ʻO nā kūlanakauhale ʻoi loa i ʻOkakopa: Ka noiʻi ʻana i ka Event Index

Hoʻokomo nā hanana i nā miliona o ka poʻe i nā tausani o nā wahi koʻikoʻi i kēlā me kēia pule, no laila pono nā ʻoihana a me nā alakaʻi kaiāulu e hoʻomākaukau no kā lākou hopena. Hōʻike ka noiʻi hou he 32 mau kūlanakauhale nui o ʻAmelika e ʻike i ka hopena hanana kiʻekiʻe ma ʻOkakopa.

ʻO ka papa kuhikuhi hanana hanana ʻOkakopa 2022 hōʻike ʻo 32 mau kūlanakauhale e pono e hoʻomākaukau no nā hebedoma paʻa ʻole e like me nā liona haʻuki nui, expos a me nā ʻoliʻoli e hoʻokau i nā miliona o nā kānaka i nā kūlanakauhale ma ʻAmelika. E ʻike ʻo Detroit, Dallas, San Diego a me Tucson i nā piʻi nui loa o ka neʻe ʻana o ka poʻe a me ke koi e hoʻopuka nei, akā hiki i nā kūlanakauhale o nā ʻano like ʻole a pau, mai Albuquerque a hiki i New York City, hiki ke hoʻomākaukau no nā piʻi koi e hiki mai ana i hana ʻia e nā hanana. ma ka hoike a PredictHQ.

Ua ʻike ʻia kēia mau kūlanakauhale 32 me ka hoʻohana ʻana i ka PredictHQ Event Index: kahi algorithm kūʻokoʻa i kēlā me kēia kūlanakauhale e ʻike i ka hopena o nā hanana e hiki mai ana, e hoʻohālikelike ʻia me nā makahiki ʻelima o ka ʻikepili hanana mua. Hāʻawi ia i ka helu ma waho o 20 i kēlā me kēia pule i kēlā me kēia kūlanakauhale, me nā mea ʻoi aku ma mua o 15 ʻoi aku ka kiʻekiʻe o ka hanana hanana, a ma lalo o 8 ʻoi aku ka haʻahaʻa ma mua o ka awelika.

ʻOi aku ka hana o ʻOkakopa 2022 ma mua o Kepakemapa (he mahina hoʻopaʻa moʻolelo), ke loaʻa iā 32 o nā kūlanakauhale i hahai ʻia he 63 ma kahi o hoʻokahi pule o 15+ ma muli o ka hana hanana kiʻekiʻe. ʻOi aku ma mua o ka hapalua o kēia mau kūlanakauhale e ʻike i ka hopena hanana kiʻekiʻe no nā pule he nui, e like me New York kahi hana hanana kiʻekiʻe loa no nā pule e hoʻomaka ana i ʻOkakopa 2 a me ʻOkakopa 23, a me Las Vegas no kēlā me kēia pule i ʻOkakopa.

Hoʻokumu ʻia ka noiʻi e PredictHQ, ka hui noiʻi noiʻi. Hoʻohana nā ʻoihana e like me Uber, Accor Hotels a me Domino's Pizza i ka ʻikepili hanana akamai o PredictHQ e wānana i ka koi me ka pololei. Me nā hanana ʻoi aku ma mua o 8,210 me 2,500+ poʻe i hele mai ma ʻAmelika Hui Pū ʻIa i ʻOkakopa, hiki i nā ʻoihana ke hoʻopili i ka neʻe ʻana o ka poʻe a me nā piliona kālā no ke koi ʻana i kēia mau hanana. He ʻoiaʻiʻo loa kēia no nā kūlanakauhale e ʻike nei i nā wā kiʻekiʻe a haʻahaʻa paha, ua kikoʻī ʻia nā mea āpau i kēia hōʻike hou.

"He mahina nui ʻo ʻOkakopa no nā ʻoihana ʻike hanana. Ke hoʻomaka nei kekahi mau liona haʻuki nui, akā aia kekahi piʻi nui i nā hōʻike nui a me nā ʻoliʻoli kaiāulu e like me Oktoberfest a me nā hanana 370+ Halloween ma ka ʻāina, "i ʻōlelo ai ʻo PredictHQ CEO Campbell Brown. "ʻO nā ʻoihana ʻike e pili ana i nā hanana koʻikoʻi ma kahi kokoke iā lākou e hiki ke hele i mua o ke komo ʻana o nā mea kūʻai aku, e hōʻoia i ka lawa ʻana o nā limahana, inventory a me nā makana kūpono e hana i ka hapa nui o kēia mau koi koi."

ʻO nā kūlanakauhale me nā helu kiʻekiʻe o ka Event Index a no laila ʻo ka mea i hoʻopilikia nui ʻia e nā hanana:

  • Bakersfield: 17.4 ka pule o ʻOkakopa 16
  • Boston: 17.2 ka pule o ʻOkakopa 2, a me 16+ mai ʻOkakopa 16-30
  • Kikako: 17 ka pule o ʻOkakopa 9
  • Nā Punawai Colorado: 16.1 pule o ʻOkakopa 2, a laila 17.6 mai ʻOkakopa 9
  • Dallas: 17.6 pule o ʻOkakopa 2 a me 16.07 mai ʻOkakopa 30
  • Denver: 17.4 ka pule o ʻOkakopa 9
  • Detroit: 18.9 ka pule o ʻOkakopa 16
  • El Paso: 17.1 ka pule o ʻOkakopa 10
  • Papu Pono: 17+ mai ʻOkakopa 2-16
  • Jacksonville: 17.4 ka pule o ʻOkakopa 9, a me 16.7 ka pule o ʻOkakopa 23
  • Las Vegas: 16.7-17.7 no ka mahina holoʻokoʻa
  • New Orleans: 16 no ʻOkakopa 9, a me 17.1 no ʻOkakopa 16
  • New York: 16.2 ka pule o ʻOkakopa 2, a me 16.7 pule o ʻOkakopa 23
  • Orlando: 17.5 ka pule o ʻOkakopa 16
  • Sacramento: 17.4 ka pule o ʻOkakopa 2, a me 16.4 ma ʻOkakopa 9
  • Salt Lake City: 17.4 ka pule o ʻOkakopa 9
  • San Diego: 18.8 pule o ʻOkakopa 2 a me 16.1 pule o ʻOkakopa 9
  • San Jose: 17.5 ka pule o ʻOkakopa 16
  • Seattle: 17.2 pule o ʻOkakopa 2
  • Tucson: 17.8 pule o ʻOkakopa 2
  • E heluhelu i ka papa inoa piha o nā pule kiʻekiʻe no nā kūlanakauhale 32 i ka hōʻike

Hoʻokumu ʻia kēia mau helu e kahi kumu hoʻohālike kūʻokoʻa i hoʻohana ʻia i kēlā me kēia o nā kūlanakauhale nui loa o ʻAmelika Hui Pū ʻIa he 63, i helu ʻia no kēlā me kēia hanana hanana kumu o kēlā me kēia kūlanakauhale ma muli o ʻelima mau makahiki o ka mōʻaukala, ka ʻikepili hanana i hōʻoia ʻia a me nā miliona o nā hanana i kēlā me kēia wahi. No ka laʻana, ʻo ka helu o ka 18 ma New York City e pili ana i nā miliona o ka poʻe e neʻe ana a puni ke kūlanakauhale, akā ʻo ka helu o 18 ma Wichita, Kansas e pili wale ana ma luna o 100,000 poʻe.

Hoʻopaʻa ʻo PredictHQ i nā ʻano hanana 19 ma ka honua holoʻokoʻa, me nā hanana e pili ana i ka hele ʻana e like me nā ʻaha mele a me nā haʻuki; ʻO nā hanana pili ʻole e like me nā lā hoʻomaha kula a me nā lā kula, a me nā hanana i hoʻopaʻa ʻole ʻia e like me nā hanana ʻino koʻikoʻi. He mea koʻikoʻi kēia ākea o ka uhi ʻana o ka hanana no ka Event Index, no ka mea, ʻo nā wiki kiʻekiʻe ke kumu o nā hanana nui a liʻiliʻi.

ʻOiai ke hāʻawi nei ka Event Index i kahi nānā pololei i mua o ka neʻe ʻana o ka poʻe, ua hoʻolālā ʻia ia e lilo i hōʻuluʻulu maʻalahi a hiki ke loaʻa i nā noi noiʻi PredictHQ hāʻawi - no nā hui nui e hana ana ma ka honua holoʻokoʻa. Hoʻohana nā alakaʻi ʻoihana i ka noi, ka noho ʻana, ka QSR a me ka halihali ʻana i ka ʻikepili hanana i hōʻoia ʻia a hoʻonui ʻia e PredictHQ e hoʻomaopopo i nā hoʻoholo o nā limahana, nā kumukūʻai a me nā hoʻolālā waiwai, a me nā hoʻoholo ʻoihana ʻē aʻe he nui.

No ka 'ike hou aku ma PredictHQ e kipa www.predicthq.com.

E pili ana iā PredictHQ

ʻO PredictHQ, ka hui noiʻi noiʻi, hāʻawi i nā hui honua e kali i nā loli i ka noi no kā lākou huahana a me nā lawelawe ma o ka ʻikepili hanana naʻauao. Hōʻuluʻulu ʻo PredictHQ i nā hanana mai 350+ kumu a hōʻoia, hoʻonui, a hoʻonohonoho iā lākou e ka hopena wānana i hiki i nā hui ke ʻike koke i nā catalysts e hopena i ka noi.

He aha e lawe ʻia mai kēia ʻatikala:

  • These scores are generated by a unique model applied to each of the 63 most populous US cities, calculated for each city’s baseline event activity based on five years of historical, verified event data and millions of events per location.
  • For example, a score of an 18 in New York City will entail millions of people moving about the city, whereas a score of 18 in Wichita, Kansas will involve just over 100,000 people.
  • “Businesses that know about impactful events near them can get ahead of the influx of customers, making sure they have enough staff, inventory and the right offerings to make the most of these demand surges.

No ka mea kākau

Avatar o Dmytro Makarov

ʻO Dmytro Makarov

kakau
E hoʻomaopopo i
malihini
0 Comments
Nā ʻōlelo Hoʻohui Kūʻai
E nānā i nā ʻōlelo āpau
0
E aloha nui i kou mau manaʻo, e ʻoluʻolu.x
()
x
Kaʻana like i...