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Iwo Epamusoro gumi Matambudziko Akaunzwa neKushambadzira otomatiki uye Maitiro Ekuadzivirira

Hapana kupokana kuti kushambadzira otomatiki inzira inoshamisa yekushandura dhijitari sangano rako, nzira yekuwana mari pakutaura zvinobudirira neako tarisiro uye vatengi, uye nzira yekudzikisa zviwanikwa uye basa rekutengesa nemaoko kwavari. Nechero zano rinoiswa musangano rinouyawo matambudziko mazhinji, zvakadaro. Kushambadzira otomatiki hakuna kusiyana.

Marketing Automation

Kushambadzira otomatiki kunoshandisa software uye tekinoroji kuita otomatiki uye kugadzirisa ekushambadzira mabasa, maitiro, uye mishandirapamwe. Zvinosanganisira kushandisa maturusi uye masisitimu kuronga, kuita, uye kuteedzera akasiyana ekushambadzira zviitiko mumatanho akawanda epamhepo. Kushambadzira otomatiki kune chinangwa chekuvandudza kushanda nesimba, kuita, uye hunhu mukuyedza kushambadzira, pakupedzisira kutyaira inotungamira chizvarwa, kubatanidzwa kwevatengi, uye kutengesa. Mimwe mienzaniso:

  • Drip Campaign: Drip mishandirapamwe ndeye otomatiki email akatevedzana akagadzirirwa kusimudzira vanotungamira kana vatengi nekufamba kwenguva. Vanotumira mameseji anotevedzana panguva dzakafanotsanangurwa kuita, kudzidzisa, uye kushandura vanogamuchira.
  • Autoresponders: Autoresponders inotumira otomatiki maemail akanyorwa kare achipindura kune chaiwo zvinokonzeresa kana zviito, sekusaina kunyorera tsamba yenhau kana kutenga.
  • Kutungamira Zvibodzwa: Kutungamira zvibodzwa kunopa huwandu hwenhamba kune vanotungamira zvichienderana nemaitiro uye kubatanidzwa, zvichibatsira kuisa pamberi uye kuona tarisiro yakanyanya kuvimbiswa yezvikwata zvekutengesa.
  • Email Marketing Automation: Izvi zvinosanganisira huwandu hwakasiyana hwezviitwa zveemail otomatiki, zvinosanganisira maemail anogamuchirwa, zviyeuchidzo zvengoro zvakasiiwa, uye kurudziro yechigadzirwa, kufambisa kutaurirana neemail.
  • Customer Relationship Management (CRM) Kubatanidzwa: Kubatanidza kushambadzira otomatiki neCRM system inobvumira kuteedzera zvirinani uye kugadzirisa kudyidzana kwevatengi uye data.
  • Social Media Automation: Social media otomatiki maturusi maturusi kuronga uye kutumira zvirimo pamapuratifomu emagariro, tonga kupindirana, uye kuronda mashandiro kuti urambe uripo pamhepo.
  • Personalization uye Segmentation: Otomatiki inogonesa vatengesi kugovera vateereri vavo zvichienderana nehuwandu hwevanhu, maitiro, kana zvavanofarira uye kuendesa zvemunhu zvemukati uye zvinopihwa kuboka rega rega.
  • Kuedza kweA/B uye Kugadzirisa: Zvishandiso zveotomatiki zvinogonesa kuyedzwa kweA/B kwezvinhu zvakasiyana mumashambadziro ekushambadzira (senge mitsara yenyaya yeemail kana magadzirirwo emapeji ekumhara) kuona kuti chii chinonyanya kuenderana nevateereri.
  • Peji Yekumisikidza uye Fomu Otomatiki: Otomatiki inorerutsa kugadzira nekugadzirisa mapeji ekumhara uye mafomu ekutora anotungamira uye kutyaira shanduko.
  • Workflow Automation: Workflow otomatiki inokwenenzvera mukati mekushambadzira maitiro, senge lead routing, mvumo, uye data syncing pakati pemasystem akasiyana, kuvandudza kushanda zvakanaka.

Kushambadzira otomatiki kune chinangwa chekuchengetedza nguva, kuderedza kushanda nesimba, uye kuendesa zvakanangwa uye zvinoenderana zvemukati kune vateereri chaivo panguva chaiyo yekusimudzira kutengesa uye kushambadzira mhedzisiro muinternet tekinoroji neminda yekutengesa. Saka, ndeapi anonyanya kunetsa ekushambadzira otomatiki matambudziko, uye kambani yako ingazvidzivirira sei?

1. Kukurukurirana Kuneta

Challenge

Kushambadzira otomatiki kunogona kutungamira kune yakawandisa kana isina kunyatsogadziriswa. Vanogamuchira vanogona kugamuchira maemail akawandisa kana mameseji, zvichikonzera kuneta uye kusashanda.

mhinduro

Masangano anofanira kuchengetedza rwendo rwakarongeka uye karenda. Kugovanisa vateereri vavo zvichienderana nemaitiro uye zvavanofarira kunoita kuti vanogamuchira vagamuchire zvinoenderana. Pamusoro pezvo, kushandisa frequency caps uye kubvumira vanogamuchira kutonga zvavanoda kunogona kubatsira kudzora huwandu hwekutaurirana.

2. Kuenderana

Challenge

Inoshanda segmentation uye personalization inotsamira pane chaiyo data. Kana iyo data yakashandiswa kupatsanura isiri yemazuva ano kana kuti yakarurama, meseji yacho inogona kunge isina basa kune vanoagamuchira, zvichikonzera kudzikiswa kwekuita.

mhinduro

Kuve nechokwadi chechokwadi chedata kunotanga nekuunganidzwa kwedata kwakasimba uye maitiro ekuongorora. Gara uchivandudza uye uchenese dhatabhesi yako yekubata kuti uchengetedze ruzivo rwakakwana. Shandisa cheki yekusimbisa data panguva yekupinda, uye shandisa inofambira mberi profiling kuunganidza imwe data nekufamba kwenguva. Chengetedza mari mumaturusi emhando yedata uye nguva nenguva ongorora kwaunobva data.

3. Zviitiko Zvisipo

Challenge

Kushaikwa kwemapoinzi ekusimbisa chiitiko kana zvinokonzeresa zvinogona kukonzera otomatiki kusapindura nenzira kwayo kune zviito zvemushandisi. Semuenzaniso, kana pasina humbowo hwekushandurwa, otomatiki inogona kusagadzirisa meseji zvinoenderana.

mhinduro

Kubatanidza mapoinzi ekusimbisa chiitiko uye kushandura mhinduro zvishwe kuita otomatiki workflows kwakakosha. Tsanangura zviitiko zvekushandura zvakajeka uye gadzira zvinokonzeresa zvinoenderana. Gara uchiongorora uye gadzirisa zvinokonzeresa izvi zvichienderana nedata rekuita kuti uve nechokwadi chemhinduro dzenguva kune zviito zvemushandisi.

4. Rwendo Kurongeka

Challenge

Kuve nechokwadi chekuti otomatiki inoenderana nerwendo rwemutengi kwakakosha. Kudimbura pakati peautomation workflow uye uko tarisiro iri murwendo rwavo inogona kutungamira mukushaikwa kwekukosha mukutumira mameseji.

mhinduro

Gadzirisa kushambadza otomatiki workflows nematanho erwendo rwemutengi. Nzwisisa zvinodiwa nevateereri vako uye marwadzo padanho rega rega, wobva wagadzirisa zvirimo uye kutumira mameseji zvinoenderana. Gara uchiongorora uye kugadzirisa yako otomatiki logic kuti uchengetedze kuenderana nekuchinja kwemutengi maitiro.

5. Content Maintenance

Challenge

Nekufamba kwenguva, zvirimo uye pfungwa dzinoshandiswa mukushambadzira otomatiki dzinogona kuve dzechinyakare. Kugara uchigadzirisa kwakakosha kuti uchengetedze otomatiki workflows inoshanda uye inoenderana.

mhinduro

Gadzira purogiramu yezvinyorwa uye kugadzirisa pfungwa. Gara uchiongorora uye kugadzirisa otomatiki mameseji, kuve nechokwadi kuti inoramba yakakosha uye ichiita. Shandisa vhezheni kutonga kwematemplate uye kufambiswa kwebasa, uye sanganisira vanobatana mukuita ongororo.

6. Kubatanidzwa

Challenge

Kusakwana kubatanidzwa nemamwe masisitimu uye data silos zvinogona kukanganisa kushanda kwekushambadzira otomatiki. Kuve nechokwadi chekuti ese akakodzera masisitimu uye data masosi zvakabatanidzwa zvisina musono zvakakosha.

mhinduro

Isa pamberi pekubatanidza isina musono pakati pekushambadzira kwako otomatiki chikuva uye mamwe masisitimu, akadai CRM uye e-commerce zvishandiso. Dhonza silos yedata nekuisa pakati data revatengi mudura rakabatana kana Customer Data Platform (

CDP) Ita shuwa kuti data inofamba zvakanaka pakati pemasisitimu kuti ipe maonero akakwana ekudyidzana kwevatengi.

7. Kuedza uye Optimization

Challenge

Automation workflows inogona kusaita nepaanogona napo pasina kuramba achiyedzwa uye optimization. Regular A / B yokuedzwa uye ongororo yakakosha pakuvandudza otomatiki mhedzisiro.

mhinduro

Gadzira tsika yezvinyorwa, kuyedza kuenderera, uye optimization. Ita bvunzo dzeA/B pazvinhu zvakasiyana zveako otomatiki workflows, kusanganisira mitsara yezvidzidzo, zvirimo, uye kufona-ku-chiito (CTAs) Ongorora mashandiro emetrics uye shandisa izvo zvinonzwisisika kunatsa yako otomatiki zano.

8. Kuteerera uye Kuvanzika

Challenge

Kuve nechokwadi chekuti otomatiki yekushambadzira inoenderana nemirairo yekuvanzika kwedata, senge GDPR or CCPA, kunokosha. Kusatevedzera zvinogona kukonzera nyaya dzemutemo uye kukanganisa zita rechiratidzo.

mhinduro

Gara uchiziva nezvemitemo yekuvanzika kwedata mumisika yako yaunoda. Shandisa maitiro akasimba ekutenderana uye ipa vanogamuchira sarudzo dzakajeka dzekusarudza-kupinda/kubuda. Gara uchiongorora uye kugadzirisa mutemo wako wekuvanzika kuti uve nechokwadi chekutevedzera mirau iri kubuda.

9. Kuzvimba

Challenge

Sezvo masangano anokura, zvavanoda zve otomatiki zvinogona kuchinja. Scalability matambudziko anogona kumuka kana otomatiki system isingakwanise kubata yakawedzera vhoriyamu kana kuoma.

mhinduro

Sarudza yekushambadzira otomatiki chikuva inogona kukwira nekukura kwesangano rako. Ronga yekuwedzera vhoriyamu uye kuomarara nekugadzira inoshanduka otomatiki workflows. Gara uchiongorora mashandiro epuratifomu uye scalability kugadzirisa zvingangoita mabhodhoro.

10. Nyanzvi Yekuvandudza

Challenge

Kushaikwa kwehunyanzvi uye kudzidziswa mukati mechikwata kunogona kuve dambudziko rakakura. Izvo zvakakosha kuti tive nenhengo dzechikwata dzinonzwisisa mashandisiro ekushandisa otomatiki maturusi nemazvo uye kutora mari pazvinhu zvitsva pavanenge vachibuda.

mhinduro

Chengetedza mari mukubvunzana, kudzidzisa, uye zvirongwa zvekusimudzira zvechikwata chako chekushambadzira. Ita shuwa kuti vane hunyanzvi uye hunyanzvi hwekushandisa zviripo otomatiki maturusi nemazvo kana kutsvaga matsva anogona kupa yakakura Royi. Kurudzira kuenderera mberi kwekudzidza uye chitupa mukushambadzira otomatiki mapuratifomu. Mazuva ano mapuratifomu ari kukurumidza kubatanidza AI tekinoroji, saka zvikwata zvako zvinofanirwa kuzvidzidzisa kuti zvitore mari mukufambira mberi uku.

Aya matambudziko anoratidza kukosha kwekunyatsoronga, manejimendi data, kuenderera mberi kwekugadzirisa, uye kurongeka kwehurongwa paunenge uchiita zvekushambadzira otomatiki. Kana iwe uchida rubatsiro kunyora, kubatanidza, optimization, uye kutonga yekambani yako yekushambadzira otomatiki nzira, taura nesu.

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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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