Vittel social media metrics - SentiCharts by SentiOne

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Vittel

Beverages

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05/02 – 05/31

Vittel

Shows the number of mentions a topic has received over time.

Date	Mentions
May 2, 2025	1
May 3, 2025	0
May 4, 2025	1
May 5, 2025	0
May 6, 2025	0
May 7, 2025	5
May 8, 2025	6
May 9, 2025	1
May 10, 2025	1
May 11, 2025	0
May 12, 2025	0
May 13, 2025	2
May 14, 2025	1
May 15, 2025	1
May 16, 2025	2
May 17, 2025	0
May 18, 2025	0
May 19, 2025	17
May 20, 2025	2
May 21, 2025	1
May 22, 2025	0
May 23, 2025	3
May 24, 2025	0
May 25, 2025	0
May 26, 2025	2
May 27, 2025	1
May 28, 2025	0
May 29, 2025	2
May 30, 2025	1
May 31, 2025	0

05/02 – 05/31

Vittel

Shows all of the mentions divided by sentiment: positive, neutral, negative.

Sentiment	Mentions	Percent
positive	0	0%
negative	0	0%
neutral	18	100%
total	18	100%

05/02 – 05/31

Vittel

Shows the ratio between source types for a given project. The source types are as follows: Facebook, Instagram, video, Twitter, blogs, websites, reviews, forums.

Source	Mentions	Percent
Websites	32	64%
Instagram	2	4%
Twitter	16	32%

05/02 – 05/31

Vittel

Bad. The result is 0.00.
It seems your brand needs help. Order an in-depth report to understand your brand’s negative perception.

Shows the ratio of positive to negative statements in a given time period.

BHI
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05/02 – 05/31

Vittel

05/02 – 05/31

Vittel

~ 8 k Total

0 Positive

0 Negative

~ 3 k Webpages

~ 5 k Social Media

Sources breakdown

– Blogs

– Forums

~ 3 k Websites

10 Instagram

– Facebook

– Video

– Reviews

~ 5 k Twitter

– TikTok

Displays the reach of all results found within a given project, divided by sentiment and sources.

Sentiment	Reach
Positive	0
Negative	0
Total	7926

Source	Reach
Webpages	2906
Social Media	5027
Total	7926

Source	Reach
Blogs	–
Forums	–
Websites	2906
Instagram	10
Facebook	–
Video	–
Reviews	–
Twitter	5017
TikTok	–

05/02 – 05/31

Vittel

50 Total

0 Positive

0 Negative

25%Up

Sources breakdown

– Blogs

– Forums

32 Websites

2 Instagram

– Facebook

– Video

– Reviews

16 Twitter

– TikTok

An overview of all of the results found for a given project. Aside from showing the total number of mentions, their sentiment, and their source share, it shows how the results have shifted compared to the previous period. Sentiment detection is based on the proprietary algorithm provided by SentiOne.