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Draven
Google review (SL) , 6 months ago
Most social listening tools are tuned for English.
Automated social listening platforms have mature sentiment models for English and a handful of major European languages. For everything else, raw scoring is unreliable, and the nuance that drives commercial decisions (slang, sarcasm, cultural references) is missed entirely. International brands monitoring in English-only miss the majority of the conversation that actually shapes purchase decisions in their target markets.
Native-speaking analysts read the actual posts, threads, and comments in their original language so the sentiment scoring and context summaries reflect what local audiences really mean.
Coverage spans Facebook, Instagram, X, LinkedIn, TikTok, YouTube, and Reddit in 50+ languages. We confirm platform and language scope during onboarding based on your active markets.
Automated sentiment scoring in non-English languages is unreliable. Our analysts review flagged content to determine true sentiment and business relevance for each market.
We track your competitors' mentions alongside your own, benchmarking share of voice by market so you can identify where rivals are gaining or losing ground.
Sprout Social research points to a clear gap between monitoring audience conversations and turning those signals into action.
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Google review (SL) , 6 months ago
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Google review (SL) , a year ago
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Google review (FR) , 2 years ago
Monitoring covers the major global social platforms: Facebook, Instagram, X, LinkedIn, TikTok, YouTube, and Reddit, in 50+ languages. We do not directly monitor region-locked platforms such as Weibo, WeChat, VKontakte, Naver, Line, or Xing. For programs that need those platforms, we recommend a specialist local listening tool or agency.
Commercial social listening platforms have mature sentiment models for English and a small number of major European languages. For languages such as Japanese, Arabic, Korean, and most Southeast Asian languages, automated sentiment scoring is unreliable. Our approach uses automated tools for volume monitoring and keyword flagging, with native-speaking analysts reviewing flagged content to score sentiment accurately and identify context that automated tools would misclassify.
Alert thresholds are set during onboarding for each market. A spike in mention volume, a shift in sentiment score, or the appearance of defined alert keywords triggers a quick notification to your designated contact during active monitoring. For markets where your team does not speak the local language, the alert includes a translated summary of the flagged content and a brief context note from our analyst. Decisions on official response remain with your in-house communications team.
Send us your social listening brief and target markets. We will match native specialists, confirm scope, and return a clear plan as quickly as possible.