Sports Shoes Brands

Sports shoes brands online presence

@kaggle.igalbronshtein_sports_shoes_brands

Table List

3 tables(417.72 KB)

Brands

Similarweb

Tiktok

Similarweb

@kaggle.igalbronshtein_sports_shoes_brands.similarweb

40.2 KB
10 rows
53 columns

name Name	site Site	global_rank Global Rank	country_rank Country Rank	category_rank Category Rank	total_visits Total Visits	bounce_rate Bounce Rate	pages_per_visit Pages Per Visit	avg_visit_duration Avg Visit Duration	country1_name Country1 Name	country1_percent Country1 Percent	country2_name Country2 Name	country2_percent Country2 Percent	country3_name Country3 Name	country3_percent Country3 Percent	country4_name Country4 Name	country4_percent Country4 Percent	country5_name Country5 Name	country5_percent Country5 Percent	female Female	male Male	age_18_24 Age 18–24	age_25_34 Age 25–34	age_35_44 Age 35–44	age_45_54 Age 45–54	age_55_64 Age 55–64	age_65_plus Age 65 Plus	marketing_direct Marketing Direct	marketing_referrals Marketing Referrals	marketing_organic_search Marketing Organic Search	marketing_paid_search Marketing Paid Search	marketing_social Marketing Social	marketing_mail Marketing Mail	marketing_display Marketing Display	total_keywords Total Keywords	organic_traffic Organic Traffic	paid_traffic Paid Traffic	referring_websites Referring Websites	publishers Publishers	ad_networks Ad Networks	social_networks_number Social Networks Number	social1_name Social1 Name	social1_percent Social1 Percent	social2_name Social2 Name	social2_percent Social2 Percent	social3_name Social3 Name	social3_percent Social3 Percent	social4_name Social4 Name	social4_percent Social4 Percent	social5_name Social5 Name	social5_percent Social5 Percent	total_outgoing_links Total Outgoing Links	total_technologies Total Technologies
Adidas	adidas.com	1464	371	11	31.5M	49.84	4.85	00:03:01	United States	74.04	United Kingdom	1.06	Canada	0.97	Germany	0.93	Ecuador	0.89	47.97	52.03	17.63	33.48	20.84	15.21	8.42	4.42	39.71	5.55	29.07	13.37	2.22	1.23	8.85	17.4K	68.5	31.5	244	380	14	17	Reddit	31.03	Facebook	22.75	Youtube	20.57	Twitter	15.35	Pinterest	4.28	73	98
ASICS	asics.com	3505	1892	44	14M	44.87	5.61	00:03:34	United States	32.69	Japan	10.61	United Kingdom	5.63	Australia	4.55	Germany	4.4	39.51	60.49	14.8	28.43	20.21	17.96	11.88	6.73	30.94	4.32	41.07	14.1	2.44	1.95	5.19	17.2K	74.44	25.56	151	245	8	16	Reddit	29.46	Youtube	27.98	Facebook	20.27	Pinterest	7.97	Twitter	5.29	67	106
Columbia	columbia.com	9122	1918	93	5.9M	46.15	4.94	00:03:54	United States	85.61	Ukraine	1.84	Canada	1.39	Mexico	1.36	Germany	0.65	53.16	46.84	8.27	26.59	20.82	19.42	16.07	8.83	37.67	1.91	24.65	14.95	4.16	2.57	14.08	6.6K	62.24	37.76	55	94	5	10	Facebook	50.89	Reddit	33.38	Youtube	10.44	Twitter	1.61	Instagram	1.06	35	131
Fila	fila.com	65229	16405	558	775K	55.3	4.32	00:01:47	United States	64.42	Korea, Republic of	4.02	Canada	3.94	Taiwan	1.88	Italy	1.72	55.99	44.01	20.19	30.15	19.59	15.31	9.25	5.52	28.39	1.63	43.66	19.78	2.07	4.17	0.3	1.2K	68.82	31.18	10	1	2	5	Facebook	58.33	Youtube	30.29	Pinterest	5.78	Instagram	5.32	Reddit	0.28	3	70
K-Swiss	kswiss.com	168994	32037	1020	267.1K	44.32	4.09	00:02:57	United States	84.75	Canada	2.79	Jamaica	1.63	United Kingdom	1.62	Argentina	1.04	50.79	49.21	6.77	21.93	23.01	23.83	16.72	7.73	32.14	1.69	38.75	14.08	8.86		4.49	336	73.35	26.65	4	4	4	6	Linkedin	38.93	Facebook	22.31	Youtube	14.12	Discord	8.96	Instagram	7.95	6	84
New Balance	newbalance.com	5241	1165	62	10.7M	41.9	4.37	00:03:01	United States	81.94	Korea, Republic of	1.84	Canada	1.61	India	1.3	Philippines	1.09	48.8	51.2	21.02	31.62	18.75	14.49	9.11	5.01	35.05	1.62	41.08	13.7	2.03	1.17	5.35	12.9K	74.99	25.01	73	111	11	11	Youtube	27.53	Linkedin	22.85	Reddit	13.86	Facebook	13.12	Pinterest	8.83	65	105
Nike	nike.com	231	126	4	150.9M	46.64	4.89	00:03:38	United States	36.06	Korea, Republic of	13.37	United Kingdom	4.91	France	3.2	Japan	2.92	43.09	56.91	19.94	30.32	21.06	15.08	8.82	4.78	45.02	3.34	24.31	12.54	2.38	1.5	10.92	16.5K	65.98	34.02	543	763	27	33	Youtube	40.82	Facebook	29.09	Reddit	7.44	Twitter	6.37	Instagram	4.16	203	92
Puma	puma.com	1697	1851	92	27.4M	44.31	4.94	00:03:11	United States	17.42	India	9.97	Brazil	7.51	Germany	4.65	Argentina	4.62	43.42	56.58	16.6	29.09	20.9	16.99	10.5	5.92	35.46	2.14	28.49	22.49	2.89	1.5	7.03	16.6K	55.89	44.11	119	522	24	14	Facebook	56.34	Youtube	22.89	Instagram	7.6	Pinterest	3.18	Twitter	2.93	67	109
Skechers	skechers.com	3246	650	26	15.3M	46.92	4.81	00:03:12	United States	90.89	Brazil	0.68	United Kingdom	0.56	Colombia	0.53	Peru	0.45	65.53	34.47	6.25	16.39	18.45	19.94	22.56	16.41	36.85	1.56	23.52	16.61	2.79	1.87	16.8	6.7K	58.61	41.39	55	145	15	10	Facebook	72.74	Youtube	12.16	Pinterest	4.25	Reddit	3.95	Linkedin	2.47	28	89
Under Armour	underarmour.com	4976	1132	58	11.8M	48.44	3.83	00:02:39	United States	84.64	India	2.05	Canada	1.57	Mexico	0.86	United Kingdom	0.79	48.54	51.46	11.8	28.2	22.99	19.01	11.63	6.37	41.56	2.51	23.33	17.87	3.57	1.63	9.54	12K	56.64	43.36	89	141	9	11	Facebook	56.52	Linkedin	21.87	Reddit	8.71	Youtube	7.86	Pinterest	2	33	103


CREATE TABLE similarweb (
  "name" VARCHAR,
  "site" VARCHAR,
  "global_rank" BIGINT,
  "country_rank" BIGINT,
  "category_rank" BIGINT,
  "total_visits" VARCHAR,
  "bounce_rate" DOUBLE,
  "pages_per_visit" DOUBLE,
  "avg_visit_duration" VARCHAR,
  "country1_name" VARCHAR,
  "country1_percent" DOUBLE,
  "country2_name" VARCHAR,
  "country2_percent" DOUBLE,
  "country3_name" VARCHAR,
  "country3_percent" DOUBLE,
  "country4_name" VARCHAR,
  "country4_percent" DOUBLE,
  "country5_name" VARCHAR,
  "country5_percent" DOUBLE,
  "female" DOUBLE,
  "male" DOUBLE,
  "age_18_24" DOUBLE,
  "age_25_34" DOUBLE,
  "age_35_44" DOUBLE,
  "age_45_54" DOUBLE,
  "age_55_64" DOUBLE,
  "age_65_plus" DOUBLE,
  "marketing_direct" DOUBLE,
  "marketing_referrals" DOUBLE,
  "marketing_organic_search" DOUBLE,
  "marketing_paid_search" DOUBLE,
  "marketing_social" DOUBLE,
  "marketing_mail" DOUBLE,
  "marketing_display" DOUBLE,
  "total_keywords" VARCHAR,
  "organic_traffic" DOUBLE,
  "paid_traffic" DOUBLE,
  "referring_websites" BIGINT,
  "publishers" BIGINT,
  "ad_networks" BIGINT,
  "social_networks_number" BIGINT,
  "social1_name" VARCHAR,
  "social1_percent" DOUBLE,
  "social2_name" VARCHAR,
  "social2_percent" DOUBLE,
  "social3_name" VARCHAR,
  "social3_percent" DOUBLE,
  "social4_name" VARCHAR,
  "social4_percent" DOUBLE,
  "social5_name" VARCHAR,
  "social5_percent" DOUBLE,
  "total_outgoing_links" BIGINT,
  "total_technologies" BIGINT
);