Differences
This shows you the differences between two versions of the page.
| Next revision | Previous revision | ||
| en:dpi:qoe_analytics:cases:subscriber_analytics:clickstream_analytics [2025/10/30 13:18] – created elena.krasnobryzh | en:dpi:qoe_analytics:cases:subscriber_analytics:clickstream_analytics [2025/12/17 07:13] (current) – removed elena.krasnobryzh | ||
|---|---|---|---|
| Line 1: | Line 1: | ||
| - | {{indexmenu_n> | ||
| - | ====== ClickStream analytics ====== | ||
| - | <note important> | ||
| - | |||
| - | ===== 1. Detecting Internet service reselling ===== | ||
| - | DPI exports unique UserAgents sent in HTTP requests. The QoE module aggregates information for each IP (or login, if used). | ||
| - | The statistics record every phone and PC behind subscriber NAT. | ||
| - | Usually, up to 30 unique UserAgents are detected per household — any number higher may indicate reselling the Internet connection to other apartments via the main router. | ||
| - | |||
| - | Steps to find such cases: | ||
| - | - Go to QoE Analytics → Subscribers → ClickStream | ||
| - | - Create a filter (use Shift+Enter to add entries) where: | ||
| - | * Mozilla – identifies PCs | ||
| - | * Dalvik – identifies mobile phones | ||
| - | {{ : | ||
| - | Interpreting the statistics: {{ : | ||
| - | * The filter shows 22 potential clients possibly reselling the service. | ||
| - | * More details about detected devices can be found in the **" | ||
| - | * Using the megaphone icon, you can add them to a __[[en: | ||
| - | * Reports can be exported in a convenient format. | ||
| - | |||
| - | ===== 2. Churn prevention (detecting interest in competitors) ===== | ||
| - | |||
| - | DPI exports ClickStream — all HTTP/HTTPS user requests on the Internet. The QoE module aggregates information per IP (or login, if used). | ||
| - | The statistics include URLs for HTTP and domain names for HTTPS. | ||
| - | |||
| - | Steps to detect interest in competitors: | ||
| - | - Go to QoE Analytics → Subscribers → ClickStream | ||
| - | - Create a filter with competitor websites in your region {{ : | ||
| - | - Or use the “Telecom operators” category {{ : | ||
| - | Interpreting results: | ||
| - | {{ : | ||
| - | * The filter shows 10 potential clients interested in competitors. | ||
| - | * More details can be viewed in the **" | ||
| - | * Using the megaphone icon, you can add them to a __[[en: | ||
| - | * Reports can be exported in a convenient format. | ||
| - | |||
| - | ===== 3. Detecting Smart TV devices ===== | ||
| - | DPI exports unique UserAgents sent in HTTP requests. The QoE module aggregates information per IP (or login, if used). | ||
| - | The statistics include each Smart TV detected behind subscriber NAT. | ||
| - | |||
| - | Steps to detect Smart TVs: | ||
| - | - Go to QoE Analytics → Subscribers → ClickStream | ||
| - | - Create a filter using math and enter a regular expression `(? | ||
| - | * smart | ||
| - | * LG | ||
| - | * samsung | ||
| - | {{ : | ||
| - | |||
| - | Interpreting results: | ||
| - | {{ : | ||
| - | * The filter shows 893 clients with such devices detected. | ||
| - | * More details can be viewed in the **" | ||
| - | * Using the megaphone icon, you can add them to a __[[en: | ||
| - | * Reports can be exported in a convenient format. | ||
| - | |||
| - | ===== 4. Subscriber profiling by interests ===== | ||
| - | ClickStream allows identifying clients’ usage of popular services or interest in certain website categories. | ||
| - | <note important> | ||
| - | |||
| - | ==== OTT services usage ==== | ||
| - | Steps to find: | ||
| - | - Go to QoE Analytics → Subscribers → ClickStream | ||
| - | - Create a **Host filter**, use math and enter the regular expression `(? | ||
| - | * smotreshka | ||
| - | * ivi | ||
| - | * okko | ||
| - | * netflix | ||
| - | |||
| - | ==== Example: segmenting the subscriber base ==== | ||
| - | Steps to find: | ||
| - | - Go to QoE Analytics → Subscribers → ClickStream | ||
| - | - Create a **Host category filter**, use the desired category: | ||
| - | * Auto | ||
| - | * Kids websites, etc. | ||
| - | |||
| - | ==== Example: finding subscribers with high traffic usage ==== | ||
| - | Steps to find: | ||
| - | - Go to QoE Analytics → NetFlow → High traffic top (right side) → Top subscribers | ||
| - | - Sort by traffic volume | ||