Share with your friends










Submit

Analytics Magazine

Five-Minute Analyst: Black Friday

January/February 2013

Harrison SchrammBy Harrison Schramm

Each year, the beginning of the Christmas shopping season, “Black Friday,” seems to start earlier. Black Friday is currently the day immediately following “Mobile Thursday” [1], although this year some businesses stated their holiday sales at 8 p.m. on Mobile Thursday. I am interested in the so-called “Christmas Creep,” where lights and sales begin earlier. Consider the following from Google Trends for searches on “Black Friday” and various retailers who are known for Black Friday sales (see Figure 1).

Figure 1: Google Trends results for searches on “Black Friday” (blue) and selected retailers with physical presence.
Figure 1: Google Trends results for searches on “Black Friday” (blue) and selected retailers with physical presence.

Clearly, search volumes for these retailers are strongly correlated with the Black Friday searches, which themselves are strongly correlated with Black Friday itself. For a comparison of Black Friday sales against other holiday shopping dates, see Figure 2.

Figure 2: Google Trends results for searches on “Black Friday” (blue) and other shopping dates of interest. Internet searches for Black Friday dwarf both Cyber Monday and Mobile Thursday. The small peak in early 2012 is correlated to a “Spring Black Friday” sale [2].
Figure 2: Google Trends results for searches on “Black Friday” (blue) and other shopping dates of interest. Internet searches for Black Friday dwarf both Cyber Monday and Mobile Thursday. The small peak in early 2012 is correlated to a “Spring Black Friday” sale [2].

Black Friday has been joined recently by other shopping dates such as “Cyber Monday” and “Mobile Thursday,” although the results in Trends for these two items are completely dwarfed by the Black Friday results. There are most likely two reasons for this:

  1. There’s no reason to search for “Cyber Monday” shopping – you simply go and do it directly from your favorite Web site.
  2. Because of overhead, the stakes are much higher for retailers with a physical presence. Bringing in your employees after dinner on Mobile Thursday represents a risk.

There’s an interesting dynamic to opening times and “Christmas Creep.” Holiday season sales are estimated to represent 20 percent to 40 percent of annual sales for many retailers. If the holiday season begins on “Black Friday,” this is because retailers (at least implicitly) agree to begin it then. As soon as one retailer decides to begin his sales “a little early,” then all of the other retailers in that particular sector need to move their sales up as well. Like an arms race, this problem is unstable. Consider the payoffs in Table 1.

Store 1 / Store 2 Open Early Open at Last Year’s Time
Open Early (0,0) (+1, -1)
Open at Last Year’s Time (-1, +1) (0,0)

Table 1: Payoffs for a hypothetical game between two retailers. From the starting position of “open at last year’s time,” “open at last year’s time,” either side can unilaterally increase his payoff by deciding to open early by moving in the direction of the arrows. With the knowledge that your competitor may do better by opening early, the best strategy is to open early.

Table 1 does not include any “limits” on the beginning of the holiday shopping season; for example, it would be strange for Santa to arrive before, say, the Fourth of July, but there is nothing to prevent this solution. The limits are sometimes set by law, such as working hours on holidays, as well as what customers are willing to consider as the “Christmas Season.” It would seem that there is a disincentive for being the “leader” of making the shopping season start sooner; however, once one retailer decides that they should open earlier (and thereby begin the holiday season earlier), it is optimal for other retailers to follow suit.


Harrison Schramm (harrison.schramm@gmail.com) is a military instructor in the Operations Research Department at the Naval Postgraduate School in Monterey, Calif. Schramm is a member of INFORMS.

REFERENCES

  1. Some of the older readers of this column may ask, “But isn’t Thanksgiving on a Thursday?” It is. Thanksgiving is celebrated between tweets on Mobile Thursday.
  2. Forbes Magazine, April 10, 2012.

business analytics news and articles



Headlines

Fighting terrorists online: Identifying extremists before they post content

New research has found a way to identify extremists, such as those associated with the terrorist group ISIS, by monitoring their social media accounts, and can identify them even before they post threatening content. The research, “Finding Extremists in Online Social Networks,” which was recently published in the INFORMS journal Operations Research, was conducted by Tauhid Zaman of the MIT, Lt. Col. Christopher E. Marks of the U.S. Army and Jytte Klausen of Brandeis University. Read more →

Syrian conflict yields model for attrition dynamics in multilateral war

Based on their study of the Syrian Civil War that’s been raging since 2011, three researchers created a predictive model for multilateral war called the Lanchester multiduel. Unless there is a player so strong it can guarantee a win regardless of what others do, the likely outcome of multilateral war is a gradual stalemate that culminates in the mutual annihilation of all players, according to the model. Read more →

SAS, Samford University team up to generate sports analytics talent

Sports teams try to squeeze out every last bit of talent to gain a competitive advantage on the field. That’s also true in college athletic departments and professional team offices, where entire departments devoted to analyzing data hunt for sports analytics experts that can give them an edge in a game, in the stands and beyond. To create this talent, analytics company SAS will collaborate with the Samford University Center for Sports Analytics to support teaching, learning and research in all areas where analytics affects sports, including fan engagement, sponsorship, player tracking, sports medicine, sports media and operations. Read more →

UPCOMING ANALYTICS EVENTS

INFORMS-SPONSORED EVENTS

INFORMS Annual Meeting
Nov. 4-7, 2018, Phoenix

Winter Simulation Conference
Dec. 9-12, 2018, Gothenburg, Sweden

OTHER EVENTS

Making Data Science Pay
Oct. 29 -30, 12 p.m.-5 p.m.


Applied AI & Machine Learning | Comprehensive
Starts Oct. 29, 2018 (live online)


The Analytics Clinic
Citizen Data Scientists | Why Not DIY AI?
Nov. 8, 2018, 11 a.m. – 12:30 p.m.


Advancing the Analytics-Driven Organization
Jan. 28–31, 2019, 1 p.m.– 5 p.m. (live online)


CAP® EXAM SCHEDULE

CAP® Exam computer-based testing sites are available in 700 locations worldwide. Take the exam close to home and on your schedule:


 
For more information, go to 
https://www.certifiedanalytics.org.