IKEA social media metrics - SentiCharts by SentiOne

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IKEA

E-commerce

#32

0.53

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03/30 – 04/28

IKEA

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

Date	Mentions
Mar 30, 2024	1
Mar 31, 2024	3
Apr 1, 2024	6
Apr 2, 2024	7
Apr 3, 2024	2
Apr 4, 2024	4
Apr 5, 2024	3
Apr 6, 2024	1
Apr 7, 2024	3
Apr 8, 2024	3
Apr 9, 2024	2
Apr 10, 2024	3
Apr 11, 2024	2
Apr 12, 2024	8
Apr 13, 2024	7
Apr 14, 2024	2
Apr 15, 2024	0
Apr 16, 2024	4
Apr 17, 2024	1
Apr 18, 2024	2
Apr 19, 2024	1
Apr 20, 2024	0
Apr 21, 2024	1
Apr 22, 2024	3
Apr 23, 2024	1
Apr 24, 2024	1
Apr 25, 2024	0
Apr 26, 2024	1
Apr 27, 2024	1
Apr 28, 2024	0

03/30 – 04/28

IKEA

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

Sentiment	Mentions	Percent
positive	9	14.06%
negative	8	12.5%
neutral	47	73.44%
total	64	100%

03/30 – 04/28

IKEA

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
Blogs	1	1.37%
Forums	45	61.64%
Websites	12	16.44%
Instagram	13	17.81%
Facebook	2	2.74%

03/30 – 04/28

IKEA

Mediocre. The result is 0.53.
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Shows the ratio of positive to negative statements in a given time period.

BHI
0.53

03/30 – 04/28

IKEA

03/30 – 04/28

IKEA

~ 37 k Total

~ 9 k Positive

913 Negative

~ 21 k Webpages

~ 16 k Social Media

Sources breakdown

152 Blogs

~ 5 k Forums

~ 16 k Websites

~ 13 k Instagram

~ 3 k Facebook

– Video

– Reviews

– Twitter

– TikTok

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

Sentiment	Reach
Positive	9144
Negative	913
Total	36914

Source	Reach
Webpages	20941
Social Media	15973
Total	36914

Source	Reach
Blogs	152
Forums	4831
Websites	15958
Instagram	12786
Facebook	3187
Video	–
Reviews	–
Twitter	–
TikTok	–

03/30 – 04/28

IKEA

73 Total

9 Positive

8 Negative

22%Down

700%Up

Sources breakdown

1 Blogs

45 Forums

12 Websites

13 Instagram

2 Facebook

– Video

– Reviews

– 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.