Vittel social media metrics - SentiCharts by SentiOne

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Vittel

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07/06 – 08/04

Vittel

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

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

07/06 – 08/04

Vittel

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

Sentiment	Mentions	Percent
positive	0	0%
negative	1	12.5%
neutral	7	87.5%
total	8	100%

07/06 – 08/04

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	16	66.67%
Instagram	2	8.33%
Twitter	6	25%

07/06 – 08/04

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
0.00

07/06 – 08/04

Vittel

07/06 – 08/04

Vittel

~ 3 k Total

0 Positive

100 Negative

~ 3 k Webpages

210 Social Media

Sources breakdown

– Blogs

– Forums

~ 3 k Websites

10 Instagram

– Facebook

– Video

– Reviews

200 Twitter

– TikTok

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

Sentiment	Reach
Positive	0
Negative	100
Total	3140

Source	Reach
Webpages	2892
Social Media	210
Total	3140

Source	Reach
Blogs	–
Forums	–
Websites	2892
Instagram	10
Facebook	–
Video	–
Reviews	–
Twitter	200
TikTok	–

07/06 – 08/04

Vittel

24 Total

0 Positive

1 Negative

9%Up

100%Down

Sources breakdown

– Blogs

– Forums

16 Websites

2 Instagram

– Facebook

– Video

– Reviews

6 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.