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#081e56;}.icon.icon-post {background-image: url("https://e-dialog.group/wp-content/uploads/2022/01/e-dialog-blog.svg");}.icon.icon-success-story {background-image: url("https://e-dialog.group/wp-content/uploads/2022/01/e-dialog-success-stories.svg");}.icon.icon-whitepaper {background-image: url("https://e-dialog.group/wp-content/uploads/2022/01/e-dialog-whitepaper.svg");}.icon.icon-job {background-image: url("https://e-dialog.group/wp-content/uploads/2022/01/e-dialog-jobs.svg");}.icon.icon-e-dialog-event {background-image: url("https://e-dialog.group/wp-content/uploads/2022/01/e-dialog-events.svg");}.icon.icon-pressrelease {background-image: url("https://e-dialog.group/wp-content/uploads/2022/01/e-dialog-presse.svg");}</style> <div data-rocket-location-hash="b4d58d7e7fd8b45b2c5dc879cde7eb3f" class="mwd-blogPost flex breadcrumb"> <div data-rocket-location-hash="0841f15ebf099eeaba6f2c7f735d0671" class="container"> <span class="parent"> <a href="https://e-dialog.group/de/blog/" title="Blog">Blog</a> </span> <span class="arrow">></span> <span class="category">Digital Analytics</span> <span class="arrow">></span> <span class="child">GA4 BigQuery Export</span> </div> </div> <div data-bg="https://e-dialog.group/wp-content/uploads/2022/02/BigQuery-Export.png" data-rocket-location-hash="02d4150a0dface5de94f18dffeba4b61" class="mwd-blogPost flex header rocket-lazyload" style=""><div data-rocket-location-hash="ca23f7c07336b7cf8c7766d2ffffc9d9" class="container"><h1>GA4 BigQuery Export</h1><p class="author">von Lukas Wojcik</p></div></div><div data-rocket-location-hash="5ba37d1761429b8aa4a845fb1ec6d187" class="mwd-blogPost flex metabox space-top space-bottom"><div data-rocket-location-hash="04b24f2a01e05ca636ff58e62299aa1e" class="container"><div data-rocket-location-hash="1572ce06debb49357e5111f58a6037a3" class="col"><div class="metabox-holder"><div class="date">01. Februar 2021</div><div class="duration"> <span class="span-reading-time rt-reading-time"><span class="rt-label rt-prefix">Lesedauer:</span> <span class="rt-time"> 3</span> <span class="rt-label rt-postfix">Minuten</span></span></div></div><div class="excerpt-box"><h3>Management Summary</h3><p>Mit der Einführung von Google Analytics 4 Properties möchte Google die App und Web Welten vereinen. Bislang musste man für Apps eigene Arten von Properties erstellen, welche separat ausgewertet werden mussten. Mit GA4 kann man Daten aus Apps und Webseiten in eine Datensammlung (Property) einlaufen lassen und sich zeitgleich einen Rohdatenexport dessen aufbereiten lassen. Zum normalen BigQuery Tarif!</p></div></div><div data-rocket-location-hash="4ba29acbbfca62c6f947577f2c748b2d" class="col"><div class="categorybox"><div class="categorybox-inner"><div class="categorybox-inner-title">Digital Analytics</div><p><p>Webanalyse steht für Messbarkeit und ist die Grundlage für langfristige Erfolgskontrolle und Effizienzsteigerung Ihrer (Online) Marketing Aktivitäten.</p> </p><a href="/de/daten-nutzen/#digital-analytics" class="btn btn--space-top">Mehr Erfahren</a></div><div id="wobble"></div></div></div></div></div><div data-rocket-location-hash="b49efa3be72975323cf1dd9c201b9509" class="mwd-blogPost flex content space-top space-bottom"><div data-rocket-location-hash="68e122c6b23b4519e49c5a2a57b5f054" class="container"> <div data-rocket-location-hash="8e51b3dcd38266af4b9f201b0a54f76e" data-elementor-type="wp-post" data-elementor-id="40727" class="elementor elementor-40727 elementor-27869" data-elementor-post-type="post"> <section class="elementor-section elementor-top-section elementor-element elementor-element-6afad951 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="6afad951" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-16241bf0" data-id="16241bf0" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-2ba0737 elementor-widget elementor-widget-heading" data-id="2ba0737" data-element_type="widget" data-widget_type="heading.default"> <div class="elementor-widget-container"> <h2 class="elementor-heading-title elementor-size-default">Was ändert sich mit GA4?</h2> </div> </div> <div class="elementor-element elementor-element-1b783e85 elementor-widget elementor-widget-text-editor" data-id="1b783e85" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>Grundsätzlich hatten wir bei Universal Analytics ein Sitzung + Seitenaufruf Modell, welches die Journey auf Webseiten gut abgebildet hat. Dieses Modell konnte aber nicht exakt gleich auf Apps angewandt werden. Aus dem Grund entstand Firebase Analytics. Ein ereignisbasiertes Modell, welches zudem durch frei wählbare Parameter gestützt wird.</p> </div> </div> <div class="elementor-element elementor-element-47a08e3 elementor-widget elementor-widget-text-editor" data-id="47a08e3" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>Um ein gemeinsames Modell für Apps und Webseiten zu Nutzen, wurde beim Zusammenfassen beider Welten das Firebase Modell gewählt. Man kann dadurch genauso Seitenaufrufe als Ereignis messen und die Parameter tracken, die von Interesse sind.<br />Wer also schon mit Firebase und dem Firebase BigQuery Export gearbeitet hat, wird sehen, dass das GA4 Export Schema auf dem Firebase Analytics Export Schema basiert.</p> </div> </div> <div class="elementor-element elementor-element-6aed0e7 elementor-widget elementor-widget-text-editor" data-id="6aed0e7" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>Diese Änderung spiegelt sich auch im BigQuery Rohdaten Export wider. Queries, die man bisher für das <a href="https://support.google.com/analytics/answer/3437719?hl=de">Universal Analytics Export Schema</a> geschrieben hat, bedürfen einem umfangreichen Umdenken für das <a href="https://support.google.com/analytics/answer/7029846?hl=de&ref_topic=9359001">GA4 Export Schema</a>.</p> </div> </div> </div> </div> </div> </section> <section class="elementor-section elementor-top-section elementor-element elementor-element-d1cabe2 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="d1cabe2" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f7f889f" data-id="f7f889f" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-28f0401 elementor-widget elementor-widget-heading" data-id="28f0401" data-element_type="widget" data-widget_type="heading.default"> <div class="elementor-widget-container"> <h2 class="elementor-heading-title elementor-size-default">Welche Neuerungen gibt es?</h2> </div> </div> <div class="elementor-element elementor-element-1cd0598 elementor-widget elementor-widget-text-editor" data-id="1cd0598" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>Das wichtigste zuerst: <strong>Der Export selbst ist bei GA4 kostenlos!</strong> Das Speichern und Abfragen der Daten kostet entsprechend des BigQuery Tarifs. (<a href="https://cloud.google.com/bigquery/pricing#queries">Abfragepreise</a>, <a href="https://cloud.google.com/bigquery/pricing#storage">Speicherpreise</a>) Es kommt auf die Größe der Daten und die Anzahl der Abfragen an, wie hoch am Ende die Google Cloud Rechnung sein wird. Im Gegensatz dazu, muss man bei <strong>Universal Analytics eine 360 Lizenz erwerben, um den BigQuery Export für Universal Analytics einzurichten.</strong> Ohne der Lizenz, bleibt der Export verborgen.</p> </div> </div> <div class="elementor-element elementor-element-e821ed0 elementor-widget elementor-widget-text-editor" data-id="e821ed0" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>Ein Datensatz beim Universal Analytics Export Schema bedeutet immer eine komplette Sitzung. Der Datensatz hat Nested-Felder, welche die unterliegenden Hits beinhalten. Um an die Daten der Hits zu gelangen, nutzt man bei Standard SQL Abfragen die UNNEST Funktion.<br />Bei Daten von GA4 entspricht ein Datensatz (eine Zeile einer Tabelle) einem Ereignis. Hier arbeitet Google auch mit Nested-Feldern. Im Export Schema sind diese Felder mit dem Feld Typ “Datensatz” gekennzeichnet.</p> </div> </div> <div class="elementor-element elementor-element-eb3b98a elementor-widget elementor-widget-text-editor" data-id="eb3b98a" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>Im GA4 BigQuery Export Schema gibt es dedizierte Nested-Felder für App Informationen und getrennt davon Web Informationen. Die auf den ersten Blick wichtigsten Informationen werden wir jedoch im Nested-Feld “event_params” wiederfinden:</p> </div> </div> <div class="elementor-element elementor-element-622c046 elementor-widget elementor-widget-image" data-id="622c046" data-element_type="widget" data-widget_type="image.default"> <div class="elementor-widget-container"> <img fetchpriority="high" decoding="async" width="800" height="264" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20800%20264'%3E%3C/svg%3E" class="attachment-large size-large wp-image-24252" alt="" data-lazy-srcset="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq2.png 932w, https://e-dialog.group/wp-content/uploads/2022/02/ga4bq2-300x99.png 300w, https://e-dialog.group/wp-content/uploads/2022/02/ga4bq2-768x254.png 768w" data-lazy-sizes="(max-width: 800px) 100vw, 800px" data-lazy-src="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq2.png" /><noscript><img fetchpriority="high" decoding="async" width="800" height="264" src="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq2.png" class="attachment-large size-large wp-image-24252" alt="" srcset="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq2.png 932w, https://e-dialog.group/wp-content/uploads/2022/02/ga4bq2-300x99.png 300w, https://e-dialog.group/wp-content/uploads/2022/02/ga4bq2-768x254.png 768w" sizes="(max-width: 800px) 100vw, 800px" /></noscript> </div> </div> <div class="elementor-element elementor-element-b62271d elementor-widget elementor-widget-text-editor" data-id="b62271d" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>Musste man bei Universal Analytics das Nested-Feld “hits” mit der UNNEST Funktion aufbrechen, um darunter das Feld “page” und das Feld pageTitle zuzugreifen, muss man beim GA4 Export auf den Schlüssel (key) beim Nested-Feld event_params zugreifen, zuerst nach dem Schlüssel “page_title” Filtern und sich dann den Wert über das “value.string_value” Feld ausgeben lassen:</p> </div> </div> <div class="elementor-element elementor-element-9171be7 elementor-widget elementor-widget-image" data-id="9171be7" data-element_type="widget" data-widget_type="image.default"> <div class="elementor-widget-container"> <img decoding="async" width="634" height="482" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20634%20482'%3E%3C/svg%3E" class="attachment-large size-large wp-image-24253" alt="" data-lazy-srcset="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq3.png 634w, https://e-dialog.group/wp-content/uploads/2022/02/ga4bq3-300x228.png 300w" data-lazy-sizes="(max-width: 634px) 100vw, 634px" data-lazy-src="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq3.png" /><noscript><img decoding="async" width="634" height="482" src="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq3.png" class="attachment-large size-large wp-image-24253" alt="" srcset="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq3.png 634w, https://e-dialog.group/wp-content/uploads/2022/02/ga4bq3-300x228.png 300w" sizes="(max-width: 634px) 100vw, 634px" /></noscript> </div> </div> <div class="elementor-element elementor-element-7b4f4a5 elementor-widget elementor-widget-text-editor" data-id="7b4f4a5" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>Mit oben stehender Abfrage konnte eine Analyse der am öftesten angezeigten Seitentitel unserer Seite ausgeführt werden. Die Tabelle wurde also mit dem UNNEST Befehl geebnet, sodass wir direkt auf den Wert in “key” und den Wert in “value.string_value” zugreifen können. Ohne den UNNEST Befehl, wirft BigQuery den Fehler, dass man das Feld nicht direkt aufrufen kann:</p> </div> </div> <div class="elementor-element elementor-element-eaf50d5 elementor-widget elementor-widget-image" data-id="eaf50d5" data-element_type="widget" data-widget_type="image.default"> <div class="elementor-widget-container"> <img decoding="async" width="800" height="34" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20800%2034'%3E%3C/svg%3E" class="attachment-large size-large wp-image-24254" alt="" data-lazy-srcset="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq4.png 932w, https://e-dialog.group/wp-content/uploads/2022/02/ga4bq4-300x13.png 300w, https://e-dialog.group/wp-content/uploads/2022/02/ga4bq4-768x33.png 768w" data-lazy-sizes="(max-width: 800px) 100vw, 800px" data-lazy-src="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq4.png" /><noscript><img loading="lazy" decoding="async" width="800" height="34" src="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq4.png" class="attachment-large size-large wp-image-24254" alt="" srcset="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq4.png 932w, https://e-dialog.group/wp-content/uploads/2022/02/ga4bq4-300x13.png 300w, https://e-dialog.group/wp-content/uploads/2022/02/ga4bq4-768x33.png 768w" sizes="(max-width: 800px) 100vw, 800px" /></noscript> </div> </div> </div> </div> </div> </section> <section class="elementor-section elementor-top-section elementor-element elementor-element-eab58bd elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="eab58bd" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2db40e7" data-id="2db40e7" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-33401fe elementor-widget elementor-widget-heading" data-id="33401fe" data-element_type="widget" data-widget_type="heading.default"> <div class="elementor-widget-container"> <h2 class="elementor-heading-title elementor-size-default">Warum sollte man den GA4 BigQuery Export in Betracht ziehen?</h2> </div> </div> <div class="elementor-element elementor-element-1b55660 elementor-widget elementor-widget-text-editor" data-id="1b55660" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <ul><li>Ihre Daten gehören Ihnen! Sichern Sie sich Ihre Rohdaten in BigQuery (Google Cloud) und bzw. oder senden Sie sie an Ihr DWH (Data Warehouse) in anderen Clouds wie zum Beispiel AWS oder Azure</li><li>Visualisieren Sie Ihre Daten noch besser in Tools wie Data Studio</li><li>Verknüpfen Sie Ihre Daten mit Daten aus anderen Plattformen auf Rohdatenbasis und bereichern Sie sie mit Daten aus anderen Rohdatenquellen wie Beispielsweise aus ihrem Firmeninternen CRM</li><li>Machine-Learning Tools lieben Rohdaten – BigQuery ML könnte auch mit Ihren GA4 Daten Machine-Learning Modelle bilden und Empfehlungen ableiten</li><li>Führen Sie grundsätzlich erweiterte Analysen Ihrer Daten durch</li></ul> </div> </div> </div> </div> </div> </section> <section class="elementor-section elementor-top-section elementor-element elementor-element-31e10a6 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="31e10a6" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8b7e866" data-id="8b7e866" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-7f58e18 elementor-widget elementor-widget-heading" data-id="7f58e18" data-element_type="widget" data-widget_type="heading.default"> <div class="elementor-widget-container"> <h2 class="elementor-heading-title elementor-size-default">GA4 Properties BigQuery Verknüpfung einschalten</h2> </div> </div> <div class="elementor-element elementor-element-767d670 elementor-widget elementor-widget-text-editor" data-id="767d670" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>Die Verknüpfung von Google Analytics 4 Properties Daten mit BigQuery funktioniert ähnlich wie bei Universal Analytics: Über den Adminbereich.</p> </div> </div> <div class="elementor-element elementor-element-7241905 elementor-widget elementor-widget-image" data-id="7241905" data-element_type="widget" data-widget_type="image.default"> <div class="elementor-widget-container"> <img decoding="async" width="237" height="121" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20237%20121'%3E%3C/svg%3E" class="attachment-large size-large wp-image-24255" alt="" data-lazy-src="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq5.png" /><noscript><img loading="lazy" decoding="async" width="237" height="121" src="https://e-dialog.group/wp-content/uploads/2022/02/ga4bq5.png" class="attachment-large size-large wp-image-24255" alt="" /></noscript> </div> </div> <div class="elementor-element elementor-element-44acf52 elementor-widget elementor-widget-text-editor" data-id="44acf52" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>Im mittleren Bereich (Property Level) des Adminbereichs finden Sie den Punkt “PRODUKTVERKNÜPFUNG” und darunter die BigQuery Verknüpfung.<br />Die Angabe der benötigten Details ist die selbe wie bei Universal Analytics, nur dass man hier die Datenstreams auswählen kann, die man in BigQuery sehen möchte. Genauso wie bei der Firebase BigQuery Integration hat man hier mit der <a href="https://cloud.google.com/bigquery/docs/sandbox">BigQuery Sandbox</a> die Möglichkeit, die Daten vollständig kostenlos zu exportieren. Bis zu einem gewissen <a href="https://cloud.google.com/bigquery/docs/sandbox#limits">Limit</a>.</p> </div> </div> </div> </div> </div> </section> <section class="elementor-section elementor-top-section elementor-element elementor-element-4ba67e9 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="4ba67e9" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b60a391" data-id="b60a391" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-c1eb207 elementor-widget elementor-widget-heading" data-id="c1eb207" data-element_type="widget" data-widget_type="heading.default"> <div class="elementor-widget-container"> <h3 class="elementor-heading-title elementor-size-default">Für mehr Information zum Verknüpfen von Google Analytics 4 Properties mit Google BigQuery kontaktieren Sie einfach unsere Experten: <a href="mailto:kontakt@e-dialog.group">kontakt@e-dialog.group</a> </h3> </div> </div> </div> </div> </div> </section> </div> </div></div><div data-rocket-location-hash="ddfa30e7b85577acd84410f15654357f" class="mwd-blogPost flex call-to-action space-top space-bottom"><div data-rocket-location-hash="f9357140ee36883ea6064de5d7279a99" class="container"><div data-rocket-location-hash="b0ba8a09814c8228efb38942e632ca71" class="call-to-action-inner"><span class="lead">Kampagne anfragen</span><div class="call-to-action-inner-title">Bereit für Ihr neues Projekt?</div><p>Wir freuen uns auf Ihre Anfrage und beraten Sie gerne unverbindlich! Füllen Sie dazu einfach das Kontaktformular aus oder rufen uns direkt an.</p><a href="https://e-dialog.group/de/kontaktformular/" class="btn" title="Jetzt kontaktieren">Jetzt kontaktieren</a></div></div><div data-rocket-location-hash="03910ff8661ec99940484bdcacc47ffb" id="wobbleCTA"></div></div> <div data-rocket-location-hash="432af2bac3067702fc14620b17bfd000" class="mwd-blogPost flex more-topics space-top space-bottom"> <div data-rocket-location-hash="e02d4abb341ba01ddcf628736c86d19a" class="container"> <h3 class="more-topics-headline">Weitere Themen</h3> <div data-rocket-location-hash="42cd2c730aabf27b255fca5895c1d6b0" class="c-post-types c-post-types--slider"> <div class="c-post-types__container swiper-container" data-interval="0"> <div class="swiper-wrapper"> <article class="c-post-types__entry post-59182 post type-post swiper-slide"> <div class="c-post-types__entry-card"> <a class="c-post-types__entry-thumbnail-link" 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