{"id":1449,"date":"2026-02-23T09:13:04","date_gmt":"2026-02-23T09:13:04","guid":{"rendered":"https:\/\/www.theadx.com\/blog\/?p=1449"},"modified":"2026-02-23T09:15:08","modified_gmt":"2026-02-23T09:15:08","slug":"programatik-satin-alma-modelleri-nelerdir","status":"publish","type":"post","link":"https:\/\/www.theadx.com\/blog\/programatik-satin-alma-modelleri-nelerdir\/","title":{"rendered":"Programatik Sat\u0131n Alma Modelleri Nelerdir?"},"content":{"rendered":"

Dijital reklamc\u0131l\u0131k d\u00fcnyas\u0131nda h\u0131z, veri ve otomasyon her ge\u00e7en g\u00fcn daha kritik hale geliyor. Bu d\u00f6n\u00fc\u015f\u00fcm\u00fcn merkezinde ise <\/span>programatik sat\u0131n alma<\/b> yer al\u0131yor. Programatik reklamc\u0131l\u0131k, reklam alanlar\u0131n\u0131n insan m\u00fcdahalesi olmadan, yaz\u0131l\u0131mlar ve algoritmalar arac\u0131l\u0131\u011f\u0131yla sat\u0131n al\u0131nmas\u0131n\u0131 sa\u011flar. Ancak programatik denildi\u011finde tek bir sat\u0131n alma y\u00f6ntemi yoktur. Farkl\u0131 hedeflere, b\u00fct\u00e7elere ve kontrol seviyelerine g\u00f6re \u015fekillenen \u00e7e\u015fitli <\/span>programatik sat\u0131n alma modelleri<\/b> bulunur.<\/span><\/p>\n

Bu yaz\u0131da, programatik sat\u0131n alma modellerini detayl\u0131 \u015fekilde ele al\u0131yor ve hangi modelin hangi senaryoda tercih edilmesi gerekti\u011fini a\u00e7\u0131kl\u0131yoruz.<\/span><\/p>\n

Programatik Sat\u0131n Alma Nedir?<\/b><\/h2>\n

Programatik sat\u0131n alma, reklamverenlerin hedef kitlelerine en uygun envanteri, do\u011fru zamanda ve do\u011fru fiyatla sat\u0131n almas\u0131n\u0131 sa\u011flayan otomatik bir reklam sat\u0131n alma y\u00f6ntemidir. Bu s\u00fcre\u00e7te kararlar; kullan\u0131c\u0131 verileri, davran\u0131\u015f sinyalleri ve algoritmalar \u00fczerinden verilir.<\/span><\/p>\n

Programatik sat\u0131n alma; h\u0131z, \u00f6l\u00e7eklenebilirlik ve hedefleme hassasiyeti sayesinde geleneksel medya sat\u0131n almaya k\u0131yasla \u00e7ok daha verimli bir yap\u0131 sunar.<\/span><\/p>\n

Programatik Sat\u0131n Alma Modelleri<\/b><\/h2>\n

Programatik d\u00fcnyada en yayg\u0131n kullan\u0131lan sat\u0131n alma modelleri; <\/span>garantili<\/b> ve <\/span>garantisiz<\/b> yap\u0131lar etraf\u0131nda \u015fekillenir. Bu modeller, reklamverenin kontrol ihtiyac\u0131na ve kampanya hedeflerine g\u00f6re farkl\u0131 avantajlar sunar.<\/span><\/p>\n

A\u00e7\u0131k Art\u0131rma (Open Auction \u2013 RTB)<\/b><\/h3>\n

A\u00e7\u0131k art\u0131rma modeli, programatik reklamc\u0131l\u0131\u011f\u0131n en bilinen ve en yayg\u0131n kullan\u0131lan formudur. Bu modelde reklam alanlar\u0131, ger\u00e7ek zamanl\u0131 a\u00e7\u0131k art\u0131rma y\u00f6ntemiyle sat\u0131l\u0131r. Reklamverenler, her bir g\u00f6sterim i\u00e7in anl\u0131k olarak teklif verir ve en y\u00fcksek teklifi veren reklam g\u00f6sterilir.<\/span><\/p>\n

Bu yap\u0131, geni\u015f \u00f6l\u00e7ekli eri\u015fim ve maliyet verimlili\u011fi sa\u011flar. \u00d6zellikle performans odakl\u0131 kampanyalarda, d\u00f6n\u00fc\u015f\u00fcm veya trafik hedeflerinde s\u0131k\u00e7a tercih edilir. Ancak envanter ve yerle\u015fim \u00fczerinde kontrol seviyesi s\u0131n\u0131rl\u0131d\u0131r.<\/span><\/p>\n

RTB sistemlerinin nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131na dair teknik detaylar, Google Ads<\/span><\/span><\/strong><\/a> yard\u0131m dok\u00fcmanlar\u0131nda ayr\u0131nt\u0131l\u0131 olarak a\u00e7\u0131klanmaktad\u0131r.<\/p>\n

\u00d6zel A\u00e7\u0131k Art\u0131rma (Private Auction \/ Private Marketplace \u2013 PMP)<\/b><\/h3>\n

Private Auction modeli, a\u00e7\u0131k art\u0131rman\u0131n daha kontroll\u00fc bir versiyonudur. Yay\u0131nc\u0131lar, envanterlerini herkese a\u00e7mak yerine yaln\u0131zca belirli reklamverenlere veya ajanslara sunar.<\/span><\/p>\n

Bu modelde hem programatik otomasyon hem de daha kaliteli envanter avantaj\u0131 bir araya gelir. Marka g\u00fcvenli\u011fi, g\u00f6r\u00fcn\u00fcrl\u00fck ve premium yay\u0131nc\u0131 eri\u015fimi a\u00e7\u0131s\u0131ndan \u00f6nemli bir denge sa\u011flar. Genellikle orta ve \u00fcst segment marka kampanyalar\u0131nda tercih edilir.<\/span><\/p>\n

Tercihli Anla\u015fma (Preferred Deal)<\/b><\/h3>\n

Preferred Deal modelinde reklamveren, belirli bir yay\u0131nc\u0131n\u0131n envanterine \u00f6ncelikli eri\u015fim hakk\u0131 elde eder. Fiyat \u00f6nceden sabittir ancak sat\u0131n alma zorunlulu\u011fu yoktur. Reklamveren, envanteri de\u011ferlendirme ve sat\u0131n alma konusunda esnekli\u011fe sahiptir.<\/span><\/p>\n

Bu model, kaliteli yay\u0131nc\u0131 envanterine eri\u015fmek isteyen ancak b\u00fct\u00e7e ve g\u00f6sterim garantisi vermek istemeyen markalar i\u00e7in uygundur. A\u00e7\u0131k art\u0131rmaya girmeden, daha stabil bir sat\u0131n alma s\u00fcreci sunar.<\/span><\/p>\n

Programatik Garantili (Programmatic Guaranteed)<\/b><\/h3>\n

Programatik garantili model, klasik do\u011frudan sat\u0131n alma ile programatik teknolojinin birle\u015fimidir. Bu modelde g\u00f6sterim say\u0131s\u0131, fiyat ve yerle\u015fimler \u00f6nceden net \u015fekilde belirlenir ve garanti alt\u0131na al\u0131n\u0131r.<\/span><\/p>\n

Marka bilinirli\u011fi, lansman ve b\u00fcy\u00fck \u00f6l\u00e7ekli kampanyalar i\u00e7in en \u00e7ok tercih edilen programatik sat\u0131n alma modelidir. Kontrol seviyesi y\u00fcksektir, s\u00fcrpriz maliyet veya eri\u015fim riski bulunmaz. Ancak genellikle di\u011fer modellere k\u0131yasla maliyetlidir.<\/span><\/p>\n

Do\u011frudan Sat\u0131n Alma (Direct \/ Reservation-Based)<\/b><\/h3>\n

Her ne kadar tam anlam\u0131yla programatik olmasa da, baz\u0131 platformlarda do\u011frudan sat\u0131n alma modelleri programatik altyap\u0131larla entegre \u00e7al\u0131\u015f\u0131r. Bu modelde reklamveren, belirli bir yay\u0131nc\u0131dan belirli bir alan\u0131 ve zaman dilimini do\u011frudan rezerve eder.<\/span><\/p>\n

Bu yap\u0131, maksimum g\u00f6r\u00fcn\u00fcrl\u00fck ve marka kontrol\u00fc sa\u011flar ancak hedefleme ve optimizasyon esnekli\u011fi s\u0131n\u0131rl\u0131d\u0131r.<\/span><\/p>\n

\"Programatik<\/h2>\n

Hangi Programatik Model Ne Zaman Tercih Edilmeli?<\/b><\/h2>\n

Programatik sat\u0131n alma modeli se\u00e7imi, kampanyan\u0131n amac\u0131na g\u00f6re de\u011fi\u015fir. Performans ve maliyet optimizasyonu hedefleniyorsa a\u00e7\u0131k art\u0131rma modelleri \u00f6ne \u00e7\u0131kar. Marka g\u00fcvenli\u011fi ve premium envanter \u00f6ncelikliyse private auction veya preferred deal daha uygun olur. Lansman ve b\u00fcy\u00fck b\u00fct\u00e7eli fark\u0131ndal\u0131k kampanyalar\u0131nda ise programatik garantili model en do\u011fru tercihtir.<\/span><\/p>\n

\u00c7o\u011fu marka i\u00e7in ideal yakla\u015f\u0131m, bu modellerin tek ba\u015f\u0131na de\u011fil, <\/span>birlikte ve dengeli \u015fekilde<\/b> kullan\u0131lmas\u0131d\u0131r.<\/span><\/p>\n

Programatik Sat\u0131n Alma Modellerinin Avantajlar\u0131<\/b><\/h2>\n

Programatik sat\u0131n alma modelleri, reklamverenlere h\u0131z, \u00f6l\u00e7eklenebilirlik ve veri odakl\u0131 karar alma imk\u00e2n\u0131 sunar. Manuel s\u00fcre\u00e7ler azal\u0131r, kampanyalar anl\u0131k olarak optimize edilir ve b\u00fct\u00e7eler daha verimli kullan\u0131l\u0131r. Ayn\u0131 zamanda hedefleme do\u011frulu\u011fu artt\u0131\u011f\u0131 i\u00e7in reklam mesajlar\u0131 do\u011fru kullan\u0131c\u0131larla bulu\u015fur.<\/span><\/p>\n

Programatik Reklamc\u0131l\u0131kta Hedefleme Y\u00f6ntemleri Nelerdir?<\/b><\/h2>\n

Programatik reklamc\u0131l\u0131\u011f\u0131n en g\u00fc\u00e7l\u00fc y\u00f6nlerinden biri, reklam mesajlar\u0131n\u0131n do\u011fru kullan\u0131c\u0131ya, do\u011fru zamanda ve do\u011fru ba\u011flamda ula\u015fmas\u0131n\u0131 sa\u011flamas\u0131d\u0131r. Bu g\u00fcc\u00fcn arkas\u0131nda ise geli\u015fmi\u015f <\/span>hedefleme y\u00f6ntemleri<\/b> yer al\u0131r. Geleneksel reklamc\u0131l\u0131kta s\u0131n\u0131rl\u0131 olan hedefleme se\u00e7enekleri, programatik teknolojiler sayesinde \u00e7ok daha hassas ve veriye dayal\u0131 hale gelmi\u015ftir.<\/span><\/p>\n

Bu yaz\u0131da, programatik reklamc\u0131l\u0131kta kullan\u0131lan ba\u015fl\u0131ca hedefleme y\u00f6ntemlerini ve hangi senaryolarda nas\u0131l de\u011ferlendirilmeleri gerekti\u011fini ele al\u0131yoruz.<\/span><\/p>\n

Demografik Hedefleme<\/b><\/h3>\n

Demografik hedefleme, kullan\u0131c\u0131lar\u0131 ya\u015f, cinsiyet, e\u011fitim durumu, gelir seviyesi ve medeni durum gibi temel \u00f6zelliklere g\u00f6re segmentlere ay\u0131r\u0131r. Bu y\u00f6ntem, \u00f6zellikle geni\u015f kitlelere hitap eden markalar i\u00e7in etkili bir ba\u015flang\u0131\u00e7 noktas\u0131d\u0131r.<\/span><\/p>\n

Ancak tek ba\u015f\u0131na demografik hedefleme, kullan\u0131c\u0131 niyetini her zaman do\u011fru yans\u0131tmayabilir. Bu nedenle genellikle di\u011fer hedefleme t\u00fcrleriyle birlikte kullan\u0131ld\u0131\u011f\u0131nda daha y\u00fcksek performans sa\u011flar.<\/span><\/p>\n

\u0130lgi Alan\u0131 ve Davran\u0131\u015fsal Hedefleme<\/b><\/h3>\n

Davran\u0131\u015fsal hedefleme, kullan\u0131c\u0131lar\u0131n internet \u00fczerindeki ge\u00e7mi\u015f etkile\u015fimlerini ve al\u0131\u015fkanl\u0131klar\u0131n\u0131 analiz eder. Ziyaret edilen siteler, okunan i\u00e7erikler ve yap\u0131lan aramalar bu hedefleme t\u00fcr\u00fcn\u00fcn temel veri kaynaklar\u0131d\u0131r.<\/span><\/p>\n

\u0130lgi alan\u0131 hedefleme ise kullan\u0131c\u0131lar\u0131n uzun vadeli e\u011filimlerine odaklan\u0131r. \u00d6rne\u011fin teknolojiyle ilgilenen, seyahat eden veya finans i\u00e7erikleri t\u00fcketen kullan\u0131c\u0131lar bu y\u00f6ntemle hedeflenebilir. Bu yakla\u015f\u0131m, marka mesaj\u0131n\u0131n daha ilgili kitlelere ula\u015fmas\u0131n\u0131 sa\u011flar.<\/span><\/p>\n

Kontekst\u00fcel (\u0130\u00e7erik Bazl\u0131) Hedefleme<\/b><\/h3>\n

Kontekst\u00fcel hedefleme, reklamlar\u0131n kullan\u0131c\u0131 davran\u0131\u015f\u0131ndan ba\u011f\u0131ms\u0131z olarak, g\u00f6r\u00fcnt\u00fclendi\u011fi i\u00e7erikle uyumlu \u015fekilde g\u00f6sterilmesini sa\u011flar. Reklamlar; haber, blog veya video i\u00e7eri\u011finin konusuna g\u00f6re e\u015fle\u015ftirilir.<\/span><\/p>\n

Bu y\u00f6ntem, \u00f6zellikle gizlilik odakl\u0131 reklamc\u0131l\u0131\u011f\u0131n \u00f6nem kazand\u0131\u011f\u0131 g\u00fcn\u00fcm\u00fczde yeniden \u00f6ne \u00e7\u0131kmaktad\u0131r. Ayn\u0131 zamanda marka g\u00fcvenli\u011fi a\u00e7\u0131s\u0131ndan da g\u00fc\u00e7l\u00fc bir alternatiftir.<\/span><\/p>\n

Co\u011frafi (Lokasyon) Hedefleme<\/b><\/h3>\n

Lokasyon hedefleme, kullan\u0131c\u0131lar\u0131 bulunduklar\u0131 \u00fclke, \u015fehir, b\u00f6lge veya belirli bir nokta etraf\u0131nda hedeflemeyi m\u00fcmk\u00fcn k\u0131lar. Fiziksel ma\u011fazas\u0131 olan markalar veya b\u00f6lgesel kampanyalar y\u00fcr\u00fcten i\u015fletmeler i\u00e7in olduk\u00e7a etkilidir.<\/span><\/p>\n

Daha geli\u015fmi\u015f senaryolarda, kullan\u0131c\u0131lar\u0131n belirli lokasyonlara giri\u015f-\u00e7\u0131k\u0131\u015f davran\u0131\u015flar\u0131 da analiz edilerek hedefleme yap\u0131labilir.<\/span><\/p>\n

Cihaz ve Platform Bazl\u0131 Hedefleme<\/b><\/h3>\n

Programatik reklamc\u0131l\u0131kta kullan\u0131c\u0131lar; masa\u00fcst\u00fc, mobil, tablet veya ba\u011fl\u0131 TV gibi farkl\u0131 cihazlara g\u00f6re hedeflenebilir. Ayr\u0131ca i\u015fletim sistemi, taray\u0131c\u0131 ve uygulama i\u00e7i ortamlar da hedefleme kriteri olarak kullan\u0131labilir.<\/span><\/p>\n

Bu y\u00f6ntem, \u00f6zellikle mobil odakl\u0131 kampanyalar veya \u00e7ok ekranl\u0131 kullan\u0131c\u0131 deneyimleri i\u00e7in \u00f6nemlidir.<\/span><\/p>\n

Yeniden Hedefleme (Retargeting)<\/b><\/h3>\n

Yeniden hedefleme, markayla daha \u00f6nce etkile\u015fime ge\u00e7mi\u015f kullan\u0131c\u0131lar\u0131n tekrar hedeflenmesini sa\u011flar. Web sitesini ziyaret eden, \u00fcr\u00fcn inceleyen veya sepete ekleme yapan kullan\u0131c\u0131lar bu kapsama girer.<\/span><\/p>\n

Retargeting, d\u00f6n\u00fc\u015f\u00fcm odakl\u0131 kampanyalar\u0131n en etkili y\u00f6ntemlerinden biridir. Kullan\u0131c\u0131n\u0131n marka ile olan ge\u00e7mi\u015f etkile\u015fimi, mesaj\u0131n daha ikna edici olmas\u0131n\u0131 sa\u011flar.<\/span><\/p>\n

Benzer Kitle (Lookalike) Hedefleme<\/b><\/h3>\n

Benzer kitle hedefleme, mevcut m\u00fc\u015fterilere veya y\u00fcksek performansl\u0131 kullan\u0131c\u0131 segmentlerine benzeyen yeni kullan\u0131c\u0131lar\u0131n bulunmas\u0131n\u0131 sa\u011flar. Bu y\u00f6ntem, \u00f6l\u00e7eklenme hedefi olan kampanyalarda s\u0131k\u00e7a kullan\u0131l\u0131r.<\/span><\/p>\n

Veriye dayal\u0131 olmas\u0131 sayesinde, rastgele kitle geni\u015fletmeye k\u0131yasla daha nitelikli eri\u015fim sunar.<\/span><\/p>\n

Veri Bazl\u0131 ve 3. Parti Hedefleme<\/b><\/h3>\n

Programatik reklamc\u0131l\u0131kta birinci parti (first-party), ikinci parti (second-party) ve \u00fc\u00e7\u00fcnc\u00fc parti (third-party) veriler kullan\u0131labilir. CRM verileri, site ziyaret\u00e7ileri ve m\u00fc\u015fteri listeleri bu hedeflemenin temelini olu\u015fturur.<\/span><\/p>\n

\u00d6zellikle birinci parti verilerin \u00f6nemi, gizlilik reg\u00fclasyonlar\u0131yla birlikte giderek artmaktad\u0131r. Markalar, kendi verilerini kullanarak daha s\u00fcrd\u00fcr\u00fclebilir hedefleme stratejileri geli\u015ftirmektedir.<\/span><\/p>\n

Zaman ve Frekans Hedefleme<\/b><\/h2>\n

Zaman hedefleme, reklamlar\u0131n belirli g\u00fcn ve saatlerde g\u00f6sterilmesini sa\u011flar. Frekans kontrol\u00fc ise ayn\u0131 kullan\u0131c\u0131n\u0131n reklam\u0131 ka\u00e7 kez g\u00f6rece\u011fini s\u0131n\u0131rlar.<\/span><\/p>\n

Bu y\u00f6ntemler, b\u00fct\u00e7e verimlili\u011fini art\u0131r\u0131rken kullan\u0131c\u0131y\u0131 rahats\u0131z edecek tekrarlar\u0131n \u00f6n\u00fcne ge\u00e7er.<\/span><\/p>\n

 <\/p>\n

Di\u011fer blog yaz\u0131lar\u0131m\u0131za buradan<\/a> ula\u015fabilirsiniz.<\/p>\n","protected":false},"excerpt":{"rendered":"

Dijital reklamc\u0131l\u0131k d\u00fcnyas\u0131nda h\u0131z, veri ve otomasyon her ge\u00e7en g\u00fcn daha kritik hale geliyor. Bu d\u00f6n\u00fc\u015f\u00fcm\u00fcn merkezinde ise programatik sat\u0131n alma yer al\u0131yor. Programatik reklamc\u0131l\u0131k, reklam alanlar\u0131n\u0131n insan m\u00fcdahalesi olmadan, yaz\u0131l\u0131mlar ve algoritmalar arac\u0131l\u0131\u011f\u0131yla sat\u0131n al\u0131nmas\u0131n\u0131 sa\u011flar. Ancak programatik denildi\u011finde tek bir sat\u0131n alma y\u00f6ntemi yoktur. Farkl\u0131 hedeflere, b\u00fct\u00e7elere ve kontrol seviyelerine g\u00f6re \u015fekillenen \u00e7e\u015fitli […]<\/p>\n","protected":false},"author":11,"featured_media":1450,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"yoast_head":"\nProgramatik Sat\u0131n Alma Modelleri Nelerdir? - Theadx Blog<\/title>\n<meta name=\"description\" content=\"Bu yaz\u0131da, programatik sat\u0131n alma modellerini detayl\u0131 \u015fekilde ele al\u0131yor ve hangi modelin hangi senaryoda tercih edilmesi gerekti\u011fini a\u00e7\u0131kl\u0131yoruz.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.theadx.com\/blog\/programatik-satin-alma-modelleri-nelerdir\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programatik Sat\u0131n Alma Modelleri Nelerdir? 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