Wɔn a wɔtɔn nneɛma no remene wɔ data mu. Nanso sɛ ɛba nhumu ankasa a ntease wom so a, wɔayow. Wunim nkate no. Biribiara a wobɛyɛ wo ho sɛ ɛwɔ tumi ase bere a worekɔ dashboard ahorow a wontumi nkan ntam, bue tabs ne spreadsheet koro no ara nkyerɛase ahorow, pining hwehwɛ nɔma ahorow a ɛma validation ne akwankyerɛ. Yɛn nyinaa akɔ hɔ. Akannifoɔ nhia data anaa dashboard pii na ama wɔanya mmuaeɛ a wɔrehwehwɛ no. Wohia nyansa a ɛkyerɛ “nea enti” a ɛwɔ atiefo nneyɛe akyi sɛnea ɛbɛyɛ a wobetumi agyae kyɛwpa a wɔpae wɔ sika a wɔsɛe no ho, na wɔafi ase de ahotoso asi adwumayɛ ho gyinae ntɛmntɛm. Ɛno fi ase wɔ data fapem a ɛyɛ den na ɛho tew so. Martech stack a etu mpɔn nyɛ nnwinnade a ɛne ne ho nhyia a ɛde data mudi mu kura bɔ afɔre a wɔboaboa ano na wɔhyehyɛ. Ɛfa nea mefrɛ no “tow a ɛyɛ den” a wobeyi afi hɔ ho —gyinaesi a wɔyɛ brɛoo ne hokwan ahorow a wɔhwere a ɛhaw aguadi akuw bere a data nkɔ so yiye no mu akasakasa. Nea eye ne sɛ, yɛrefi wiase a data a ɛnyɛ adwuma, ɛka akyi na ɛnyɛ nhyehyɛe wom mu akɔ bere a asetra mu nyansa ma akannifo tumi twa tow a ɛfa nneɛma a ɛyɛ den ho no ho, di wɔn ROI ho adanse na wonya gyinaesi ahoɔhare. Dɛn ne martech stack? Aguadi mfiridwuma stack, anaa martech stack, yɛ nnwinnade ne mfiridwuma ahorow a aguadifo de di dwuma de twetwe, de wɔn ho hyɛ mu na wɔkora adetɔfo so. Efi lead generation ne email marketing so kosi social media management ne SEO so no, saa nnwinnade yi ma adwumayɛ nhyehyɛe yɛ mmerɛw, ɛma nhyehyɛe ahorow yɛ adwuma wɔ ɔkwan a ɛyɛ adwuma so na ɛma adwumayɛ ho nhumu a ɛho hia. Martech stack pa wɔ tebea a ɛyɛ iteration bere nyinaa mu. Bere a mfiridwuma tebea no rekɔ so wɔ agentic AI a ɛrekɔ soro no nkyɛn no, ɛrebɛyɛ nea wobetumi ayɛ sɛ wɔbɛdannan metrics akɛse na apaapae ayɛ no nne a emu da hɔ a ɛfa adetɔfo asɛm no ho. Martech stack a wɔaka abom a asetena mu nyansa na ɛma ahoɔden no ma ahoɔhare kɔ nhumu mu ntɛmntɛm, ɛma tumidi a wɔkyekye tumi, na ɛma aguadifo nya adwuma no ne nea ɛrekɔ so mprempren wɔ gua so no ho adwene a edi mũ. ‘Tow a ɛyɛ den’ no: Nea enti a aguadi ho mfiridwuma a ɛyɛ ntɛmntɛm di nhyehyɛe ahorow a wɔde asie dedaw so nkonim Ɛmfa ho sɛ AI-driven martech stacks betumi aba no, akuw pii nhu sikasɛm mu mfaso a na wɔhwɛ kwan no. Adɛn? Efisɛ adwumayɛfoɔ 36% ka sɛ agyapadeɛ nhyehyɛeɛ no si kwan mu, sɛdeɛ Constellation’s 2025 Assessing Agentic Enterprise Readiness Report kyerɛ no. Agyapadeɛ nhyehyɛeɛ a wɔabɔ no siw data kwan sɛ ɛbɛsen fa akwan ntam kwa, na ɛma silo ne nsaanodwuma a ɛma akuo ahodeɛ kɔ fam. Ɛka a wɔbɔ wɔ saa bloat yi ho no yɛ nwonwa. McKinsey hunuu sɛ CMOfoɔ 63% ayera hokwan ahodoɔ ɛfiri sɛ wɔantumi annsi gyinaeɛ ntɛmntɛm, na Constellation amanneɛbɔ no hunuu sɛ 42% foforɔ ntumi nnye adetɔfoɔ no nne. Adwumayɛkuo dodoɔ no ara da so ara tua boɔ a ɛkorɔn ma atetesɛm adwumayɛ ho nyansa ne CRM nhyehyɛeɛ a ɛdi tete kyerɛwtohɔ a wɔahyehyɛ no nko ara akyi (i.e., deɛ asi dedaw wɔ adwuma no mu).
Sɛnea ɛbɛyɛ a ɛbɛma nkɔso aba no, nea akuw hia ne asetra mu nyansa: bere ankasa mu, a wɔanhyehyɛ no yiye wɔ gua no mu (i.e., nea ɛrekɔ so mprempren). Sɛnea Sprout Social’s 2025 Impact of Social Media Report kyerɛ no, akannifoɔ fã pɛ sɛ akuo a ɛwɔ adwuma no nyinaa mu te sɛ adetɔfoɔ suahunu ne nkonimdie, adetɔfoɔ hwɛ ne mmoa, ne adwumayɛ nkɔsoɔ de asetena mu nhumu di dwuma de kyerɛ wɔn gyinaesie. Asetra mu nyansa bɛboa saa akuw yi ma wɔafi nea atwam no mu nhwehwɛmu mu akɔ daakye a wɔde anisoadehu a ɛfa ɔkwan a wɔbɛfa so ayɛ ho. Nneɛma atitiriw a ɛwɔ martech stacks a ɛma data firehose no yɛ mmerɛw Nnwinnade pii wɔ hɔ a brands (titiriw enterprise brands) de boaboa data ano na wɔkora so. Asɛmpa no ne sɛ nnwumakuw a wɔyɛ nneɛma wɔ data pii—bɛyɛ petabytes 10, sɛnea Assessing Agentic Enterprise Report kyerɛ no. Asɛmmɔne no ne sɛ wɔde data firehose no asi soro, na wɔankyekyere nhyehyɛe ahorow a wɔde asie sɛ wɔmfa nsɛe data a wɔanhyehyɛ no foforo fibea ahorow. Amanneɛbɔ koro no ara hui sɛ aguadi ho nsɛm 70% nyɛ nea wɔahyehyɛ, a asetra mu nkɔmmɔbɔ, video ne mfonini ahorow ka ho. Wɔasi atetesɛm martech nnwinnade ma data a wɔahyehyɛ nkutoo (te sɛ krataa a wɔhyɛ ne kliki) na entumi nnye atiefo nsɛm a ɛho tew, a wɔanhwie a wohu wɔ akwan te sɛ sohyial a hokwan ankasa ahintaw so no. Wo martech stack a ɛma data a wɔahyehyɛ ne nea wɔanhyehyɛ no hyia no gyina w’ahyehyɛde no ahiade soronko ne nneɛma a ɛho hia so, nanso nnwinnade bi yɛ fapem wɔ nnwuma ahorow nyinaa mu. Nneɛma atitiriw bi a ɛsɛ sɛ wɔde ka martech stack a etu mpɔn ho ni:
Social media intelligence nnwinnade: Ɛma Democratizes kwan a wɔfa so nya social nhumu, nade martech abɔdeɛ a nkwa wom nhyehyɛeɛ no nya nsɛm a ɛfa adwumayɛ ho nsɛm ne adetɔfoɔ nhumu ankasa a ɛdane dede kɔ adwumayɛ nsɛnkyerɛnneɛ a wɔtumi yɛ ho adwuma, na ɛma saa berɛ ankasa mu nsɛm a ɛfa ho no san kɔ CRM no mu. Ɛma wɔn a wɔde di dwuma no tumi yɛ ade wɔ asɛnka agua biako a ɛwɔ mfinimfini, a ɛyɛ mmerɛw so. Marketing automation software: Ɛma nnwuma a wɔyɛ no mpɛn pii ne ɔsatu a wɔde di dwuma no yɛ mmerɛw, na ɛma akuw ahorow nya ahofadi ma wɔde wɔn adwene si nhyehyɛe ahorow a wɔde yɛ adwuma so. Adetɔfoɔ abusuabɔ ho dwumadie (CRM) nnwinnadeɛ: Ɛma adetɔfoɔ ho nsɛm si baabiara na ɛma nhumu wɔ sɛdeɛ aguadiɛ mmɔdenbɔ nya adetɔn mu nsunsuansoɔ so nkɛntɛnsoɔ. Content management systems (CMS): Ɛma wɛbsaet ne blog ahorow tumi, na ɛyɛ dijitaal anim pon ma adetɔfo a wɔde wɔn ho hyɛ mu. Email marketing platforms: Ɛma email adebɔ, automation ne analytics tumi hwɛ akannifoɔ na wɔne atiefoɔ kɔ so nya abusuabɔ. Generative engine optimization (GEO) nnwinnade: Ɛboa ma AI-powered search tumidi yɛ kɛse. Search engine optimization (SEO) nnwinnade: Ɛboa wɔ keyword nhwehwɛmu, rank tracking ne backlink analysis mu ma organic visibility yɛ yie. Dawurubɔ mfiridwuma: Ɛka nnwinnade a wɔde yɛ search engine marketing (SEM), dawurubɔ a wɔde kyerɛ ne akwan afoforo a wotua ho ka de ma kar kɔ so. Analytics platforms: Ɛde nhumu a ɛho hia ma wɔ wɛbsaet adwumayɛ ne aguadi ROI ho de kyerɛ gyinaesi ahorow a egyina data so kwan. Digitals asset management (DAM) nhyehyɛe: Ɛhyehyɛ na ɛkora dijitaal agyapade so, na ɛma ɛyɛ mmerɛw sɛ wobɛhwehwɛ na woasan de nneɛma a ɛwɔ mu adi dwuma wɔ ɔsatu ahorow nyinaa mu.
Sɛnea wɔkyekye martech stack a ɛde gyinaesi ahoɔhare ma Ansa na mɛkyɛ nhyehyɛe a mfaso wɔ so a wɔde bɛyɛ akontaabu na wɔasan akyekye wo martech stack no, ɛsɛ sɛ mema nsonsonoe titiriw a ɛda ahoɔhare ne ahoɔhare ntam no mu da hɔ. Speed kyerɛ sɛ m’aforo kar no na merebɔ gas no. M’akɔ ntɛmntɛm sɛnea metumi bere tenten biara a metumi. Nanso ɛno ne ade a ɛfa ahoɔhare ho. Ɛnhwehwɛ sɛ wonya akwankyerɛ anaa nkɛntɛnso. Ahoɔhare yɛ saa. Ahoɔhare = ahoɔhare + akwankyerɛ. Ɛkyerɛ sɛ wunim baabi pɔtee a worekɔ, na wubetumi ayɛ pivot ntɛm ara a egyina gua so nsɛnkyerɛnne so. Sɛ wode ahoɔhare kɔ a, wode adwempa kɔ w’anim, na wode nsi hwehwɛ nkɛntɛnso na wodan nhumu ma ɛyɛ adeyɛ. Wowɔ nnwinnade a wuhia na wode ahwehwɛ mu na woasan ayɛ bere a worekɔ no. Wɔ nnwuma mu no, ɛno te sɛ martech stack a wɔasi sɛ wɔde bedi abakɔsɛm ne bere ankasa mu nhumu nyinaa ho dwuma sɛnea ɛbɛyɛ a akannifo betumi asi gyinae ntɛmntɛm, a eye. Nneɛma a wubetumi ayɛ na wode ahotoso akɔ ntɛmntɛm ni. Kyerɛkyerɛ ɔhaw anaa ahiade a worebɔ mmɔden sɛ wubedi ho dwuma no mu Nkurɔfo n’asan boaboa wɔn tech stacks no ano esiane sɛ wɔpɛ nti. Wɔyɛ saa efisɛ ɔhaw bi a ɛda adi wɔ hɔ a ɛsɛ sɛ wodi ho dwuma. Ma pefee sɛnea wo kuw no betumi anya mfaso afi sohyial media nyansa ano aduru a wɔaka abom mu pefee, sɛ́ ɛyɛ wo adetɔn funnel, nne kyɛfa anaa adetɔfo abusuabɔ ho adwene a ɛyɛ nokware kɛse. Eyi bɛboa wo IT kuw no ma wɔate nneɛma a ɛho hia wo ne w’ahwehwɛde ahorow ase yiye. Audit wo nnwinnade ne data tumi ahorow Hwɛ wo mprempren martech stack no denam adwinnade biara a wobɛhwɛ yiye so, ahwɛ sɛnea ɛgye na ɛhwehwɛ data a wɔanhyehyɛ no yiye no mu. Sɛ woantumi ankɔ “dɛn ntia” a ɛwɔ data nsɛntitiriw akyi no so a, wo data fapem no yɛ mmerɛw te sɛ kaad fie na ɛnyɛ den sɛ wobɛkyekyere ɔkwan a wobɛfa so atwa ho ahyia. Integrations ne data integrity ne petrol a ɛma gyinaesi ahoɔhare tumi yɛ yiye. Sɛ wo suite no di social insights sɛ siled add-on anaasɛ detached dashboard a, woreyera 70% of your customer’s voice. Ɛsɛ sɛ social data yɛ te sɛ connective tissue a ɛsen kɔ wo CRM ne adwumayɛ ho nyansa nnwinnade mu de yɛ intelligence ecosystem a edi mũ. Kyerɛkyerɛ nea efi adwumayɛ mu ba a wɔde wɔn adwene asi nkɛntɛnso so Bere tenten ni no, aguadifo nim wɔ wɔn adwene mu sɛ data nni hɔ a ɛbɛda nkɛntɛnso a wɔn adwuma no anya adi koraa. Ná yenni mfonini no nyinaa, na yɛantumi anhu sɛnea yɛn ɔsatu ahorow no nyaa nne ne nkate mu kyɛfa so nkɛntɛnso ankasa. Asetra mu nyansa a AI na ɛma ɛyɛ yiye sɛ wɔbɛka data fibea ahorow abom na wɔabisa nsɛm foforo. Te sɛ, henanom na miduu wɔn nkyɛn na wɔyɛɛ wɔn ade dɛn? Ɛhe na yedii nkonim? Ɛhe na yɛtɔɔ sin? Ɛsɛ sɛ nnɛyi martech stack ma nhumu a wuhia na ama bere no akɔ ntɛmntɛm fi nea wɔyɛ so akɔ sikasɛm mu nkɛntɛnso so, na ɛdan gyinaesi ahorow kɔ adeyɛ mu a nea ebefi mu aba a wɔde laser-focused no wɔ w’adwenem. Fa ahiade ne nneɛma a ɛho hia a ɛfa nnwuma ahorow ho no hyia Fa stack a asetra mu nsɛnkyerɛnne kanyan nneyɛe wɔ dwumadibea afoforo mu di kan. Sɛ wɔkyɛ yiye a, ɛsɛ sɛ social data siw nsonsonoe a ɛda aguadi, adetɔn, ɔsom ne aguadi ntam no ano. Sɛ nhwɛso no, susuw e.l.f. Cosmetics’ nnansa yi nneɛma foforo a adetɔfo bɔɔ amanneɛsuban a ɛwɔ TikTok so. Ahyɛnsode no huu adetɔfo sɛ wɔrekyekyɛ hacks de yi lipgloss nkotoku mu sɛnea ɛbɛyɛ a wobetumi ayɛ wɔn ankasa de. Sɛ́ anka asetra mu kuw no bɛka sɛ “dɔ eyi” kɛkɛ no, wɔmaa nhumu no kɔɔ soro koduu nneɛma a wɔyɛ ne aguadi akuw ahorow so, na ahyɛnsode no fii ase hyɛɛ da foforo. Wɔ $15 biara a wɔsɛe no wɔ e.l.f. nneɛma a wɔyɛ no, na adetɔfo nsa ka ade a wɔde anofafa yɛ a hwee nni mu, a wɔfrɛ no (S)e.l.f. Wɔayɛ Halo Gloss Toa. Ade no tɔn wiei ntɛm ara. Ɛno ne gyinaesi ahoɔhare wɔ adeyɛ mu.
Si ma daakye Ɛmfa ho baabi a wowɔ wɔ wo AI dwumadie akwantuo no mu no, ɛsɛ sɛ wohwɛ sɛ wo stack no yɛ agentic AI-ready. AI yɛ aboa a onni memere a ɛhwehwɛ sɛ wodi nnipa data bere nyinaa na ama wɔakɔ so ayɛ nea mfaso wɔ so, na asetra mu nyansa ma wonya aduan ho nhyehyɛe a edi mũ. Ɛho hia nso sɛ wode asetena mu nyansa bedi dwuma sɛnea ɛbɛyɛ a wobɛtena baabi a w’atɔfoɔ rekasa na wɔrebisa nsɛm afa wo brand, industry ne nea ɛkeka ho ho, sɛdeɛ ɛbɛyɛ a wo brand no bɛtumi abɛyɛ mmuaeɛ a ɛwɔ tumi ama LLMs. Bere a yɛrefi SEO so akɔ bere a GEO di so no, tumidi bɛyɛ nnwuma akɛse a wotumi hu sika. Fa ahoɔhare tu, na ɛnyɛ nea ɛyɛ den “Ɛho nhia sɛ gyata bobom de kyerɛ sɛ ɔyɛ gyata.” Ɛno yɛ asɛm a mepɛ sɛ aguadifo biara gye di, wɔde wɔn ti kura soro a wonim sɛ wɔwɔ nyansa nhyehyɛe a wɔde bɛbɔ nkɔso a wotumi hyɛ ho nkɔm, a ɛkɔ soro. No more kyɛwpa sɛ yɛsɛee sika, ɛwom mpo sɛ yenim yɛn adwuma, nnwuma ne adetɔfo yiye sɛnea obiara. Ɛyɛ bere a ɛsɛ sɛ yɛdannan yɛn data ne dashboards fi reactive scorecard so kɔ sikasɛm mu mfaso a wɔahyɛ ho nkɔm so. Hwɛ Sprout’s Social Media Buyer’s Guide na hwɛ sɛ wowɔ infrastructure a wode bɛnya adetɔfoɔ no nne ankasa. The post Martech stack a wɔbɛkyekye: Tow a ɛyɛ den a wobeyi afi hɔ ama gyinaesi ahoɔhare appeared first on Sprout Social.
