2014.
  5. Jump up ^ Patrick Rishe (2012) "Dynamic Pricing: The Future of Ticket Pricing in Sports". Forbes. Retrieved April 1, 2014.
  6. Jump up ^ Doug Williams (2012) "Dynamic pricing is new trend in ticket sales". ESPN. Retrieved April 1, 2014.
  7. Jump up ^ Arie Shpanya (2013) "5 Trends To Anticipate In Dynamic Pricing". Retail Touch Points. Retrieved April 1, 2014.
  8. Jump up ^ Arie Shpanya (2013) "Do profits matter? The curious case of Amazon.com". Venturebeat. Retrieved April 18, 2014.
  9. Jump up ^ "Toll Schedule for State-Owned Toll Bridges". Bay Area Toll Authority. Retrieved April 1, 2014.
  10. Jump up ^ "Dynamic Pricing - Price Optimization, Competitive Pricing & Merchandising". LinkedIn. Retrieved April 29, 2014.