# What are interest scores? ### About this export | Field | Value | | --- | --- | | **content_type** | lesson | | **platform** | contentstack-academy | | **source_url** | https://www.contentstack.com/academy/courses/data-insights-core-concepts-capabilities/data-insights-course-2--what-are-interest-scores | | **course_slug** | data-insights-core-concepts-capabilities | | **lesson_slug** | data-insights-course-2--what-are-interest-scores | | **markdown_file_url** | /academy/md/courses/data-insights-core-concepts-capabilities/data-insights-course-2--what-are-interest-scores.md | | **generated_at** | 2026-04-28T06:55:44.004Z | > Part of **[Core Concepts & Capabilities](https://www.contentstack.com/academy/courses/data-insights-core-concepts-capabilities)** on Contentstack Academy. **Academy MD v3** — structured for retrieval; no quiz or assessment keys. #### Video details #### At a glance - **Title:** data-insights__core_concepts__interest-scores - **Duration:** 1m 53s - **Media link:** https://cdn.jwplayer.com/previews/m12ekXvQ - **Publish date (unix):** 1752796812 #### Streaming renditions - application/vnd.apple.mpegurl - audio/mp4 · AAC Audio · 113983 kbps - video/mp4 · 180p · 180p · 177270 kbps - video/mp4 · 270p · 270p · 225027 kbps - video/mp4 · 360p · 360p · 225916 kbps - video/mp4 · 406p · 406p · 248946 kbps - video/mp4 · 540p · 540p · 325756 kbps - video/mp4 · 720p · 720p · 441998 kbps - video/mp4 · 1080p · 1080p · 764356 kbps #### Timed text tracks (delivery) - **thumbnails:** `https://cdn.jwplayer.com/strips/m12ekXvQ-120.vtt` #### Transcript If behavioral signals, as covered in the previous module, represent one side of the coin, understanding interest levels in content and products is the other. This is where Lytics interest scores come into play. The process begins automatically. Based on your account's configuration, Lytics' classification service proactively analyzes content and products across your site, using natural language processing and image analysis. As a result, we'll build a rich taxonomy for each piece of content, a set of topics that describe the content. Each topic within the taxonomy helps identify precisely what exactly is driving that customer's interest. As customers engage with your content, such as reading a product description, Lytics tracks their interactions and builds a set of scores representing their relative interest in the topics associated with that content. This means you'll gain immediate insights into what each customer is interested in and the extent of that interest, and those insights are represented by topic-level scores available on each customer profile. The best part – this process is fully automated. As customers interact with your site, their interest scores are continually updated to reflect their most recent behaviors, without any additional effort from you. These insights help drive content strategies, personalize ad creative for specific interest cohorts, and enhance engagement with intelligent content recommendations, delivering exactly what each user wants when they want it. #### Subtitles (WebVTT) ```webvtt WEBVTT 1 00:00:00.000 --> 00:00:22.540 If behavioral signals, as covered in the previous module, represent one side of the coin, understanding 2 00:00:22.540 --> 00:00:26.160 interest levels in content and products is the other. 3 00:00:26.160 --> 00:00:29.280 This is where Lytics interest scores come into play. 4 00:00:29.280 --> 00:00:31.960 The process begins automatically. 5 00:00:31.960 --> 00:00:36.520 Based on your account's configuration, Lytics' classification service proactively analyzes 6 00:00:36.520 --> 00:00:42.480 content and products across your site, using natural language processing and image analysis. 7 00:00:42.480 --> 00:00:47.080 As a result, we'll build a rich taxonomy for each piece of content, a set of topics 8 00:00:47.080 --> 00:00:49.200 that describe the content. 9 00:00:49.200 --> 00:00:54.320 Each topic within the taxonomy helps identify precisely what exactly is driving that customer's 10 00:00:54.320 --> 00:00:55.480 interest. 11 00:00:55.480 --> 00:01:00.220 As customers engage with your content, such as reading a product description, Lytics tracks 12 00:01:00.220 --> 00:01:04.440 their interactions and builds a set of scores representing their relative interest in the 13 00:01:04.440 --> 00:01:07.440 topics associated with that content. 14 00:01:07.440 --> 00:01:11.360 This means you'll gain immediate insights into what each customer is interested in and 15 00:01:11.360 --> 00:01:16.780 the extent of that interest, and those insights are represented by topic-level scores available 16 00:01:16.780 --> 00:01:19.200 on each customer profile. 17 00:01:19.200 --> 00:01:22.600 The best part – this process is fully automated. 18 00:01:22.600 --> 00:01:26.960 As customers interact with your site, their interest scores are continually updated to 19 00:01:26.960 --> 00:01:32.200 reflect their most recent behaviors, without any additional effort from you. 20 00:01:32.200 --> 00:01:37.120 These insights help drive content strategies, personalize ad creative for specific interest 21 00:01:37.120 --> 00:01:42.400 cohorts, and enhance engagement with intelligent content recommendations, delivering exactly 22 00:01:42.400 --> 00:01:44.240 what each user wants when they want it. ``` ```transcript [00:00] If behavioral signals, as covered in the previous module, represent one side of the coin, understanding [00:22] interest levels in content and products is the other. [00:26] This is where Lytics interest scores come into play. [00:29] The process begins automatically. [00:31] Based on your account's configuration, Lytics' classification service proactively analyzes [00:36] content and products across your site, using natural language processing and image analysis. [00:42] As a result, we'll build a rich taxonomy for each piece of content, a set of topics [00:47] that describe the content. [00:49] Each topic within the taxonomy helps identify precisely what exactly is driving that customer's [00:54] interest. [00:55] As customers engage with your content, such as reading a product description, Lytics tracks [01:00] their interactions and builds a set of scores representing their relative interest in the [01:04] topics associated with that content. [01:07] This means you'll gain immediate insights into what each customer is interested in and [01:11] the extent of that interest, and those insights are represented by topic-level scores available [01:16] on each customer profile. [01:19] The best part – this process is fully automated. [01:22] As customers interact with your site, their interest scores are continually updated to [01:26] reflect their most recent behaviors, without any additional effort from you. [01:32] These insights help drive content strategies, personalize ad creative for specific interest [01:37] cohorts, and enhance engagement with intelligent content recommendations, delivering exactly [01:42] what each user wants when they want it. ``` #### Key takeaways - Connect **What are interest scores?** back to your stack configuration before moving to the next module. - Capture one concrete artifact (screenshot, Postman call, or code snippet) that proves the step works in your environment. - Re-read the delivery versus management boundary for anything you changed in the entry model. ## Supplement for indexing ### Content summary What are interest scores?. What are interest scores? in Core Concepts & Capabilities (data-insights-core-concepts-capabilities). ### Retrieval tags - What - are - interest - scores - data-insights-core-concepts-capabilities - lesson 05 - What are interest scores? - data-insights-core-concepts-capabilities lesson ### Indexing notes Index this lesson as a primary chunk tagged with lesson_id "05" and topics: [What, are, interest, scores]. Parent course slug: data-insights-core-concepts-capabilities. Use asset_references URLs as thumbnail hints in search results when present. Never surface LMS quiz content or assessment answers from this file. ### Asset references | Label | URL | | --- | --- | | Video thumbnail: What are interest scores? | `https://cdn.jwplayer.com/v2/media/m12ekXvQ/poster.jpg?width=720` | ### External links | Label | URL | | --- | --- | | Contentstack Academy home | `https://www.contentstack.com/academy/` | | Training instance setup | `https://www.contentstack.com/academy/training-instance` | | Academy playground (GitHub) | `https://github.com/contentstack/contentstack-academy-playground` | | Contentstack documentation | `https://www.contentstack.com/docs/` |