Before we dip our feet into the nitty-gritties of each platform, let’s look at all of them at a glance

1. Fibr
   
   

Via Fibr

Fibr is an AI-powered CRO and personalization platform that treats your website like a self-optimizing growth machine.

It bundles three core AI agents into one product: Liv for personalization, Max for experimentation, and Aya for performance monitoring. Together, they automate a lot of the manual work that usually sits with growth, product, and dev teams.

Via Fibr

Where Dynamic Yield comes at personalization from a classic enterprise suite angle, Fibr comes at it from the modern-CRO-stack-in-a-box angle. You still get the familiar pillars of a Dynamic Yield style platform, such as audience targeting, dynamic content, and robust testing. 

The difference is that Fibr is heavily biased toward fast landing-page execution, ad-to-page consistency, and marketer-friendly workflows, which matters a lot if your main headaches are CAC, paid media efficiency, and slow test cycles. 

Under the hood, Fibr supports 1:1 personalized landing pages, audience-based personalization, and always-on A/B testing with a visual, no-code editor. It plugs into tools like Google Ads, Meta, GA4, Google Tag Manager and more. Enterprise plans add on CRM and CDP integrations, unlimited domains and traffic, plus strong security and compliance, which is the territory Dynamic Yield typically plays in as well. 

Standout features that rival Dynamic Yield

• AI agent workforce: Liv personalizes on-site and ad-driven journeys, Max sets up and runs experiments, and Aya monitors site health and performance around the clock

• True no-code visual editor for web and landing pages: You can edit text, CTAs, images, video, and UI elements directly on the page with a WYSIWYG editor, including separate desktop and mobile views

• Ad-to-landing page alignment at scale: Fibr connects to Google Ads and Meta, so you can personalize landing pages for each campaign, ad group, or even keyword

• 1:1 and audience-level personalization: You can personalize based on attributes such as location, device, behavior, traffic source, and intent, or go all the way to 1:1 smart pages for key segments and accounts. 

• Bulk creation for large campaigns and ABM: Fibr can generate thousands of personalized landing page variants using bulk workflows and even Excel-based inputs

• Always-on experimentation engine: Max automates A/B tests, handles traffic allocation, supports geo and device-specific experiments, and reports on multiple goals so you can optimize beyond a single conversion metric

• Deep integrations with your stack: Out-of-the-box integrations include GA4, Google Tag Manager, Google Ads, Meta Ads, Hotjar, Clearbit, and Segment, plus custom CRM and CDP integrations at the enterprise tier

• Enterprise-grade security and governance: SOC 2, ISO 27001, GDPR, CCPA and related certifications, along with SSO and private instances for larger customers

Pros of Fibr

• The no-code editor, AI agents, and bulk personalization workflows mean less dependency on engineering and design

• Fibr shines when you care a lot about aligning ad copy with landing pages and squeezing more out of existing traffic

• Fibr’s agents proactively suggest hypotheses, spin up experiments, and monitor site performance, which is attractive for lean teams

Cons of Fibr

• Dynamic Yield and other big-suite players may still cover more omnichannel touchpoints out of the box

• The initial setup and advanced integrations, especially with custom CDPs, can take some coordination with Fibr’s team.

Fibr pricing

• 30-day free trial: Unlimited 30-day trial on the Starter plan

• Paid Fibr AI suite: A standard edition listed around $479 per month for the full AI CRO platform, with enterprise and agency style plans on top.

• Usage based variables: Pricing is customized based on the number of seats, creatives, workflows, AI credits, and page visits, so larger teams and high-traffic sites will sit at the higher end of the range.
  
  

2. Optimizely
   
   

Via Optimizely

Optimizely is best known as an experimentation powerhouse that has grown into a broader digital experience platform. It combines A/B and multivariate testing, feature flagging, personalization and content management.

Compared with Dynamic Yield, Optimizely comes from the testing side of the world rather than pure personalization. Dynamic Yield leans harder into out-of-the-box recommendation widgets and templates across channels. 

Optimizely is often chosen by companies that treat experimentation as a core discipline and want tight control over how tests are run, analyzed and rolled out, including on single-page apps and server-side flows. I

You will usually see Optimizely in organizations with established product, growth or experimentation teams, where it acts as the “engine” behind their testing roadmap and personalization strategy, while Dynamic Yield sometimes comes in as a more prescriptive suite. 

Standout features that rival Dynamic Yield

• Mature web and feature experimentation stack: Supports A/B and multivariate tests on web, feature flags and rollouts for apps, and experimentation throughout the product lifecycle, not just on landing pages

• Personalization engine for 1 to 1 and segment experiences: Lets you build audiences, trigger real time experiences and tailor content for different segments or individuals

• Part of a full digital experience platform: Sits next to Optimizely’s CMS, commerce and content marketing modules, so teams that want an integrated DXP can manage, run and test changes in one ecosystem

• Support for complex front ends and dynamic sites: Documentation and product features handle SPAs and dynamic content with specific patterns for triggering experiments when the DOM changes or routes are updated.

• Enterprise governance and integrations: Role-based workflows, enterprise security posture and integrations into analytics and data tools make it viable in larger organizations that already have a mature data stack

Pros of Optimizely

• Well suited for teams that want to run a lot of tests across web and applications with control over targeting, traffic allocation and statistics

• If a company wants experimentation plus CMS and other digital experience components from one vendor, Optimizely’s broader platform can align with that roadmap

• Support for SPAs, server side testing and feature flags makes it usable for more technical experimentation setups

Cons of Optimizely

• Pricing is not published, and independent breakdowns cite starting points around $36,000 USD per year for smaller plans

• Several users report that initial setup can be complex and may rely on partner agencies,

Optimizely pricing

Optimizely does not publish list prices. You request pricing, and quotes are tailored to traffic volume, products in scope and contract length

3. Emarsys
   
   

Via SAP Emarsys

Emarsys, now part of SAP, is a customer engagement platform built for B2C, DTC and ecommerce brands that want to coordinate marketing across channels like email, SMS, mobile, web and paid media. 

Rather than focusing on on-site testing and UX variations, it focuses on unifying customer data, automating journeys and sending personalized campaigns at scale

Where Dynamic Yield usually enters as a web and app personalization engine with some broader use cases, Emarsys positions itself as an omnichannel marketing automation hub. It picks up customer data from e-commerce, CRM and POS systems, builds segments with AI and then orchestrates campaigns and lifecycle programs across all the touchpoints marketers care about.

For teams comparing it to Dynamic Yield, the decision is often about scope. Dynamic Yield is commonly shortlisted to optimize on-site experiences and recommendations, while Emarsys is considered when email, SMS, loyalty and cross-channel orchestration are the center of the strategy. 

Standout features that rival Dynamic Yield

• Unified, omnichannel customer engagement: Pulls together operational and customer data and lets marketers run campaigns across email, web, mobile, SMS, ads and more from a single platform

• AI-powered personalization and insights: Uses AI to drive segmentation, recommendations and analytics so campaigns can be targeted based on behavior, lifecycle stage and predicted value, not just static lists

• Prebuilt journeys and tactics for ecommerce: Includes out-of-the-box programs like abandoned cart recovery, post purchase flows, win back and loyalty campaigns, tuned for ecommerce and retail scenarios

• Loyalty and lifecycle capabilities: Tools to build and manage loyalty interactions and key customer moments, with an emphasis on lifetime value rather than only immediate conversions

• Extensible ecosystem and integrations: Connects with a broad set of channels and partner tools, so brands can plug in additional capabilities while keeping Emarsys as the orchestration brain

Pros of Emarsys

• It is designed around retail and e-commerce patterns, which makes it practical for marketing teams that want ready-made strategies

• Lets marketers coordinate email, SMS, mobile, ads and web experiences from a single environment, so the same customer data and segments drive everything

• AI and analytics features help with segmentation, next best actions and performance insights to reduce manual analysis and rule building for larger programs

Cons of Emarsys

• The breadth of features and configuration options can create a learning curve if a team is new to marketing automation at this scale

• It is generally treated as a premium solution with custom quotes, which can be more than smaller brands or simple use cases really need

Emarsys pricing 

SAP does not publish fixed plans. Pricing is requested via sales and varies by features, channels and contact volume

4. Insider
   
   

Via Insider

Insider is an AI native customer engagement and personalization platform that sits quite close to Dynamic Yield in spirit, but with a stronger push into cross-channel orchestration. It combines a built-in CDP, predictive segmentation, journey orchestration and a big library of ready-made on-site and messaging experiences.

Where Dynamic Yield is often picked first for web and app personalization with recommendations and testing on digital properties, Insider is usually in the mix when teams want to coordinate experiences across web, app, email, SMS, WhatsApp and push from a single place. It uses real-time behavioral data and AI models to build 360-degree profiles and then activates those audiences across 12-plus channels.

In practice, both tools help with personalized content, recommendations and A/B testing. Insider leans more into being an all-in-one, omnichannel platform rather than just a website personalization engine, which is the deciding factor when teams compare it with Dynamic Yield

Standout features that rival Dynamic Yield

• Integrated CDP and real-time profiles: Unifies zero, first and third-party data from 100+ sources into 360-degree customer profiles with affinities, behaviors, lifecycle stage and predictions, then lets marketers segment and activate those profiles instantly

• Sirius AI for automation: Sirius AI helps discover segments, build journeys, generate campaign content and pick next best products, channels and send times

• Omnichannel journey orchestration canvas: Visual, drag and drop builders for cross-channel journeys across web, app, email, SMS, WhatsApp, web push and more, with triggers based on real-time behavior

• On-site personalization, recommendations and search: Templates for banners, overlays, product recommendations, visual product discovery and site search

• Analytics and reporting built for marketers: Dashboards show journey performance, funnels, product performance and channel contribution

Pros of Insider

• Retail, travel, telecom and other consumer brands can use one platform to cover web, app and messaging channels instead of separate CDP, ESP and personalization tools

• Sirius AI and other machine learning features support segmentation, content generation to aid teams scale personalization without writing rules for everything.

• Out-of-the-box integrations with tools like Salesforce, HubSpot, Shopify and other CRMs and ecommerce platforms help keep Insider connected to the systems teams already use

Cons of Insider

• The interface and feature set might feel overwhelming at first and it takes time to get comfortable with navigation, journeys and analytics

• Insider is positioned at the enterprise end of the market. Smaller teams or those looking for a narrowly focused web personalization tool will find it heavy

Insider pricing

Insider does not publish list prices. Pricing is customized to match traffic, data volume and channels in use. 

5. Salesforce Marketing Cloud
   
   

Via Salesforce Marketing Cloud

Salesforce Marketing Cloud is an enterprise marketing platform that covers email, mobile, advertising, journeys and analytics. 

Within that stack, Marketing Cloud Personalization (formerly Interaction Studio) is the part that competes most directly with Dynamic Yield. It uses real-time behavioral data and AI to build unified profiles and then delivers individualized experiences across web, app, email and other touchpoints.

When teams weigh it against Dynamic Yield, the conversation is usually about ecosystem and scope. Dynamic Yield is a channel-focused personalization engine, while Salesforce Marketing Cloud plus Personalization is a full suite tied tightly into Salesforce Data Cloud and the wider CRM. 

That combination is attractive for organizations that already rely heavily on Salesforce for sales and service and want marketing personalization to draw from the same data layer. 

Standout features that rival Dynamic Yield

• Real-time interaction tracking and unified profiles: Marketing Cloud Personalization tracks on-site and in-app behavior via the Interactions SDK and combines it with other Salesforce data to create rich customer profiles

• AI-driven decisioning and Einstein recommendations: Einstein models suggest next best actions, products and content, and can power recommendation blocks and personalized offers in web and email experiences

• Cross-channel orchestration through Marketing Cloud: Journeys in Marketing Cloud Engagement coordinate email, SMS, push and ads

• Tight integration with Salesforce Data Cloud and CRM: Data Cloud and Personalization share customer profiles that can be used in Marketing Cloud, Sales Cloud and Service Cloud 

• Enterprise-grade governance and ecosystem: Role-based access, security certifications and a large network of implementation partners support global rollouts that sit inside existing Salesforce programs.

Pros of Salesforce Marketing Cloud

• Companies that already use Salesforce for CRM and data management can keep personalization, campaigns and analytics in the same ecosystem

• Marketing Cloud Personalization offers real-time targeting, recommendations and interaction management that map closely to what Dynamic Yield does on web and app

• Combined with Marketing Cloud Engagement and other modules, teams can coordinate email, mobile, ads and on-site experiences from a single platform

Cons of Salesforce Marketing Cloud

• Bringing Data Cloud, Engagement and Personalization together usually requires specialist partners and internal admin skills

• Marketing Cloud Personalization sits firmly in the enterprise budget range, which is more than many mid-market use cases can afford

Salesforce Marketing Cloud pricing 

• Salesforce Starter: $25/month per user

• Marketing Cloud Next Growth Edition: $1,500/org per month (billed annually)

• Marketing Cloud Next Advanced Edition: $3,250/org per month (billed annually)
  
  

6. Adobe Experience Cloud
   
   

Via Adobe

Adobe Experience Cloud is Adobe’s umbrella stack for data, content, analytics, and personalization. 

In the Dynamic Yield context, the most relevant pieces are Adobe Target for testing and personalization, Adobe Real-Time CDP and Real-Time Customer Profile for audience data, and Adobe Journey Optimizer for cross-channel journeys. Together, they give larger brands a full toolkit to run personalization at scale across web, app, email, and paid channels. 

While Dynamic Yield focuses on being a dedicated personalization and recommendations platform, Adobe Experience Cloud is more of a full ecosystem. Teams that pick Adobe are usually looking for a central data layer, tight links to content management and analytics, and the ability to push consistent experiences out across many channels from one place. 

Standout features that rival Dynamic Yield

• Real-time customer profiles as a shared brain: Adobe Real-Time CDP and Real-Time Customer Profile pull data from online, offline, CRM, and third-party sources into unified profiles that update in real time

• Adobe Target for testing, recommendations, and targeting: Target handles A/B and multivariate tests, experience targeting, and recommendations across web, mobile, and other digital channels

• Journey Optimizer for cross-channel orchestration: Adobe Journey Optimizer lets teams design real-time journeys that react to behavior and profile changes

• Tight link with Adobe Experience Manager for content personalization: Experience Manager integrates with Adobe Target, so teams can use experience fragments and targeting rules to serve personalized content on Adobe-powered sites

• AI assistance through Adobe Sensei across the suite: Adobe leans on Sensei AI to support segmentation, lookalike audiences, recommendations, and insights

Pros of Adobe Experience Cloud

• Adobe Experience Cloud combines data, content, analytics, journeys, and personalization, so teams can run most of their digital experience program inside one vendor ecosystem 

• Real-Time CDP, Target, and Journey Optimizer work together to support real-time audiences, page-level personalization, and journey triggers that extend into email, mobile, and ads

• Segments and profiles created in Real-Time CDP are immediately available in Journey Optimizer and Customer Journey Analytics

Cons of Adobe Experience Cloud

• Getting value typically means implementing several products together, configuring data pipelines, and setting up governance

• Even though packages exist for different sizes, the overall cost and effort are usually beyond what smaller teams or simple use cases need

Adobe Experience Cloud pricing

Adobe publishes product-level pricing pages for Real-Time CDP, Journey Optimizer, Target, Analytics, and others, but numbers are provided via sales rather than public list prices