Vittel social media metrics - SentiCharts by SentiOne

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Vittel

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06/27 – 07/26

Vittel

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

Date	Mentions
Jun 27, 2024	1
Jun 28, 2024	0
Jun 29, 2024	0
Jun 30, 2024	0
Jul 1, 2024	0
Jul 2, 2024	1
Jul 3, 2024	1
Jul 4, 2024	1
Jul 5, 2024	0
Jul 6, 2024	0
Jul 7, 2024	0
Jul 8, 2024	4
Jul 9, 2024	0
Jul 10, 2024	0
Jul 11, 2024	0
Jul 12, 2024	1
Jul 13, 2024	0
Jul 14, 2024	1
Jul 15, 2024	2
Jul 16, 2024	4
Jul 17, 2024	2
Jul 18, 2024	1
Jul 19, 2024	2
Jul 20, 2024	4
Jul 21, 2024	4
Jul 22, 2024	3
Jul 23, 2024	31
Jul 24, 2024	67
Jul 25, 2024	3
Jul 26, 2024	3

06/27 – 07/26

Vittel

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

Sentiment	Mentions	Percent
positive	0	0%
negative	2	14.29%
neutral	12	85.71%
total	14	100%

06/27 – 07/26

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	122	89.71%
Twitter	14	10.29%

06/27 – 07/26

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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06/27 – 07/26

Vittel

06/27 – 07/26

Vittel

~ 47 k Total

0 Positive

70 Negative

~ 30 k Webpages

~ 17 k Social Media

Sources breakdown

– Blogs

– Forums

~ 30 k Websites

– Instagram

– Facebook

– Video

– Reviews

~ 17 k Twitter

– TikTok

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

Sentiment	Reach
Positive	0
Negative	70
Total	47434

Source	Reach
Webpages	30388
Social Media	17046
Total	47434

Source	Reach
Blogs	–
Forums	–
Websites	30388
Instagram	–
Facebook	–
Video	–
Reviews	–
Twitter	17046
TikTok	–

06/27 – 07/26

Vittel

136 Total

0 Positive

2 Negative

467%Up

Sources breakdown

– Blogs

– Forums

122 Websites

– Instagram

– Facebook

– Video

– Reviews

14 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.