Ravineo Quarterly Market Report
Beverages Influencer Marketing Benchmarks
Paid partnerships and boosts accounted for 7.4% of German Beverages posts, down from 8.3% in the prior quarter, a slip of 0.8 pp. The posts that do carry paid support draw much less interaction than organic ones, with the paid engagement rate sitting well below the organic rate. The more useful finding in Beverages is how unevenly that gap falls across brands: one keeps its paid content almost level with its organic content, while others fall far below it.
- Posts with paid support
- 7.43%
- -0.84 pp on Q2 2026
- Engagement rate
- 2.32% organic
- 0.72% paid
- Top 20 creators
- 11.23%
- of the category's views
- Views with paid support
- 17.69%
- +2.52 pp on Q2 2026
What is a good engagement rate for Beverages content?
For organic Beverages content, about 2.32% marks the line. Paid posts sit at 0.72%, less than a third of that. The brand rows show how unevenly that penalty lands. Monster Energy's paid rate of 3.12% sits almost level with its organic 3.23%, so for this brand paid support barely dents interaction. Vio has the opposite profile. It has the strongest organic rate on the table at 3.37%, after adding 2.02 pp to it on the prior quarter, but its paid posts engage at just 1.08%, the steepest drop of the three. Red Bull falls between them, though its paid rate lost 3.47 pp on a quarter earlier, and Monster Energy's paid rate also slipped over the same period. Monster's near-parity is a real result, but not a stable one.
Engagement rate, organic against paid, Beverages, Germany, Q3 2026
Engagement divided by views across every post scored to the category. Paid covers posts declared as a partnership, sponsored, or boosted.
| Brand | Organic ER | Paid ER |
|---|---|---|
| VVio | 3.37% | 1.08% |
| 3.23% | 3.12% | |
| 2.96% | 1.83% |
Who are the most visible creators in Beverages in Germany?
Engagement varies widely among the most viewed creators. DJ KHALED and Christian Wolf land close together at 1.98% and 1.66%. Dagi breaks from the pair at 0.44%, a fraction of either, despite views in the same range. A rate that low on a large audience can reflect views added through boosting, which grows reach faster than interaction. That reading fits the gap but is not proven by it. Visibility also spreads widely across creators: the 20 most viewed hold 11% of category views, so no small group of creators accounts for most of the attention.
- 1
DJ KHALED@djkhaled79M views1.98% ER - 2
Dagi@dagibee67M views0.44% ER - 3
Christian Wolf@christianwolf42M views1.66% ER
The 20 most viewed creators hold 11.23% of all Beverages views in Germany.
7 more creators in the full reportWhich Beverages posts got the most paid reach?
Public creator posts that brands boosted with Meta ads in Beverages, Germany, Q3 2026, ranked by the paid reach those ads delivered.
7.9M reachTom Döringer@tom_doeringerFeatures Jacobs2 ads
6.3M reachTom Döringer@tom_doeringerFeatures Jacobs1 ad
5.8M reachriccarda greco@riccardagrecoFeatures Jacobs1 ad
Also in the full report
- Timing of BoostingThe median boost starts 4 days after the post goes up.
- Brand Leaderboard20 brands ranked by the public views their creator content earned.
- Paid vs. Earned media20 brands compared on what they bought against what they earned.
How these numbers are measured
- Beverages counts the posts where we detected a named brand's product in this category, not every post on the subject, so it covers part of the creator feed in Germany rather than all of it.
- Ranked by total public views in the category; share is the creator's category views divided by the category total.
- Creators counts everyone whose content for the brand was live in the quarter, matching the Share of Influence dashboard's own gates; views counts what brand-scored content gained inside it, so the two sit on different populations.
- The paid column counts the ads that delivered in the quarter, public and dark together, each ad's reach pro-rated to the days it ran inside it. The organic column counts views the brand's content gained in the same window.
- Product detection improves from quarter to quarter, so part of a quarter over quarter move can come from better detection rather than from the market.
