We apply input-output modelling techniques to the Eurostat Supply and Use tables to estimate Type II multipliers (which adjust for indirect and induced effects) for each sector of the EU economy. We aggregate this to an EU-wide Type II multiplier by taking an average, weighted by each industry’s output and use of social media for marketing (drawn from Eurostat data on the share of enterprises using social media for marketing). We multiply direct business impact by this Type II multiplier to estimate the overall economic output enabled by TikTok.
We estimate the number of EU businesses that use TikTok to reach international customers and clients, and the value of exports this activity supports.
Number of businesses using TikTok for international reach
To calculate the number of businesses, we combine Eurostat data on the total number of enterprises in the EU with survey data on the proportion of businesses that use TikTok for international marketing.
We use:
The survey asked businesses whether they use TikTok to reach clients or customers outside their country, either through organic content or paid advertising. We apply the weighted proportion of affirmative responses to the total business count to derive our estimate.
Value of exports supported
To estimate the value of exports supported by TikTok, we calculate the share of total TikTok-driven economic activity attributable to businesses using the platform for international reach, then apply an adjustment to isolate inter-EU exports.
We use:
We multiply the total economic impact of advertising by the share of businesses using TikTok for international reach to estimate total export-related activity. We then apply the inter-EU trade ratio to isolate the portion representing exports to countries within the European Union.
We estimate the productivity gains that EU businesses achieve by using TikTok for advertising, measured as the time savings in advertising content production compared to other channels.
Production time reduction
To estimate the reduction in advertising production time, we compare the time businesses report spending on TikTok content production against the weighted average production time across all advertising channels.
We use:
We calculate the weighted average production time for TikTok and compare it to the overall weighted average across all channels (weighted by the number of businesses using each channel). The percentage difference represents the production time reduction.
Productivity savings value
To translate these time savings into a monetary value, we estimate what businesses would have spent on advertising production if they had used alternative channels with longer production times.
We use:
We calculate the counterfactual spend — what businesses would have spent if production took as long as the average across all channels. The difference between this counterfactual and actual spend represents the productivity savings that businesses can redirect to other activities.
We estimate the consumer surplus — the value users derive from TikTok beyond what they pay for it — for adult users in the EU.
We first measure users’ willingness to pay for TikTok using a stated preference survey approach. We draw on a nationally representative consumer survey conducted by Public First across EU countries which asks users whether they would pay various monthly fees to continue using the platform or go without it. We apply demographic weights to ensure results are representative of the adult population.
For each price point, we calculate the weighted share of users who would pay that fee rather than go without the platform. This generates a demand curve showing how willingness to pay varies across the user population.
We estimate the median consumer surplus using a log-linear regression approach. We fit a linear regression to the relationship between the natural logarithm of price and the proportion of users willing to pay, then calculate the price at which 50% of users would pay — representing the median willingness to pay.
Since TikTok is free to use, the full median willingness to pay represents the consumer surplus. We annualise the monthly figure to derive annual consumer surplus per user.
To calculate total consumer surplus across the EU, we estimate the number of adult TikTok users and multiply by the per-user surplus.
We use:
We multiply the user share by the adult EU population to estimate total users, then multiply by the annual consumer surplus per user to derive total consumer surplus in euros.
We estimate the incremental consumer spending in tourism, retail, hospitality, and services driven by discovery on TikTok — spending that would not have occurred without the platform.
We first estimate the share of the adult EU population that has undertaken specific activities (such as visiting a destination, trying a restaurant, or purchasing a product) after discovering them on TikTok. We draw on a nationally representative consumer survey conducted by Public First across EU countries which asks TikTok users whether they have ever done specific activities after seeing or hearing about them on TikTok. We apply demographic weights to ensure results are representative of the adult population.
For each activity category, we estimate the average amount spent by asking respondents how much they spent the last time they undertook the activity after discovering it on TikTok. We create weighted averages to derive representative spending figures for each activity type.
Not all spending on TikTok-discovered activities is incremental — some would have occurred anyway. We adjust for this by asking respondents whether they would have undertaken the activity if they had not discovered it on TikTok. We assign additionality weights based on responses and apply the weighted average additionality rate for each activity to isolate spending that is genuinely incremental.
To calculate total incremental spending, we combine the above components and scale to the EU adult population.
We use:
For each activity, we multiply the number of people who have done it by the average spending and the additionality rate, then divide by the average account age to derive annual incremental spending. We sum across all activity categories to derive total incremental consumer spending driven by TikTok.
We estimate the savings EU consumers enjoy through TikTok-enabled price comparison and market access, and the additional consumer spending and economic activity these savings support.
Consumer savings from price comparison
To estimate consumer savings, we calculate the value of reduced prices that consumers enjoy when they can compare offerings from multiple vendors via TikTok, rather than purchasing from a single retailer. We do this by multiplying TikTok use rates with the price savings from increased competition and baseline household consumption expenditure on consumer goods.
We use:
Additional consumer spending
Consumer savings increase disposable income, a portion of which is spent on additional consumption. We estimate the value of this additional spending by multiplying consumer savings by the marginal propensity to consume, derived from Eurostat’s estimate of the EU household savings rate.
Additional gross value added
Additional consumer spending generates economic activity measured as gross value added (GVA). We convert additional consumption to GVA by applying the ratio of GVA to final consumption in the EU economy, from Eurostat national accounts data.
We estimate the additional royalties and revenues generated for EU artists through TikTok-driven music discovery, covering streaming, live music, and merchandise.
We first estimate the total size of music-related spending in the EU across three categories: streaming, live music, and merchandise.
We use:
To estimate TikTok’s incremental impact on music spending, we use a counterfactual analysis comparing TikTok users to non-users, drawing on research from Luminate showing that TikTok users spend 27% more on music-related purchases than non-users. We combine this with TikTok’s penetration rate among EU adults, derived from a nationally representative consumer survey conducted by Public First to estimate the additional spending attributable to TikTok.
We then estimate the share of this incremental spending that accrues to EU artists using IFPI data on track popularity across EU countries by artist origin.
We estimate the volume and economic value of informal learning enabled by educational and skills-based content on TikTok across the EU.
Estimating learning hours
We use our nationally representative survey of EU consumers to estimate total annual hours of informal learning on TikTok, drawing on respondents reporting the amount of time they spend in an average week watching skills-based content on TikTok. We apply demographic weights and population data for the EU-27 to ensure results are representative of the EU adult population.
To adjust for differences in TikTok usage across EU countries, we apply a scaling factor based on TikTok penetration rates, drawing on monthly active user counts for all 27 EU member states from TikTok’s DSA Transparency Report and population-weighted penetration rates in our survey.
Monetising learning time
We calculate average weekly hours of informal learning per person separately for employed and non-employed respondents, annualising and aggregating these to the EU-27 level using population weights and relative employment rates. We convert total learning hours into an estimate of productivity-enhancing knowledge value using estimates for the monetary value employed and non-employed time.
We use:
We estimate the incremental direct, indirect, and induced economic output generated by advertising on TikTok for small and medium-sized enterprises (SMEs) in the EU.
We estimate the direct economic impact of advertising on of TikTok for SMEs by scaling the overall economic impact of advertising on TikTok (see Economic Impact of Advertising on TikTok App methodology) to account for the SME share of social media-related business activity.
We calculate the SME share by comparing SME revenue to total enterprise revenue, weighted by respective social media use rates. We use:
Direct economic activity generates additional effects through supply chains (indirect effects) and household spending from wages (induced effects). We apply input-output modelling techniques to the Eurostat Supply and Use tables to estimate Type II multipliers (which adjust for indirect and induced effects) for each sector of the EU economy. We aggregate this to an EU-wide Type II multiplier by taking an average, weighted by each industry’s output and use of social media for marketing.
We multiply our estimate for direct SME impact by our Type II multiplier to estimate the overall economic impact of advertising on the TikTok app for SME output.
We estimate the value added and employment supported by TikTok’s creative economy in the EU, including content creators, influencers, and production services.
We define TikTok’s potential creative economy as belonging to two industry groupings that capture the core professional activities of content creators and the advertising services that monetise content on digital platforms:
We apply input-output modelling techniques to the Eurostat Supply and Use tables to estimate the total value added from these industries, projecting values to 2025 using GDP growth forecasts from the IMF. This approach captures both the direct economic activity in the creative economy as well as indirect and induced effects.
To isolate TikTok’s contribution to the creative economy, we apply platform-specific shares reflecting TikTok’s share in digital video advertising and content creation.
We estimate TikTok’s share by:
We apply this TikTok share to the overall GVA contribution of the creative economy to estimate the impact attributable to TikTok-enabled activity. We draw on employment by industry data from the Eurostat Labour Force Survey to additionally express this activity in terms of jobs supported.