Ikhtisar Fungsi
Analisis dalam Quick Tracking terdiri dari dua bagian utama: Behavior Insights dan User Insights.
Behavior Insights
Fitur ini menyediakan analisis statistik metrik berbasis event dan mendukung analisis drill-down dengan kondisi pengelompokan serta penyaringan untuk membantu Anda memahami cara pengguna berinteraksi dengan produk serta mengidentifikasi faktor kunci yang memengaruhi metrik.
Fitur ini membantu Anda memahami konversi atau churn pengguna di berbagai langkah perilaku, sehingga Anda dapat mengoptimalkan produk atau menerapkan strategi operasional guna meningkatkan tingkat konversi dan mencapai tujuan bisnis.
Anda dapat menghitung retensi berdasarkan perilaku awal dan perilaku lanjutan yang dikustomisasi untuk berbagai skenario bisnis dan tahapan produk guna menganalisis daya tahan (stickiness) pengguna. Hasil analisis ini dapat digunakan untuk menyesuaikan strategi, membimbing pengguna menemukan nilai produk, mempertahankan mereka, dan mendorong pertumbuhan pengguna yang nyata.
Anda dapat melihat distribusi pengguna untuk metrik event tertentu dalam interval yang ditentukan. Analisis umum mencakup distribusi pengguna berdasarkan jumlah kejadian event, hari penggunaan produk, atau nilai properti tertentu, sehingga Anda dapat lebih memahami karakteristik pengguna.
Anda dapat mengamati interval waktu dan distribusi data antara perilaku pengguna tertentu. Metrik seperti maksimum, minimum, dan median mencerminkan pengalaman pengguna dalam jalur produk, yang dapat digunakan untuk mengevaluasi efektivitas pengaturan fitur produk Anda.
Session analysis menghubungkan perilaku individual pengguna menjadi satu kesatuan yang koheren, sehingga memungkinkan analisis mendalam terhadap rangkaian aksi pengguna dalam produk.
Path analysis menggunakan Diagram Sankey untuk memvisualisasikan jalur pengguna dalam produk dan menggambarkan alur traffic antar halaman. Fitur ini dapat digunakan untuk memvalidasi strategi operasional dan menyempurnakan desain produk.
User Insights
Audience Insights memungkinkan Anda memilih pengguna yang memiliki fitur perilaku dan atribut yang sama dalam periode waktu tertentu, sehingga Anda dapat melakukan analisis dan penjangkauan yang tepat sasaran terhadap kelompok pengguna tersebut.
Anda dapat membagi pengguna berdasarkan tahapan siklus hidupnya untuk fokus menganalisis dan mengelola pengguna yang berisiko churn, sehingga meningkatkan jumlah pengguna aktif.
Lampiran Dokumen
Behavior Insights dan User Insights memiliki beberapa fitur umum. Bagian ini menjelaskan fitur-fitur tersebut secara rinci.
Lampiran 1. Memilih metrik event
Metrik event mencakup metrik preset dan metrik properti. Metrik preset mendukung perhitungan Deduplicated Count, Count, dan Count per Capita. Metrik properti dibagi menjadi tipe string dan numerik. Metrik string mendukung Deduplicated Count, sedangkan metrik numerik mendukung perhitungan seperti Deduplicated Count, Sum, Maximum, Minimum, Average, Lower Quartile, Median, dan Upper Quartile. Tabel berikut menjelaskan metrik-metrik tersebut.
Metric Type | Metric Name | Metric Meaning | Example |
Preset Metric | Deduplicated count of device IDs | The deduplicated count of device IDs for the selected event. | Number of unique OpenIDs that accessed the miniapp. |
Count of device IDs | The number of triggers for the selected event associated with a device ID. | Number of times the miniapp was launched. | |
Count per capita of device IDs | Count of device IDs / Deduplicated count of device IDs | Average number of launches per user for the miniapp. | |
Deduplicated count of account IDs | The deduplicated count of logon account IDs for the selected event. | Number of accounts that paid for orders. | |
Count of account IDs | The total number of times the selected event was triggered by a logged-on account. | Number of times orders were paid. | |
Count per capita of account IDs | Count of account IDs / Deduplicated count of account IDs | Average number of paid orders per person. | |
Deduplicated count of entity IDs | The deduplicated count of entity IDs for the selected event. | Number of active one-ids in a cross-terminal scenario. | |
Count of entity IDs | The number of triggers for the selected event with a specified entity ID | Number of active sessions in a cross-terminal scenario. | |
Count per capita of entity IDs | Count of entity IDs / Deduplicated count of entity IDs | Average number of active sessions per person in a cross-terminal scenario. | |
Property Metric | Deduplicated Count | The deduplicated count of event properties. | Number of unique products exposed. |
Sum | The sum of a numeric property. | Sum of order amounts for paid orders. | |
Maximum | The maximum value of a numeric property. | Maximum order amount for paid orders. | |
Minimum | The minimum value of a numeric property. | Minimum order amount for paid orders. | |
Average | The arithmetic mean of a numeric property. | Average order amount for paid orders. | |
Lower Quartile | The 75th percentile of numeric attributes | The 25th percentile value of the order amount for paid orders. | |
Median | The middle value of a numeric property. | The 50th percentile value of the order amount for paid orders. | |
Upper Quartile | The 25th percentile of values for a numeric property | Data value for the payment of 25% of the order amount | |
P90 | The 90th percentile value of a numeric property. | The 90th percentile value of the order amount for paid orders. |
Lampiran 2. Menambahkan kondisi filter
Anda dapat menyaring data menggunakan properti sistem, global, event, channel, dan pengguna. Tabel berikut menjelaskan properti-properti tersebut.
Category Name | Category Description | Details |
System property | This property applies to all events and is collected by the software development kit (SDK). | A preset system property, such as the SDK version. |
Global property | This property, such as the region of the Ele.me service, applies to all events and is reported by the user. | A property that you enter in the global properties section of the Collection Management platform. |
Event property | This property applies to all events and represents data reported by users or collected by the system, such as the payment amount for a payment event. | A property that you enter in the event properties section of the Collection Management platform. |
Channel property | This property applies to all events. You can use it to view the in-app behavioral characteristics of users from different channels and their contribution to a specific metric. | A property that you enter in the channel properties section of the Collection Management platform. |
User property | This property applies to all events and is sent through a specific event or a server-side API, such as user membership information. | A property that you enter in the user properties section of the Collection Management platform. |
Share reflow property | This property applies to sharing behavior events. It is a key attribution field used to identify users who return to the app through a share link. Examples include `share_id` or `utm_source=share&ref=xxx`. | A property that you enter in the user properties section of the Collection Management platform. |
Operator filter yang didukung berbeda-beda tergantung jenis propertinya. Tabel berikut menjelaskan operator yang tersedia beserta definisinya.
Property Type | Filter Operator | Definition |
String | Equals | Equals one or more specific values. |
Does not equal | Excludes one or more specific values. | |
Contains | Finds values that contain specific characters. | |
Does not contain | Excludes values that contain specific characters. | |
Has no value | Finds data with no property value. | |
Has a value | Finds data with a property value. | |
Numeric | Equals | Equals one or more specific values. |
Does not equal | Does not equal a specific numeric value. | |
Greater than | Is greater than a specific numeric value. | |
Greater than or equal to | Is greater than or equal to a specific numeric value. | |
Less than | Is less than a specific numeric value. | |
Less than or equal to | Is less than or equal to a specific numeric value. | |
Between... and... | Is between two specific numeric values. | |
Has no value | You can find data with no order amount. | |
Has a value | You can find data with an order amount. | |
Boolean | true | The result is true. |
false | The result is false. | |
Has a value | Finds data that has a time value. | |
Has no value | Finds data that has no time value. | |
Timestamp | Absolute time | Equals a fixed time. |
Time period | Within a specific time period. | |
Time relative to the current time | A point in time before or after the current time. | |
Time relative to the event occurrence | Based on the time an event occurred, such as the time of a click event. | |
Time period relative to the event occurrence | A time period relative to an event occurrence. For example, the period from when a click event first occurred to when it occurred again. | |
Has a value | Finds data that has a time value. | |
Has no value | Finds data that has no time value. |
Tabel berikut menunjukkan cara data dikategorikan dan ditampilkan saat menyaring 'Has a value' atau 'Has no value'.
Actual Situation | Categorization for "Has a value" / "Has no value" filter | Display when showing by property value |
key:'value' | Has a value | 'value' |
key:'' | Has no value | Empty string (preset) |
key:null | Has no value | Null object (preset) |
key does not exist | Has no value | Unknown (preset) |