Customer segmentation companies, products & suppliers

Building and activating audience segments, not personalising the page or recommending items. Jobs: cluster segments; predicted audiences; activation to channels.

What is Customer segmentation?

Building and activating audience segments, not personalising the page or recommending items. Jobs: cluster segments; predicted audiences; activation to channels.

What problems does it solve?

Segments still are RFM buckets from 2014.

Typical business use cases

  • Cluster segments
  • Predicted audiences
  • Activation to channels

Important capabilities

  • Taxonomy
  • Activation
  • Refresh

What buyers should evaluate

  • Sensitive attributes
  • Activation destinations
  • Whether it is a lookalike of a protected class

Risks and governance considerations

A segment that is a proxy for a prohibited class.

Procurement checklist

  • Attributes
  • Destinations
  • Refresh

Relevant AI Trustmark assurance

AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.

Methodology · How verification works

Products and providers

Open a product profile for its catalogue details, or use the provider link for the company profile. Claimed listings appear first, then by name. Payment never changes the order.

  • By Adobe

    Adobe Real-Time Customer Data Platform (Real-Time CDP), built on Adobe Experience Platform, brings together known and anonymous data from enterprise sources to create customer prof

  • By Braze

    The Braze Data Platform is a composable data platform for unifying, activating and distributing first-party customer data within Braze. It offers bi-directional data flows through

  • By CleverTap

    Engage your customers like never before with CleverTap’s all-in-one customer engagement platform. From personalized messaging to automated campaigns, CleverTap platform offers a su

  • By Constructor

    The only site search and product discovery built for ecommerce KPIs. Delivering superior experiences with AI, NLP, data and personalization. Constructor AI Commerce Search and Disc

  • By Dynamic Yield

    Dynamic Yield Experience OS is Dynamic Yield's software product, from Dynamic Yield Ltd. Published at dynamicyield.com/platform. Directory filing: Personalisation platforms. Vendor

  • By Hightouch

    Hightouch is the Agentic Marketing Platform powered by the industry-leading Composable CDP: AI marketing that actually knows your brand, customers, and business. Hightouch Customer

  • By Insider One

    Insider One is the #1 Customer Engagement AI Platform for marketing teams. Unify CDP, personalization & journey orchestration to engage customers everywhere. Ltd.). Insider Custome

  • By Klaviyo

    Klaviyo unifies AI-powered email marketing and SMS to drive growth, retention, and measurable results. Build personalised, omnichannel experiences across WhatsApp, ecommerce, and m

  • By MoEngage

    Execute your cross channel marketing strategy with MoEngage’s insights-led customer engagement platform. Leverage the power of personalization with MoEngage. MoEngage Customer Data

  • By Oracle

    Oracle sells database, cloud infrastructure and enterprise applications. Public pages cover OCI, database services and AI features inside business applications. Oracle Fusion Unity

  • By Pega

    The world’s most influential organizations trust Pega to reimagine work - automating workflows, personalizing customer experiences, and modernizing legacy systems. Pega Customer De

  • By Salesforce

    Salesforce sells CRM cloud software with Einstein and Agentforce AI features. Public pages cover sales, service and marketing clouds used by enterprises. Salesforce Data 360 is Sal

  • By Twilio

    Build amazing customer experiences on the Twilio platform with APIs for SMS, RCS, voice, and email, plus conversational AI for smarter engagement, and identity verification for tru

Products

Claimed products appear first. Ranking packs and payment do not change this list.

Also used in this category

These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.

Related categories

Relevant procurement and assurance guides

Frequently asked questions

What is Customer segmentation?

Building and activating audience segments, not personalising the page or recommending items. Jobs: cluster segments; predicted audiences; activation to channels.

What should not be listed as Customer segmentation?

Products whose buyer job is personalisation platforms, recommendation engines, or CRM intelligence. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every Customer segmentation supplier?

No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.

What model or provider changes should a buyer insist on being told about?

Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.

How should buyers verify where AI customer data is processed?

Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.

Does a TrustMark on one product cover the rest of the company?

No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.

What incident-handling evidence is useful for AI suppliers?

Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.

What security testing evidence should buyers request for an AI product?

Ask what was tested, against which version, whether prompt-injection, data-exfiltration and tenant isolation were in scope, and where failed prompts were stored. A generic ISO certificate or a vendor scanner screenshot is not by itself an AI TrustMark assessment.