IDEAS home Printed from https://ideas.repec.org/a/pal/jmarka/v10y2022i1d10.1057_s41270-021-00121-y.html
   My bibliography  Save this article

The effect of sales promotions intensity on volume and variability in category sales of large retailers

Author

Listed:
  • Ömer Zeybek

    (Migros Ticaret AŞ. R&D Department - Advanced Data Analytics, Istanbul, Turkey & İstanbul Technical University Graduate School–Management Doctoral Programme)

  • Burç Ülengin

    (Istanbul Technical University)

Abstract

Marketing is a system and operational process which includes various interconnected subsystems, harmonising with contributor elements to reach maximum efficiency. In this quest to sustain the most efficient sales trend, “sales promotions” have an essential role in stimuli of sales trends. Although earlier studies treat promotions as an interim activity to dissolve excess stock, starting from the 1980s, promotions had been seen as a critical element in creating a sustainable sales trend for the products. This paper focuses on the significance of the effect of promotional decisions on mean level and volatility of category sales trend. We employed time series methods, including exogenous variables. In our investigative methodology, sales trend considered in two different contexts, first the current level of sales, which corresponds to an increase in average sales trend and later variability of sales, leading to change in the level of uncertainty in category sales. To illustrate this research question, we use data belonging to one of the largest supermarket chains in Turkey. Category sales data span for five years between 2014 and 2018 in daily frequency queried from the company's database. We select the “laundry powder detergents” category sales quantity as a pilot category. The study exhibits that promotion policy variables have a significant effect on the average level of category sales. However, the uncertainty caused through promotional variables has a weakly significant effect compared to their impacts on the mean level of sales. Our study verifies previous studies claiming promotional variables significantly positively affect the mean level of sales trend. Besides, we found concrete evidence that the volatility of sales trend has a diminishing effect on the trend, while most of this adverse effect stemming from sales series own endogenous volatility process, not promotional variables.

Suggested Citation

  • Ömer Zeybek & Burç Ülengin, 2022. "The effect of sales promotions intensity on volume and variability in category sales of large retailers," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 19-29, March.
  • Handle: RePEc:pal:jmarka:v:10:y:2022:i:1:d:10.1057_s41270-021-00121-y
    DOI: 10.1057/s41270-021-00121-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41270-021-00121-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/s41270-021-00121-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jeongwen Chiang, 1991. "A Simultaneous Approach to the Whether, What and How Much to Buy Questions," Marketing Science, INFORMS, vol. 10(4), pages 297-315.
    2. Robert C. Blattberg & Richard Briesch & Edward J. Fox, 1995. "How Promotions Work," Marketing Science, INFORMS, vol. 14(3_supplem), pages 122-132.
    3. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    4. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. Vincent R. Nijs & Marnik G. Dekimpe & Jan-Benedict E.M. Steenkamps & Dominique M. Hanssens, 2001. "The Category-Demand Effects of Price Promotions," Marketing Science, INFORMS, vol. 20(1), pages 1-22, September.
    7. Jagmohan S. Raju, 1992. "The Effect of Price Promotions on Variability in Product Category Sales," Marketing Science, INFORMS, vol. 11(3), pages 207-220.
    8. Harald J. van Heerde & Peter S. H. Leeflang & Dick R. Wittink, 2004. "Decomposing the Sales Promotion Bump with Store Data," Marketing Science, INFORMS, vol. 23(3), pages 317-334, December.
    9. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    10. Joanna Bruzda, 2020. "Multistep quantile forecasts for supply chain and logistics operations: bootstrapping, the GARCH model and quantile regression based approaches," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 309-336, March.
    11. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maria Petrescu & Anjala S. Krishen, 2023. "Mapping 2022 in Journal of Marketing Analytics: what lies ahead?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(1), pages 1-4, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Johannes W. Fedderke, 2021. "The South African–United States sovereign bond spread and its association with macroeconomic fundamentals," South African Journal of Economics, Economic Society of South Africa, vol. 89(4), pages 499-525, December.
    2. Committee, Nobel Prize, 2003. "Time-series Econometrics: Cointegration and Autoregressive Conditional Heteroskedasticity," Nobel Prize in Economics documents 2003-1, Nobel Prize Committee.
    3. Barnett, William A. & Serletis, Apostolos & Serletis, Demitre, 2015. "Nonlinear And Complex Dynamics In Economics," Macroeconomic Dynamics, Cambridge University Press, vol. 19(8), pages 1749-1779, December.
    4. repec:fgv:epgrbe:v:66:n:3:a:3 is not listed on IDEAS
    5. Matos, Paulo & Beviláqua, Giovanni & Filho, Jaime, 2012. "Previsão do câmbio real-dólar sob um arcabouço de apreçamento de ativos," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 66(3), October.
    6. Johannes W. Fedderke, 2020. "Is the Phillips curve framework still useful for understanding inflation dynamics in South Africa," Working Papers 10142, South African Reserve Bank.
    7. Efimova, Olga & Serletis, Apostolos, 2014. "Energy markets volatility modelling using GARCH," Energy Economics, Elsevier, vol. 43(C), pages 264-273.
    8. Deb, Prokash & Dey, Madan M. & Surathkal, Prasanna, 2021. "Fish Price Volatility Dynamics in Bangladesh," 2021 Annual Meeting, August 1-3, Austin, Texas 314077, Agricultural and Applied Economics Association.
    9. Shi Chen & Cathy Yi-Hsuan Chen & Wolfgang Karl Hardle, 2020. "A first econometric analysis of the CRIX family," Papers 2009.12129, arXiv.org.
    10. Remes, Piia, 2013. "Putting a Price on Carbon – Econometric Essays on the European Union Emissions Trading Scheme and its Impacts," Research Reports 62, VATT Institute for Economic Research.
    11. Rakshit, Debopam & Paul, Ranjit Kumar & Panwar, Sanjeev, 2021. "Asymmetric Price Volatility of Onion in India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 0(Number 2), June.
    12. Cong, Ren & Lo, Alex Y., 2017. "Emission trading and carbon market performance in Shenzhen, China," Applied Energy, Elsevier, vol. 193(C), pages 414-425.
    13. Subrata Roy, 2020. "Stock Market Asymmetry and Investors’ Sensation on Prime Minister: Indian Evidence," Jindal Journal of Business Research, , vol. 9(2), pages 148-161, December.
    14. Biru Paksha Paul, 2013. "Inflation--growth nexus: some bivariate EGARCH evidence for Bangladesh," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 6(1), pages 66-76, March.
    15. Haigh, Michael S. & Bryant, Henry L., 2000. "Price And Price Risk Dynamics In Barge And Ocean Freight Markets And The Effects On Commodity Trading," 2000 Conference, April 17-18 2000, Chicago, Illinois 18934, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    16. Mushtaq Hussain Khan & Junaid Ahmed & Mazhar Mughal & Imtiaz Hussain Khan, 2023. "Oil price volatility and stock returns: Evidence from three oil‐price wars," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3162-3182, July.
    17. Schindler, Felix, 2009. "Volatilitätseffekte am US-amerikanischen Häusermarkt," ZEW Discussion Papers 09-048, ZEW - Leibniz Centre for European Economic Research.
    18. Jieye Qin & Christopher J. Green & Kavita Sirichand, 2019. "Determinants of Nikkei futures mispricing in international markets: Dividend clustering, currency risk, and transaction costs," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(10), pages 1269-1300, October.
    19. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    20. Brunhart, Andreas, 2011. "Evaluating the effect of "Zumwinkel-Affair" and financial crisis on stock prices in Liechtenstein: An unconventional augmented GARCH-approach," KOFL Working Papers 9, Konjunkturforschungsstelle Liechtenstein (KOFL), Vaduz.
    21. Elaheh Asadi Mehmandosti & Fatemeh Bazazan & Mir Hossein Mousavi, 2016. "Uncertainty of Oil Proved Reserves and Economic Growth in Iran," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 374-380.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:jmarka:v:10:y:2022:i:1:d:10.1057_s41270-021-00121-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.