Discover how to drive sustainable business value and scale your investment responsibly using insights from our latest Marketing Mix Modeling meta-analysis in Poland.

Ever wonder what makes a media channel transition from a test-and-learn experiment into a long-term growth engine? As TikTok becomes a core media component, marketers need to know precisely how it delivers repeatable business value.
TikTok wanted to understand its true contribution, so we enlisted Yotta (Publicis Groupe) to conduct a meta-analysis of 11 Marketing Mix Modeling (MMM) projects in Poland (2022–2025).
MMM uses historical data to guide media planning. Addressing the industry's need for objective measurement, this study reframes TikTok as a powerful growth lever within the broader media mix and offers evidence-based best practices for scaling investment responsibly.
To compare results across industries, performance is measured using a Return on Investment (ROI) Index against traditional Television (TV baseline = 100). Let’s dive into the data to see how you can maximize your return.
TikTok consistently outperforms TV, online, and offline media, delivering an average ROI that is 28% higher than TV across all product categories. Performance peaks in categories with frequent purchase cycles and everyday relevance, showing that effectiveness is shaped heavily by category context.
Underfunding campaigns severely limits their true potential. The study revealed two critical budget rules:
Campaigns allocating more than 1% of their total media spend to TikTok see their ROI index increase by 23 percentage points.
When TikTok's share exceeds 20% of the total social media budget, performance improves by 33 percentage points.
Repurposing generic digital assets leaves money on the table. Campaigns utilizing TikTok-dedicated ad creative achieve an average ROI index 48 percentage points higher than those using traditional, repurposed video assets. While TikTok performs across diverse creative themes, narratives focused on celebrities and self-care reached an exceptional 168% average ROI index versus TV and 5% higher ROI index than the social benchmark.
Consistency and sufficient weekly investment unlock stronger reach and frequency.The analysis reveals that optimal weekly spend is on average 31% higher than current execution levels, which translates into a 7% uplift in overall ROI.
Audit your media mix: Treat TikTok as a scalable channel rather than a test allocation. Ensure it is funded according to its potential by aiming to surpass the 1% total media budget and 20% social budget thresholds.
Invest in native creative: Stop recycling traditional TV spots. Build platform-specific video investments that lean into TikTok's native formats, pacing, and user expectations to capture incremental gains.
Align with your specific KPIs: Recognize that effectiveness varies by objective. Tailor your execution specifically for awareness, online sales, or offline sales, as the same brand can observe different ROI across different goals.
Maintain consistent weekly spending: Avoid underfunded, fragmented pacing. Sustain higher continuous weekly execution to boost frequency from an average of 1.83 to 2.19, driving incremental sales.
Note: Effectiveness is not driven by a single "winning" creative formula; brands should experiment with different narratives to identify what drives incremental business impact rather than being constrained to a rigid communication model.
Ultimately, this meta-analysis proves that TikTok's advertising efficiency is not driven by a single factor, but by how the platform is planned, funded, and executed within the broader media mix. Marketers now have a clear, data-backed roadmap to move beyond marginal allocations and harness TikTok for long-term, sustainable business growth.
This analysis reinforces that TikTok's advertising efficiency is not driven by one single factor, but by how the platform is planned, funded, and executed within the broader media mix. For marketers, the implication is that TikTok should be treated as an important, sustained part of the media mix, with investment decisions grounded in category context, campaign objectives, and platform-native execution.