Setelah menyiapkan semuanya, Anda dapat memulai dan menjalankan pengujian A/B. Selama pengujian berjalan, Anda dapat meninjau hasilnya di konsol Firebase.
Men-deploy aplikasi dan memulai pengujian
Setelah Anda menambahkan logika untuk menangani nilai parameter Remote Config
(langkah sebelumnya), deploy build terbaru aplikasi Anda yang menyertakannya.
Di konsol Firebase, mulai A/B testing dengan mengklik
Mulai Eksperimen.
Meninjau hasil
Firebase A/B Testing akan menjalankan eksperimen Anda. Setelah pengguna melihat berbagai varian, konsol Firebase akan menampilkan saran peningkatan.
Tinjau performa setiap varian berdasarkan metrik yang Anda pilih selama penyiapan pengujian.
Firebase A/B Testing membuat penilaiannya berdasarkan metrik utama yang
yang Anda pilih, tetapi A/B Testing juga akan memberi Anda data untuk semua
metrik sekunder lainnya yang dipilih. Dengan data tersebut, Anda dapat memperhitungkan metrik sekunder ini saat membuat penilaian akhir tentang performa varian.
Gambar di bawah menunjukkan contoh pengujian yang dijalankan dengan empat varian, termasuk dasar pengukuran (perhatikan bahwa dalam tutorial ini, kami hanya menggunakan tiga varian agar tetap sederhana). Dalam contoh di bawah ini, A/B Testing telah menentukan bahwa pemenang
adalah Varian A karena peningkatan pada metrik utama
Estimasi pendapatan total.
UI Firebase console yang menunjukkan contoh hasil pengujian A/B"
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[null,null,["Terakhir diperbarui pada 2025-07-24 UTC."],[],[],null,["Step 4: Start the A/B test and review the test results in the Firebase console\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------|\n| Introduction: [Optimize AdMob ad frequency using Firebase](/docs/tutorials/optimize-ad-frequency) |\n| Step 1: [Use AdMob to create new ad unit variants for testing](/docs/tutorials/optimize-ad-frequency/step-1) |\n| Step 2: [Set up an A/B test in the Firebase console](/docs/tutorials/optimize-ad-frequency/step-2) |\n| Step 3: [Handle Remote Config parameter values in your app's code](/docs/tutorials/optimize-ad-frequency/step-3) |\n| **Step 4: Start the A/B test and review the test results in the Firebase console** \u003cbr /\u003e |\n| Step 5: [Decide whether to roll out the new ad format](/docs/tutorials/optimize-ad-frequency/step-5) |\n\n\u003cbr /\u003e\n\nNow that you have everything set up, you're ready to start and run your A/B\ntest. While the test is running, you can review results in the\nFirebase console.\n\n**Deploy your app and start the test**\n\n1. After you add the logic to handle the Remote Config parameter value\n (previous step), deploy the latest builds of your app that include them.\n\n2. In the Firebase console, start the A/B test by clicking\n **Start Experiment**.\n\n**Review results**\n\n1. Firebase A/B Testing will run your experiment. After it's exposed users\n to the different variants, the Firebase console will display an\n improvement suggestion.\n\n2. Review how each variant performed based on the metrics that you selected\n during test setup.\n\n Firebase A/B Testing makes its judgement based on the primary metric that\n you selected, but A/B Testing also provides you with data for all the\n other secondary metrics that you selected. This allows you to take into\n account these secondary metrics when making a final judgement about the\n performance of a variant.\n\nThe image below shows an example of a test run with four variants, including the\nbaseline (note that in this tutorial we kept it more simple with only three\nvariants). In this example below, A/B Testing has determined that the winning\nvariant is *Variant A* due to the improvements in the primary metric of\n*Estimated total revenue*.\nFirebase console UI showing example A/B test results\" class=\"screenshot\"\\\u003e\n\n\u003cbr /\u003e\n\n*** ** * ** ***\n\n\u003cbr /\u003e\n\n[arrow_back_ios**Step 3** : Handle Remote Config parameter values](/docs/tutorials/optimize-ad-frequency/step-3)\n[**Step 5** : Decide whether to roll out the new ad formatarrow_forward_ios](/docs/tutorials/optimize-ad-frequency/step-5)\n\n\u003cbr /\u003e\n\n*** ** * ** ***"]]
UI Firebase console yang menunjukkan contoh hasil pengujian A/B"
class="screenshot">