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Quick Tracking:Ikhtisar Analisis

Last Updated:Feb 11, 2026

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)