I-YouTube Analytics Yabaxoxi Bezindaba: Ukufunda i-Retention Curve Njengendaba

Ukuze usebenzise i-analytics njengomxoxi wezindaba, yeka ukufunda i-retention graph njengenombolo nje kodwa qala ngokuyifunda njengomlando wendaba. Umugqa owehlayo ku-1:40 akuyona "inkinga ye-retention", yisekhondi eliqondile lapho indaba yakho iyeke khona ukuzuza umzuzu wayo olandelayo. I-graph ikutshela ukuthi kuphi; yisikhathi sakho kuphela sokutshela ukuthi kungani, futhi isizathu esiningi saso sisesinqumeni sokuxoxa indaba, hhayi kudatha.

Ngiye ngakubona lokhu ngesikhathi ngigqolozele ukwehla engangingakwazi ukukuchaza. Ividiyo eyodwa yalahlekelwa yingxenye enkulu yababeleyi eduze kophawu lwemizuzu emibili, esigabeni esasisihle kakhulu kimi. Ngakho-ke ngaphinde ngayibuka kuleso sikhathi, futhi nangu mina, ngiphinda lokho engase ngikukhombisile emizuzwini engamashumi amathathu edlule. Idatha yayingangitsheli ukuthi ukuhlela (editing) konakele. Yayingitshela ukuthi indaba imile, ngangiyekile ukuyisa phambili futhi ngase ngiqala ukuziphinda, futhi abantu bakuzwa lokho ngaphambi kokuba ngikuzwe mina. Yilowo mnyakazo wonke: i-curve yilapho indaba yakho iyehla khona, futhi umsebenzi wakho ukuthola lokho kwehla bese uyakuquma.

Le bhulogi imayelana nokufunda i-analytics ngendlela umbhali afunda ngayo umbhalo osalungiswa (draft). Uma ufuna ama-metric benchmarks, ukuthi i-CTR "enhle" noma i-average view duration empeleni iyini, yini ejwayelekile ngobude bevidiyo yakho, lokho kutholakala esihlokweni esihambisana nalesi, esithi How to Read YouTube Analytics: The Metrics That Actually Matter. Lapha ngilandela into eyodwa kuphela: isimo somugqa, nokuthi sithini ngendaba engaphansi kwawo.

Baphelela kuphi ababukeli, futhi kungani?

Ababukeli bashiya phansi ngesekhondi eliqondile lapho indaba iyeka khona ukubaluleka komzuzu wabo olandelayo, futhi i-audience retention graph ku-YouTube Studio ikukhombisa lelo sekhondi ngendlela eqondile. Ihlela amaphesenti abantu abasabukele kuwo wonke amaphuzu evidiyo, ngakho-ke "abantu bayahamba" iba "abantu bayahamba lapha", isikhathi (timestamp) ongasivula uphinde usibuke. Ukwehla akwenzeki ngengozi. Iya kuleso sikhathi futhi uzothola imbangela khona lapho: ukuphinda izinto, ukuphambuka esihlokweni, isethulo esithathe isikhathi eside, noma isithembiso isigcawu esingasigcinanga.

Isizathu salokhu esenza kubaluleke kumxoxi wezindaba ukuthi i-graph ithembekile ngendlela ongeke ukwazi ukuba ngayo ngomsebenzi wakho. Uyazi ukuthi ubufuna isigcawu senzeni. I-curve yona iyazi ukuthi senzeni ngempela. Lapho lokhu kungqubuzana, i-curve iqinisile.

Ngikufunda kanjani ukwehla kwemizuzwana engama-30 yokuqala?

Ukwehla okuncane emizuzwaneni eyi-15–30 yokuqala kujwayelekile, yilapho abantu banquma khona ukuthi isingeniso sakho sisigcinile yini isithembiso saso. Ukwehla okushonayo lapho kusho ukuthi isingeniso siphule isivumelwano: isihloko ne-thumbnail kuthengise into eyodwa kanti imizuzwana embalwa yokuqala ilethe enye into, noma bekungekho hook nhlobo, kumane nje kuphakulwa ngaphambi kokuba ividiyo yangempela iqale.

Phatha imizuzwana engama-30 yokuqala njenge-cold open yefilimu. Inomsebenzi owodwa kuphela, ukukholisa umbukeli ukuthi imizuzu eyisishiyagalombili elandelayo ibalulekile. Izethulo eziningi ezibuthakathaka zihluleka ngendlela efanayo: zichaza okuzayo esikhundleni sokuqala ngakho. "Kule vidiyo ngizonikhombisa izinto ezintathu" ngumuntu obambezela isikhathi. Ukuqala ngomzuzu omangaza kakhulu, umbuzo, noma umphumela, bese ubuyela emuva, ngumuntu ohlonipha isikhathi sombukeli. Kwenye yamavidiyo ami, inzuzo enkulu kakhulu ye-retention yavela ngokususa i-animation yethulo enhle kakhulu eyayidlala ngaphambi kokuba kwenzeke noma yini, i-graph yakhombisa udonga lwabantu abahambayo ngesekhondi elifanayo njalo, futhi isixazululo kwaba inkinobho yokususa (delete key).

Kusho ukuthini ukuba nomugqa we-retention oyisicaba?

Umugqa we-retention oyisicaba, isigaba eside, esithambile, esicishe silingane, yisona simo esihle kakhulu ku-graph, futhi yisona esingavamile kakhulu. Kusho ukuthi ababukeli bahlala kuso sonke leso sigaba ngaphandle kokuhamba, okuyindlela isigcawu esenza umsebenzi waso esibukeka ngayo. Ufuna ukuthi umugqa wehle kancane kancane nangokungaguquki, njengendaba egcina ukudonsela phambili kancane kuyo yonke indlela.

Lokho ongakufuni iwawa (cliff): ukwehla okucishe kuqonde phezulu nesikhathi esithile. Iwawa isigcawu esisodwa esibi, isikhathi lapho indaba imile khona, ukuphambuka okulahlekise umkhondo, noma isigaba esithathe isikhathi eside kakhulu. Amawawa ayizinto ezilula kakhulu ukuzilungisa kuyo yonke i-dashboard, ngoba i-graph ikunika isikhathi esiqondile. Ivule, iyibuke njengomfokazi, futhi uvame ukuzwa isithukuthezi sika khona lapho ngesekhondi elifanayo ababukeli bakho abasizwe ngalo.

Kusho ukuthini ukukhuphuka (spikes) nokuphinda kubukwe?

Ukukhuphuka okuncane emugqeni we-retention, kwesinye isikhathi okukhonjiswa njengezigaba ezikhanyayo, yizikhathi lapho abantu babuyisele emuva (rewound) baphinde babuka futhi. Leyo yinto yakho enamandla kakhulu: ukudalulwa kwento, ithiphu efanele ukubukwa okwesibili, umugqa ohlabile, noma okubonwayo abantu abafuna ukukuphinda. Ukukhuphuka (spike) ngababukeli abakutshela ngokuziphatha kwabo ukuthi, senze okuningi kwalokhu.

Abadali abaningi bafunda kuphela ukwehla. Funda nokukhuphuka ngamandla afanayo. Ukwehla kukutshela ukuthi yini okufanele uyisuse; ukukhuphuka kukutshela ukuthi yini okufanele wakhe ividiyo elandelayo ngayo. Uma isigaba semizuzwana engama-40 siphinde sabukwa kanti enye ividiyo ayibukwanga, kungenzeka ukuthi usanda kuthola ividiyo yangempela ecashe ngaphakathi kwenye ende, ebuthathaka.

Ngikuguqula kanjani ukufundwa kwe-retention kube yividiyo elandelayo engcono?

Funda i-curve kanye njengomgxeki, bese wenza ushintsho olulodwa kuphela kuvidiyo elandelayo bese ubuka ukuthi i-curve iyakhetheka yini. Umgibe ukulungisa izinto ezinhlanu ngesikhathi esisodwa bese ungafundi lutho, ngoba i-graph yeviki elizayo ngeke ikwazi ukukutshela ukuthi yikuphi ukulungisa okubalulekile. Khetha ukwehla okubi kakhulu, chaza ukuthi yini ebukubangele ngamagama acacile, ngiphindile izinto, isingeniso sibambezelekile, ingxenye ephakathi idukile, bese ubhala umbhalo olandelayo ugweme leyo nto eyodwa.

Umkhuba owusizo: ngaphambi kokuba ushicilele, funda umbhalo wakho ngendlela i-graph eyayizowufunda ngayo. Iphi indaba emisa khona? Iphi ingxenye lapho uchaza khona esikhundleni sokukhombisa? Iphi ingxenye oyigcinile ngoba bekunzima ukuyishutha, hhayi ngoba izuza indawo yayo? I-retention curve izozithola lezo zindawo ngemuva kokwenza. Indlela eshibhile ukuzithola ngaphambi kwalokho.

Lapho i-VidSeeds.ai ingena khona

I-VidSeeds.ai iyithuluzi langaphambi kokulayisha (pre-upload tool), ngakho-ke yenza umsebenzi wayo ngaphambi kokuba i-retention curve ibe khona, ngeke ikwazi ukufunda i-graph engakenzeki, futhi ngeke izenzise ukuthi iyayenza. Lokho ekwenzayo esikhundleni salokho ukusiza ngezinqumo zendaba ezakha i-curve kamuva. Ihlaziya ividiyo yangempela, inkulumo, izigcawu, incazelo, bese ibhala isihloko, incazelo, amathegi, izahluko, ne-thumbnail ye-YouTube, kanye ne-TikTok, Instagram, Facebook, LinkedIn, ne-X uma ushicilela lapho, ngezilimi ezingama-85. Ubuyekeza futhi uhlele konke ngaphambi kokuba noma yini iye bukhoma.

Ingxenye ethinta ukufundwa kokuxoxwa kwendaba yi-channel intelligence yayo: xhuma isiteshi sakho futhi ibheka lokho osekuvele kusebenza kuwo wonke amavidiyo akho, izethulo, izihloko, amaphethini abambe abantu, bese isungula iziphakamiso zayo ekusebenzeni kwakho kwangempela esikhundleni sezeluleko ezijwayelekile. Ingakusiza ukuba upakishe indaba ngokwethembeka futhi ubone lapho ujwayele ukulahlekelwa khona ngabantu. Ngeke ikwazi ukulungisa indaba okungekho muntu ofuna ukuyizwa; alikho ithuluzi elingenza lokho. Iyindlela ehlukile ezimele efanele ukubekwa eduze kwe-vidIQ ne-TubeBuddy, futhi ungaqala mahhala ngama-Seeds angama-50, ngaphandle kwekhadi.

Imibuzo Evame Ukubuzwa

Ngiyisebenzisa kanjani i-YouTube analytics ukuze ngixoxe izindaba ezingcono?

Funda i-audience retention graph njengebalazwe elikhombisa lapho indaba yakho iyehla khona. Thola izikhathi lapho ababukeli behla khona, vula lezo zikhathi eziqondile, futhi uvame ukuthola imbangela yokuxoxa indaba, ukuphinda izinto, ukuphambuka, isethulo esinensayo, noma i-hook engazange isebenze. Sika noma uqinise lokho kuvidiyo elandelayo, shintsha into eyodwa ngesikhathi, bese ubuka ukuthi i-curve iyathuthuka yini.

Kusho ukuthini ukwehla okushonayo ekuqaleni kwevidiyo?

Ukwehla okubukhali emizuzwaneni eyi-15–30 yokuqala kuvame ukusho ukuthi isingeniso siphule isithembiso, isihloko ne-thumbnail kubeke okulindelwe okuthile kwathi imizuzwana embalwa yokuqala yaletha enye into, noma ividiyo ibambezelekile ngesingeniso ngaphambi kokuba okuqukethwe kwangempela kuqale. Phatha isingeniso njenge-cold open: qala indaba, ungayimemezeli.

Uyini umehluko phakathi kokwehla kancane kancane newawa (cliff) ku-retention graph?

Ukwehla kancane kancane, okuthambile kunempilo, ababukeli bahamba kancane kancane njengoba indaba ejwayelekile iphela. Iwawa ukwehla okucishe kuqonde phezulu nesikhathi esithile, okukhomba esigcawini esisodwa esibi: ukuphambuka, isikhathi esifile, noma isigaba esithathe isikhathi eside kakhulu. Amawawa ayizinto ezilula kakhulu ukuzilungisa ngoba i-graph ikukhombisa isikhathi esiqondile sokusika.

Ingabe kufanele nginake ukukhuphuka (spikes) kwe-retention?

Yebo. Ukukhuphuka okubheke phezulu noma izigaba ezikhanyayo emugqeni we-retention kukhombisa izikhathi lapho abantu babuyisele emuva baphinde babuka, okuyizinto zakho ezinamandla kakhulu. Zifunde eduze njengokwehla, ngoba zikutshela ukuthi yini okufanele wenze okuningi kwayo, futhi kwesinye isikhathi ziveza ividiyo engcono, eqinile ecashe ngaphakathi kwenye ende.