Vittel social media metrics - SentiCharts by SentiOne

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Vittel

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02/24 – 03/25

Vittel

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

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

02/24 – 03/25

Vittel

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

Sentiment	Mentions	Percent
positive	0	0%
negative	1	16.67%
neutral	5	83.33%
total	6	100%

02/24 – 03/25

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	22	78.57%
Facebook	1	3.57%
Twitter	5	17.86%

02/24 – 03/25

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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02/24 – 03/25

Vittel

02/24 – 03/25

Vittel

~ 7 k Total

0 Positive

900 Negative

838 Webpages

~ 6 k Social Media

Sources breakdown

– Blogs

– Forums

838 Websites

– Instagram

900 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	900
Total	6709

Source	Reach
Webpages	838
Social Media	5900
Total	6709

Source	Reach
Blogs	–
Forums	–
Websites	838
Instagram	–
Facebook	900
Video	–
Reviews	–
Twitter	5000
TikTok	–

02/24 – 03/25

Vittel

28 Total

0 Positive

1 Negative

21%Down

Sources breakdown

– Blogs

– Forums

22 Websites

– Instagram

1 Facebook

– Video

– Reviews

5 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.