Ability to segment, or target audiences based on criteria you set (e.g. URL, cookies, IP address, custom javascript, traffic source, device, browser, language, ad campaign, geo-targeting, time of day) and enable tests to run for specific visitor segments.
Cat avg: 8.2
Ability to optimize user experience for individual site visitors based on certain characteristics and past actions (e.g. past purchases, geolocation, demographics, device type, referral source, etc..). An example of this is product and/or content recommendations based on visitor characteristics.
Cat avg: 9
Refers to the overall quality and tracking of cross-channel event data linked to actions taken by specific user accounts.
Cat avg: 7.4
The ability to collect, validate, standardize, and map customer data from first or third-party sources.
Cat avg: 7.4
Includes bulk or automated data cleansing, appending missing data from contact lists and inbound leads, and the ability to process data with an optimized number of fields.
Cat avg: 6.5
The ability to visualize usage and account data, including funnel and pipeline and front and back-end visibility.
Cat avg: 7.8
The software allows users to create and implement custom tags when a certain tag is not among the available templates.
Cat avg: 7.8
Features related to tag management
The software natively supports a variety of vendors, including the most important or common ones such as Google and Adobe.
Category average: 8.1
The software allows users to create and implement custom tags when a certain tag is not among the available templates.
Category average: 7.8
The software allows for flexible tag firing based on multi-part load rules, as well as tag sequencing and dependencies.
Category average: 8.1
The software tracks things like tag load time, blocking tags, uptime / response time, and tag killing, and sends alerts.
Category average: 7.2
The tag management software has helped improve page load speeds.
Category average: 8.1
The software can manage tags for mobile apps as well as websites.
Category average: 7.6
A set of tools used for website optimization experiments (e.g. A/B, A/B/n, funnel, split URL, multivariate tests) that can help users segment their audience in to different groups for the purpose of exposing specific audiences to tests or personalization efforts.
Ability to segment, or target audiences based on criteria you set (e.g. URL, cookies, IP address, custom javascript, traffic source, device, browser, language, ad campaign, geo-targeting, time of day) and enable tests to run for specific visitor segments.
Category average: 8.2
Ability to segment, or target audiences based on whether or not they have performed certain actions, such as clicking on a CTA, and enable tests to run for specific visitor segments.
Category average: 8.1
Ability to optimize user experience for individual site visitors based on certain characteristics and past actions (e.g. past purchases, geolocation, demographics, device type, referral source, etc..). An example of this is product and/or content recommendations based on visitor characteristics.
Category average: 9
Allows customer data platforms (CDPs) to function as a central hub and single source of truth for customer data.
This may include scoring for leads, customer accounts, buying intent, and personas.
Category average: 7.9
Includes consent management to comply with GDPR and data privacy standards as well as protect PII information.
Category average: 8.5
Functionality that enables users to forward or syndicate data to other platforms or systems and connect to internal or external services using APIs.
Category average: 6.5
Includes bulk or automated data cleansing, appending missing data from contact lists and inbound leads, and the ability to process data with an optimized number of fields.
Category average: 6.5
The ability to collect, validate, standardize, and map customer data from first or third-party sources.
Category average: 7.4
Data consolidation and warehousing capabilities.
Category average: 5.7
The ability to visualize usage and account data, including funnel and pipeline and front and back-end visibility.
Category average: 7.8
Refers to the overall quality and tracking of cross-channel event data linked to actions taken by specific user accounts.
Category average: 7.4
Leverages centralized data flow to identify and sync leads, prospects, and customer accounts and deduplicate user information while addressing issues such as third-party cookie deprecation.
Category average: 8.2
This may include scoring for leads, customer accounts, buying intent, and personas.
Includes consent management to comply with GDPR and data privacy standards as well as protect PII information.
Functionality that enables users to forward or syndicate data to other platforms or systems and connect to internal or external services using APIs.
Includes bulk or automated data cleansing, appending missing data from contact lists and inbound leads, and the ability to process data with an optimized number of fields.
The ability to collect, validate, standardize, and map customer data from first or third-party sources.
Data consolidation and warehousing capabilities.
The ability to visualize usage and account data, including funnel and pipeline and front and back-end visibility.
Refers to the overall quality and tracking of cross-channel event data linked to actions taken by specific user accounts.
Leverages centralized data flow to identify and sync leads, prospects, and customer accounts and deduplicate user information while addressing issues such as third-party cookie deprecation.
Ability to segment, or target audiences based on criteria you set (e.g. URL, cookies, IP address, custom javascript, traffic source, device, browser, language, ad campaign, geo-targeting, time of day) and enable tests to run for specific visitor segments.
Ability to segment, or target audiences based on whether or not they have performed certain actions, such as clicking on a CTA, and enable tests to run for specific visitor segments.
Ability to optimize user experience for individual site visitors based on certain characteristics and past actions (e.g. past purchases, geolocation, demographics, device type, referral source, etc..). An example of this is product and/or content recommendations based on visitor characteristics.
The software natively supports a variety of vendors, including the most important or common ones such as Google and Adobe.
The software allows users to create and implement custom tags when a certain tag is not among the available templates.
The software allows for flexible tag firing based on multi-part load rules, as well as tag sequencing and dependencies.
The software tracks things like tag load time, blocking tags, uptime / response time, and tag killing, and sends alerts.
The tag management software has helped improve page load speeds.
The software can manage tags for mobile apps as well as websites.
Provides custom tagging capabilities through parameters.
Offers support for synchronous tagging.
Offers support for asynchronous tagging.
Auto-detecting of tags from code snippets.
