Vittel social media metrics - SentiCharts by SentiOne

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Vittel

Beverages

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11/18 – 12/17

Vittel

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

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

11/18 – 12/17

Vittel

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

Sentiment	Mentions	Percent
positive	0	0%
negative	0	0%
neutral	3	100%
total	3	100%

11/18 – 12/17

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	26	89.66%
Twitter	2	6.9%
TikTok	1	3.45%

11/18 – 12/17

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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11/18 – 12/17

Vittel

11/18 – 12/17

Vittel

~ 6 k Total

0 Positive

0 Negative

~ 5 k Webpages

200 Social Media

Sources breakdown

– Blogs

– Forums

~ 5 k Websites

– Instagram

– Facebook

– Video

– Reviews

200 Twitter

10 TikTok

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

Sentiment	Reach
Positive	0
Negative	0
Total	5623

Source	Reach
Webpages	5408
Social Media	200
Total	5623

Source	Reach
Blogs	–
Forums	–
Websites	5408
Instagram	–
Facebook	–
Video	–
Reviews	–
Twitter	200
TikTok	10

11/18 – 12/17

Vittel

29 Total

0 Positive

0 Negative

53%Up

Sources breakdown

– Blogs

– Forums

26 Websites

– Instagram

– Facebook

– Video

– Reviews

2 Twitter

1 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.