I-Facebook iwumngcele omusha kimi. Bengilokhu ngizijabulisa kakhulu kulezi zinyanga ezimbalwa ezedlule ngizama izici ezintsha ezicwebezelayo i-Facebook eyethule ukuheha abadali.I-Facebook ngokwayo ingase ingacwebezeli kangako, kodwa akunakuphikwa ukuthi inkulu kakhulu. Futhi kubadali abaningi, abanikazi bamabhizinisi abancane, nabakhangisi, kuyindawo enhle yokuthola izethameli ezintsha.Ngizokhuluma iqiniso, nakuba: ngisho ne-Facebook inabasebenzisi abasebenzayo abangaphezu kwezigidi eziyizinkulungwane ezintathu ngenyanga, futhi angi... Ukusebenza kwami kokuqukethwe kuye kwaba kuhle futhi kwageja.Ngakho-ke lapho usosayensi wedatha omkhulu we-Buffer, u-Julian Winternheimer, emba amaposi ku-Facebook angaphezu kwesigidi njengengxenye yocwaningo lwakhe lokubeka amazwana ezingxenyeni ezahlukene, ngangifisa ngempela ukubona ukuthi yini azoyithola.Ingabe ukuba phezulu kakhulu ekuphenduleni amazwana kungangisiza ngithuthukise ukufinyelela kwami?Impendulo emfushane: Yebo! Impendulo ende: Yebo, kungenzeka... Ake sikukhiphe lokho.Okuthunyelwe lapho abadali baphendule khona kumazwana bathole ukusabela okucishe kube ngu-9.5% ngaphezu kokuthunyelwe lapho bengaphendulanga khona. Lokho kungase kungezwakali njengenombolo ewisa imihlathi - ikakhulukazi uma kuqhathaniswa nokuphakamisa okungu-42% u-Julian atholakala ku-Threads noma u-30% ku-LinkedIn - kodwa endaweni ekhulile futhi ebanzi njenge-Facebook, ukuphakama kwedijithi eyodwa okungaguquguquki phakathi kokuthunyelwe okuyisigidi akuyona into engasakazwa. Izinombolo ezingahluziwe empeleni ziphakamisa okuphambene ekuqaleni - futhi kuthathe ukuhlaziya kwezibalo okuhlakaniphile ukuze kutholakale ukuthi kwenzakalani ngempela.📊Kunedatha yokuzibandakanya eyengeziwe lapho kuvela khona lokhu! Bheka umbiko wethu ogcwele we-State of Social Media Engagement Report 2026.
Gxumela esigabeni: Siyihlaziye kanjani idatha Ukuphendula kumazwana kuthinta kanjani ukuzibandakanya kwe-Facebook Kungani lokhu kubalulekile ku-Facebook Ungahlala kanjani uphezulu kokuphawula kwakho kwe-Facebook Ukubuyisela 'okomphakathi' ezinkundleni zokuxhumana
Indlela esiyihlaziye ngayo idathaAke sibe nerdy. U-Julian udonse cishe izigidi eziyisigidi ze-Facebook ezithole okungenani ukuphawula okukodwa, ehlanganisa ama-akhawunti abo bonke osayizi kanye ne-niches.Kunokuba aqhathanise Amakhasi amakhulu e-Facebook namancane (okungasitshela okuncane kakhulu), uqhathanise i-akhawunti ngayinye nokusebenza kwayo ngokuhamba kwesikhathi. Indlela - ebizwa nge-fixed-effects regression model - ibamba njalo zonke izinto ezenza i-akhawunti ngayinye ihluke: usayizi wezilaleli, i-niche, indawo, imvamisa yokuthumela. Konke lokho kungena kusisekelo.Ngakho-ke esikhundleni sokubuza "Ingabe Amakhasi E-Facebook aphendulayo athola ukuhlanganyela okuningi kunamakhasi angakwenzi?" siyabuza: "Ingabe leli khasi le-Facebook lenza kangcono uma liphendula liqhathaniswa nalapho lingakwenzi?" Uphinde wenza ukuhlaziywa kwe-Z-score njengesheke lesibili - ekala ukuthi kude kangakanani ngenhla noma ngaphansi "kokuvamile" okuthunyelwe ngakunye okwenziwe kuleyo akhawunti ethile. Zombili izindlela zikhomba ohlangothini olufanayo, okusinika ukuzethemba okukhulu ekutholeni.(Uma uthanda indlela yokusebenza egcwele - futhi ufuna amashadi engeziwe - ungabheka ukuhlaziya okugcwele kukaJulian kubhulogi yakhe.)Izinto ezimbalwa okufanele sizikhumbule ngaphambi kokuthi singene ezinombolweni: asikwazi ukusho ngokuqiniseka okuphelele ukuthi ukuphendula kubangela ukusabela okuphezulu. Kungenzeka ukuthi okuthunyelwe okusebenza kahle ngokwemvelo kuheha umsebenzi owengeziwe, futhi abadali bavele bakhuthazeke kakhulu ukuthi baphendule uma kunesigaba sokuphawula esibhidlayo.Idathasethi ka-Julian iphinda ilinganise ukusabela ngokuqondile (ukuthandwa, ukuthandwa, ukuhaha, njll.) esikhundleni sokuzibandakanya okuphelele - ukukhetha ngamabomu ukugwema ukuzungeza kokuhlanganisa amazwana kumethrikhi yokuhlanganyela, kusho uJulian wonke umphumela wokuhlola ingxenyekazi. kuhlaziywe, ngamakheshi asukela ku-5% kuya ku-42%. Lolo hlobo lokungaguquguquki kokuhlaziya into ososayensi bedatha abathanda ukuyibona. Kwenza okutholakele kukholiseke kakhulu.Indlela ukuphendula amazwana okuthinta ngayo ukuzibandakanya kwe-FacebookImodeli yemiphumela engaguquki kaJulian - ehlanganisa okuthunyelwe okungaphezu kwesigidi esingu-1 kumaphrofayela e-Facebook angu-97,427 - ithole ukuthi okuthunyelwe okunamazwana aphenduliwe kuthola cishe ukusabela okwengeziwe okungu-9.5% ngokwesilinganiso. Cishe u-53.8% wamakhasi e-Facebook enze kangcono uma ephendula. Ngamanye amazwi, okuthunyelwe okunamazwana aphenduliwe kuhlala kancane ngaphezu kokujwayelekile kwe-akhawunti ngayinyeizinga lokusebenza, kuyilapho okuthunyelwe ngaphandle kwamazwana aphenduliwe kuhambisa phezulu ngqo ekuqaleni. Leyo nombolo engu-"53.8%" kufanele imiswe isikhashana. Iningi elincane kunalokhu uJulian akuthola ku-Instagram (63%) noma i-LinkedIn (83%). Umthelela we-Facebook ubalulekile ngokwezibalo, kodwa unesizotha kakhulu - olandelela ngamaphethini enkundla okubandakanya abanzi, avuthiwe.Okunye okujabulisayo okungemuva kwesigcawu: Uma nje sibheke izinombolo ze-median eluhlaza, okuthunyelwe ngaphandle kwamazwana aphenduliwe empeleni kunokusabela okumaphakathi okuphezulu kancane (22) kunalawo anezimpendulo (16). Uma ubheka, lokho kubonakala kuphikisana nakho konke engisanda kukusho.Kodwa lokho kuqhathanisa kuyadukisa - kuhlanganisa amakhasi e-Facebook anosayizi abahlukene kakhulu namazinga omsebenzi. Lapho u-Julian eselawule lowo mehluko futhi waqhathanisa i-akhawunti ngayinye nayo, izinto zibukeka zihluke kakhulu (futhi wasinika izinombolo engizabele ngenhla).Kungani lokhu kubalulekile ku-FacebookI-Facebook iyisilwane esihlukile uma kuqhathaniswa nezinkundla ezintsha, eziningi ezidlulisa ingxoxo njenge-Threads noma i-LinkedIn.I-algorithm ye-Facebook ibeka phambili lokho ekubiza ngokuthi "ukusebenzelana okunenjongo" - namazwana, ikakhulukazi emuva naphambili ukuthi amasiginali anamandla, angenye yamasiginali aqinile. Uma uphendula amazwana, udala uchungechunge lwengxoxo olubonisa i-algorithm yokuthi okuthunyelwe kwakho kuvusa ingxoxo yangempela, hhayi nje ukuskrola okwenziwayo.Kunezizathu ezimbalwa zokuthi kungani lokhu kungase kuhumushele ekuphenduleni okuphezulu:Ukubonakala okunwetshiwe. Imicu yamazwana igcina okuthunyelwe kusebenza ekuphakeleni isikhathi eside. Yonke impendulo ingesinye isignali yomlilo ku-algorithm engase iveze kabusha okuthunyelwe ukuze kube nokuxhumana kwababeka amazwana - kanye nanoma ubani omunye owake wahlanganyela nekhasi lakho ngaphambilini.Izimpawu zobudlelwane. I-Facebook ilandelela umlando wokusebenzelana phakathi kwama-akhawunti. Uma uphendula ngokungaguquki kumazwana othile, inkundla ibhalisa lolo xhumo futhi maningi amathuba okuba ibonise okuthunyelwe kwakho kwesikhathi esizayo kubo. Ngokuhamba kwesikhathi, lokhu kuhlangana okuncane.Ubufakazi bomphakathi. Isigaba samazwana esisebenzayo esinezimpendulo ezivela kumdali noma umkhiqizo ubonisa ukuthi kukhona umuntu wangempela ngemuva kwekhasi. Abantu kungenzeka bayeke ukuskrola futhi basabele lapho bebona ukuthi umdali ukhona ngempela engxoxweni.I-lift engu-9.5% ingase izwakale inesizotha eduze kwe-Threads' 42%, kodwa umongo ubalulekile. Ubukhulu be-Facebook busho ukuthi ngisho nokwenyuka kwephesenti elincane lokusabela kungahumushela kubantu abaningi ababonayo futhi bazibandakanye nokuqukethwe kwakho. Futhi ngokungafani namanye amaqhinga aqondene nenkundla, ukuphendula amazwana into ongaqala ukuyenza njengamanje ngaphandle kwamathuluzi engeziwe, isabelomali, noma ukulungisa amasu angenalutho. Ungahlala kanjani uphezu kwamazwana akho e-FacebookUma uphethe Ikhasi le-Facebook eceleni kwezinye izinkundla (ubani ongeyena?), ukuhambisana namazwana kungase kuzwakale njengomunye umsebenzi wesikhathi esigcwele.Nazi izindlela ezimbalwa ezingisiza ngazo, i-LinkedIn, i-YouTube yonkana engisizile, ngifunde ku-Instagram yami yonkana, ngifunde I-TikTok, ne-Facebook:Isikhathi vimba izimpendulo zakhoKunokuba uzame ukuphendula wonke amazwana angawodwa (okungenzeka angakwazi ukusimamisa njengoba ukhula), nikela ngamawindi amabili emizuzu eyi-10 kuya kweyi-15 usuku ngalunye ukuze ubeke amazwana. Ekuseni nasekuseni kuvame ukusebenza kahle — uzothola ukuphawula kwakho kokubili kwabaskrola ekuseni kanye nesixuku sangemva komsebenzi. Beka kuqala izingxoxoA "siyabonga!" impendulo ilungile, kodwa akuyona into eshayela i-flywheel yokuzibandakanya. Zama ukubuza umbuzo wokulandelela noma ukwengeza imininingwane egcina uchungechunge luqhubeka. "Umbuzo omuhle kakhulu - ingabe uke wazama..." noma "Iphuzu elihle lelo, empeleni sithole ukuthi..." izinhlobo zezimpendulo ezivame ukukhiqiza umsebenzi owengeziwe.Phendula ngenkathi okuthunyelwe kukusha (uma ungakwazi)Njengezinkundla eziningi, i-algorithm ye-Facebook inikeza ukuzibandakanya kwangaphambi kwesikhathi isisindo esinzima. Uma ungangena emazwaneni phakathi namahora ambalwa okuqala ngemva kokuthumela, maningi amathuba okuthi uvuse ukusabela okwengeziwe ngenkathi okuthunyelwe kusasakazwa. (Lapha yilapho ukuthumela ngezikhathi lapho utholakala khona ngempela ukuze uhlanganyele kuba inzuzo yangempela.)Sebenzisa ithuluzi eligcina yonke into isendaweni eyodwaUma usebenza ku-Facebook nakwezinye izinkundla ezimbalwa, ukugxuma phakathi kwezinhlelo zokusebenza zokuphatha amazwana kuguga ngokushesha. Ithebhu yomphakathi we-Buffer idonsa wonke amazwana akho kuzo zonke izinkundla iwayise kudeshibhodi eyodwa - futhi ungaphendula ngokuqondile laphongaphandle kokuvula i-Facebook futhi udonswe kokuphakelayo. Kumahhala kuma-akhawunti omphakathi afika kwamathathu.Kuphinde kube nesici samaphuzu wamazwana esilandelela ukungaguquguquki kwempendulo yakho ngokuhamba kwesikhathi — cabanga ngakho njenge-traak tracker yokuzibandakanya. Kuyasiza ukushintsha ukubeka amazwana kokuthile okhumbula ukukwenza ngezikhathi ezithile kube umkhuba wangempela.Ukubuyisela 'okomphakathi' ezinkundleni zokuxhumana Ukuhlaziya kukaJulian kwenkundla okuhlanganisa izigidi zokuthunyelwe, futhi i-Facebook's reaction lifts engu-9.5% ihlala ekugcineni okuphansi kwe-spectrum. Kodwa "isiphetho esiphansi" akusho ukuthi akusizi - ifanele inkundla lapho amaphethini okuxhumana ebanzi futhi ehluka kakhulu kunakumanethiwekhi okuqala ezingxoxo njenge-Threads.Engilokhu ngibuyela kukho ngale datha - kuyo yonke i-Facebook kanye nayo yonke enye inkundla uJulian ahlaziywe - yindlela elula eqabulayo yokuthatha. Awudingi ukuqhekeza ikhodi ethile eyimfihlo noma uthole i-lophole ku-algorithm. Ubonisa nje abantu ababonise wena.Ukuphakamisa okungu-9.5% akuqinisekisiwe kuwo wonke amaKhasi e-Facebook (khumbula, cishe u-54% wamaphrofayela ocwaningo luka-Julian abone imiphumela emihle), kodwa amathuba ancike kuwe uma uzimisele ukubeka isikhathi. Futhi endaweni enokufinyelela ku-Facebook, ngisho nokukhula okulinganiselwe, okungaguquguquki ekuphenduleni kungenza umehluko wangempela ngokuhamba kwesikhathi.Ukuze uthole incazelo egcwele yalokho okutholwe ngu-Julian kuzo zonke izinkundla eziyisithupha, hlola isifundo sethu sokusebenzelana kwezingxenyekazi ezihlukene.Okwengeziwe Izinsiza ze-FacebookIsebenza kanjani i-Algorithm ye-FacebookUngathola abalandeli abengeziwe ku-FacebookIndlela Yokwandisa Ukuzibandakanya Kwekhasi le-FacebookIsikhathi Esingcono Kakhulu Sokuposa ku-Facebook Yebhizinisi
