PRIORITY DIRECTIONS FOR DEVELOPING MARKETING STRATEGIES IN UZBEKISTAN’S HOTEL INDUSTRY: RETURNS BY DIRECTION, SEASONALITY AND A BOUNDED REALLOCATION OF THE MARKETING BUDGET
DOI:
https://doi.org/10.5281/zenodo.23360542Abstract
Priorities for hotel marketing are usually asserted rather than measured, and the assertion is almost always that digital communication comes first. This article measures them. It follows 160 hotels in Tashkent, the heritage cities and secondary cities of Uzbekistan over twelve quarters and estimates what happens to a hotel’s RevPAR index when it moves one point of its marketing budget from digital communication to each of five other directions: direct booking capability, revenue management, service quality and training, off-season and MICE programmes, and partnerships with tour operators. Because budget shares sum to 100, every estimate is a comparison between directions rather than a return in isolation. Within hotels, direct booking capability leads at 0.088 index points per point of budget (t = 4.29), followed by off-season programmes at 0.083 (t = 3.89), service quality at 0.071 (t = 3.30) and revenue management at 0.064 (t = 2.65); partnerships show no detectable return (0.025, t = 1.19). Comparisons across hotels reverse much of this ranking, putting revenue management first and off-season programmes and partnerships below zero, because they reflect which hotels choose which mix. The expectation that priorities differ by location is not supported: the interaction of off-season programmes with locations outside the capital is 0.040 (t = 0.78). What does differ is the season: the same spending returns 0.145 in the low season against effectively zero in the high season (interaction 0.106, t = 4.69). A reallocation that moves 19.9 points of the marketing budget, without taking any direction beyond the shares hotels already use, raises the RevPAR index by 1.10 points (bootstrap interval 0.51 to 1.69), about one per cent, which is what a rise of 0.9 points of revenue in the marketing budget would buy. The priorities that follow are therefore ordered, bounded and, in one case, seasonal.Keywords
marketing strategy, priority setting, budget allocation, direct booking, seasonality, revenue management, hotel industry, UzbekistanReferences
[1] Rust, R. T., Lemon, K. N., & Zeithaml, V. A. (2004). Return on marketing: Using customer equity to focus
marketing strategy. Journal of Marketing, 68(1), 109-127.
[2] Hanssens, D. M., & Pauwels, K. H. (2016). Demonstrating the value of marketing. Journal of Marketing,
80(6), 173-190.
[3] Kimes, S. E. (1989). Yield management: A tool for capacity-constrained service firms. Journal of
Operations Management, 8(4), 348-363.
[4] Carroll, B., & Siguaw, J. (2003). The evolution of electronic distribution: Effects on hotels and
intermediaries. Cornell Hotel and Restaurant Administration Quarterly, 44(4), 38-50.
[5] Anderson, C. K. (2009). The billboard effect: Online travel agent impact on non-OTA reservation volume.
Cornell Hospitality Report, 9(16). Ithaca, NY: Center for Hospitality Research, Cornell University.
[6] Ye, Q., Law, R., & Gu, B. (2009). The impact of online user reviews on hotel room sales. International
Journal of Hospitality Management, 28(1), 180-182.
[7] Anderson, C. K. (2012). The impact of social media on lodging performance. Cornell Hospitality Report,
12(15). Ithaca, NY: Center for Hospitality Research, Cornell University.
[8] Butler, R. W. (2001). Seasonality in tourism: Issues and implications. In T. Baum & S. Lundtorp (Eds.),
Seasonality in Tourism (pp. 5-21). Oxford: Pergamon.
[9] Baum, T., & Lundtorp, S. (Eds.). (2001). Seasonality in Tourism. Oxford: Pergamon.
[10] Aitchison, J. (1986). The Statistical Analysis of Compositional Data. London: Chapman and Hall.
[11] Bertrand, M., Duflo, E., & Mullainathan, S. (2004). How much should we trust differences-in-differences
estimates? Quarterly Journal of Economics, 119(1), 249-275.
[12] King, G., & Zeng, L. (2006). The dangers of extreme counterfactuals. Political Analysis, 14(2), 131
159.
[13] Statistics Agency under the President of the Republic of Uzbekistan. (2026). Official statistics: SDMX
datasets 862, 864, 875. Retrieved September 2026, from https://api.siat.stat.uz/media/uploads/sdmx
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