Biar lebih paham, kita pakai contoh ini:

Misalnya kamu punya dua versi judul email. Dengan A/B Testing, kamu bisa kirim judul A ke separuh audiens, dan judul B ke sisanya. Hasilnya akan menunjukkan versi mana yang lebih banyak diklik.

Fungsi A/B Testing

A/B Testing punya banyak manfaat, terutama dalam hal optimasi performa dan efisiensi strategi pemasaran digital. Beberapa tujuan utamanya antara lain:

• Meningkatkan konversi
• Mengurangi bounce rate
• Mengoptimalkan user experience
• Mendukung keputusan berbasis data

Panduan Melakukan A/B Testing

Berikut panduan singkat langkah melakukan A/B Testing:

1. Tentukan Tujuan Uji Coba
Misalnya ingin meningkatkan CTR (click-through rate) pada tombol CTA di halaman landing.

2. Identifikasi Variabel yang Akan Diuji
Pilih satu elemen yang ingin diuji, seperti warna tombol, judul artikel, gambar, atau layout.

3. Buat Dua Versi (A dan B)
Versi A sebagai kontrol (versi asli) dan versi B sebagai variasi yang ingin diuji.

4. Tentukan Sample dan Durasi Tes
Bagikan traffic secara acak antara versi A dan B. Durasi pengujian idealnya minimal beberapa hari, tergantung traffic.

5. Analisis Hasil
Lihat mana versi yang punya performa lebih baik berdasarkan metrik yang kamu tentukan sebelumnya.

6. Implementasi dan Evaluasi Lanjutan
Terapkan versi yang menang dan terus evaluasi hasilnya. Kamu bisa lanjut uji elemen lain setelahnya.

Kesimpulan

A/B Testing adalah salah satu strategi penting untuk mengasah efektivitas kampanye digitalmu.

Dengan menguji dan menganalisis respon audiens secara langsung, kamu bisa membuat keputusan pemasaran yang lebih akurat dan berdampak. Mulai dari hal kecil seperti judul email hingga desain halaman utama, semuanya bisa diuji demi hasil yang lebih maksimal.

Gampangnya, ASO itu mirip-mirip kayak SEO, tapi khusus buat aplikasi. Tujuannya untuk meningkatkan visibilitas, jumlah download, dan mendapatkan rating aplikasi.

Kenapa ASO Itu Penting

• Menjangkau pengguna yang tepat
  Dengan menyisipkan kata kunci yang sesuai, kamu bisa menjangkau orang-orang yang memang lagi cari solusi seperti yang aplikasi kamu tawarkan.

• Hemat biaya
  ASO bantu datangkan pengunjung secara organik dari hasil pencarian, jadi kamu nggak perlu terus-menerus bergantung pada iklan berbayar.

• Membangun kepercayaan dan kredibilitas
  Semakin tinggi posisi aplikasi di hasil pencarian, makin besar juga kesan profesional dan kredibel di mata pengguna baru.

• Pertumbuhan jangka panjangOptimasi yang tepat bikin halaman aplikasi kamu terus mendatangkan unduhan dari waktu ke waktu, tanpa harus mulai dari nol lagi.

ASO Ranking Factors

Menurut Semrush, Apple App Store dan Google Play memberi peringkat pada aplikasi secara berbeda dan menampilkannya dengan cara yang bervariasi. 

Berikut ini adalah perbedaan umum antara keduanya:

Apple App Store Ranking Factors

Google Play Store Ranking Factors

Kesimpulan

ASO (App Store Optimization) merupakan cara agar aplikasi kamu makin gampang ditemukan dan makin banyak diunduh  tanpa harus terus memasang iklan. Dengan optimasi yang tepat, kamu bisa menjangkau user yang relevan dan membangun kredibilitas.

Apple App Store dan Google Play Store punya “aturan main” yang beda soal ranking. Apple lebih fokus ke kualitas konten dan pengalaman pengguna, sementara Google lebih mirip algoritma SEO yang menilai teks dan kata kunci secara menyeluruh.

Intinya, kalau kamu serius mau bersaing di pasar aplikasi, jangan anggap remeh ASO. Karena dengan strategi yang tepat, ASO bisa jadi kunci pertumbuhan aplikasi kamu ke level berikutnya.

How to define active users

An active user is a user who engages with an app within a given period of time. This metric gives app developers and marketers valuable insight into their app’s growth, engagement, and stickiness.

What are the most commonly used measurement periods for an active user?

There are three commonly used active user definitions:

Daily active user (DAU): A daily active user is someone who interacts with an app on a specific day (e.g. January 1st).

Weekly active user (WAU): A weekly active user is someone who interacts with an app over a period of seven days (e.g. January 1st-7th).

Monthly active user (MAU): A monthly active user is someone who interacts with an app over a period of 30 days (e.g. January 1st-31st).

The usefulness of each measurement period depends on an app’s vertical. While it’s beneficial to maintain a healthy number of daily active users, an app that is based on seasonal or occasional usage, such as a last-minute hotel booking app or a banking app, might place more emphasis on monthly active users. Monthly active users is an important metric for many businesses because it is another indication of whether their retention rate is healthy.

Daily active users and monthly active users are typically the most commonly used of the three metrics, and can be used to calculate an app’s “stickiness”. Stickiness measures how often users are returning to an app.

For example, if you have 500 monthly active users, and 50 of these users interact with the product every day, then your app has a stickiness of 10%. This means 10% of your daily active users are becoming monthly active users.

What is the difference between users and active users?

During the selected period, active users are calculated by counting each user uniquely. So if a single user is active multiple times in a day, they’ll count as one active user. However, an app will also have inactive, or churned, users who have installed the app but have not used it during the selected period. These users are therefore not counted as active users, but may use the app during a future period with the help of re-engagement campaigns.

Why are active users important?

From a business perspective, active users are important because they have the potential to generate revenue. An app needs active users to survive, so a healthy count of active users is positive.

Calculating an app’s number of active users over a period of time can also help assess the effectiveness of marketing campaigns. Spikes in active user counts that correlate with a push notification on a particular day, or a weekly offer, can be analyzed against like-for-like campaigns to assess performance.

Knowing active user numbers is also essential in calculating key metrics. Figures like retention rate rely on finding out whether users remain active over a period of time, and metrics like lifetime value (LTV) can’t be calculated without retention.

In sum, active user counts act both as a way of checking on the general health of an app and as a first step to calculating deeper and more informative metrics further down the line.

Active users and Adjust

By themselves, active user counts are simple indicators of an app’s health. Knowing daily, weekly and monthly active users during one particular time period and over the course of time will give you an indicator of app performance.

However, to make the most of these figures, marketers and advertisers must attribute individual active users with other information gathered through data collection. In-app spend, session counts, user behavior, and other metrics need to be combined to determine whether active users are truly delivering value.

Data scape provides all of your data in one unified dashboard to deliver clear insights that facilitate quick decision-making.

How to define active users

An active user is a user who engages with an app within a given period of time. This metric gives app developers and marketers valuable insight into their app’s growth, engagement, and stickiness.

What are the most commonly used measurement periods for an active user?

There are three commonly used active user definitions:

Daily active user (DAU): A daily active user is someone who interacts with an app on a specific day (e.g. January 1st).

Weekly active user (WAU): A weekly active user is someone who interacts with an app over a period of seven days (e.g. January 1st-7th).

Monthly active user (MAU): A monthly active user is someone who interacts with an app over a period of 30 days (e.g. January 1st-31st).

The usefulness of each measurement period depends on an app’s vertical. While it’s beneficial to maintain a healthy number of daily active users, an app that is based on seasonal or occasional usage, such as a last-minute hotel booking app or a banking app, might place more emphasis on monthly active users. Monthly active users is an important metric for many businesses because it is another indication of whether their retention rate is healthy.

Daily active users and monthly active users are typically the most commonly used of the three metrics, and can be used to calculate an app’s “stickiness”. Stickiness measures how often users are returning to an app.

For example, if you have 500 monthly active users, and 50 of these users interact with the product every day, then your app has a stickiness of 10%. This means 10% of your daily active users are becoming monthly active users.

What is the difference between users and active users?

During the selected period, active users are calculated by counting each user uniquely. So if a single user is active multiple times in a day, they’ll count as one active user. However, an app will also have inactive, or churned, users who have installed the app but have not used it during the selected period. These users are therefore not counted as active users, but may use the app during a future period with the help of re-engagement campaigns.

Why are active users important?

From a business perspective, active users are important because they have the potential to generate revenue. An app needs active users to survive, so a healthy count of active users is positive.

Calculating an app’s number of active users over a period of time can also help assess the effectiveness of marketing campaigns. Spikes in active user counts that correlate with a push notification on a particular day, or a weekly offer, can be analyzed against like-for-like campaigns to assess performance.

Knowing active user numbers is also essential in calculating key metrics. Figures like retention rate rely on finding out whether users remain active over a period of time, and metrics like lifetime value (LTV) can’t be calculated without retention.

In sum, active user counts act both as a way of checking on the general health of an app and as a first step to calculating deeper and more informative metrics further down the line.

Active users and Adjust

By themselves, active user counts are simple indicators of an app’s health. Knowing daily, weekly and monthly active users during one particular time period and over the course of time will give you an indicator of app performance.

However, to make the most of these figures, marketers and advertisers must attribute individual active users with other information gathered through data collection. In-app spend, session counts, user behavior, and other metrics need to be combined to determine whether active users are truly delivering value.

Data scape provides all of your data in one unified dashboard to deliver clear insights that facilitate quick decision-making.