Volvic social media metrics - SentiCharts by SentiOne

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Volvic

Beverages

#25

0.31

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12/04 – 01/02

Volvic

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

Date	Mentions
Dec 4, 2025	3
Dec 5, 2025	5
Dec 6, 2025	3
Dec 7, 2025	2
Dec 8, 2025	3
Dec 9, 2025	1
Dec 10, 2025	2
Dec 11, 2025	3
Dec 12, 2025	2
Dec 13, 2025	1
Dec 14, 2025	4
Dec 15, 2025	2
Dec 16, 2025	2
Dec 17, 2025	11
Dec 18, 2025	0
Dec 19, 2025	2
Dec 20, 2025	4
Dec 21, 2025	0
Dec 22, 2025	2
Dec 23, 2025	3
Dec 24, 2025	7
Dec 25, 2025	0
Dec 26, 2025	0
Dec 27, 2025	1
Dec 28, 2025	2
Dec 29, 2025	2
Dec 30, 2025	4
Dec 31, 2025	5
Jan 1, 2026	1
Jan 2, 2026	0

12/04 – 01/02

Volvic

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

Sentiment	Mentions	Percent
positive	4	6.06%
negative	9	13.64%
neutral	53	80.3%
total	66	100%

12/04 – 01/02

Volvic

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	11	14.29%
Facebook	2	2.6%
Twitter	58	75.32%
TikTok	6	7.79%

12/04 – 01/02

Volvic

Poor. The result is 0.31.
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Shows the ratio of positive to negative statements in a given time period.

BHI
0.31

12/04 – 01/02

Volvic

12/04 – 01/02

Volvic

~ 70 k Total

200 Positive

~ 7 k Negative

154 Webpages

~ 69 k Social Media

Sources breakdown

– Blogs

– Forums

154 Websites

– Instagram

800 Facebook

– Video

– Reviews

~ 69 k Twitter

10 TikTok

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

Sentiment	Reach
Positive	200
Negative	7000
Total	69598

Source	Reach
Webpages	154
Social Media	69400
Total	69598

Source	Reach
Blogs	–
Forums	–
Websites	154
Instagram	–
Facebook	800
Video	–
Reviews	–
Twitter	68600
TikTok	10

12/04 – 01/02

Volvic

77 Total

4 Positive

9 Negative

24%Up

29%Up

Sources breakdown

– Blogs

– Forums

11 Websites

– Instagram

2 Facebook

– Video

– Reviews

58 Twitter

6 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.