Vittel social media metrics - SentiCharts by SentiOne

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Vittel

Beverages

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12/22 – 01/20

Vittel

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

Date	Mentions
Dec 22, 2024	0
Dec 23, 2024	2
Dec 24, 2024	1
Dec 25, 2024	0
Dec 26, 2024	1
Dec 27, 2024	1
Dec 28, 2024	0
Dec 29, 2024	0
Dec 30, 2024	1
Dec 31, 2024	0
Jan 1, 2025	1
Jan 2, 2025	0
Jan 3, 2025	0
Jan 4, 2025	0
Jan 5, 2025	0
Jan 6, 2025	4
Jan 7, 2025	0
Jan 8, 2025	3
Jan 9, 2025	2
Jan 10, 2025	4
Jan 11, 2025	0
Jan 12, 2025	0
Jan 13, 2025	0
Jan 14, 2025	1
Jan 15, 2025	1
Jan 16, 2025	1
Jan 17, 2025	1
Jan 18, 2025	2
Jan 19, 2025	0
Jan 20, 2025	1

12/22 – 01/20

Vittel

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

Sentiment	Mentions	Percent
positive	0	0%
negative	0	0%
neutral	2	100%
total	2	100%

12/22 – 01/20

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	25	92.59%
Twitter	2	7.41%

12/22 – 01/20

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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12/22 – 01/20

Vittel

12/22 – 01/20

Vittel

~ 81 k Total

0 Positive

0 Negative

~ 7 k Webpages

~ 70 k Social Media

Sources breakdown

– Blogs

– Forums

~ 7 k Websites

– Instagram

– Facebook

– Video

– Reviews

~ 70 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	81256

Source	Reach
Webpages	7175
Social Media	70000
Total	81256

Source	Reach
Blogs	–
Forums	–
Websites	7175
Instagram	–
Facebook	–
Video	–
Reviews	–
Twitter	70000
TikTok	–

12/22 – 01/20

Vittel

27 Total

0 Positive

0 Negative

70%Down

Sources breakdown

– Blogs

– Forums

25 Websites

– Instagram

– Facebook

– Video

– Reviews

2 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.