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Citation:
Golovanova AM (2025) TV advertising in Russian FMCG sector: The analysis of expenditure and brand strategies under Russia–Ukraine conflict. Russian Journal of Economics 11(2): 215-236. https://doi.org/10.32609/j.ruje.11.145426
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The paper is devoted to econometric analysis of the impact of Russia–Ukraine conflict, which started in February 2022, on TV advertising strategies of fast-moving consumer goods (FMCG) companies. With the help of quantitative methods, the study analyzes changes in TV advertising expenditures of domestic and foreign brands, using Mediascope TV Index daily data from 2021 and 2022 to test the hypothesis of whether this geopolitical shock made advertising costs dwindle or rise. Cross-country-of-origin and cross-product differences are also investigated. It is confirmed that, on average, the shock resulted in a reduction of ad expenditures of FMCG companies with a pronounced effect on domestic brands and brands from “friendly” countries. Thus, the cost-saving arguments seem to outweigh the expected benefits from promotion in the majority of the considered FMCG product markets. The increase in ad spending on isolated product groups (clothing, electronics, personal hygiene items and tobacco and alcoholic beverages) indirectly evidences that the brands faced sharp intensification of competition because of structural changes in the markets under which extra ad spending was found reasonable.
TV advertising, fast-moving consumer goods, brands strategies, impact of crisis, Russia.
In 2022, Russian markets faced transformations and obstacles. The key factors influencing these markets were the conflict in Ukraine and the forthcoming sanctions against Russia. The shift in the political landscape and the prevailing instability in the region have led to changes in numerous markets, including fast-moving consumer goods (FMCG) and advertising.
In the FMCG market, both foreign and domestic companies have been forced to reexamine their market strategies, caused by the logistical challenges and political pressures and the structural changes in competition and market participants. Many international brands stopped doing business in Russia. The niche left by departing firms has been filled by new brands appearing in 2022, mostly in the food sectors. There were changes on the consumer side of the markets as well, with people focusing on cost effective alternatives and promotions, because of the income decline and uncertainty. All of this has influenced the companies’ marketing strategies, including their advertising solutions, which can be considered as a mirror of what was happening in 2022. There is no dominant theoretical framework to address the impact of geopolitical events on advertising. Theories from marketing and consumer behavior explain multidirectional effects influencing companies’ decisions on ad spending. Consumer spending attitudes undergo fundamental changes because of the crisis. Economic uncertainty significantly impacts buyer decisions (
During hard times companies face budgetary constraints and uncertainty as well. Because of reduced revenue and increased costs, they often decide to cut their advertising budgets to focus on essential costs instead of promotional activities (
The specificity of the crisis, investigated in the paper, is the exit of many foreign brands from the Russian market for political rather than economic reasons. This affected the intensity of competition among remaining and newly appeared market players, thus influencing their marketing decisions. On the one hand, remaining brands strive to maintain visibility in an evolving economic context. Thus, it would be rational for them to increase marketing expenditures in order not to allow new players to acquire strong positions in the market. As discussed in industrial organization literature, following
Table
The objective of this study is to conduct a quantitative assessment of the changes in expenditure on TV advertising by domestic and foreign companies in the FMCG sector of the Russian economy in 2022 compared to 2021. Firstly, it would be beneficial to ascertain whether the average expenditure of FMCG brands decreased following the shock, and if so, to determine which brands, domestic or foreign, exhibited a more pronounced decline. Another area of interest is whether there has been a change in the proportion of television advertisements for domestic brands following the events of February 2022.
This study is organized as follows. Sections 2 and 3 overview the situation in the FMCG and advertising markets in 2022 respectively. Section 4 explains the methods used in the research, describes the dataset, and provides some descriptive statistics. Section 5 is devoted to the empirical analysis and the discussion of the results. Finally, Section 6 concludes.
| Factor | Incentives to increase advertising budget | Incentives to reduce advertising budget |
| Consumer behavior | Consumers become more receptive to advertising during crises, seeking certainty | The effectiveness of advertising is disputable in case of goods that are not demanded during the crisis |
| Costs and revenue | Long-run benefits from advertising | Cutting marketing expenditures as a cost-saving measure |
| Competition | Increased competition on a market requires more aggressive marketing | Proactive marketing tools are less needed on weakly competitive markets |
Starting from February 2022, a lot of sanctions were imposed against Russia by 48 “unfriendly
Given the trade and financial restrictions as well as political pressure, the brands from “unfriendly” countries faced the choice of whether to continue their business in Russia or to leave the sanctioned country. The key factors that influence such a decision are reputation risk, size of the business opportunity and non-recoverable investments (Meyer and Thein, 2014).
The publications on the Internet in 2022 show that a great number of foreign brands announced the termination of work or suspension/shrinkage of deliveries on the territory of the Russian Federation, including FMCG companies (examples are in Appendix Table
According to IBC Real Estate’s March 2023 survey,
Rebranding has proved to have an effect on consumers’ perception of the brand (
Overall, the appearance of empty niches due to the market exit of some companies provided an opportunity for new market entrants, including the companies in the FMCG segment. NielsenIQ
Instabilities in the economic situation of a particular country have a significant influence on consumers’ habits and behavior, thus affecting the demand side of the markets (
The Russian case serves as empirical evidence of this effect. First of all, due to increased uncertainty, people started to save money. According to the study by Tiburon Research,
In the analysis, it is important to take into account the change in the real consumption of goods and services. In addition, 2022 is associated with a high level of inflation. As a result, although the FMCG industry in Russia has claimed to experience 13.4% growth, the contribution of real consumption turned out to be negative, around 3.4%.
To summarize, both the supply and the demand sides of the Russian FMCG market were affected in 2022. Shifts in the composition of market players and changes in consumers’ behavior had to enforce companies to apply efforts to save or improve their market position. This should be reflected in the demand for advertising, which is indicative of the intensity of non-price competition between companies. That is why advertising campaigns of brands are the focus of the following analysis.
During the periods of economic turbulence, the prevalence of economic news sources rises (
According to the study conducted by the AKAR,
We can find some estimates for the TV advertising revenues dynamics in analytical reports of other digital advertising agencies. OKKAM assessed the TV advertising market to fall by 15% and reach a total volume of 167.76 billion rubles in 2022 compared to 2021.
According to the data, the Ukrainian conflict had an impact on the behavior of Russian TV viewers as well. Fig.
An increase in audience activity was also followed by the change in the content preferences of the TV audience.
The mentioned trends in the Russian TV ad market reflect the general economic dynamics in the country. At the same time, the situation might differ greatly among advertising companies, depending on the specifics of the economic situation and how this affects the markets of their products.
| Segment | 2022, billion rubles | Change to 2021, % |
| Internet | 324.9 | –2 |
| Out of home | 47.6 | +6 |
| Radio | 14.7 | +5 |
| Media | 4.8 | –41 |
| Total | 392.0 | –2 |
The following empirical analysis is aimed at assessing structural changes in the Russian TV advertising market in the segment of FMCG products. The changes in the structure of the advertising market (by product group), i.e., the composition of players, and the volume of this market, i.e., the total demand for advertising, are estimated on the basis of expenditures of the advertising FMCG brands on Russian TV in 2021–2022.
The source of data in the study is the Mediascope TV Index database for 2021 and 2022. Mediascope is a technological company that has been authorized to research the viewership of Russian TV channels since 2017.
The list of brands that have commercial advertisement contracts with these channels includes 2527 companies from the FMCG industry. By the country of origin, they were manually categorized into four groups: domestic (Russian) producers, companies from “unfriendly” countries, and companies from countries that did not join sanctions against Russia. Among the last, we selected a subgroup of companies from (subjectively identified) “friendly” countries (Belarus, Kazakhstan, China, and Turkey). The brands are also manually classified by the product group in accordance with the products the company promotes.
FMCG product groups considered in the paper are characterized in Appendix Table
Companies’ spending on TV advertising is measured by the daily total of the costs counted by GRP (gross rating points). It is the price of ad promotion, carried out by advertising blocks, for each of which the cost of one rating point and its type are fixed in the process of advertising monitoring. The cost of placement for each brand is given by NAA (National Advertising Alliance) according to federal and regional price lists, without taxes, discounts/surcharges, in rubles.
| TV channels | |
| 1st multiplex | Channel One, Russia-1, Russia-24, NTV, Match TV, Channel Five, Karusel, Russia-K, OTR*, TV Center |
| 2nd multiplex | RenTV, SPAS, STS, Domashniy, TV-3, Pyatnitsa, Zvezda, TNT, MIR, MuzTV |
| Other | 2X2, Dom Kino, Mosfilm Golden Collection, Mult, Solntse, SolovyovLive, STS Love, Subbota, TNT 4, Che, U |
The shock of 2022 is expected to have opposing effects on the TV advertising market in the FMCG sector. A change in the demand for advertising by a particular brand could occur for several reasons.
First, the change in the composition of market players had to result in a change in the intensity of competition, which is product-specific. Two effects are expected. On the one hand, an increase in the average companies’ expenditures on ad-promotion could be due to the willingness of new (or already existing) market participants to fill the empty niches. In order to succeed in the struggle for the market share, they need build a strong, recognizable brand that enjoys customer loyalty. Advertising is one of the ways to do this, since the more people know about the brand, the more they demand the product. Both the domestic and the remaining foreign firms might have incentives to promote their products more aggressively. That should lead to increasing average TV advertising expenditures by companies compared with the same period of the previous year. On the other hand, with foreign competitors leaving, the positions of existing firms strengthen. Therefore, the need to compete might decrease, especially when the probability of new entrance is low. This can discourage the rise of expenditures on ad-promotion.
Second, due to the decrease in consumers’ purchasing power caused by inflation and uncertainty, companies might expect their revenue to decrease in the future. This might weaken their ability and willingness to keep expenditures on advertising at the previous level. Thus, as a result, firms would decide to spend less on promotion of their goods.
One more possible reason for companies to decrease the intensity of advertising is a change in FMCG market participants’ budget spending structure in favor of investments aimed at expansion of production facilities and research and development. This is more expected for the markets characterized by a high share of imported goods before the conflict (i.e., pharmaceuticals). The depleted budget resulted from rising costs due to inflation and trade restrictions and this also meant economizing on less important spending.
The above-mentioned allows us to formulate the following research hypotheses:
To test Hypothesis 1, the statistical method of analyzing the dynamics of the overall TV advertising expenditure by product groups is employed. Additionally, the dynamics of the number of advertised brands and the structural changes within each product group are investigated.
Econometrics methods are used to test Hypothesis 2. The two-year data on the costs of companies that were buying slots on advertising on TV in both 2021 and 2022 is used to capture the change in the behavior of already existing agents on the market. In econometric analysis, only observations that correspond to 998 brands advertising on TV both before and after the crisis are used (see Appendix Table
Model 1—OLS:
, (1)
where Costjt is the daily advertising expenditures of the brand j at time t, measured in millions of rubles. Costs are measured in two ways: with and without adjusting for the inflation rate. Monthly Consumer Price Index (CPI) published by Rosstat is used to convert nominal ad expenditures into real ones, which provides a consistent measure across time. Independent variables used in the model are: categoryk is a product group variable, k = [1, 15] (with “accessories” being a base group); shockt is a binary variable that equals to 1 for dates after 24.02.2022; countryi is a country-of-origin group variable, i = [1, 4] (with “domestic” being a base group); M_Yt is a set of binary variables of the combination of month and year of the TV advertising costs (January 2021 is taken as a base group). Among others, this variable controls for changes in TV audience reflected in Fig.
A central part of the analysis is the identification of import substitution in the TV advertising market for the FMCG sector after the shock of 2022. That is why a binary shockt variable as well as its cross effects with categorical variables countryi and categoryk are included in the regression model. This allows us to capture the variation of the effect of the shock on brands’ advertising expenditures by product and country-of-origin. Given that the cost of TV ad-placement demonstrates seasonality (
This specification of the model allows us to capture the category-specific, country-of-origin-specific and time-specific effects on nominal and real ad expenditures, caused by the crisis. The models with panel data analysis let us capture the individual reaction of the brand on the shock. However, using them we cannot examine it within the context of the product group or country.
Model 2—panel data analysis:
Costjt = αj + β2shockt + β3kcategoryk × shockt +
+ β4countryi × shockt + β5M_Yt + β6dayt + ujt. (2)
In this set up, αj represents the unobserved heterogeneity term—individual fixed effect of the brand j. E (αj) = 0, Var(αj), ∀j.
In contrast to the TV advertising market as a whole, which fell by 10–15% in 2022 compared to 2021, according to different studies (as discussed in Section 3), the FMCG segment of the market seems to recover by the end of the year. According to Mediascope data, in December 2022, total ad expenditures of all FMCG brands numbered approximately 373,8 million rubles, compared to 308,0 million in December, 2021. The nominal ad expenditures growth rate is 1,21, which is higher than the inflation rate for this period (about 1,14 according to Rosstat).
Fig.
Appendix Fig.
Appendix Table
The results are consistent with Hypotheses 1. We observe a shift in the structure of the Russian TV advertising market for the FMCG sector towards domestic brands. This effect prevails over the entry of new foreign brands. However, the aggregate data does not clarify if the total ad spending change because of corresponding brands’ exit/entry or due to a change in ad expenditures of existing brands. The following econometric analysis helps evaluate the changes that happened at the brand level. Only brands advertising both before and after the crisis are considered to test for shifts in their marketing strategies.
| Product group | Number of brands | |||||||
| Domestic | Foreign | Total | ||||||
| “neutral” | “friendly” | “unfriendly” | ||||||
| Accessories | 83 | 0 | 12 | 31 | 126 | |||
| Beverages | 41 | 2 | 0 | 23 | 66 | |||
| Clothing | 175 | 12 | 22 | 95 | 304 | |||
| Cosmetics | 49 | 0 | 9 | 56 | 114 | |||
| Electronics | 38 | 7 | 41 | 42 | 128 | |||
| Food | 304 | 7 | 13 | 123 | 447 | |||
| Household chemicals | 28 | 0 | 2 | 27 | 57 | |||
| Household goods | 174 | 1 | 41 | 59 | 275 | |||
| Medication | 222 | 0 | 38 | 197 | 457 | |||
| Personal hygiene items | 53 | 1 | 19 | 83 | 156 | |||
| Pet supplies | 18 | 0 | 2 | 30 | 50 | |||
| Shoes | 35 | 1 | 7 | 31 | 74 | |||
| Stationery | 9 | 0 | 1 | 7 | 17 | |||
| Tobacco and alcoholic beverages | 48 | 1 | 5 | 26 | 80 | |||
| Toys | 58 | 5 | 59 | 54 | 176 | |||
| Total | 1335 | 37 | 271 | 884 | 2527 | |||
In Tables
Tables
The estimates for origin brand country fixed effect reflect that, prior to the shock, the average level of ad expenditures varied between the groups. Brands from “unfriendly” countries were characterized by the highest level of expenditures related to TV promotion of their product. Domestic brands were in the second place by the average level of ad expenditures, followed by brands from “friendly” countries, with the lowest expenditures demonstrated by brands from “neutral” countries. The differences are statistically significant in all specifications of the regression models.
The estimate for the shock variable is negative, indicating an overall decline in TV advertising expenditures by a particular brand after February 2022. The absolute value of the effect is a bit smaller after controlling for inflation but still negative and statistically significant. The largest effect of the shock is revealed for brands from “neutral” and “unfriendly” countries, while domestic brands and brands from “friendly” countries were less affected. This is captured by the sign and the value of the cross-effect of the shock variable.
Fig.
Table
The estimated cross product group × shock effects allow us to reveal the difference in reaction of TV ad expenditures on the shock by categories. The sign of the effect is negative for 11 out of 14 categories where the coefficient turns out to be statistically significant. This means that in the majority of product categories, brands decreased their spending on TV advertising after the shock. The most notable decline in TV ad spending after the shock is captured for pet supplies and toys. In contrast, a positive response of ad expenditures to the shock is revealed for clothing, electronics, personal hygiene items and tobacco and alcoholic beverages.
To explain the difference in brand’s marketing strategies to the shock, the in-depth analysis of market concentration and competition is required. In this paper we are unable to do such an investigation with all product categories considered. Nevertheless, particular cases provide evidence that the forces, summarized in Table
Fig.
High ad expenditures are reasonable in the case of entry to a highly competitive market, based on the perception that consumers are sensitive to advertising. This might be an explanation for increasing a brand’s ad expenditures in the clothing category. According to Radaev et al. (2024), “unfriendly” countries’ embargo on exporting luxury goods to Russia (including clothing) and the exit of a big number of internationally recognized brands supported the fast development of domestic clothing production. The entry of a big number of mostly domestic brands on the market and their activity in TV advertising is reflected by Table
As shown in
In the case of pet supplies, toys and cosmetics, it is plausible to suggest that the shift in consumer demand for these goods was one of the contributing factors. During periods of economic turbulence, the perceived necessity for these products diminishes, and consumers shift to cheaper available substitutes. In such circumstances, it may not be an optimal strategy for a brand to prioritize excessive TV ad expenditures due to decreasing receptivity of consumers to advertising.
| Variable | Nominal ad expenditures is the dependent variable | ||
| Model 1(A) | Model 1(B) | Model 2 | |
| Constant (Base: Domestic) | 9.42*** (0.65) | 9.11*** (0.75) | 23.88*** (0.36) |
| “Friendly” country | –1.12*** (0.40) | –1.13*** (0.41) | no |
| “Neutral” country | –7.45*** (1.12) | –7.42*** (1.13) | no |
| “Unfriendly” country | 8.96*** (0.24) | 9.09*** (0.24) | no |
| Shock (Base: Domestic × Shock) | –3.28*** (1.04) | –1.58 (1.36) | –8.01*** (1.08) |
| Friendly × Shock | –1.55** (0.64) | –1.65** (0.70) | –2.00*** (0.58) |
| Neutral × Shock | –17.44*** (2.22) | –18.89*** (2.24) | –16.59*** (1.89) |
| Unfriendly × Shock | –9.60*** (0.44) | –10.18*** (0.46) | –7.31*** (0.39) |
| Fixed effects | |||
| brand | no | no | yes |
| product category × shock | no | yes | yes |
| product category | yes | yes | no |
| month × year | yes | yes | yes |
| day of the week | yes | yes | yes |
| Number of observations | 190 986 | 190 986 | 190 986 |
| Prob > F | 0.0000 | 0.0000 | 0.0000 |
| R 2 adj | 0.1004 | 0.1040 | |
| R 2: within | 0.0957 | ||
| F-test that all FE = 0: Prob > F | 0.0000 | ||
| Variable | Real ad expenditures is the dependent variable | ||
| Model 1(A) | Model 1(B) | Model 2 | |
| Constant (Base: Domestic) | 10.31*** (0.57) | 9.20*** (0.65) | 23.40*** (0.31) |
| “Friendly” country | –1.40*** (0.35) | –1.08*** (0.36) | no |
| “Neutral” country | –7.11*** (0.98) | –7.13*** (0.99) | no |
| “Unfriendly” country | 8.48*** (0.21) | 8.62*** (0.21) | no |
| Shock (Base: Domestic × Shock) | –3.10*** (0.91) | 0.38 (1.19) | –5.40*** (0.93) |
| Friendly × Shock | –0.14 (0.56) | –1.16* (0.61) | –1.30*** (0.50) |
| Neutral × Shock | –13.41*** (1.95) | –14.20*** (1.97) | –11.97*** (1.64) |
| Unfriendly × Shock | –8.69*** (0.39) | –9.42*** (0.40) | –6.62*** (0.34) |
| Fixed effects | |||
| brand | No | no | yes |
| product category × shock | No | yes | yes |
| product category | Yes | yes | no |
| month × year | Yes | yes | yes |
| day of the week | Yes | yes | yes |
| Number of observations | 190 986 | 190 986 | 190 986 |
| Prob > F | 0.0000 | 0.0000 | 0.0000 |
| R 2 adj | 0.0950 | 0.0978 | |
| R 2: within | 0.0773 | ||
| F-test that all FE = 0: Prob > F | 0.0000 | ||
Time fixed effects (margins of year × month combination), 2021–2022. Source: Author’s calculations.
Fixed effects and effects of the shock by product group: Model 1B predictive margins.
| Product group | Product category fixed effects | Effect of the shock | |||||
| Nominal ad expenditures | Real ad expenditures | Nominal ad expenditures | Real ad expenditures | ||||
| 1. | Accessories | 16.43*** (0.46) | 14.65*** (0.40) | –6.27*** (0.61) | –3.89*** (0.54) | ||
| 2. | Beverages | 46.67*** (0.58) | 42.31*** (0.51) | –10.62*** (0.34) | –11.82*** (0.30) | ||
| 3. | Clothing | 31.87*** (0.40) | 28.49*** (0.35) | 0.49 (0.54) | -0.33 (0.47) | ||
| 4. | Cosmetics | 32.51*** (0.48) | 29.43*** (0.42) | –12.61*** (0.80) | –11.42*** (0.70) | ||
| 5. | Electronics | 47.16*** (0.49) | 42.24*** (0.43) | 4.43*** (0.76) | 0.98 (0.67) | ||
| 6. | Food | 36.75*** (0.20) | 33.21*** (0.18) | –8.52*** (0.24) | –8.65*** (0.21) | ||
| 7. | Household chemicals | 23.67*** (0.52) | 21.33*** (0.46) | –10.19*** (1.15) | –8.34*** (1.00) | ||
| 8. | Household goods | 18.60*** (0.35) | 16.64*** (0.31) | –5.95*** (0.49) | –3.97*** (0.43) | ||
| 9. | Medication | 31.72*** (0.17) | 28.61*** (0.15) | –7.67*** (0.19) | –7.24*** (0.17) | ||
| 10. | Personal hygiene items | 26.90*** (0.30) | 23.95*** (0.26) | 1.08** (0.44) | 0.85** (0.38) | ||
| 11. | Pet supplies | 21.98*** (0.71) | 20.15*** (0.62) | –20.49*** (0.37) | –16.94*** (0.32) | ||
| 12. | Shoes | 16.19*** (0.76) | 14.55*** (0.66) | –8.77*** (1.37) | –6.13*** (1.20) | ||
| 13. | Stationery | 19.00*** (1.64) | 17.00*** (1.43) | –3.92*** (0.16) | –2.32*** (0.14) | ||
| 14. | Tobacco and alcoholic beverages | 45.28*** (1.31) | 40.41*** (1.15) | 13.60*** (0.14) | 8.88*** (0.13) | ||
| 15. | Toys | 9.97*** (0.34) | 9.10*** (0.30) | –17.52*** (0.48) | –12.59*** (0.42) | ||
The results of our analysis show that in contrast to the overall reduction in TV ad expenditures in Russia in 2022 compared to 2021, the FMCG segment of the market demonstrated growth that exceeded the inflation rate. This is not related, however, to the intensification of promotional activity of existing brands. Total ad spending increases due to the growth in the number of FMCG brands advertising on TV, mostly domestic ones. It seems reasonable to assume that the fall in other segments of the TV ad market is more pronounced, as in the period of crisis consumers become more rational in their spending and less sensitive to advertising of not demanded products. Besides, many companies, especially producers of sanctioned luxury goods from “unfriendly” countries, stopped doing business and advertising in Russia. Thus, the observed trend with high probability reflects redistribution of air time in favor of essential commodities.
The aggregated data, however, masks changes in marketing strategies of particular brands. According to the results of the econometric analysis, after February 2022, the average FMCG brand’s TV ad expenditures decreased. This reflects that, from the companies’ point of view, cost saving arguments outweighed potential benefits from advertising. According to the literature, this might take place in the markets with low current and potential competition and low probability of significant positive returns from advertising. The decrease in ad expenditures is less pronounced for domestic brands and brands from “friendly” countries. This result appeared to be opposite to the expected one, given the incredible sanctions pressure on the Russian economy during this period. The revealed trends reflect that, at least in the FMCG sector, import substitution prevails over the entry of new foreign brands.
One of the most interesting findings is the asymmetric effect of the 2022 shock on a brand’s TV ad spending in different FMCG product categories. This asymmetry reflects the difference in marketing strategies of the companies. The results suggest that the brand’s TV advertising was the most negatively affected for categories such as pet supplies, toys, beverages and cosmetics. In contrast, increase in a brand’s TV ad spending following the shock is revealed for clothing, electronics, personal hygiene items and tobacco and alcoholic beverages. A brief comparison of the product categories gives evidence that companies cut their ad spending more on the markets characterized by decreasing consumer demand and low opportunities to win market share using aggressive promotional strategy. In contrast, the product categories that demonstrate an increase in TV ad spending seem to be the ones characterized by intensive competition, fast entry of new brands and relatively big companies. This is consistent with predictions of theories on marketing and consumer behavior and in line with the results of empirical studies by other authors. However, more detailed analysis of each FMCG product market situation is required to draw objective conclusions on the reasons that led to the observed changes in the brand’s advertising strategies.
The article was prepared within the framework of the HSE University Basic Research Program.
| Product group | Brands | Decision |
| Clothing | LPP (Reserved, Sinsay, Mohito, Cropp, House), Inditex (Zara, Bershka, Pull & Bear, Oysho, Stradivarius, Massimo Dutti), Levi’s, Reebok | Rebranding |
| Yoox Net-a-Porter Group (ASOS, Burberry, Farfetch) | Interruption of deliveries | |
| Adidas, Nike, Puma, LVMH (Dior, Guerlain, Givenchy, Kenzo, Make Up For Ever, etc.), Decathlon, Kering (Balenciaga, Gucci, Yves Saint Laurent), H&M, Uniqlo | Business interruption | |
| Cosmetics | Sephora, LUSH, L’Occitane | Rebranding |
| L’Oreal (Lancôme, Giorgio Armani Beauty, Biotherm, Kiehl’s, Garnier, Maybelline NY, NYX Professional Makeup, Vichy, La RochePosay, etc.), Kao Group | Interruption of deliveries | |
| Estee Lauder (MAC, Clinique, Jo Malone, Tom Ford Beauty, etc.), | Business interruption | |
| Food and beverages | PepsiCo (Pepsi, Adrenaline Rush, etc.), Nestle, Danone, Mondelez, Ferrero | Interruption of investment and advertising activity |
| Mars (Snickers, Milky Way, Twix, Pedigree, Eclipse, Orbit and others) | Limited sales | |
| Fazer, Paulig, Lavazza, Kraft Heinz | Interruption of deliveries | |
| Coca-Cola (Coca-Cola, Sprite, Pulpy, Schweppes, etc.), Dr. Oetker | Business interruption | |
| Electronics | Panasonic | Limited sales |
| AMD, ASUS, Dell, Epson, Logitech, Ricoh, TSMC | Interruption of deliveries | |
| Acer, Apple, Bosch, Canon, Caterpillar, HP, Hitachi, Ericsson, IBM, LG, Nokia, Sony, Siemens | Business interruption | |
| Accessories and toys | Hamleys, Lego | Rebranding |
| Rolex, Swatch Group | Interruption of deliveries | |
| Cartier, Pandora, Swarovski, Tiffany & Co | Business interruption | |
| Tobacco and alcoholic beverages | Pernod Ricard (Chivas Regal, Jameson, Ballantine’s, Absolut, Olmeca, Havana Club), Bacardi Limited | Interruption of deliveries |
| Carlsberg (Carlsberg, Tuborg, Zatecky Gus, Baltika), Heineken,Velkopopovický Kozel, Gambrinus, Brown-Forman (Budweiser Budvar), British American Tobacco (Kent, Vogue, Dunhill, Lucky Strike, Rothmans, etc.), Philip Morris (Marlboro, L&M, Parliament, IQOS), Imperial Brands (Davidoff, West, Drum, etc.) | Business interruption | |
| Personal hygiene items and household chemicals | Procter & Gamble Co, Uniliver | Limited sales |
| Essity, Johnson & Johnson, Reckitt, Lush, Henkel | Business interruption | |
| Medication | Bayer, Pfizer, Sanofi | Interruption of investment activity |
| AbbVie, BASF, Bristol Myers Squibb, IMCD, MSD | Business interruption and stop of clinical trials |
| Product group | Description | Total number of brands advertising on TV at least once in 2021–2022 |
| Accessories | Jewelry (necklaces, bracelets, earrings, rings), handbags, glasses, wallets, belts, watches | 126 |
| Beverages | Non-alcoholic beverages (fruit juices, soda, tonic, energy drinks), bottled water | 66 |
| Clothing | Tops (blouse, shirt, sweater, bodysuits), bottoms (trousers, shorts, skirts), dresses, suits, sportswear, lingerie | 304 |
| Cosmetics | Cosmetics for the face (lipsticks, blushes, powders, mascara, concealers, etc.), skin cosmetics (moisturizers, scrubs, sunscreens) | 114 |
| Electronics | Laptops, camcorders, mobile phones, projectors, digital cameras, monitors, etc. | 128 |
| Food | Dairy products, bakery products, chocolate and sweets, coffee | 447 |
| Household chemicals | Non-food chemicals, clothing, room and utensil care products | 57 |
| Household goods | Kitchenware, furniture, bedding, books, tools, etc. | 275 |
| Medication | Solid (tablet, capsule, gelatin capsule), liquid (syrup, elixir), inhalation (aerosol, lozenge) and topical forms | 457 |
| Personal hygiene items | Soap, shampoo, deodorant, toothpaste, toilet paper, feminine hygiene products, antibacterial fluids and nail clippers | 156 |
| Pet supplies | Food, toys, belts, collars, litter boxes, cages | 50 |
| Shoes | Boots, crocs, high heels, sneakers, slippers, sandals | 74 |
| Stationery | Paper, pens, pencils, markers, envelopes, notebooks, sticky notes, erasers, staplers, paperclips, and various types of adhesives like glue and tape | 17 |
| Tobacco and alcoholic beverages | Alcoholic beverages (beer, ale, champagne, wine, gin, vodka, tequila), tobacco, e-cigarettes, vape | 80 |
| Toys | Cars and radio controlled, construction toys, dolls, educational toys, games, puzzle, science | 176 |
| Total | 2527 |
| Product group | Number of brands, advertising on TV both before and after the crisis | Number of brands, advertising on TV only before the crisis | Number of brands, advertising on TV only after the crisis | Share of domestic brands, advertising on TV, % | |||||||||||
| domestic | unfriendly | others | domestic | unfriendly | others | domestic | unfriendly | others | before the crises | after the crises | |||||
| Accessories | 24 | 3 | 8 | 33 | 20 | 2 | 26 | 8 | 2 | 63.3 | 70.4 | ||||
| Beverages | 13 | 11 | 1 | 14 | 11 | 0 | 14 | 1 | 1 | 54.0 | 65.9 | ||||
| Clothing | 34 | 28 | 13 | 66 | 42 | 14 | 75 | 25 | 7 | 50.8 | 59.9 | ||||
| Cosmetics | 18 | 22 | 0 | 12 | 22 | 4 | 19 | 12 | 5 | 38.5 | 48.7 | ||||
| Electronics | 17 | 16 | 14 | 8 | 17 | 15 | 13 | 9 | 19 | 28.7 | 34.1 | ||||
| Food | 126 | 80 | 5 | 73 | 23 | 7 | 105 | 20 | 8 | 63.4 | 67.2 | ||||
| Household chemicals | 8 | 16 | 1 | 9 | 5 | 1 | 11 | 6 | 0 | 42.5 | 45.2 | ||||
| Household goods | 39 | 19 | 18 | 68 | 20 | 11 | 67 | 20 | 13 | 61.1 | 60.2 | ||||
| Medication | 112 | 98 | 24 | 46 | 70 | 8 | 64 | 29 | 6 | 44.1 | 52.9 | ||||
| Personal hygiene items | 15 | 45 | 8 | 16 | 28 | 6 | 22 | 10 | 6 | 26.3 | 34.9 | ||||
| Pet supplies | 4 | 15 | 0 | 10 | 9 | 1 | 4 | 6 | 1 | 35.9 | 26.7 | ||||
| Shoes | 10 | 12 | 3 | 8 | 11 | 2 | 17 | 8 | 3 | 39.1 | 50.9 | ||||
| Stationery | 4 | 3 | 0 | 2 | 3 | 0 | 3 | 1 | 1 | 50.0 | 58.3 | ||||
| Tobacco and alcoholic beverages | 24 | 13 | 3 | 13 | 12 | 2 | 11 | 1 | 1 | 55.2 | 66.0 | ||||
| Toys | 21 | 27 | 23 | 15 | 19 | 26 | 22 | 8 | 15 | 27.5 | 37.1 | ||||