Why Writing Songs in Your Native Language Outperforms English

There's a default assumption among non-native English speakers using AI music tools: write in English, because English has the biggest audience. It's a reasonable assumption. It's also wrong.

The data across Donna's user base — and across streaming platforms more broadly — consistently shows that songs written in the user's native language outperform their English-language attempts. Not by a small margin. By multiples.

This post is about why that's true and what to do with it.

The Intuition That's Backwards

The assumption that English maximizes reach made sense ten years ago. Streaming platforms were dominated by English-language hits, the algorithm was relatively crude, and the path to a global audience seemed to run through English.

That world is gone. Streaming platforms now serve listeners by language affinity at least as much as by genre. A Spanish-language listener in Mexico City, Buenos Aires, or Madrid gets recommended Spanish-language songs first, regardless of where the artist is based. A Portuguese listener in Brazil gets Brazilian Portuguese. A Turkish listener gets Turkish.

The algorithm isn't optimizing for global reach. It's optimizing for the listener in front of it. And the listener in front of it almost always prefers their own language for music, even if they speak English fluently.

The implication is uncomfortable for the English-default assumption: writing in English doesn't expand your audience. It puts you in competition with every English-language song on earth, where you're a small fish, instead of competing in your native language, where you might be a significant one.

The Data, in Plain Terms

When Donna users who are native Spanish, Portuguese, or other non-English speakers compare their English-language songs to their native-language songs, three things tend to happen.

• Plays go up — often by a factor of two or three, sometimes more. The native-language song is reaching listeners who are actually inclined to listen.
• Save-rate goes up by even more. This is the more important number. Saves are the algorithm's signal that a song matters to a listener. Native-language songs are saved at much higher rates because the lyric actually resonates — the listener understands the words and the cultural context behind them.
• Comments go up by the most of all. People comment on songs they connect to. They almost never comment on songs in a language they only half-understand. Native-language songs build the kind of audience that engages, which compounds over time.

Why Native-Language Lyrics Hit Harder

The mechanical reason: a native speaker has access to layers of meaning, sound, and cultural reference in their own language that they don't have in a second language. A Spanish songwriter writing in Spanish can use a regional word, a cultural reference, a rhythm of speech that lands instantly with another Spanish speaker. The same songwriter writing in English has to operate in a more limited vocabulary and a less embodied feel for the language.

The result, almost always, is that the native-language song is more specific, more textured, and more alive. It sounds like a person. The English-language version, no matter how technically correct, often sounds like a translation — because, internally, it is one.

Specificity wins in lyrics. Native language is a shortcut to specificity.

The Counterargument, and Where It Breaks

The most common counterargument is that writing in English is necessary for international success. There's a kernel of truth here — some artists do break globally with English-language songs. But the path to that outcome almost never starts with writing in English from day one. It usually goes the other direction: an artist builds an audience in their native language, gets large enough to attract international attention, and then either continues in their native language (Bad Bunny, Rosalía, Stromae) or starts releasing English-language songs from a position of strength.

Skipping the native-language step rarely produces the international success it promises. It produces obscurity in both languages.

What to Do in Donna

If you've been writing in English by default and your native language is something else, try the same prompt in both languages and compare. Three things to notice:

• Which version sounds more like you. The native-language version usually does. The English version, no matter how careful, tends to sound a half-step formal or stiff.
• Which version uses more specific imagery. Native-language writing produces specifics almost involuntarily. English-as-second-language writing tends toward general statements because the specifics are harder to find.
• Which version makes you feel something when you listen back. This is the test that matters. If your own song doesn't move you in English but does in your native language, your listeners will have the same experience.

You don't have to abandon English permanently. Some songs are right for English — particularly if you have a strong English-speaking audience already, or if the song's subject matter is genuinely tied to English-language context. But the default should flip. Native language first. English when there's a specific reason.

The Bigger Point

The internet's first decade promoted a single global culture in a single language. The internet's current decade is fragmenting back into language and regional communities, and the algorithms are following. The artists who thrive in this version of the internet are the ones who serve a specific audience deeply rather than a global audience shallowly.

If your native language is Spanish, Portuguese, Turkish, French, German, Italian, or anything other than English — write in that language first. The audience is there. The algorithm will find them. And the songs you write in your own language will be better than the ones you wrote pretending to be a native English speaker.