Apart from being able to select streams by view count, high to low and vice versa, why not make a different category for smaller streamers in games to separate from bigger streamers, allowing the smaller streamers to watch among themselves and build up their audience without having to compete for spotlight from bigger viewer capture-ers.

Bence kanal için gayet güzel bir detay oluyordu ufak tefek zararsız kanal hakkın da bilgi veren bir detaydı ve bir çok yayıncı için önemli bir amaç olabilir o toplam izlenme sayısı umarım geri getirilir ki getirilmesi lazım belki de bir çok yayıncının yayın yapma amaçlarından biri de o toplam izlenme sayısı bile olabilir ki ona bakıp motive olan hedef belirleyip hırs yapan da olabilir ki onlar dan birisi de benim umarım toplam izlenme sayısı geri gelir ki gelmesi lazım

It would be cool if twitch provided their streamers with statistics regarding the viewers, a spread of what devices, and resolutions people watch from. Often a layout of a stream, should be optimized for the viewers (It hard to see small text on a phone)

Kanal analizlerinde 60 takipçiye ulaşmama rağmen başarımlarıda 49 da kaldı hesabım lütfen yardım

A ver, no entiendo porque cada x tiempo me quitan dinero de mis analiticas en twitch, si ya me estan quitando la mitad por cada suscripción, donación de bits y anuncios.. Quiero una respuesta !

I think you might want to add a little more info on how to achieve a consistent average viewers number... this so far has been very difficult for me as I stream for 8-10 hours at a time but I am just starting out. My community doesn't want to stay for my whole stream, but they do stay for an hour or two... what can a new creator do to keep viewers cycling in as others leave to deal with life stuff.

It is not possible to know how much we will receive, and how much we have already received. As the estimate is not accurate, it is impossible to know how much to receive. Please improve this, a simple table made in excel can enhance the feature with data already received and in progress. I'm sure many streamers have come here to ask for this.

Essentially it'd be just like stream analytics however it would be the analytics of the VOD after stream, to allow for more insight on when people are watching and stuff like that. I had a stream recently that had 20 or 40 people total, but within 12 hours I had 60+ views on the VOD.

Sugiero arreglar cuanto antes las estadísticas de los creadores que cada día se encuentran con que tienen muchas más views de las que aparecen en las estadísticas y no son bots. Ahora mismo ShunkoDai tiene casi 40 views y le marca 25. Es una verguenza que esto le pase a gente que se esfuerza seriamente en crear contenido cada día y, la verdad, cuesta confiar en una plataforma que manipula los números.

Consiglierei di aggiungere nelle Dashboard la possibilità di vedere i pagamenti in sospeso attesi,sarà molto utile per gli affiliati che non arrivano ogni mese 100$ e quindi non sanno quanti soldi gli mancano ancora per ricevere il pagamento.

Events that populate data on the dashboard like subs, followers, etc. are stored in UTC time but the dashboard itself is done in the users local time, so if I am in UTC -3, I have to wait 3 hours past midnight to view up to date analytics for a channel. It would be great to have the two more streamlined so we can view up to date analytics based on the date we are selecting, not from UTC time.

Twitch stats are lacking in many ways. Instead of implementing their own stat tracking on twitch, they should implement Google Analytics instead.

Be able to actually have the follower account actually not ripping people off and match with twich account

Al menos en mi caso, las estadisticas de mi canal no se han actualizado, por ahora, asi q propongo el boton de actualizar las estadisticas en casos como este

I'd love to be able to see more information on which tags are used and when. For example, am I getting more clicks on "woman" in Outdoor IRL, just chatting, etc? We only see the top 5 but I'd like to be able to see what the top 10 are. This would be super helpful to A/B test.

Plus seeing how those tags perform over time would be incredible. Same with channel overlap and analytics in general. Historical and cyclical performance is helpful particularly year over year.