Global gaming is on the rise, and gaming audiences are becoming more diverse than ever. In 2021, video gaming became a $125.6B global industry, with an estimated 3.24B gamers around the world (Statista).
To help you gain a more complete understanding of your global audiences, Spiketrap continuously innovates in order to provide deeper analysis of conversations taking place across an expanding number of languages.
Updates to Language-Specific Insights
With our latest release, we now provide analytics for 13 languages across social channels, as well as streaming metrics for all Twitch and YouTube supported languages. See more details on the available language-specific insights below.
Sentiment & Engagement Available for 13 Languages
Sentiment and Engagement metrics are now available across all channels for a total of 13 languages, including newly updated support for:
Spiketrap Sentiment measures the prevalence of positive, neutral, and negative content within a given dataset. Engagement shows the number of interactions across non-streaming sources.
Notably, this release marks our first sentiment support for non-roman alphabets and the APAC market, which is the largest worldwide with nearly 1.48 billion gamers (Statista). This allows developers to have a more holistic understanding of their gaming communities across North America, Europe, and Asia.
Custom Reports Available for 6 Languages
Custom Reports can now be pulled for the following languages: French, German, Italian, Portuguese, and Spanish (launched in beta). Full support for English-specific Custom Reports is also available.
Custom Reports allow users to run queries and find specific terms within the conversations surrounding a particular Spiketrap Monitor, stream, or influencer. Learn more about our Custom Reporting feature.
Accurate Sentiment for All Languages
Spiketrap metrics have high accuracy ratings, regardless of language. Accurate attribution is powered by our Clair AI and expansive gaming knowledge graph, which are highly-trained to understand the nuances of communities, which vary by region and language.
For instance, while some game titles are universal, some vary by region, as is the case with Animal Crossing, which is known as Dōbutsu no Mori+ in Japanese. Thanks to our knowledge graph, our AI is able to identify and attribute these language specific variations, powering accurate global insights.