He aha ke kūʻai aku wānana?

mākeke wānana

ʻO nā poʻomanaʻo kumu o ke kūʻai aku ʻana i ka hōkeoʻikepili hiki iā ʻoe ke kālailai a helu i kahi o nā prospect e pili ana i kā lākou like me kāu mea kūʻai aku maoli. ʻAʻole ia he kahua hou; hoʻohana mākou i ka ʻikepili no kekahi mau makahiki i kēia manawa e hana i kēia. Eia naʻe, grueling ke kaʻina. Ua hoʻohana mākou i nā mea hana extract, transformation and load (ETL) e huki i ka ʻikepili mai nā kumuwaiwai he nui e kūkulu i kahi kumuwaiwai kikowaena. Hiki iā ia ke hala i mau hebedoma e hoʻokō ai, a hiki i nā nīnau e mau nei ke hala i mau mahina e hoʻomohala a hōʻoia.

ʻO ka wikiwiki i kēia manawa a ke hele nei nā mea pono aʻoi aku ka pololei, ʻoi aku ka maʻalahi o nā algorithms, a me nā hopena a me ka hoʻomaikaʻi ʻana. ʻO ka hōʻike a Per Everstring, ʻO ka 2015 State of Preductive Marketing Survey Report, ke alahaka o nā kumu ʻekolu i alakaʻi i ka ulu wikiwiki o ke kūʻai aku ka wānana:

  1. Nā Helu Nui o ka ʻIkepili - kūʻai i ka mōʻaukala, ka lawena, a me ka ʻike helu kanaka mai ka lehulehu o nā kumuwaiwai.
  2. Ka Ubiquity o ke kiʻi - ke kiʻi i nā ʻikepili e kahe ana ma o aneane o nā kumuwaiwai i hoʻopili ʻia a hoʻohui ʻia e hāʻawi nei i ka hana waiwai, manawa maoli.
  3. ʻO ka maʻalahi o ke ao - ka mana computing nui ma o ka ʻōpua, nā ʻenehana hōkeo ʻikepili hōkeo hou me nā algorithms waiwai a paʻakikī hoʻi e kōkua ana i ka hoʻohuli ʻana i ka mākeke wānana.

He aha ke kūʻai aku wānana

ʻO ka mākeke wānana kahi hana o ka ʻimi ʻana i ka ʻikepili mai nā waihona mea kūʻai aku e kū nei e hoʻoholo ai i kahi hiʻohiʻona a wānana i nā hopena a me nā kū i ka wā e hiki mai ana. ʻO ka 2015 State of Preductive Marketing Survey Report

Hoʻonohonoho ʻia ka ʻikepili ma nā mea kūʻai aku i kēia manawa, hoʻoponopono ʻia nā algorithms i ka manawa maoli, a ua helu ʻia nā alakaʻi no kahi propensity e hoʻokele i nā hopena ʻoihana. Pēlā nō, hiki ke ana ʻia nā hoʻolaha a me nā kumuwaiwai pepeiao e hoʻomohala i nā pāʻina me nā pane wānana.

He ʻōpio naʻe ka adoption marketing preded. Ma kahi o 25% o nā mea pane i ʻōlelo he CRM maʻamau lākou, a ma kahi o 50% wale nō i hōʻike ua hoʻopukapuka lākou i ka automation marketing a e ʻimi nei paha i kahi hopena. ʻO 10% wale nō o nā mea pane i ʻōlelo ʻia e hoʻopili nei lākou i ka CRM a me ka automation me nā ʻenehana ʻē aʻe e hoʻokele i nā hopena ʻoihana. He ala lōʻihi kā mākou e hele ai!

EverString-Report-ʻOlelo

I ʻōlelo ʻia, he manaʻolana ka nānā. 68% o nā mea pane i haʻi ʻia ua manaʻoʻiʻo lākou e lilo kahi mākeke wānana i ʻāpana nui o ka stack marketing neʻe i mua. ʻO ka hapa nui o kēia mau mea pane i hana i nā ʻoihana ʻoihana me nā hui kūʻai ʻoi aku ma mua o 50. 82% o nā ʻoihana i hana i ka helu wānana ke ʻimi nei i nā kūʻai wānana.

Ka Hoʻolālā Kūʻai Kūʻai a me ke Kūkālā Wānana

ʻAʻole ia he ʻepekema maikaʻi loa, akā hiki iā ia ke hoʻonui i ka hilinaʻi, ke komo ʻana, a me ka hoʻololi ʻana ma waena o nā mea kūʻai mai a me nā mea kūʻai aku i ka wā e hiki mai ana. A hele kēlā no ka hopena o ka hopena o ka hokona ʻana a me ka hoʻopili ʻana me kāu kime kūʻai. Nā mea pīhoihoi. ʻO Matt Heinz, Pelekikena, Heinz Marketing.

E aʻo hou aʻe e pili ana i nā pilina ma waena o ke kūʻai aku wānana a me nā mea e like me ka nui o ke kime kūʻai aku, ka nui o ka ʻoihana, a me ke ʻano kūʻai mākeke.

Hoʻoiho i ka 2015 State of Predictive Marketing Survey Report

Hoʻoiho i ka hōʻike no nā pane i nā nīnau aʻe a me nā mea hou aʻe:

  • Pehea ke ʻano mākua a me ka ʻenehana i ka mākeke maʻamau?
  • Ehia mau mea kālepa e hoʻohana nei i ka wānana wānana i kēia lā?
  • Pehea e hoʻohana nei nā mea kālepa i kēia manawa i ke kūʻai aku wānana?
  • Pehea ka nui o ka ʻoihana, ka nui o ka hui, a me ke kaʻina kūʻai aku e pili ai i ke kūlana mākua a me ka hoʻohana ʻana o ka wānana wānana?

ʻO Infographic Marketing Infant

E pili ana iā EverString

EverString ʻae iā ʻoe e kūkulu i ka paipu a hoʻonui i nā helu hoʻololi o ka mea kūʻai aku me ka moʻohelu kālā wale nō i hoʻokumu ʻia analytics hopena no ke kūʻai aku & kūʻai aku. ʻO ka EverString Decision Platform kahi mea maʻalahi e hoʻokō i ka mōhai SaaS i hoʻohui maikaʻi ʻole ʻia me nā polokalamu kūʻai e kū nei a me CRM e ʻike ai i nā ʻano o kāu waihona kūpono.

hana manaʻo hoʻopuka

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