LogoLogo
PlatformsPricingRessources
  • Home
  • Onboarding
  • User documentation
  • Release Notes
  • Help Center
  • User documentation
  • Dashboard
    • Global Experience Dashboard discovery
    • How to filter the Global Experience Dashboard
    • How to customize your Global Experience Dashboard
    • Uplift card
  • Web Experimentation and Personalization
    • Campaign creation and dashboard
      • Types of campaigns
        • Choosing the right type of campaign with Ally, our assistant
      • How to create a campaign
        • Experimentations
          • How to create an A/B Test
          • How to create a Multipage Test
          • How to create a Split Test/Test by Redirection
          • How to create an A/A Test
          • How to create a Patch / Multipage Patch
          • How to create a Multivariate Test
        • Personalizations
          • How to create a Multi-Experience Personalization
          • How to create a Multipage Personalization
          • How to create a Simple Personalization
      • Campaign duplication
        • How to duplicate a campaign
      • How to set-up Main Information step
      • Understanding campaign duration
      • Campaign loading (deferred/ instant)
      • The "Comment" section of the campaign creation flow
      • Campaign statuses
      • How to exclude IP addresses from your campaigns
      • How to use MDE Calculator
      • Campaigns Dashboard
      • Campaign Scheduler
      • Mutually Exclusive Experiments
      • How to use Campaign Prioritization
        • Prioritization of Personalizations
    • Editors and Widget
      • How to create and edit content in the visual editor
      • How to use our Visual Editor - Interactive demo
      • Discovering the Visual Editor
      • Visual editor - History and review of modifications
      • Code Editor
      • Using the Editor Copilot
      • Prompt Inspiration library for Visual Editor Copilot
      • How to create an Action Tracker in the editor
      • How to use redirection option
      • How to create trackers in the editor
      • Widgets
        • Widgets configuration in the visual editor
        • AB Tasty prebuilt Widgets
          • Action Button Widget
          • Banner Widget
          • Before-After Image Widget
          • CSAT Widget
          • Celebrate Widget
          • Countdown widget
          • Drawer Widget
          • Dwell Time Tracking Widget
          • Element Visible Tracking Widget
          • Iframe Click Tracking Widget
          • IFrame Widget
          • Image Pop-in Widget
          • NPSÂŽ (Net Promoter Score) Widget
          • Progress Bar Widget
          • Scratch card Widget
          • Scroll Rate Tracking Widget
          • Search & Replace Widget
          • Simple Popin Widget
          • Snowflake Animation Widget
          • Social proof Widget
          • Social Sharing Widget
          • Spotlight Widget
          • Sticky Element Widget
          • Tooltip Widget
          • Video Pop-in Widget
          • Virtual Click Widget
        • Custom widget
          • Custom Widgets: List of propname Fields and Their Specificities
          • Custom widgets: Global usage and information
        • Custom code widget
      • Chrome extension
      • Shadow DOMs & iFrames
        • Understanding Shadow DOM
        • How to edit Shadow DOM in the visual editor
        • Understanding iframes
        • How to edit Iframes in the visual editor
    • Goals step
    • Targeting step
      • How to set up a campaign Targeting
      • How to create a Segment (Who section)
        • Segments Recommendations
        • Inspiration with Engagement Level segmentation
      • How to define Targeted Pages (Where section)
      • How to create a Trigger (How section)
        • Geolocation criterion
        • Device criterion
        • Screen size criterion
        • IP address criterion
        • Weather criterion
        • Landing Page criterion
        • Source & source type criterion
        • Previous Page criterion
        • URL Parameter criterion
        • Minimum Pages viewed criterion
        • Visited Pages criterion
        • Same day visit criterion
        • Browser language criterion
        • Browser criterion
        • Adblocker criterion
        • JS Variable criterion
        • Code-based criterion
        • CSS Selector criterion
        • DataLayer criterion
        • Visitor attributes criterion
      • How to define a Targeting Frequency (When section)
      • How to set-up targeting verifications
      • How to use the replicate targeting option
      • How to use URL operators to build URL patterns
    • Traffic allocation step
      • Campaign flow: Traffic Allocation step
      • Dynamic allocation
      • Even allocation
    • Advanced Options step
      • Sequential Testing Alerts
    • QA step
      • QA Mode & QA Assistant
        • How to use the QA mode
        • How to use the QA Assistant on desktop
        • How to use the QA Assistant on mobile
      • How to use the browser console to QA a campaign
  • Feature Experimentation & Roll-Out
    • How to create server-side A/B tests
    • How to create feature toggles and manage rollouts
    • How to create server-side personalization
    • FE&R Glossary
    • Managing Flags
    • Managing Context Keys
  • Recommendations & Merchandising
    • Recommendations
      • Web recommendation
        • Most popular recommendation filters
        • Variables by placement
        • Placement
        • Products groups
        • Filters
        • Exceptions
        • Options
      • Recommendation Banner
        • Recommendation banner with tag and custom JS
          • Adding Recos Tag to a website
          • Enriching Recommendations Banner HTML to send events to DataLayer through Recos Tag
          • Setting up GTM to send Recos Datalayer Events
          • Connect Tag Assistant from GTM
          • Check that the events arrive correctly in GA
          • Check the display of recommendations
          • Retrieving recos products from a RECO_ID with Recos Tag
        • Deploying a Recommendations Banner Custom Widget
        • Retrieving a Recommendation RECO_ID
        • How to push recommendations with Adobe Campaign
        • How to build recommendations (recommendation builder variant)
      • Mail recommendations
        • How to push recommendations into your Brevo emails
        • Brevo Feed
        • Products groups
        • Filters
        • Products highlights
        • Exceptions
        • Options
        • Parameters
        • Preview
        • Most popular recommendation filters
    • Merchandising
      • Introduction
      • Category
      • Products groups
      • Filters
      • Products highlights
      • Exceptions
      • Result to refine
      • How to deploy a merchandised product list through Algolia
    • Recos & Merch analytics
      • How to track performances
      • Recos Analytics Event format
      • The impact of BigQuery exports in terms of cost
      • Setup analytics retrieve events with Recos Tag
      • Key indicators over the period & Segment
      • Overview data
      • Evolution metrics
    • Recos & Merch API
      • Getting a product list
      • Accessing Recos API (endpoint)
      • Accessing Recommendations API (only specific accounts)
    • Recos & Merch account management
      • How to manage users in Recommandation & Merchandising module
      • How to manage roles
      • How to manage synchronisations
      • How to manage invoices
    • Security and GDPR
      • Procedure for Reporting Personal Data Breaches
      • Backup Policy
      • Security Configuration of Our Servers
      • PSSI
    • Recos & Merch Algorythms
      • How to manage algorithms
      • How to create your algorithms
      • Better understanding
      • Default algorithms
      • Data used to train Algorithms
    • Recos & Merch integrations
      • Integrations with Recos & Merch
      • Brevo Integration
      • Analytic integrations
        • Google Analytics integration
        • Matomo integration
        • Random data integration
      • Recos & Merch CMS integration
        • PrestaShop integration
        • Shopify Integration
        • Custom integration
  • Emotions AI
    • Understand EmotionsAI
      • EmotionsAI in a nutshell
      • Leverage EmotionsAI to get more value from A/B tests
      • Leverage EmotionsAI to get high-potential A/B test ideas
    • First steps with EmotionsAI
      • Onboarding
      • EmotionsAI functioning
      • Navigating the interface
      • FAQ about EmotionsAI
    • Using EmotionsAI
      • How to activate EmotionsAI features
      • EmotionsAI Website Mapping configuration
      • EmotionsAI Journey Analysis
      • EmotionsAI Page Analysis
      • Target EmotionsAI segments
      • QA a campaign on Desktop with EmotionsAI Chrome Extension
      • Use EmotionsAI targeting on hard-coded personalizations
      • Usage of EmotionsAI in some Push integrations
    • Read EmotionsAI campaigns’ report
  • Library
    • How to set-up your libraries
    • Widget library
      • Creating and managing Widgets
      • How to create a preset Widget
      • How to create a Custom Widget
        • How to configure Custom Widgets Custom Forms
      • How to declare your Widget Theme
    • Assets Library
    • Trackers library
      • Action Trackers
        • How to create and manage Action Trackers
      • How to create a Custom Tracker with custom JavaScript code
      • How to create a Custom Tracker via the DataLayer
    • Creating and managing Segments
      • List of Segment criteria
        • CSAT criterion (Customer Satisfaction)
        • NPSÂŽ criterion (Customer Satisfaction)
        • Engagement Level criterion
        • EmotionsAI criterion
        • Content Interest criterion
        • Page interest criterion
        • Device criterion
        • Cookie criterion
        • New/Returning visitors criterion
        • Campaign Exposure criterion
        • Number of sessions criterion
        • Day(s) Since Last Session criterion
        • Day(s) Since First Session criterion
        • Action Tracker criterion
        • Cart Abandonment criterion
        • Last Purchase criterion
        • Purchase Frequency criterion
        • Geolocation criterion
        • DMP, CDP, rd party tool criterion
      • Segments Library - Metrics
    • Creating and managing Triggers
      • List of Trigger criteria
    • Creating and managing Saved Pages
  • Integrations
    • Integrations general information
    • Push integrations
      • Adobe Analytics
      • Air
      • Amplitude (analytics browser)
      • Amplitude
      • AT Internet Smart Tag
      • Contentsquare
      • Google Analytics (Audience creation)
      • Google Analytics (UA)
      • Google Analytics (event only)
      • FullStory
      • Heap Analytics
      • Hubspot
      • Matomo
      • Mixpanel
      • Piano Analytics
      • SalesForce Marketing Cloud (Push)
      • Segment
      • Tealium
    • Pull integrations
      • Air
      • Commander Act
      • EmotionsAI
      • Fullstory
      • Google Analytics
      • Heap Analytics
      • Mixpanel
      • mParticle
      • Piano Analytics (Pull)
      • SalesForce Marketing Cloud (Pull)
      • Segment
      • Tealium : Import Audiences
      • Weborama
    • Other integrations
      • Productivity
        • Microsoft Dynamics Commerce
        • Setting up Microsoft Clarity Integration with AB Tasty
        • Didomi
        • How to Set Up the AB Tasty Connector with Notion
        • How to connect AB Tasty to Google Sheets
        • Connect your Slack Workspace to AB Tasty
      • Data Warehouse
        • Data Warehouse integrations: General information
        • Big Query - Daily exports from AB Tasty to Big Query
        • Snowflake - Daily exports from AB Tasty to Snowflake
        • Redshift - Daily exports from AB Tasty to Redshift
    • Custom integrations
      • Universal Data Connector
      • Custom Integration Connector with a rd party tool (Push data)
      • AB Tasty public API
  • Reporting & Performances
    • Data Explorer
      • How to analyze page traffic via Data Explorer
      • How to get metrics breakdown by multiple dimensions via Data Explorer
      • How to get a list of recent hits via Data Explorer
      • Data Explorer - List of Metrics and Dimensions
    • ROI dashboard
    • Performance Center
      • List of Performance Guidelines
    • Reporting
      • Campaign reporting
        • Reporting Copilot
        • Analysis Copilot
      • Data & reports: generalities and definitions
      • AB Tasty reports Metrics
        • Live hits of the reporting
        • Metrics based on tracking widgets
        • Navigation metrics
        • Metrics based on pageviews
        • Metrics based on clicks
        • Metrics based on transactions
      • Reporting Filters
        • General Reporting filters
        • EmotionsAI Reporting filter templates
      • Using the NPS®️ report
        • How does Feedback Analysis Copilot work
      • Sample ratio mismatch
      • Refresh reporting data using Refresh On Demand
      • Data export from the reporting
      • Frequentist Analysis mode
      • Understand the statistics behind your Reports
        • Statistics for the reporting
        • Statistical metrics
        • Avoiding Pitfalls in AOV Analysis for Conversion Rate optimization
        • Conversion mechanisms & concepts
        • Reporting Readiness
  • Account
    • Tag integration
      • All About Tags
      • How to implement the Generic Tag
        • AB Tasty hosted tag implementation
        • Tag Domain Delegation
          • Tag domain delegation implementation
      • How-to QA the Generic Tag
      • How to implement the Generic Tag via Google Tag Manager
      • How-to join the Next tag program
      • AB Tasty integration with Shopify
        • Understanding Shopify App features
        • How to implement the AB Tasty tag via Shopify
        • How to set-up Shopify Custom Pixel App
      • AB Tasty tag compilation
      • How the AB Tasty tag is designed to handle Single Page Apps (SPA)
    • Technical implementation
      • How to choose your cookies deposit method
      • How to declare my Account Domain?
      • JavaScript in AB Tasty
        • How to configure JavaScript
        • Javascript files execution
        • Campaign JavaScript Execution
      • How to configure jQuery loading
      • How to integrate Product hits
      • Product Hits integration principles
        • How to set-up segment criteria "Content Interest" and "Cart Abandonment"
    • Transaction Tag integration
      • How to implement the Transaction tag
      • How to create a Transaction Tracker via DataLayer
      • How to use the Transaction Tag Generator
      • How to QA the Transaction tag
    • Performance and security
      • How to manage visitor identity
      • How to deactivate AB Tasty
      • Consent policy - cookies, storage and privacy
    • Account management
      • The organization page
      • Subscription page
      • How to manage users?
Powered by GitBook
LogoLogo

AB Tasty Website

  • Home page AB Tasty
  • Blog
  • Sample size calculator
  • Release note

AB Tasty Plateform

  • Login

Š Copyright 2025 AB Tasty, Inc, All rights reserved

On this page
  • 📖 Definition
  • 🤖 How is the “interest” calculated?
  • 🥇 Which keywords are selected?
  • 🔎 How does it work?
  • ⚙️ Configuration
  • 💡 Use case

Was this helpful?

Edit on GitLab
Export as PDF
  1. Library
  2. Creating and managing Segments
  3. List of Segment criteria

Content Interest criterion

PreviousEmotionsAI criterionNextPage interest criterion

Last updated 9 days ago

Was this helpful?

Content Interest criterion is a segmentation criterion that enables defining a .

To learn how to create a segment, please refer to this .

Be careful! This segment criterion is not in real time. The identification of interests keywords is made every week.

📖 Definition

Using the Content Interest segment criterion in the targeting of your campaign enables you to restrict its visibility to visitors based on their interest in certain products or services featured on your website. The more pages your users visit, the more likely they will be recognized as appetent to a type of product or service.

AB Tasty uses NLP (Natural Language Processing) and keyword matching to capture visitor browsing interests based on visited pages and many other metrics. The service is based on page titles and recognized keywords within this element. It’s important to verify that your page titles are well configured and represent your product categories and pages before relying entirely on this criterion.

☀️ Good to know

Content Interest is compatible only with languages having spaces between words, thus Content Interest will not work with Japanese, Mandarin, Cantonese , Arabic, etc.

🤖 How is the “interest” calculated?

The interest is calculated from a page title keyword’s number of occurrences we find during a visitor navigation. Every day, we calculate how many keyword occurrences we can find for each visitor specific navigation. From that, we determine interest by taking for each keyword the top 20 . This is fine tuned for each of our customers with an AI service to offer you the best fit!

Once we have calculated the minimum number of views that are required to be “interested”, we calculate the share of visitors that reached this minimum threshold to be considered interested in a specific keyword.

Let’s take an example. Imagine the word “pantalon”. We will count the number of views (in the page title) for this word:

visitor_1: 0

visitor_2: 1

visitor_3: 1

visitor_4: 1

visitor_5: 2

visitor_6: 2

visitor_7: 2

visitor_8: 3

visitor_9: 3

visitor_10: 4

Statistically, the top 20 percentile in that example is 3. We will now consider that a visitor needs to see the word 3 times in his navigation to be considered interested. Finally, we will be able to calculate the audience by taking all the visitors that have reached this number of views.

🥇 Which keywords are selected?

We train algorithms and use Natural Language Processing (NLP) to detect the most valuable keywords within the page titles. Our service detects in priority what we call “items” (products, brands, services, etc.). It does after that a second treatment to detect the “attributes” (colors, adjectives, etc.). We developed this service to remove keywords that do not match a specific interest to your business.

🔎 How does it work?

Within the tag, we created an object called “ABTastyData”, that contains information about your visitors journey. Inside this object, we store visited pages data in a location called “VisitedPages”. This is performed every time a user loads a new page. The following information are stored:

  • Current page URL

  • Current page title

  • Current session number (from the “ns” variable of the “ABTasty” cookie)

  • Current timestamp

For the Content Interest calculation, our data services are using this “page title” information stored in our global object. As mentioned above, AB Tasty then calculates a number of data associated with each keyword to offer you this service. It can also be enriched with the Product Hits integration.

⚙️ Configuration

To use this criterion inside the targeting, simply drag and drop the “Content Interest” label inside the middle column of the segment builder. Once it is done, apply the following steps to start discovering which kind of interests (called “keywords”) we suggest you to use in your experimentation strategy:

  • Select a period from the first drop-down list:

    • Over the past week (selected by default) or

    • Over the past two weeks.

  • Click “See results” to unveil the keyword results we have aggregated on your website

  • A table is then displayed with every result AB Tasty suggests you to create new audiences on

  • Each keyword can be associated with 4 main KPIs:

    • Traffic share

    • Number of views

    • Transaction rate of the audience interested by each keywords (that reflect a specific interest on your website)

    • Number of transactions of this audience

  • Select one or multiple keywords by clicking on the radio button on the left of each keyword

To be able to display metrics associated with the content interest, you need to integrate what we call the Product Hits. It’s a specific integration that you can proceed with, that helps us receive from you a precise number of product views, and associate those views with transactions on the same product references (through the matching of product name or SKU, with data from our transaction tag collection). These data will help you decide which audience to target according to your business objectives.

If a keyword does not interest you for any experimentation campaign.

☀️ Good to know

When you select multiple keywords inside the same segment to create an audience gathering multiple types of interested visitors, data displayed within the selection zone still correspond to one specific keyword. Indeed, the metrics do not add to one another, because some visitors could belong to multiple groups of interest at the same time.

Let’s review a basic example:

A keywords X has a traffic share of 5%

A keyword Y has a traffic share of 3%

→ The audience created with the keywords X + Y will not necessarily represent a traffic share of 8%

We advise you to be careful with the interpretation of those data 😇

💡 Use case

You’ll find below some examples of configuration to get some inspiration. As it focuses mainly on categories and product related keywords, you can imagine all kinds of product recommendations, discounts, and displays according to the keywords you choose in your targeting.

TARGETING GOAL

Visitors interested in Booties or Boots.

CRITERION CONFIGURATION

Over the: Past 2 weeks

The visitor is interested in: Booties or Boots

MARKETING STRATEGY

Display a 20% off coupon code for boots or booties.

TARGETING GOAL

Visitors interested in trips to Spain.

CRITERION CONFIGURATION

Over the: Past week

The visitor is interested in: Spain

MARKETING STRATEGY

Display a modal to download the brochure related to the destination of interest.

TARGETING GOAL

Visitors interested in Bikes.

CRITERION CONFIGURATION

Over the: Past week

The visitor is interested in: Bikes

At least: 3 times

MARKETING STRATEGY

Display a “You may also like” section with bicycle related products such as wheels, inner tubes, seats and so on.

segment
article
percentile