Ongororo & Kuedzwa

Mashandisiro Aunoita Attribution Ongororo yeiyo Yakasimba Kushambadzira Insight

Kuwanda kwenzvimbo dzekubata dzaunosangana nadzo nevatengi - uye nzira dzavanosangana nadzo neako marangi - dzakaputika mumakore apfuura. Munguva yakapfuura, sarudzo dzaive nyore: iwe wakamhanya kushambadzira kushambadzira, kushambadzira kushambadzira, pamwe yakananga tsamba, kana kumwe kusanganisa. Nhasi kune kutsvaga, kuratidzwa pamhepo, zvemagariro midhiya, nhare, mablog, nzvimbo dzekubatanidza, uye runyorwa rwunoenderera mberi.

Nekuwanda kwevatengi vekubata mapoinzi kwauyawo kwakawedzera kuongororwa maererano nekubudirira. Ndeipi kukosha kwedhora rinoshandiswa mune chero nzira ipi zvayo? Ndeipi svikiro inokupa yakanyanya kubhowa pamari yako? Iwe unogona sei kuwedzera mhedzisiro yekuenderera mberi?

Zvekare munguva yakapfuura, kuyerwa kwaive nyore: iwe wakamhanya kushambadza, uye ukaongorora mutsauko maererano neruzivo, traffic uye kutengesa. Nhasi, kushambadzira kwekushambadzira kunopa ruzivo rwekuti vangani vanhu vadzvanya pachishambadziro chako uye vauya kwaunoda kwaunoda kuenda.

Asi chii chinoitika ipapo?

Attribution wongororo inogona kupa mhinduro kumubvunzo iwoyo. Inogona kuunza pamwechete data kubva kune akati wandei akasiyana masosi mukati mebhizinesi rako uye ekunze maererano nekusvika kwevatengi. Inogona kukubatsira kuona kuti ndedzipi chiteshi dzinonyanya kudhura mukugadzira huwandu hwemhinduro. Kunyanya kukosha, inogona kukubatsira kuona vatengi vako vepamusoro mukati meboka iro uye kuita pane iyo ruzivo nekugadzirisa yako yekushambadzira nzira zvichifambirana mberi.

Unogona sei kushandisa kuongororwa kwekupa zvinobudirira uye kukohwa izvi zvakanaka? Heino yekukurumidza nyaya yekudzidza kuti imwe kambani yakazviita sei:

Iyo Yekushandisa Nyaya Yekupa Attribution Kuongorora

Imwe kambani inogadzira nhare inoshambadzira chikumbiro icho chinoita kuti vashandisi vagadzire, vadzokorore uye vagovane zvinyorwa kubva kune chero chinhu Pakutanga, kambani yakaisa yechitatu-bato analytics zvishandiso zvine prebuilt madhibhodhi kuteedzera basic metric senge kurodha pasi, zuva nezuva / pamwedzi mushandisi kuverenga, nguva yakashandiswa neapp, nhamba yemagwaro akagadzirwa, nezvimwe.

Imwe Saizi Yekuongorora haina Kukodzera Zvese

Sezvo kukura kwekambani kwakaputika uye yavo yekuverenga kuverenga yakakura ikava mamirioni, iyi-saizi-inokodzera-ese maitiro ekuziva haana kukwira. Yechitatu-bato analytics sevhisi yaisakwanisa kubata kusangana kweyechokwadi-nguva data kubva kune akawanda masosi senge server chikuva matanda, webhusaiti traffic uye kushambadzira mishandirapamwe.

Zvakare, iyo kambani yaida kuongorora kupiwa pamatanho akawanda uye makwara ekuvabatsira kusarudza kuti rinotevera rinowedzera rekushambadzira dhora raizoshandiswa nani mukutenga vatengi kutsva. Chiitiko chakajairika chaive ichi: mushandisi akaona kushambadzira kwekambani yeFacebook vachiri parunhare rwavo, ndokuzotsvaga ongororo pamusoro pekambani pafoni yavo, uye pakupedzisira vadzvanya kuisa iyo app kubva kuchiratidziro kushambadzira pahwendefa ravo. Kupa mune ino kesi kunoda kupatsanura chikwereti chekuwana iyo nyowani mutengi pasocial media panhare, yakabhadharwa yekutsvaga / wongororo paPC uye mu-app kuratidza kushambadzira pamahwendefa.

Iyo kambani yaifanira kutora zvinhu nhanho mberi uye kuona kuti ndeipi online yekushambadzira sosi yakavabatsira kuwana vashandisi vavo vanonyanya kukosha. Vaifanira kuona maitiro emushandisi - kupfuura iyo generic yekudzvanya-ku-install chiito - chaive chakasarudzika kuapp uye chaiita kuti mushandisi kukosha kukambani. Mumazuva ayo ekutanga, Facebook yakagadzira nzira iri nyore asi ine simba yekuita izvi: vakaona kuti huwandu hwevanhu mushandisi "shamwari" mukati memazuva akapihwa ekusaina yaive fungidziro huru yekuti mushandisi angabatanidzwa kana kukosha sei. kuva mukufamba kwenguva. Online midhiya uye wechitatu-bato analytics masystem akapofumara kune aya marudzi enguva-akatamiswa, zviito zvakaoma zvinoitika mukati meapp.

Vaida tsika kuongororwa kwekupa kuita basa.

Attribution Kuongorora ndiyo Mhinduro

Kutanga zvakapusa, kambani mukati yakagadzira chinangwa chekutanga: kunyatsoona kuti chero mushandisi akapihwa anowirirana sei nechigadzirwa chavo muchikamu chimwe chete. Kana izvo zvatemwa, vanogona kuramba vachidonhedza pasi mune iyo dhata kugadzira zvikamu zveprofita zvevatengi zvichibva pahunhu hwavo sekubhadhara vashandisi uye mari inoshandiswa mwedzi wega wega. Nekubatanidza nzvimbo mbiri idzi dzedata, kambani yakwanisa kuona yakapihwa vatengi ' kukosha kwehupenyu hwese - metric iyo yakatsanangura kuti ndedzipi mhando dzevatengi dzakabata mari yakawanda kwazvo. Ruzivo irworwo, rwakavatendera kuti vataridze zvakanyanya kune vamwe vashandisi - avo vaibata zvakafanana "hupenyu hwehupenyu" chimiro - kuburikidza neakasarudzika midhiya sarudzo, ine yakanyanya yakatarwa mvumo.

Mhedzisiro yacho? Kungwara, kushandisa ruzivo rwekushambadzira madhora. Kuenderera mberi kukura. Uye tsika yekupa ongororo system munzvimbo inogona kukura uye kuchinjika sezvo kambani ichifambira mberi.

Yakabudirira Attribution Kuongorora

Paunotanga kuita kuongororwa kwekupa, zvakakosha kutanga watsanangura kubudirira mumazwi ako - uye chengeta zviri nyore. Zvibvunze pachako, ndiani wandinofunga semunhu akanaka mutengi? Wobva wabvunza, ndezvipi zvinangwa zvangu nemutengi iyeye? Iwe unogona kusarudza kuwedzera kushandisa mari uye kusimbisa kuvimbika nevatengi vako vanokosha kwazvo. Kana, iwe unogona kusarudza kuona kwaunogona kuwana kwakawanda-akakosha vatengi senge ivo. Izvo zvese zviri kwauri, uye chii chakanakira sangano rako.

Muchidimbu, ongororo yekupa inogona kuve inokurumidza uye yakapusa nzira yekuunza pamwechete data kubva kune akati wandei emukati uye echitatu-bato masosi, uye ita pfungwa yeiyo dhata nenzira iwe yaunonyatso sarudza. Iwe unowana iwo maonero iwe aunofanirwa kutsanangura zvakajeka uye kuzadzisa zvinangwa zvako zvekushambadzira, wobva warodza zano rako kuti uwane iyo yepamusoro ROI inogoneka pane rese rekushambadzira dhora rakashandiswa.

Chii chinonzi Data Warehouse seSevhisi

Isu tichangobva kunyora nezvekuti sei data matekinoroji ari kuwedzera kune vatengesi. Dhairekitori Matura anopa epakati repositi ayo anoyera uye anopa hukuru hukuru mukushambadzira kwako kuedza - kugonesa kugona kuunza muhombe mavhoriyamu evatengi, mutengapamwe, zvemari uye zvekushambadzira data. Nekutora pamhepo, pasiri pamhepo uye nharembozha mune yepakati yekubika dhatabhesi, vashambadzi vanokwanisa kuongorora uye kuwana mhinduro dzavanoda pavanenge vachida. Kuvaka dura rekuchengetera ibasa chairo kukambani yepakati - asi Dhata Warehouse seSevhisi (DWaaS) inogadzirisa nyaya kumakambani.

Nezve BitYota Dhata Warehouse seSevhisi

Iyi posvo yakanyorwa nerubatsiro rwe BitYota. BitYota's Data Warehouse seSevhisi mhinduro inotora musoro kunze kwekuseta uye kugadzirisa imwe dhata chikuva. BitYota inogonesa vatengesi kuti vakurumidze kutora yavo data yekuchengetera kumusoro uye kumhanya, nyore kubatanidza kune iyo gore mupi uye kugadzirisa yako imba yekuchengetera. Iyo tekinoroji inoshandisa SQL pamusoro peJSON tekinoroji kuti ibvunze zviri nyore imba yako yekuchengetera uye inouya neicho chaicho-nguva dhata feeds yeanokurumidza analytics.

Kuongorora Kwenharaunda - BitYota

Imwe yemainhibitors ekukurumidza analytics iko kudiwa kwekushandura iyo data usati waichengeta mune yako analytics system. Munyika umo kunyorera kunoshanduka nguva dzese, data rinosvika kubva kunzvimbo zhinji, uye nenzira dzakasiyana, zvinoreva kuti makambani anowanzozviwana achishandisa nguva yakawandisa pazvirongwa zvekushandura data kana kumeso akaputsika analytics hurongwa. BitYota inochengetera uye inoongorora iyo data mune yayo yemhando fomati nekudaro ichibvisa kudiwa kwekushanda, kunotora nguva-shanduko yedatha shanduko. Kuita kure nekushandurwa kwedata kunopa vatengi vedu nekukurumidza analytics, yakanyanya kuchinjika, uye yakakwana data kuvimbika. BitYota

Sezvo zvaunoda zvichichinja, unokwanisa kuwedzera kana kubvisa node kubva pasumbu rako kana kushandura magadzirirwo emuchina. Semhinduro inogadziriswa zvizere, BitYota monitors, maneja, zvinopihwa, uye zviyero dhata rako re data, kuti iwe ugone kutarisa pane zvakakosha - kuongorora yako data.

Douglas Karr

Douglas Karr ndiye CMO OpenINSIGHTS uye muvambi we Martech Zone. Douglas akabatsira akawanda ekubudirira kweMarTech kutanga, akabatsira mukushingairira kweanopfuura madhora mashanu emadhora mukutenga nekudyara kweMartech, uye anoenderera mberi nekubatsira makambani kuita nekuita otomatiki nzira dzawo dzekutengesa nekutengesa. Douglas inyanzvi inozivikanwa pasi rese yedhijitari uye MarTech nyanzvi uye mutauri. Douglas zvakare munyori akaburitswa wegwaro raDummie uye bhuku rehutungamiriri hwebhizinesi.

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