Kufambira mberi kwehunyanzvi kwakashandura mitemo yemutambo webhizinesi. Munguva pfupi yapfuura, kuvepo pamhepo yaive rombo rakanaka rakachengeterwa hofori dzemakambani chete, asi nhasi, panorama yabuda zvakajeka.
Nhasi, maSME anowana maturusi akakosha. 10 nzira dzekushambadzira mumadhijitari ekushambadzira nzira kuti urarame uye kumira kunze muchikamu chavo. Aya matekiniki anova akakosha kuronga nzira yekubudirira munyika yebhizinesi.
1. Simba rekunyengetedza zvinyorwa
Kunyengetedza zvemukati chave chinhu chepakati pakavakirwa maonero emhando. Kubata pfungwa dzeveruzhinji kunoda zvinopfuura b2b email chinyorwa kungozivisa, kunoda kunyengetedza. MaSME anoda kumira mushe anofanirwa kugadzira zvinoyevedza zvemukati zvinoenderana uye zvine hukama nevateereri.
Nokuda kweizvi, zvinodikanwa kunyatsonzwisisa zvinodiwa uye zvishuwo zvevateereri vanotarirwa. Dhijitari yekushambadzira agency, ine ruzivo rwemunharaunda, inogona kukutsigira zvinobudirira mukuvandudza maitiro aya.
Pamusoro pekuziva zvakasarudzika zvemusika mune yako chaiyo chikamu, iwe unofanirwa kuchinjisa zvirimo kuti zvinyatsoenderana nevateereri veko. Kusarudzika uye kukosha zvinhu zvakakosha zvekunyengetedza vatengi kuti chinopihwa cheSME chako chinozadzisa zvavanoda.
Kuburikidza nemablogiki, mavhidhiyo, infographics uye mamwe mafomati iwe unogona kutaura nyaya dzinosimbisa yako brand kukosha uye kupa mhinduro kumatambudziko evatengi.
Zvinhu zvekunyengetedza zvemukati
Kuti zvemukati zvionekwe sezvinonyengetedza, zvinofanirwa kusanganisira zvinotevera zvinhu:
- Inokwezva misoro : inotora japan data pfungwa kubva pakutanga.
- Emotion uye kubatana : vanokwezva manzwiro kuti vaunze kufarira.
- Kujeka uye kubatana : zvakananga uye nyore kunzwisisa meseji.
- Humbowo uye data : yakasimbiswa nehumbowo, nhamba kana zvipupuriro.
- Kudaidzira-ku-chiito (CTA) : Sanganisira mirairo yakajeka pane yaunoda kuita.
- Featured Benefits – Simbisa kuti muverengi anobatsirwa sei.
- Ngano Dzekunyengetedza – Nganonyorwa dzinoenderana nevateereri.
- Inokwezva dhizaini : zvinoonekwa zvinhu zvinozadzisa zviri mukati.
- Alignment nevateereri : yakagadziridzwa kune zvinodiwa uye kukosha kweveruzhinji.
- Mhinduro uye kuenderera mberi nekuvandudza : Kugadzirisa zvichienderana nemhinduro kuti uwedzere hunyanzvi hwekunyengetedza.
2. Social network: kupfuura zvechinyakare advertising
Kunyangwe zvisina kunanga, kuvepo kunoshanda pasocial network kunobatsira kune yakasimba webhu chinzvimbo muMadrid . Izvi hazvifaniri kutishamisa. Aya maapplication akashanduka zvakanyanya kushambadzira kwedzidzo: nzira dzekushambadzira dzedhijitari kuzvikoro mumakore achangopfuura uye akakosha kwazvo edhijitari vanobatana.
Kupesana nezvinofungwa nevakawanda, haazi mapuratifomu ekushambadzira chete asi nzvimbo dzekudyidzana uye kuvaka nharaunda . Vashandise kune mukana wako kuti uwedzere maitiro ako munzvimbo idzi kuburikidza nemaitiro anopfuura echinyakare kusimudzirwa.
Interactive content
Politi , makwikwi, uye nharo inzira dzinoshanda dzekubata vateereri vako. Ita shuwa yekusimudzira kubatanidzwa kubva kune vateveri vako. Izvi zvinogadzira pfungwa yekuve wevamwe inosimbisa kuvimbika kwechiratidzo.
Uyezve, kufambidzana nguva dzose kune mhedzisiro yakanaka pane algorithms yesocial platforms. Zvese izvi zvinogonesa kuwedzera kunoonekwa mukuonekwa kwemukati uye inowedzera kusvika uye kukosha kweiyo mhando munzvimbo yedhijitari.
Online reputation management
Social media inzira ine simba yebhizinesi reputation management . Kupindura kumhinduro uye ongororo, ingave yakanaka kana yakaipa, inoratidza pachena uye kuzvipira kune vateereri vako. Kudyidzana kwakananga uku kunofarira kuvakwa kwemukurumbira wakasimba wepamhepo, chinhu chakakosha mukuwana kuvimba neveruzhinji.
Mukurumbira wepamhepo chinhu chakatanhamara chekukwezva vatengi vatsva uye kuchengetedza varipo . Mhinduro yega yega uye kutaurirana kunoumba maonero emhando. Izvi zvinokanganisa kuita sarudzo yevatengi.
Naizvozvo, kuzvipira kuchengetedza huvepo hunoshanda uye hunoteerera pasocial media kunobatsira zvakanyanya pakuvaka mukurumbira wakanaka uye unogara.
3.Localized SEO: tonga niche yako yemusika
Localized SEO inotarisa pakugadzirisa imwe webhusaiti kuti ive pachena mukutsvaga kwenzvimbo . Kureva, kugadzirisa zvirimo uye hurongwa hwekusangana nezvinodiwa chaizvo zvevateereri mune imwe nzvimbo.
Ndiyo imwe yedhijitari yekushambadzira nzira kwaunofanirwa kunge uri zvisinei.
SEO mitengo inosiyana , asi mari yacho yakakosha kana iwe uchifunga nezve mabhenefiti enguva refu. Iwe unofanirwa kugara wakatarisa pakugadzirisa kwenzvimbo kuvandudza kuoneka kwako uye kusimbisa hukama nenharaunda.
Local Keyword Optimization
Izvo zvakakosha kuti utsvage mazwi akakosha anotarisa panzvimbo, zvigadzirwa kana masevhisi ebhizinesi rako diki kana repakati.
Semuyenzaniso, kana SME yako ichitengesa zvinhu zvakagadzirirwa muno muMadrid, mazwi akaita sekuti “ Madrid design ” kana “ artisanal products in Madrid ” anogona kukwezva vatengi veko vanokoshesa uye vanoda kutsigira kugadzirwa kwemuno.
Iri zano rinowedzera kuoneka kwako pakati pevateereri venzvimbo uye zvakare rinokutendera kuti ubatane nevatengi vakazvipira kutsigira kugadzirwa kwedunhu. Kana iwe uchitarisa pane chaiwo mazwi enzvimbo uye zvigadzirwa, bhizinesi rako rinova nyore kuwanikwa uye rakakodzera.
Geolocated zvemukati marongero
Kugadzira zvemukati zvakanangana nezviitiko zvemunharaunda, nzvimbo, uye nhau zvinowedzera kukosha kwechigadzirwa chako uye kunosimbisa hukama nenharaunda. Kubatanidza utsigiro uye kudyidzana kunobatsira iwe kumisikidza zvakananga zvinongedzo nevateereri vekwako.
Kuedza uku kunosimbisa kuvepo kwako uye kuisa brand yako sechikamu chakakosha chenharaunda. Kana iwe uchitsigira zviitiko zvemunharaunda, bhizinesi rako rinozviratidza senhengo inoshanda iyo inobatsira kusimba renharaunda. Nokudaro, iwe unogadzira maitiro akanaka uye anogara kwenguva refu.
4. Influencer marketing: Nzira ine simba yeSMEs
Influencer marketing inzira yekushambadzira inoshandisa vanhu vane simba pasocial network kusimudzira zvigadzirwa kana masevhisi . Vanhu ava, nevateveri vakavimbika, vanogadzira zvinhu zvechokwadi uye zvinonyengetedza, zvichigadzira hukama hwechokwadi nevateereri vavo.
Ma brand anodyidzana navo kuti vawedzere pesvedzero yavo uye vasvike kune vateereri vatsva zvinobudirira. Mushandirapamwe une vapesvedzera unobatsira kuvaka hukama hwakasimba pakati pemhando nevatengi. Zvese izvi, kuburikidza neakavimbika kurudziro uye zvinoyevedza zvemukati.
Kuzivikanwa kwevanofurira munharaunda
Kuziva hunhu hwenzvimbo hwakakodzera kunoreva kusarudza vanofurira vane hunhu uye vateereri zvinoenderana nechitupa chako . Kupfuura kungokwana kwenhamba, huchokwadi hunotsvakwa mukubatana kuchengetedza kuvimba neveruzhinji.
Kuvimbika kwakakosha kumisa hukama hune musoro pakati peanofurira nevateereri vavo , nokudaro zvichisimudzira mashandiro edanidziro. Kana kubatana pakati pechiratidzo uye mukurumbira kuri kwechokwadi, zvinokwanisika kusimbisa maonero akanaka ebhizinesi uye kukurudzira kuvimbika kwevatengi kwenguva refu.
5.Marketing Automation: Shanda Yakangwara, Kwete Yakaoma
Kushambadzira otomatiki chimwe chinhu chakakosha kune maSME. Inopa nzira inoshanda yekugonesa mashandiro uye kuwedzera kusvika kwako. Iko kugona kuronga uye kuita kudzokorora mabasa zvinobudirira kuchengetedza yakakosha nguva uye zviwanikwa.
Zviri pamusoro pekugadzira inoshanda nguva manejimendi . Zvishandiso zvehunyanzvi zvinoita kuti zvive nyore kugovera vateereri, kugadzirisa mameseji, uye kuronga kutumira. Zvichitaurwa zviri nyore, inovandudza kushanda kwese kwekushambadzira mishandirapamwe.
Iyi otomatiki inosvika kunzvimbo dzakasiyana siyana , senge masocial network, kushambadza uye kuongorora. Kuita otomatiki workflows kunovimbisa kuti kudyidzana kwevatengi kunowiriraniswa uye kunoenderana nemafambiro avo.
Kuita tsika iyi kwakakosha kukwidziridza kukosha kwezviri mukati uye kuwedzera shanduko . Kana mabasa emaoko akarerutswa, otomatiki inobvumira maSMB kuti atarise pakugadzira uye zano.
Iwe unozoona kuti kukanganisa kwekuedza kwekushambadzira kunowedzerwa sei. Zviwanikwa zvinonangidzirwa kukugadzira zvinyorwa zvitsva uye matekiniki anosimbisa kubatana nevateereri. Mhedzisiro yacho ichave yakanyanya kushamisira mumunda wedhijitari.
6. Vhidhiyo yekutengesa: Kutaura nyaya kuburikidza nemifananidzo inofamba
Kushambadzira kwevhidhiyo kwave chinhu chakakosha chemaitiro edhijitari eSMEs. Kuburikidza nemapuratifomu akaita seYouTube, Instagram uye TikTok, makambani anogona kutaura nyaya zvinoonekwa uye kubatana nemoyo nevateereri vavo.
Kugadzira zvemhando yepamusoro, ingave muchimiro chetutorials, zvipupuriro kana zvekugadzira kushambadzira, zvinovatendera kuti vamire munzvimbo izere-ruzivo.
Pamusoro pezvo, nzizi dzepamoyo dzinopa mukana wekudyidzana zvakananga nevateereri vako munguva chaiyo . Izvi zvinovaka kuvimba uye chokwadi. Kana mavhidhiyo aenda kuhutachiona pasocial network, iwe unokwanisa kutora kutarisisa kukuru, kuwedzera kuoneka uye kuzivikanwa kwemhando.
7. Chatbots: Personalized kudyidzana 24/7
Chatbots inopa yakasarudzika uye inoshanda mushandisi ruzivo . Aya chaiwo vabatsiri vanogona kupindura mibvunzo inowanzo bvunzwa, kubatsira nekufamba pawebhu, uye kupa ruzivo rwakakodzera ipapo ipapo.
Chatbots ari kubuda semhinduro inowanikwa kune mabhizinesi madiki uye epakati nekuti anogara achipa vatengi sevhisi . Mukuwedzera, ivo vanobvumira kuenderera mberi kuvepo kwepamhepo nechinangwa chekuvandudza ruzivo rwemushandisi. Mune mamwe mazwi, inofambisa kudyidzana maawa makumi maviri nemana pazuva.
Kuburikidza nehungwaru hwekugadzira , chatbots inogona kudzidza uye kugadzirisa sezvavanodyidzana nevashandisi. Kutaura zvazviri, nekufamba kwenguva vanokwanisa kupa mhinduro dzakanyatsojeka.
Ivo vane kugona kuunganidza data pane zvinodiwa nevatengi uye zvinodiwa . Iri sosi rinopa maSME ruzivo rwakakosha kugadzirisa maitiro avo ekushambadzira uye kukwidziridza magadzirirwo emasevhisi akasiyana.
8. Email marketing mazano
Kunyangwe email kushambadzira kwave kuripo kwenguva yakareba, kushanda kwayo kunopfuurira muzera redhijitari. MaSME anogona kumira pachena mumabhokisi evatengi vavo kuburikidza nemaitiro matsva.
Kuita zvemunhu maemail , kupatsanura vateereri, uye kubatanidza mitsara yenyaya inokwezva zvinhu zvakakosha zvekutarisira kutora pfungwa.
Kubatanidza zvinhu zvinoonekwa, zvakaita semifananidzo inokanganisa uye kufona kwakajeka kwechiito, kunosimudzira kutaurirana mune chero nzira yedhijitari. Otomatiki mukushambadzira email inofambisa kutumira kwakawanda kwemameseji emunhu panguva dzakarongwa. Izvi zvinosanganisira zviyeuchidzo zvengoro dzekutenga dzakasiiwa kana kukwazisa zuva rekuzvarwa.
Chiito chega chega chinonatsa ruzivo rwemushandisi uye chinosimbisa kubatana nemutengi. Paunokwirisa maturusi aya, unowedzera kushanda kwemishandirapamwe yako uye unovaka hukama hwakasimba hunosimudzira kutendeka kwenguva refu kwemhando.
9. Yakawedzerwa uye chaiyo chaiyo: Kupfuura zvakajairwa
Augmented reality (AR) uye chaiyo chaiyo (VR) haisisiri yega kuindasitiri yevaraidzo uye yave maturusi ane simba ekushambadzira. MaSME anoshandisa matekinoroji aya kupa zviitiko zvinonyudza kune vatengi vavo. Semuenzaniso, kuburikidza ne3D chigadzirwa kuona uye kusikwa kwezviratidziro.
AR neVR inobvumira maSME kumira kunze nenzira ine simba kusvika pakuita mutsauko unoshamisa mumusika.
Kuita augmented echokwadi mafirita pasocial media mapuratifomu zvakare inopa maSME nzira inodyidzana yekubatana nevateereri vavo . Pavanobvumira vatengi “kuedza” zvigadzirwa nguva isati yatenga, ivo vanowedzera kuvimba uye kuderedza kusava nechokwadi, kuwedzera shanduko.
10. Webhu analytics: Kuita sarudzo dzakangwara
Webhu analytics ndiyo kambasi inotungamira nzira dzedhijitari dzeSMEs. Zvishandiso zvakaita seGoogle Analytics zvinopa data rakakosha pamabatiro evashandisi, kuita kwesaiti, uye kushanda kwemushandirapamwe.
Kuongorora mametrics akadai seye bounce rate, nguva yekugara, uye shanduko inobvumira maSMB kuti anzwisise maitiro chaiwo ekuedza kwavo kushambadzira. Hungwaru kuita sarudzo kunobva pane chaiyo data uye inoshanda kugadzirisa kana kukwenenzvera mazano.
Kuona kuti ndeapi chiteshi anogadzira traffic yakawanda , kunzwisisa maitiro ekutenga kwevatengi, uye kuongorora kudzoka kwekudyara kwemushandirapamwe wega wega zvinhu zvakakosha pakubudirira kwenguva refu.
Webhu analytics inopa ruzivo mune yakapfuura iyo inoshanda segwara kune ramangwana. Nenzira iyi, makambani anoshanduka uye