Personalisation platforms companies, products & suppliers

Experience decisioning across web/app (what block, what message), not an item recommender. Jobs: web personalisation; message targeting; experience tests.

What are Personalisation platforms?

Experience decisioning across web/app (what block, what message), not an item recommender. Jobs: web personalisation; message targeting; experience tests.

What problems does it solve?

Everyone still sees the same homepage.

Typical business use cases

  • Web personalisation
  • Message targeting
  • Experience tests

Important capabilities

  • Decisioning
  • Audiences
  • Holdouts

What buyers should evaluate

  • Holdout
  • Sensitive attributes
  • Explain a variant

Risks and governance considerations

Personalisation that uses protected attributes.

Procurement checklist

  • Attributes used
  • Holdout
  • Explainability

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

Companies and providers

Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.

  • Adobe Firefly is Adobe's family of creative generative AI models integrated into Creative Cloud, with commercial-safety positioning. Public marketing also emphasises creative Cloud

  • Amazon Web Services is Amazon's cloud division selling compute, storage, Bedrock model hosting and related AI infrastructure. Public pages cover regional cloud services for builder

  • Clerk.io publishes Clerk.io as a named AI product. Clerk.io is used for Recommendation engines work. Clerk.io is grouped with Recommendation engines suppliers. Public product pages

  • 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

  • Dynamic Yield publishes Dynamic Yield Experience OS and Dynamic Yield Experience Search as named AI products. Dynamic Yield is used for Personalisation platforms and Recommendation

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

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

  • Execute your cross channel marketing strategy with MoEngage’s insights-led customer engagement platform. MoEngage publishes MoEngage Customer Engagement Platform and MoEngage Custo

  • Monetate is the #1 experience optimization platform designed to help enterprise brands and digital businesses scale KPIs and wow customers. Monetate is used for Personalisation pla

  • Discover Optimove's Positionless Marketing Platform—an AI decisioning engine empowering marketers to execute personalized campaigns independently & at scale. Optimove publishes Opt

  • Oracle sells database, cloud infrastructure and enterprise applications. Public pages cover OCI, database services and AI features inside business applications. Oracle publishes My

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

  • Salesforce sells CRM cloud software with Einstein and Agentforce AI features. Public pages cover sales, service and marketing clouds used by enterprises. Salesforce publishes Agent

  • SAS publishes SAS Data Maker, SAS Intelligent Decisioning, and SAS Model Manager as named AI products. SAS is used for Model governance and Data science platforms work. SAS is reco

  • 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 Personalisation platforms?

Experience decisioning across web/app (what block, what message), not an item recommender. Jobs: web personalisation; message targeting; experience tests.

What should not be listed as Personalisation platforms?

Products whose buyer job is recommendation engines, customer segmentation, or merchandising. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every Personalisation platforms supplier?

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

What are Personalisation platforms?

Experience decisioning across web/app (what block, what message), not an item recommender. Jobs: web personalisation; message targeting; experience tests.

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.