tchibo social media metrics - SentiCharts by SentiOne

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tchibo

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#27

0.33

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06/19 – 07/18

tchibo

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

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

06/19 – 07/18

tchibo

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

Sentiment	Mentions	Percent
positive	1	3.23%
negative	2	6.45%
neutral	28	90.32%
total	31	100%

06/19 – 07/18

tchibo

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	10	24.39%
Instagram	2	4.88%
Facebook	3	7.32%
Twitter	26	63.41%

06/19 – 07/18

tchibo

Poor. The result is 0.33.
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Shows the ratio of positive to negative statements in a given time period.

BHI
0.33

06/19 – 07/18

tchibo

06/19 – 07/18

tchibo

~ 4 k Total

50 Positive

300 Negative

683 Webpages

~ 3 k Social Media

Sources breakdown

– Blogs

– Forums

683 Websites

10 Instagram

400 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	50
Negative	300
Total	4000

Source	Reach
Webpages	683
Social Media	3305
Total	4000

Source	Reach
Blogs	–
Forums	–
Websites	683
Instagram	10
Facebook	400
Video	–
Reviews	–
Twitter	2895
TikTok	–

06/19 – 07/18

tchibo

41 Total

1 Positive

2 Negative

24%Down

400%Down

200%Down

Sources breakdown

– Blogs

– Forums

10 Websites

2 Instagram

3 Facebook

– Video

– Reviews

26 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.