Kuyini Ukuhlaziywa Kweqembu LakwaGoogle. Ukufunda nokuhlaziya

Ukuhlaziywa kweCohort umbiko wangaphambilidefiI-Google Analytics, i-cryptic kancane futhi ekuqaleni kokubona akulula ukufunda. Kepha ake sihlangane ukuthi yiluphi ulwazi olungasinika lona

Ukuhlaziywa kweqoqo kusayensi yezibalo kubonisa iqoqo labantu, abangabanye abantu, ababonakala ngokuhlangabezana nesenzakalo esifanayo ngaphambi kwesikhathi.defikusihlwa.

Isibonelo se-cohort yilabo abazalwa ngonyaka othile.

Ezifundweni zezibalo kukhona ukuthambekela kokugqamisa, kumaqoqo predefinite, amapharamitha akala isenzakalo senhlalo-mnotho.

Ekuqaleni kwakuyunithi (lwezinombolo futhi lobuqili) lebutho lamaRoma. Kamuva yabuye yasetshenziswa ebuthweni laseNapoleon nakwezempi ze-fascist. Kepha impela, ireferensi eyaziwa kakhulu iyona equkethwe iculo lase-Italy ... "Masibe seduze neCohort, sikulungele ukufa, i-Italy ibizwa ngokuthi" ...

Kepha emuva kwizibalo, iqembu elifanayo iqembu labantu elikhethwe ngaphakathi kwesibalo sabantu, ngesisekelo sesici abasabelana ngaso esikhathini esithile.

Iqembu lingaba-ke iqoqo labantu abazalwe ngonyaka othile, noma endaweni ethile; kungaba yiqembu labantu elihlanganiswe iqiniso lokuthi uke waba nesipiliyoni esifanayo. Isibonelo, njengoba eshiye iMilan Central ngenyanga ka-Agasti 2018.

Ama-cohorts asetshenziswa kaningi kwizibalo ukuqhathanisa ukuthi amanani athile avela kanjani emaqenjini angenabantu 

Ungayiqhathanisa kanjani imininingwane yokushona komdlavuza wamaphaphu, kubantu abachaphazeke ukungcola okuthile, uma kuqhathaniswa nesibalo esingazange sivezwe.

Le ndlela ebaluleke kakhulu yokuhlaziya, okusobala ukuthi ingaholela emiphumeleni ethokozisayo ngisho nokumaketha kwedijithali.

Ngaleyo ndlela sifika kuGoogle Analytics

Ukuvula imenyu eseceleni kwinto Yomphakathi uzothola okukhethwa kukho kweCohort Analysis, okumanje kusese-beta. 

Ngalesi sihlaziyo, uzokwazi ukuqonda ukusebenza kwamaqembu angenasisekelo wezivakashi futhi uqhathanise nabantu bonke abavakashi.

Ungayisebenzisa kanjani i-Google Analytics Cohort Analysis

Ngokufinyelela esikrinini seCohort Analysis, uzobona imenyu ezokuvumela ukuthi ukhethe iqoqo ofuna ukuqinisa kulo ukuhlaziywa.

Izinto eziphathelene:

1. Uhlobo lweqembu - okuwukuthi, ubukhulu bokuthi bahlukanise futhi bakhe iqembu elilungile. Okwamanje, uhlobo kuphela lweqembu elitholakala kumsebenzisi weGoogle Analytics lihlobene nosuku lokutholwa.
2. Usayizi weqembu - Ihambelana nenani losayizi olikhethile kuhlobo lweqembu.
   1. Isibonelo, kusengxenyeni ngosuku lokutholwa ungathatha isinqumo sokulakha iqembu ngokususelwa kubasebenzisi elitholwe ngosuku olufanayo, ngeviki elifanayo noma ngenyanga efanayo.
3. Imetric - okungukuthi, okulinganisayo njengophawu oluhlukile ngaphakathi kweqembu, futhi oluyoqhathaniswa nesibalo sabantu sonke noma salokho okuhamba kwelinye iqembu.
   1. Isibonelo, uma ukhetha:
      1. Isikhathi sesikhathi ngomsebenzisi ngamunye, uzothola isilinganiso sesikhathi esichithwa amalungu e-cohort kuwebhusayithi yakho;
      2. con Ukuthembeka komsebenzisiesikhundleni salokho, uzobona amaphesenti wabasebenzisi abenze izimpindelo esikhathini esinikeziwe.
4. Ibanga losukuekugcineni, kuyahambelana nenkathi yesikhathi ehlaziywa ngayo. Kuyahlukahluka ngokuya ngamanani owakhombisile ngosayizi weqembu.

Kufanele kuqashelwe ukuthi ukuhlaziywa kwe-cohort kuvumela umsebenzisi ukuthi enze izingxenye ezijwayelekile ngesiteshi noma ngezimpawu zomsebenzisi (imicimbi, uhlobo lwethrafikhi, njll.).

Ungayifunda kanjani ishadi

Igrafu engezansi ihlobene ne- ukwethembeka komsebenzisi masonto onke isikhathi sokuthatha amasonto ayisishiyagalolunye.

Ikholomu yokuqala yegrafu imele ama-cohorts nenani labasebenzisi eqenjini ngalinye.

Kithina, abasebenzisi bathola isikhathi ngasinye kuwebhusayithi eyisibonelo lapho sibona khona imininingwane.

Amakholamu alandelayo abonisa izilinganiso zamanani owakhethile lapho usungula usayizi weqembu. Isibonelo, uma ukhombise ukukhuphuka ngeviki, uzobona idatha ngeviki lokuqala, lesibili, lesithathu, njalonjalo.

Amaseli esikhundleni salokho akhomba amanani ayahlaziywa (kukhethwe metric) weqembu ngalinye esikhathini ngasinye osikhombisile.

Esibonelweni esibonayo ukuthi ngokwesilinganiso kukhona isilinganiso sokugcinwa kwesibalo saso sonke isibalo sabasebenzisi be-4% ngeviki lokuqala (elinye elilandela isonto le-0, elihlonza ama-cohorts), le-1,63% ngeviki lesibili njalonjalo.

Ngaphakathi kweseli ngayinye, ungathola inani elilinganayo elihlobene neqembu elikhonjwayo kuphela: kusuka ekuqhathanisweni kwedatha yeseli ngayinye maqondana nalezo ezinye izigcawu zesikhathi esifanayo kanye nesibalo sezwe lonke kungenzeka ukuthola izinkomba ezibaluleke kakhulu maqondana Ukuziphatha kwabasebenzisi abavakashela indawo yethu.

Kuyini ukuhlaziywa kweqembu, nokuthi ulisebenzisa kanjani kangcono

Ngokuhlaziywa kweqembu, kungenzeka ukuthi uqonde kangcono indlela yokuziphatha kweqembu elinabasebenzisi bewebhusayithi yayo maqondana nesibalo sonke (Ukuziphatha kwabo kubonakala kumugqa wokuqala wegrafu).

Uhlobo luni lokuziphatha?

• Isibonelo, ngalokhu kuhlaziya uzokwazi ukuqinisekisa ukuthi ukunikezwa okuthile "kwesikhashana" kumakhasimende atholakalayo kulithinte kanjani inani lokugcinwa kwezivakashi zakho;
• Noma, ungasebenzisa ama-cohorts ukubheka ukuthi ukwethulwa kwesoftware entsha kube nomthelela enanini eliphakathi lamakhasi abukwa umsebenzisi ngamunye (i-PVV);
• o qinisekisa ukuthi ukwethulwa kwendlela ethile yokusatshalaliswa kokuqukethwe kubangele ukuthambekela okukhulu kokubuya kwabasebenzisi abacelwe ngeposi ku-Facebook;
• Ngaphezu kwalokho, ungabheka ikhwalithi yethrafikhi entsha eyenziwe ngokulandela umkhankaso othize okuhloswe ngawo ukuthola amakhasimende amasha, ngokuqhathanisa ukusebenza ngokuhamba kwesikhathi kwalaba bantu maqondana nabanye abantu ngesikhathi esifanayo.