Okuthathwayo Okubalulekile
Ayikho indlela yokulinganisa eyodwa engaphendula yonke imibuzo abaholi besimanje bezentengiso ababhekene nayo. Kudingeka isitaki esinezendlalelo esihlanganisa amathuluzi amaningi.
Inselele yemfanelo yokumaketha ihlelekile: inikeza isikweletu ezindaweni zokuthinta kodwa ayikwazi ukufakazela imbangela. Isebenza kahle kakhulu ekwenzeni kangcono, hhayi izinqumo zamasu.
Ukumodela okuxubene nokumaketha kukhomba imbuyiselo encane kanye nokugcwala kwesiteshi, okusiza ukuqondisa ukwabiwa kwesabelomali sesikhathi eside.
Ukuhlolwa kokukhula kuyindlela ethembeke kakhulu yokunquma ukuthi umsebenzi wokumaketha udale ngempela yini imiphumela, esikhundleni sokuthatha isidingo esesivele sikhona.
Ukuhlela amaqembu okulinganisa abe amaphayona, izifiki, nabahleli kuqinisekisa ukuthi uhlobo ngalunye lomsebenzi luthola izindinganiso ezifanele kanye nesivinini sokwenza izinqumo.
Abaholi abaningi bezentengiso bayayazi inselelo yokumaketha kahle: unamadeshibhodi agcwele idatha, kodwa izinombolo aziphenduli ngokuthembekile ukuthi yikuphi ukutshalwa kwezimali okukhuthaza ukukhula. Umuzwa ongokwemvelo ukucinga ithuluzi elingcono, imodeli ehlakaniphile, noma isistimu yesichasiso enembe kakhulu. Kepha izinhlangano ezithola ukulinganisa kahle zidlule kulowo mqondo.
Sebeyekile ukufuna umthombo owodwa weqiniso. Inselele yemfanelo yokumaketha iyingxenye yenkinga ebanzi: izindawo zokumaketha zesimanje ziyinkimbinkimbi kakhulu ukuthi indlela eyodwa ingamboza yonke into. Ukutholwa kwenzeka ezinkundleni zokuxhumana eziningi kakhulu, uhambo lomthengi luhlukene kakhulu, futhi izinguquko zobumfihlo zimoshe isignali enkulu kakhulu kunoma yiliphi ithuluzi ukuze linikeze isithombe esiphelele.
Okusebenzayo kunalokho indlela enezingqimba. Izindlela zokulinganisa ezihlukene ziphendula imibuzo ehlukene, futhi izinhlangano ezikhula kahle ziyayihlanganisa ngamabomu. I-Marketing mix modelling iqondisa ukwabiwa kwesabelomali kwamasu. Ukuhlolwa kokukhula kuqinisekisa ukuthi ngabe umsebenzi othile udale umphumela. Idatha yenkundla iphatha ukwenziwa ngcono komkhankaso wansuku zonke. Ngamunye udlala indima ethile. Akekho kubo osebenza njengesu elizimele.
Lesi isiqeshana sesibili ochungechungeni olunezingxenye ezintathu esilinganisweni sesimanje sokumaketha. Ingxenye yokuqala ihlole ukuthi kungani amamethrikhi endabuko afana nethrafikhi, amazinga, kanye ne-ROAS ephelelwa ukwethembeka. Lesi siqeshana sihlanganisa indlela yokwakha uhlelo lokulinganisa olusekela izinqumo zokukhula.
Kungani Ingasasebenzi Indlela Yokulinganisa Eyodwa
Amathuluzi esibaluli sokumaketha kwedijithali amaqembu amaningi athembele kuwo akhelwe indawo ehlukile. Asebenze kahle lapho uhambo lwabasebenzisi luhambisana ngokuqhathaniswa, amakhukhi alandelelwa ngokuthembekile kuzo zonke izikhathi, futhi ukutholwa okuningi kwenzeka ngeziteshi obekulula ukuzifaka. Leyo ndawo ayisekho.
Namuhla, umthengi angase ahlangane nebhrendi ngempendulo ekhiqizwe yi-AI, ayicwaninge ku-YouTube, axoxe ngayo ngochungechunge lomlayezo oyimfihlo, futhi aguqule ngokusesha okunegama emasontweni amathathu kamuva. Isistimu yesichasiso inika iphoyinti lokuthinta lokugcina. Iziteshi empeleni ezilolonge isinqumo zithola okuncane noma zingatholi lutho.
Lena inkinga yesakhiwo ewumongo. Amamodeli esibaluli sokumaketha aklanyelwe ukunikeza isikweletu, hhayi ukusungula imbangela. Ngisho nezindlela eziyinkimbinkimbi zokumaketha kokuthinta okuningi zisasebenza ngaphakathi kwesithiyo esifanayo esibalulekile: zingabonisa ukuthi yiziphi izindawo zokuthinta ezandulele ukuguqulwa, kodwa azikwazi ukufakazela ukuthi ukususa noma iyiphi yazo bekuyowushintsha umphumela.
Lokho izinhlangano ezikhula kahle ezikubonile ukuthi amathuluzi okulinganisa ahlukene aphendula imibuzo ehlukene. Izimpendulo zokulingiswa kwesichasiso: yiziphi izindawo zokuthinta ezazikhona ngaphambi kokuguqulwa? Izimpendulo zokumodela zokumaketha: ikuphi ukubuyisela okusemaceleni okunamandla kuzo zonke iziteshi ngokuhamba kwesikhathi? Izimpendulo zokuhlolwa kokukhula: ingabe lo msebenzi othize uguqule imiphumela ngempela?
Umbuzo ngamunye ubalulekile. Ngamunye udinga indlela ehlukile. Ngokusho kocwaningo lwe-NP Digital, amaphesenti angu-90 abadayisi abakhula kakhulu abeka phambili ukuhlolwa kokukhuphuka, amaphesenti angu-61 asebenzisa i-attribution modelling, kanti amaphesenti angu-42 asebenzisa imodeli yokuhlanganisa yokuthengisa. Amaqembu aphumelela kakhulu asebenzisa womathathu, anesisindo ngesinqumo esikhona.
I-Marketing Mix Modeling Njengesiqondiso Samasu
I-Marketing mix modelling, noma i-MMM, ithatha indlela ehlukile yokulinganisa kune-attribution. Kunokuba ilandelele uhambo lomsebenzisi ngamunye, isebenzisa idatha yomlando ehlanganisiwe ukuze ibonise ubudlelwano phakathi kwezindleko zokumaketha kanye nemiphumela yebhizinisi kuzo zonke iziteshi ngokuhamba kwesikhathi. Umphumela uwukubuka kwembuyiselo emaphethelweni amasistimu wokuchasisa angeke akwazi ukukunikeza.
I-MMM iwusizo kakhulu ekuboneni lapho idola ngalinye elengeziwe lokuchithwa kwe-aisiteshi sikhiqiza izinzuzo ezinciphayo. Isiteshi esisebenza nge-ROAS eqinile ehlanganisiwe singase sibukeke sisebenza kahle kudeshibhodi kuyilapho amaphesenti okugcina angu-30 esabelomali saso enza imali engenamsebenzi ekhuphukayo. I-MMM iveza lokho kungasebenzi kahle. Kuyasiza futhi ukukhomba imiphumela yeziteshi ezihlukene, njengokuthi ividiyo noma ukutshalwa kwezimali kwebhrendi phezulu kuwuthinta kanjani izinga lokuguqulwa ekusesheni okukhokhelwayo phansi komfula.
Ekwabiweni kwesabelomali okunenhloso, lokhu kwenza i-MMM ibe ithuluzi elithembeke kakhulu elitholakalayo. Akudingi ukulandelelwa kwezinga lomsebenzisi, okusho ukuthi izinguquko zobumfihlo kanye nokuhoxiswa kwekhukhi akukonakali ukunemba kwayo ngendlela eyenza ngayo isibaluli. Ukugijima kwekota ngekota kwe-MMM kungathuthuka ngokungaguquguquki izinqumo zesabelomali zesikhathi eside ngisho nalapho izimpawu zosuku nosuku ziba nomsindo.
U-MMM unemikhawulo yangempela. Kunzima ukulinganisa ukwakhiwa komkhiqizo wefaneli ephezulu ngokunembile, ngenxa yokuthi ukushiyeka phakathi komkhiqizo nokuguqulwa komfula kude kakhulu futhi akuqondile kakhulu ukuthi izixhumanisi zomlando zithathwe ngokuhlanzekile. Izinhlangano ezisebenzisa i-MMM ukuze ziqondiswe ngamasu kuyilapho ziyingezela ngokulandelela umkhiqizo kanye nezifundo zemibono zithola isithombe esiphelele.
Ukuhlola Ukukhula Njengenjini eyimbangela
Uma i-MMM inikeza isiqondiso samasu, ukuhlolwa kokukhula kunikeza ubufakazi bembangela. Umbuzo ewuphendulayo uqondile: ngabe lo mphumela ubungenzeka yini ukube lo msebenzi wokumaketha ubungenzekanga? Lowo ngumbuzo ohluke kakhulu kulokho okushiwo amamodeli wemfanelo, futhi impendulo iwusizo kakhulu ekunqumeni ukuthi uzotshala kuphi.
Izindlela ezivame kakhulu zokukhula zifaka ukuhlolwa kwe-geo, ukuhlolwa kwe-holdout, nokumiswa okwesikhashana komkhankaso. Esivivinyweni se-geo, izimakethe zendawo ezifanayo ziyahlonzwa futhi imali ibanjwa eqenjini elilodwa kuyilapho igcinwa kwelinye. Umehluko emiphumeleni phakathi kwamaqembu amabili uhlukanisa ukuphakama kwesizathu emsebenzini wokumaketha. Ukuhlolwa kwe-holdout kusebenzisa ingqondo efanayo ezingeni lezethameli. Ukumiswa kwesikhashana komkhankaso, kuyilapho i-cruder, kungaphinda kuveze ukuthi imiphumela iyehla yini uma imali ima.
Emaqenjini asebenzisa isibaluli se-Amazon noma okunye ukulinganisa okusekelwe emakethe, ukuhlolwa kokukhula kubaluleke kakhulu ngoba ukuguqulwa okubikwe yinkundla ngokuvamile kubonisa isidingo esivele sikhona esikhundleni sokufuna umkhankaso owenziwe.
I-NP Digital yokulandelela ucwaningo olwengeziwe uma iqhathaniswa nokuguqulwa okubaluliwe kuzo zonke iziteshi ithole izikhala ezizwakalayo cishe kuzo zonke izimo. I-Organic social ibonise ukuphakama okukhuphuka ngamaphesenti angu-13 uma kuqhathaniswa no-3 wamaphesenti okuthiwa u-lift. Ezomphakathi ezikhokhelwayo zibonise ukuphakama okungamaphesenti angu-17 uma kuqhathaniswa namaphesenti angu-24 okubalulwe, okuphakamisa ukuthi isibaluli sasinikeza leso siteshi ikhredithi ngokweqile. Lezi zikhala zithinta ngqo lapho isabelomali kufanele siye khona, futhi azibonakali ngaphandle kokuhlolwa kokukhula.
Ukuhlolwa kokukhula kudinga ukuhlela kanye nedatha ehlanzekile, kodwa akudingi isabelomali esikhulu. Ngisho ne-geo holdout eyodwa eklanywe kahle esiteshini esikhulu inikeza ukuqonda okunokwethenjelwa kumthelela wembangela kunezinyanga zokubikwa kwesichasiso.
I-Platform Data Isenendaba, Kodwa Okokuthuthukisa Kuphela
Amadeshibhodi enkundla avela ku-Google, i-Meta, nezinye izinkundla zesikhangiso ahlala ewusizo, kodwa indima yawo mncane kunalokho amaqembu amaningi ayiphatha. Izindawo eziyimpumputhe ezakhelwe ekubikeni kwenkundla ziyisakhiwo, azizenzekelanga. Amapulatifomu aklanyelwe ukuthuthukisa ukusebenza komkhankaso ngaphakathi kwe-ecosystem yawo. Aziklanyelwe ukukutshela ukuthi lokho kusebenza kulishintshile yini ibhizinisi lakho.
Ezinqumweni zansuku zonke, idatha yesikhulumi iyithuluzi elilungile. Ukulinganisa imali kuqhathaniswa nesabelomali, ukulungisa amabhidi ngokusekelwe kumasiginali okusebenza, ukuhlonza ukukhathala kobuciko, kanye nokuhlonza izinkinga zokulethwa konke kuncike kumamethrikhi enkundla. Lezi izinqumo zokusebenza, futhi idatha yesikhulumi izisingatha kahle.
Lapho idatha yenkundla ingathembeki khona kusezinqumweni zamasu. Ama-algorithms alungiselela abasebenzisi okungenzeka ukuthi baguqule, okusho ukuthi bathanda ngokuhlelekile ukufuna ukuthwebula kunokudala isidingo. Isibalo esiphezulu se-ROAS kudeshibhodi yesikhulumi singabonisa i-algorithm ephumelelayo, hhayi ukumaketha okuphumelelayo.
Ngokocwaningo lwe-NP Digital, ukunikezwa okungekuhle kubiza amabhizinisi amancane isilinganiso samaphesenti angu-19.4 emali echithwe ezikhangisweni, izinkampani ezimaphakathi nemakethe amaphesenti angu-11.5, kanye nemikhiqizo yamabhizinisi amaphesenti angu-7.7. Lokho kuchitha okumoshiwe akubonakali kakhulu ekubikweni kwenkundla ngoba izinkundla azikho isisusa sokuphumela obala ngakho.
Isiqondiso esisebenzayo siwukusebenzisa amamethrikhi enkundla kulokho ayiko: isiqondiso samaqhinga, hhayi iqiniso lesu.
I-Pioneer-Settler-Planner MeasurementImodeli
Ukwakha isistimu yokulinganisa enezingqimba akuyona nje inselele yobuchwepheshe. Eyenhlangano. Kunezindima ezintathu ezihlukene ezidingwa yinhlangano yonke yokulinganisa esebenzayo: amavulandlela, izifiki, nabahleli.
Amaphayona asebenza emaphethelweni alokho okulinganiswayo njengamanje. Basebenzisa izivivinyo zokukhula, bakha amamodeli enhlanganisela yokuthengisa yokuqala, ukuhlola i-geo holdouts, nokuqagela kokuhlola ingcindezi okungenzeka kungasabambeki. Umsebenzi wabo awuqinisekiswa ngokuklama. Amaphayona awanikezi isiqiniseko; baletha isiqondiso. Ukuzigcina kumazinga afanayo okuzethemba kwezibalo njengokubika kokusebenza kuzomisa lo msebenzi ngaphambi kokuthi kukhiqizwe inani.
Abahlali bathatha lokho okuvela ekuhlolweni futhi bakwenze kube izinqubo eziphindaphindwayo. Bacwenga amamodeli, baqinise ukucabanga, futhi baxhume imininingwane emuva ezinqumweni zokuhlela. Yilapho i-MMM yakuqala iqala khona ukuvuthwa ezincwadini zokudlala, futhi lapho imiphumela yokuhlolwa kokukhuphuka iba izinhlaka amaqembu angasebenza ngaso sonke isikhathi. Izifiki zakha ukwethembana ngokuhumusha ulwazi oluqondisayo kumasistimu angasebenza ngempela.
Abahleli bagcina imisebenzi yansuku zonke isebenza. Bathembele kudatha yeplathifomu, amasiginali esibaluli, nezinsimbi zokuguqula ukuze zilawule ukuchitha ngesikhathi sangempela. Lesi sendlalelo siyadingeka; ngaphandle kwalo, ukubulawa kuyahlukana. Kodwa abahleli akufanele bacelwe ukuthi bachaze ukukhula kwesikhathi eside noma ukuxilonga amashifu esakhiwo ekusebenzeni. Ukugxila kwabo ukuthuthukisa ukusebenza kahle ngaphakathi kwemikhawulo yesiteshi.
Imodi yokwehluleka izinhlangano eziningi eziwela kuyo ukusebenzisa izindinganiso zokuqinisekisa zeleveli yokuhlela emsebenzini wezinga lokuphayona. Idinga amaphesenti angu-95 ukuzethemba kwezibalo kusukela ekuhloleni okudinga isikhathi ukuze kuthuthukiswe iziqinisekiso zokuthi akukho okusha okwakhiwayo. Imodeli enokuzethemba kokuqondisa okungamaphesenti angu-60, okubhangqwe nokuphindaphinda okusheshayo, ngokuqhubekayo idlula impendulo ephelele efika ngemva kwekota.
Indlela Izinkampani Ezikhula Ngayo Ezinikezela Ngayo Izinsiza Zokulinganisa
Izinqubo zokukala zokulandelela ucwaningo lwe-NP Digital kuwo wonke amabhrendi aseCanada zithole ukuhlukana okucacile phakathi kwezinhlangano ezimaphakathi nezikhula kakhulu. Amaqembu amaphakathi anikezela cishe amaphesenti angu-65 omthonya wawo wokulinganisa kumadeshibhodi enkundla namaphesenti angu-25 kumathuluzi esichasiso, okushiya isikhala esincane sezindlela zamasu ezengeziwe.
Imikhiqizo ekhula kahle enemali engaphezu kuka-$750,000 ekutshalweni kwemithombo yezindaba yaminyaka yonke ibukeka ihluke kakhulu. Ukuthembela kwedeshibhodi yenkundla kwehla cishe kumaphesenti angama-45. Ukusetshenziswa kwethuluzi lesichasiso kwehla kuye kumaphesenti angu-15. I-MMM ikhula isuka ku-5% iye ku-20%. Ukuhlolwa kokukhula kufinyelela kumaphesenti angu-10, futhi umsebenzi wokuthuthukisa usesho olusheshayo ubalwa namanye amaphesenti angu-10.
Lezi zinhlangano azikulahli isichasiso noma idatha yenkundla. Baphinde balinganise. Umqondo uqondile: ezimakethe ezihlala zishintsha, wakha amandla okulinganisa lapho kwenzeka khona ushintsho, hhayi lapho ukujwayela kuzwakala kuphephile. Umgomo kuzo zonke lezi zindlela ukuzethemba kokuqondisa, okusho isignali eyanele yokwenza izinqumo ezingcono zebhajethi ngokushesha, hhayi ukuqiniseka okuphelele okufika ngemva kokuba ithuba livaliwe.
Izinyathelo Eziyisikhombisa Zokuguqula Uhlelo Lwakho Lokulinganisa
Ukwakha kabusha isistimu yokulinganisa akudingi ukushintsha yonke into ngesikhathi esisodwa. Izinhlangano ezenza lokhu kahle zithuthuka kancane kancane, zengeza amandla ngendlela efanele kunokuba zizame ukulungisa kabusha ngokuphelele.
Mepha okokufaka kwakho kokulinganisa kwamanje. Faka kuhlu wonke amathuluzi nomthombo wedatha ithimba lakho eliwusebenzisayo futhi ukhombe lapho ngalinye lihlala khona: idatha yenkundla yokusebenza, imodeli yesichasiso, i-MMM, noma ukukhuphuka. Amaqembu amaningi athola ukuthi agxile kakhulu kokubili kokuqala.
Khomba izikhala zesinqumo. Cacisa ukuthi yimiphi imibuzo yamasu isitaki sakho samanje esingakwazi ukuyiphendula. Inselele yokuchayeka kokumaketha ibonakala kakhulu lapha: uzenza kuphi izinqumo zebhajethi ezisuselwe ku-ROAS ehlanganisiwe ngaphandle kokubonakala kube yimbuyiselo encane? Uzithathaphi iziteshi okungenzeka ukuthi zifinyelela isidingo esikhona?
Yethula ukumodela okuyisisekelo. Ngisho nokugijima ngekota kwe-MMM okulula kunikeza isiqondiso esinamasu kunokulinganisa kuphela. Qala ngeziteshi zakho ezisebenzisa kakhulu kanye nemiphumela yebhizinisi ehambisana kakhulu nenzuzo.
Yenza ukuhlolwa kwakho kokuqala kokukhuphuka. Khetha isiteshi esisodwa esikhulu bese uklama ukuhlolwa kwe-geo holdout noma ukuhlolwa kwezithameli ezilindile. Umgomo awukona ukuphelela; lwakha amandla enhlangano nokunethezeka ngalolu hlobo lokulinganisa.
Lungisa okulindelwe ukubusa. Imibiko yokuchayeka ngeke inyamalale ekubuyekezweni kobuholi ngobusuku obubodwa. Ukugijima aithrekhi ehambisanayo ebonisa ukukhula nokutholwe kwe-MMM eduze kwedatha yesichasiso yakha ukuzethemba endleleni entsha ngaphandle kokudinga inguquko ephelele.
Yakha izinqubo kancane kancane. Izifiki ziguqula izivivinyo zabaphambili zibe ukuhamba komsebenzi okuphindaphindwayo. Ukuhlolwa ngakunye kokwenyuka kufanele kuveze indlela ebhaliwe eyenza elandelayo isheshe futhi ishibhile.
Khulisa i-cadence yesinqumo. Enye yezinzuzo zokuzethemba kokuqondisa ngaphezu kokuqiniseka okuphelele isivinini. Ukulungiswa kwesabelomali samasonto onke okusekelwe kumasiginali okukhula kanye nemiphumela ye-MMM kudlula ukunikezwa kabusha kwekota okusekelwe emibikweni yemfanelo.
Imibuzo Evame Ukubuzwa
Iyini I-Marketing Attribution?
Ukunikezwa kokukhangisa kuyinqubo yokunika isikweletu ezindaweni zokuthintwa zokumaketha ezibe negalelo ekuguquleni. Amamodeli ajwayelekile wokumaketha afaka ukuchofoza kokugcina, ukuchofoza kuqala, umugqa, kanye nesibaluli esishayelwa yidatha. Ngamunye unikeza isikweletu ngendlela ehlukile kulo lonke uhambo lwamakhasimende. Isichasiso siwusizo kakhulu ekuthuthukiseni ukusebenza komkhankaso eziteshini, kodwa asikwazi ukuthola ukuthi ukumaketha kudale umphumela webhizinisi yini.
Ulinganisa Kanjani Imfanelo Yokumaketha?
Isichasiso sikalwa ngokuxhuma idatha yokuguqulwa kumaphoyinti wokuthinta angaphambi kwayo, kusetshenziswa amaphikseli okulandelela, amapharamitha e-UTM, nedatha ye-CRM ukuze kumephu indlela. Izinkundla zesofthiwe yesichasiso sokumaketha zenza le nqubo ngokuzenzakalelayo futhi zinikeza amamodeli esibaluli ahlukene ongakhetha kuwo. Umkhawulo oyinhloko okufanele uqondwe ukuthi zonke izindlela zokulinganisa zabela isikweletu ngokusekelwe ekusebenzelaneni, hhayi imbangela.
Iyiphi Isoftware Engcono Kakhulu Yokulandela Ukumaketha Isibaluli?
Isofthiwe yemfanelo yokuthengisa ehamba phambili incike kumodeli yebhizinisi lakho nezinjongo zokulinganisa. I-Google Analytics 4 kanye namadeshibhodi engxenyekazi yomdabu aphatha isichasiso esiyisisekelo kahle. Amathuluzi afana ne-Northbeam, i-Triple Whale, ne-Rockerbox yakhelwe ukusabela okuqondile kanye nezimo ze-e-commerce. Ezinqumweni zamasu, isofthiwe yokuchasisa isebenza kangcono kakhulu uma ibhangqwe ne-MMM kanye nokuhlolwa kokukhula kunokuba isetshenziswe yodwa.
{ "@context": "https://schema.org", "@type": "I-FAQPage", "ibhizinisi eliyinhloko": [ { "@type": "Umbuzo", "name": "What Is Marketing Attribution?", "acceptedPhendula": { "@type": "Impendulo", "text": "Isichasiso sokuthengisa siyinqubo yokunika isikweletu ezindaweni zokuthintwa zokumaketha ezibe nomthelela ekuguquleni. Amamodeli ezimpawu zokumaketha ajwayelekile ahlanganisa ukuchofoza kokugcina, ukuchofoza kokuqala, umugqa, kanye nesichasiso esishayelwa yidatha. Ngayinye yabela isikweletu ngendlela ehlukile kulo lonke uhambo lwamakhasimende. Isibaluli siwusizo kakhulu ekuthuthukiseni ukusebenza kahle komkhankaso ngaphakathi kwamashaneli, kodwa ukukhangisa akukwazi ukucacisa ukuthi ngabe kubangele yini umphumela webhizinisi." } } , { "@type": "Umbuzo", "name": "Usikala Kanjani Isibaluli Sokumaketha?", "acceptedPhendula": { "@type": "Impendulo", "text": "Isibaluli sikalwa ngokuxhuma idatha yokuguqulwa kuma-touchpoints ayandulelayo, kusetshenziswa amaphikseli okulandelela, amapharamitha e-UTM, nedatha ye-CRM ukuze kumephu indlela. Izingxenyekazi zesofthiwe yesichasiso zenza le nqubo ngokuzenzakalelayo futhi zinikeza amamodeli esibaluli ahlukene ongakhetha kuwo. Umkhawulo oyinhloko okufanele uqondwe ukuthi zonke izichasiso zisondela zinikeze ikhredithi ngokusekelwe ekuhlobaneni, hhayi ukuhambisana." } } , { "@type": "Umbuzo", "name": "Iyiphi Isofthiwe Engcono Kakhulu Yokulandela Umkhondo Wemfanelo Yokumaketha?", "acceptedPhendula": { "@type": "Impendulo", "text": "Isofthiwe yemfanelo yokuthengisa ehamba phambili incike kumodeli yebhizinisi lakho nezinjongo zokulinganisa. I-Google Analytics 4 namadeshibhodi engxenyekazi yomdabu aphatha isichasiselo esiyisisekelo kahle. Amathuluzi afana ne-Northbeam, i-Triple Whale, ne-Rockerbox yakhelwe ukusabela okuqondile kanye nezimo ze-e-commerce. Ngezinqumo zamasu, isofthiwe yesichasiso isebenza kangcono kakhulu uma isetshenziswa ekuhlolweni kokukodwa kanye ne-MMM." } } ] }
Isiphetho
Inselele yemfanelo yokumaketha akuyona inkinga exazululwa yisofthiwe engcono iyodwa. Kuwumkhawulo wesakhiwo walokho okungenziwa ukuchayeka. Ukunikezwa kwekhredithi nobufakazi bembangela yizinto ezihlukene, futhi ukuzihlanganisa kuholela ezinqumweni zesabelomali ezivuna ukuqoqwa kwesidingo ngaphezu kokudalwa kwesidingo.
Izinhlangano ezikhula kahle zibhekane nalokhu ngokwakha izinhlelo zokulinganisa ezinezingqimba lapho ithuluzi ngalinye lidlala indima echaziwe: idatha yeplathifomu yokuqondisa okusebenzayo, ukuchasisa ngobuhlakani.amasignali, i-MMM yokwabiwa kwamasu, nokuhlolwa kokukhuphuka kokuqinisekiswa kwembangela. Isiqephu esilandelayo kulolu chungechunge sihlola ukuthi abaholi bezentengiso basebenzisa kanjani lezi zimpawu ndawonye ukuze banqume ukuthi idola elilandelayo lokutshalwa kwezimali kufanele liye kuphi.
Uma ufuna ukujula lapho isichasiso siphuka khona ngaphambi kokuthuthela kuleso siqeshana, lokhu kuhlukaniswa kwezindawo eziyimpumputhe zokumaketha kuhlanganisa izindlela ezithile zokuhluleka ngokuningiliziwe. Ukuze uthole umbono obanzi wokuthi ungaxhuma kanjani ukulinganisa ezinqumweni zemali engenayo, lo mhlahlandlela esichasiselweni sokumaketha kwedijithali uyisithenjwa esiwusizo.
