Vittel social media metrics - SentiCharts by SentiOne

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Vittel

Beverages

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10/22 – 11/20

Vittel

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

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

10/22 – 11/20

Vittel

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

Sentiment	Mentions	Percent
positive	0	0%
negative	0	0%
neutral	7	100%
total	7	100%

10/22 – 11/20

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	24	80%
Twitter	6	20%

10/22 – 11/20

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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10/22 – 11/20

Vittel

10/22 – 11/20

Vittel

~ 16 k Total

0 Positive

0 Negative

~ 14 k Webpages

~ 3 k Social Media

Sources breakdown

– Blogs

– Forums

~ 14 k Websites

– Instagram

– Facebook

– Video

– Reviews

~ 3 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	16328

Source	Reach
Webpages	13628
Social Media	3000
Total	16328

Source	Reach
Blogs	–
Forums	–
Websites	13628
Instagram	–
Facebook	–
Video	–
Reviews	–
Twitter	3000
TikTok	–

10/22 – 11/20

Vittel

30 Total

0 Positive

0 Negative

3%Up

Sources breakdown

– Blogs

– Forums

24 Websites

– 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.