Zviri Mukati[Viga][Ratidza]
Mabasa ekugadzirisa zvigadzirwa anowanzo kuve akasiyana. Vanofanira kuchinjika uye vachikwanisa kufamba zvakafara. Iwe unofanirwa kukurumidza uye kugadzirisa dambudziko nguva dzose paunenge uchishanda nechikwata chako kana iwe uchida kuona kuti vane chiono chakagovaniswa chechigadzirwa chako.
Mamaneja echigadzirwa anoita mabasa akafanana kune maconductor eorchestra nenzira dzakasiyana. Kuve mutariri wechikwata chine hunyanzvi hwakasiyana-siyana hunoda kuti uve nechokwadi chekuti vanoshanda pamwe chete zvakabatana kugadzira chigadzirwa chinoshanda pamatanho ese.
Zvinodikanwa zvemazuva ese zveutungamiri hunoshanda zvinogona kumbokanganisa kuronga kwechiono chakajeka chechigadzirwa. Iwe uri panjodzi yekurasikirwa nekutarisa kune yekupedzisira mutengi uye mabatiro avanoita uye nekushandisa chigadzirwa chako kugadzirisa nyaya kana kupindirana kwemukati kukanyanya kubatikana.
Mamaneja mazhinji echigadzirwa anonetsekana neichi chikonzero nekuti vanotanga kunzwa vagurwa kubva pane zvinodiwa uye zvinodiwa nemusika wechigadzirwa chavo. Mamaneja echigadzirwa anogona kubatikana zvakanyanya kubata timu yavo zuva nezuva kuti varambe vachifunga chiono chikuru chechigadzirwa.
Ndeipi nzira yakanakisa yekuti mamaneja echigadzirwa apatsanure nguva yavo pakati pekutaura nevanhu vari kunze kwekambani nekuteerera kune vari mukati?
kushandisa chishandiso che data analytics
Zvikwata zvechigadzirwa zvinogona kuongorora nekutarisa kubatanidzwa kwevashandisi uye kudyidzana pane zvigadzirwa nekushandiswa kwezvigadzirwa zvekuongorora maturusi, izvo zvinopa ruzivo rwekuziva nezve maitiro emushandisi azvino, kuita kwechigadzirwa, uye kukanganisa.
Maonero aya anobva abatsira timu yechigadzirwa kunzwisisa kuti ndedzipi gadziriso dzekuita kuchigadzirwa uye kuti vatengi vanozozvitambira sei.
Dashboards nemishumo inoona uye inoongorora huwandu hwe data yemushandisi inoratidza uko vashandisi vanopedza yakawanda yenguva yavo pakushandisa zvigadzirwa zvakasiyana.
Aya madhibhodhi uye mishumo anosimbisawo nzvimbo dzekudonhedza apo vatengi vanodhudhudzira kana kuita kushoma kufambira mberi kwekufamba. Zvikwata zvezvigadzirwa, izvo zvinoumbwa nemamaneja ezvigadzirwa, vanogadzira, vagadziri, uye vanoongorora data, vanowanzo dudzira iyi data.
Saka, mune ino positi, isu tichaongorora epamusoro maturusi echigadzirwa analytics aunogona kushandisa kuongorora manzwisisiro mune zvese mutengi uye maitiro echigadzirwa.
1. Amplitude
Amplitude ndeye yakazara analytics mhinduro yakagadzirwa kubatsira mabhizinesi kunzwisisa maitiro evatengi uye kubudirira kwechigadzirwa zviri nani. Makambani anogona kuongorora maitiro emushandisi achishandisa Amplitude kuti azvitarise pane dzakasiyana siyana, kusanganisira desktop, nhare, uye webhu.
Nekushandisa zvakasiyana-siyana zvepuratifomu, mabhizinesi anogona kuongorora kubatanidzwa kwevashandisi, kuchengetedza, uye mari pamwe nekugadzira mishumo yetsika uye dashboard.
Amplitude inosiyana kubva kune mamwe zvigadzirwa analytics mapuratifomu mukuti inogona kuteedzera maitiro emushandisi munguva chaiyo, inova imwe yeayo akakosha maficha. Iye zvino, makambani anogona kutarisa maitiro evatengi uye kutora nekukurumidza, danho rine ruzivo.
Amplitude kugona kwecohort kuongororwa kunoita kuti makambani atarise maitiro emamwe mapoka evashandisi nekufamba kwenguva. Mabhizinesi ane chinangwa chekusimudzira hurongwa hwavo hwekushambadzira uye kuwedzera kuchengetwa kwevatengi vanogona kuwana chimiro ichi chichibatsira zvakanyanya.
Mushandisi segmentation, ongororo yefunnel, uye kugona kumhanyisa A/B bvunzo zvinongori zvishoma zvezvimwe zvinopihwa neAmplitude zvinozvisiyanisa seyepamusoro chigadzirwa analytics mhinduro.
In kusiyana nekuongorora kwefunnel, iyo inobvumira masangano kuti atarise maitiro evashandisi mukati merwendo rwakazara rwevashandisi, kupatsanurwa kwevashandisi kunogonesa mabhizinesi kuongorora maitiro emushandisi zvichienderana neimwe nzira, senge nzvimbo kana rudzi rwechishandiso.
Mabhizinesi anogona kuyedza uye kukwenenzvera zvavanopihwa munguva chaiyo vachishandisa A/B kuyedza kugona, izvo zvinosimudzira ruzivo rwemushandisi zvachose.
Pricing
Unogona kutanga kuishandisa mahara uye wokumbira iyo yeprimiyamu mitengo.
2. Hotjar
Hotjar ndeye yakazara analytics uye mhinduro mhinduro inobatsira mabhizinesi kunzwisisa zviri nani mabatiro anoita vatengi nemawebhusaiti avo.
Iyi puratifomu inopa akasiyana maturusi anoita kuti mabhizinesi aongorore maitiro evashandisi munguva chaiyo, kusanganisira heatmaps, sesheni matanda, uye mhinduro ongororo.
Mabhizinesi anogona kuziva zvakawanda nezve mabatiro anoita vatengi nemawebhusaiti avo, tsvaga nzvimbo dzekusimudzira, uye nekuvandudza ruzivo rwemushandisi nekushandisa tekinoroji. Mabhizinesi anogona kushandisa heatmaps kuona kuti ndeapi matunhu emawebhusaiti avo ari kushanyirwa zvakanyanya uye ndeapi ari kugamuchira kushomeka kubva kune vatengi.
Kurongeka uye chimiro chewebhusaiti chinogona kuvandudzwa uchishandisa iyi data kuwedzera kupindirana kwevashandisi uye mitengo yekutendeuka.
Rekodha dzeSession dzinopa masangano kugona kuongorora mabhaisikopo emamwe masesheni evashandisi, zvichivapa kunzwisisa kwakakwana kwemabatiro ari kuita vashandisi newebhusaiti.
Nekushandiswa kweiyi data, nzvimbo dzinorwadza dzemushandisi dzinogona kuzivikanwa, uye ruzivo rwemushandisi runogona kuvandudzwa kuti uwedzere kubatanidzwa kwevashandisi nekuchengetedza. Pamusoro pezvo, inopa sarudzo yezvishandiso zvekuisa mushandisi, senge sarudzo uye ongororo, zvichiita kuti mabhizinesi awane mhinduro dzevatengi zvakananga.
Pricing
Unogona kutanga kuishandisa mahara uye mitengo yeprimiyamu inotanga kubva pamadhora makumi matatu nemaviri pamwedzi (inobhadharwa pagore).
3. Murwi
Murwi chishandiso che analytics chakavakwa chine timu agility mupfungwa. Mamaneja echigadzirwa anoshanda anogona kuita nekukasira paanenge achiita sarudzo dzinokurumidza uye nemaune.
Innovation haifanire kuderedzwa nedata. Unogona kuongorora zviri nyore zvakaunganidzwa pamhepo uye mobile app data neHeap kuti ikubatsire pakuita sarudzo.
Neraki, izvi kwete-code platform inogona kumhanya yega paunenge uchiunganidza data pane-mu-app mushandisi maitiro nekuda kwechimiro chayo otomatiki.
Chaizvoizvo, zvikwata zvezvigadzirwa zvaive mupfungwa pakagadzirwa Heap. Vanokuda semutengi. Iwe unozogona kushandisa chikuva chakagadzirwa kunyanya kuita kuti zvinhu zvive nyore, nekukurumidza, uye zvakanyanya kukosha kuchikwata chako.
Murwi unogona kutarisa zvakasiyana-siyana zvinofadza zviratidzo, zvichibatsira kuzivisa basa rekutanga rechikwata chako chechigadzirwa.
Aya ma metrics anotangira kubva kushandurudzo mwero optimization uye activation kusvika pakubatanidzwa mwero nekuchengetedza. Kana zvinhu zvitsva zvichishandiswa kana kuderedzwa kunoitwa, hapana chikonzero chekuchinja kodhi nekuti inongo unganidza zvese zvevashandisi.
Iyo data modhi yakakura, ichipa mushandisi segmentation, maitiro emapoka, ongororo yefunnel, ongororo yekuchengeta, uye nezvimwe kubatsira kuvaka zvigadzirwa zvinobatsira uye kuzadzisa zvinangwa zvekambani.
Pricing
Unogona kutanga kuishandisa mahara uye wokumbira iyo yeprimiyamu mitengo.
4. Mixpanel
Iwe unogona kusimudzira kutonga kwako maererano neSaaS masevhisi ako nekushandisa Mixpanel kuti unzwisise zviri nani maitiro emushandisi.
Kuti unyatsoona mapatani uye unzwisise maitiro evatengi, inopa chiitiko-chakavakirwa chigadzirwa kuongororwa kunotevera kumwe kusangana kwevashandisi munguva chaiyo.
Interactive mishumo inopa yakakwana kuratidzwa kwe data yakadzama-yakanangana nemushandisi, kusanganisira ruzivo rwekuti kupi uye nei vatengi vanosiya, vashandisi vanosara kwenguva yakareba sei, vashandisi vanoiswa mumapoka zvichienderana nemaitiro avo, nezvimwe.
Kuti upe ongororo yakakwana uye inobatsira yezviitwa-zvakanangana nemushandisi, iyo yakadzama nhanho yekuongorora inosanganisira pfungwa dzevashandisi, zviitiko, uye maitiro.
Nekutora ruzivo rwakakura rwekubatanidzwa kwevashandisi, nzira yaro-yakavakirwa pachiitiko inogonesa kuongorora kwakadzama uye kutarisisa kwakaringana kwemeseji uye kuedza.
Chikwata chesoftware chinoshandisa chinzvimbo chekutonga, chakavakirwa-mukati SOC 2 Type II chitupa, uye yakasimbiswa encryption senzira dzekusimudzira kuchengetedza kuvanzika kwevatengi.
Pricing
Unogona kutanga kuishandisa mahara uye mitengo yeprimiyamu inotanga kubva pamadhora makumi maviri+ pamwedzi.
5. UXCam
Inotungamira mobile app chigadzirwa analytics mhinduro UXCam yakagadzirwa kunyanya kushandiswa nenharembozha.
Imwe yeakasarudzika maficha eUXCam ndeye otomatiki-capture tekinoroji, iyo inongochengeta zvese mushandisi mafambiro mukati meapp semapoinzi edata anogona kuongororwa mushure.
Retroactive data kuongororwa ikozvino kwave kugoneka pasina chinodiwa chekugadzira chiitiko.
UXCam inogona kunge yakakunakira iwe kana uine nharembozha uye uchida kuwedzera shanduko uye kugutsikana kwemushandisi. Iine mitsetse miviri chete yekodhi uye isingasviki maminetsi mashanu ebasa, inopa zvese huwandu uye hwemhando yekunzwisisa uye iri nyore kubatanidza.
Kana iwe uchitsvaga webhu app chigadzirwa chekuongorora chishandiso, chishandiso cheA/B chekuyedza, kana chishandiso chekuongorora kuedza kwekushambadzira, UXCam inogona kunge isiri iyo yakanakisa sarudzo.
Iyi puratifomu inotsigira ese nharembozha masisitimu, anosanganisira iOS, Android, React Native, Flutter, Xamarin, Unity, NativeScript, uye Cordova.
Pricing
Unogona kutanga kuishandisa mahara uye wokumbira iyo yeprimiyamu mitengo.
6. Rudo
Pendo ipuratifomu yeanalytics yechigadzirwa yakagadzirwa kubatsira mabhizinesi kunzwisisa zviri nani mashandisiro anoita vatengi zvigadzirwa zvavo.
Mabhizinesi anogona kutarisa maitiro evashandisi, kuyera kugamuchirwa kwechigadzirwa, uye kuwana mhinduro yevatengi vachishandisa hunyanzvi hwepuratifomu.
Iko kugona kuendesa nzwisiso mumaitiro evashandisi pamapuratifomu mazhinji nemidziyo inoiisa parutivi kubva kune mamwe ma analytics echigadzirwa mhinduro. Izvi zvinovhara magajeti akabatana uye Internet yezvinhu (IoT) zvinhu mukuwedzera kune online, nhare, uye desktop desktop.
Kugona kwaPendo kupa vatengi mu-app zano ndiro simba rayo. Izvi zvinowedzera ruzivo rwevashandisi uye zvinodzikisa mari yekutsigira masangano nekuvagonesa kupa vashandisi rubatsiro negwara.
Pamusoro pezvo, Pendo inopa epamberi analytics maficha senge cohort ongororo, ongororo yefunnel, uye A/B kuyedza iyo inoita kuti makambani atarise maitiro evashandisi uye kuramba achivandudza zvigadzirwa zvavo.
Salesforce, Marketo, uye Slack angori mashoma emapuratifomu uye matekinoroji ayo anogona kubatanidzwa nawo. Mabhizinesi zvino anoona zviri nyore kutaurirana ruzivo uye ruzivo pakati pezvikwata pamwe nekubatanidza data ravo rekuongorora chigadzirwa nemamwe mapuratifomu.
Pricing
Chikumbiro chemitengo yayo.
7. PotHog
PostHog ipuratifomu inoshanduka iyo mabhizinesi eese saizi anoshandisa kuteedzera, kutarisa, uye kuongorora maitiro evashandisi pamawebhusaiti nemashandisirwo.
Anoverengeka emabhizinesi akabudirira kwazvo munyika, anosanganisira Combinator, Staples, Airbus, Outbrain, Phantom, QuestDB, nezvimwewo, shandisa PostHog.
Iyi puratifomu inobatsira mukuunganidza data rewebhusaiti kana app pamwe nekuita sarudzo inotungamirwa nedata kusimudzira kukura kwese.
PostHog inopa maficha anosanganisira kuteedzera mushandisi, kuteedzera chiitiko, kuongorora kwefunnel, cohort kuongororwa, ongororo yekuchengeta, kuongororwa kweA / B, nezvimwe.
Nekugadzira maapplication anobatanidza kune yako data sosi kuburikidza nemazana echitatu-bato maapplication, unogona kuwedzera mashandiro epuratifomu kuti usangane nezvako zvebhizinesi zvaunoda.
PostHog inowanikwa mune ese emahara uye akabhadharwa editions.
Kuti uwane mamwe maficha akadai seCorrelation analysis, Group analytics, Lifecycle cohorts, Network performance pane zvakarekodhwa, A/B kuyedza, Slack rutsigiro, uye zvimwe zvakawanda, mabhizinesi makuru anogona kusarudza kunyorera edition. Iyo webhusaiti ine yakasimba yakavhurika-sosi nharaunda ine anopfuura zviuru gumi nerimwe GitHub nyeredzi.
Pricing
Unogona kutanga kuishandisa mahara uye mitengo yeprimiyamu inotanga kubva kumadhora 0.00045/chiitiko pamwedzi.
8. Snowplow
Snowplough Analytics ndeye yakavhurika-sosi chiitiko data pombi inogonesa makambani kuunganidza uye kuongorora maitiro evashandisi data kubva kwakawanda masosi.
Mabhizinesi anogona kuteedzera maitiro evashandisi pamapuratifomu mazhinji, anosanganisira online, nharembozha, uye desktop desktop, nekuda kweakasiyana masevhisi anopihwa nepuratifomu.
Snowplough Analytics 'kukwanisa kuunganidza uye kubata isina kusefa, mbishi data inoiisa parutivi kubva kune imwe data analytics software.
Nekuda kwehutongi hwakazara, izvi zvinopa mabhizinesi pamusoro pe data ravo, vanogona kugadzirisa iyo data-kuunganidza maitiro uye kuwana kunzwisisa kwakadzama kwemaitiro emushandisi.
Uyezve, Snowplough Analytics inopa maturusi epamusoro ekuongorora senge cohort ongororo, ongororo yefunnel, uye segmentation inoita kuti makambani atarise maitiro evashandisi munguva chaiyo.
Elasticsearch, Amazon Redshift, Google BigQuery, uye mamwe mapuratifomu uye matekinoroji anogona kubatanidzwa neSnowplough Analytics. Nekuda kweizvi, zviri nyore kuti masangano abatanidze data ravo kune mamwe masisitimu uye kupanana ruzivo pakati pezvikwata.
Pricing
Unogona kutanga kuishandisa mahara uye mitengo yeprimiyamu inotanga kubva pamadhora zana nemakumi matatu neshanu pamwedzi.
9. LogRocket
Mabhizinesi anogona kutarisa uye kuongorora maitiro evashandisi pamaapplication avo epamhepo vachishandisa LogRocket, chigadzirwa chekuongorora chishandiso.
Iyi puratifomu inopa akati wandei maturusi anobatsira makambani mukudzidza zvakawanda nezvemaitiro evashandisi, sesesheni replay, izvo zvinoita kuti makambani aone kuti vashandisi vanodyidzana sei nemashandisirwo avo, uye yekutevera kukanganisa, izvo zvinoita kuti makambani awane nekugadzirisa zvikanganiso zvekushandisa.
Chikuva chinorekodha maitiro emushandisi sekudzvanya uye kupuruzira pamwe neruzivo rwemushandisi senge nzvimbo uye ruzivo rwemudziyo uyezve inounganidza ruzivo urwu kuita mishumo yakajeka.
Izvi zvinogona kubatsira makambani kuwana zvikamu zvechirongwa chavo zviri kushungurudza vatengi uye vobva vafunga maitiro ekuvandudza ruzivo rwemushandisi zvichienderana nehuwandu.
Pamusoro pezvo, LogRocket ine akati wandei mamwe maapplication uye mapuratifomu, seGoogle Analytics neIntercom, zvichiita kuti zvive nyore kumabhizinesi kubatanidza data ravo pamapuratifomu akawanda.
Kuti ive nechokwadi chekuchengetedzwa kwe data remushandisi ane hanya uye kuve nechokwadi chekuteedzera mutemo wekuvanzika kwedata seGDPR neCCPA, chikuva chinopa zvinhu zvakaita se masking uye kudzokorora.
Pricing
Unogona kutanga kuishandisa mahara uye mitengo yeprimiyamu inotanga kubva pamadhora zana nemakumi matatu neshanu pamwedzi.
10. Zvinoratidza
Iyo chigadzirwa analytics chikuva Chiratidzo, chinova gore-chakavakirwa, chiyamuro makambani mukunzwisisa uye nekuvandudza maitiro evashandisi pane avo epamhepo uye nharembozha.
Iyi puratifomu inopa akati wandei maturusi anoita kuti makambani adzidze zvakawanda nezve mabatiro ari kuita vatengi nezvinhu zvavo, senge mushandisi segmentation, ongororo yefunnel, uye chaiyo-nguva analytics.
Pasina chinodiwa chekodhi kana SQL ruzivo, Chiratidzo chine hunyanzvi hwekuita ongororo dzakaoma.
Vashandisi vasiri tekinoroji vanogona kugadzira mishumo yebespoke uye dashboard vachishandisa chikuva chekukweva-uye-kudonha interface, izvo zvinoita kuti ishandise mushandisi.
Yayo yakasiyana-siyana-yakasarudzika tekinoroji tekinoroji inobatsira mukuona kupokana nzvimbo munzvimbo dzakasiyana dzevatengi kuchengetedza pamwe nekuona uye kufanotaura kuti ndedzipi vatengi vakakosha kuwana.
Iyo software inocherekedza rwendo rwese rwevatengi, kusanganisira nzira dzakajairwa, mepu kuti unzwisise maitiro evatengi, kuvaka mafeniro ekufambisa kwevatengi mune zvigadzirwa, kunzwisisa kupokana uko vatengi vanokundikana, uye zvimwe zvakawanda zviratidzo zvinobatsira mukuvandudza zvigadzirwa uye kuwedzera kugutsikana kwevatengi.
Pricing
Unogona kutanga kuishandisa mahara uye mitengo yeprimiyamu inotanga kubva pamadhora zana nemakumi matatu neshanu pamwedzi.
mhedziso
Mukupedzisa, paunenge uchisarudza yakanakisa chigadzirwa analytics mhinduro, zvakakosha kuti titarise zvakasiyana semutengo, kugadzirisa, kuona data, uye nyore kushandisa.
Chishandiso chimwe nechimwe chakasiyana uye chine hunhu hwakasiyana.
Nekuti hapana kana chishandiso chimwe chinogona kubata mabasa ese, zvakakosha kuti uone zvinodikanwa zvebhizinesi kana chigadzirwa nezvinangwa zvaro usati wasarudza yakanakisa chigadzirwa chekuongorora software.
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